Juli 💎 is a cutting-edge techno-enthusiast and active contributor in AI, blockchain, and crypto spheres who loves blending deep analytical thinking with community engagement. With a knack for dissecting complex systems like Sentient AGI and leading modular blockchain projects, they bring futuristic visions to life while fostering meaningful digital connections. Their presence resonates with trailblazers eager to explore the new frontiers of decentralized tech and collective intelligence.
Juli’s tweeting pace puts polygraphs to shame—if constant tech jargon and rapid-fire insights were Olympic sports, they’d have more gold than Bitcoin has halving events. Remember, even blockchain nodes need a breather!
Juli’s biggest win is successfully contributing to the Sentient AGI project and pioneering the ROMA architecture, which advances AI agent collaboration from sequential tasks to dynamic, parallel reasoning — a true leap toward collective machine intelligence.
To pioneer and accelerate the adoption of transformative technologies by breaking down complex innovations into accessible, actionable insights, while cultivating a vibrant and engaged community around emerging tech trends.
They believe in the power of decentralized systems, collaborative intelligence, and transparent data-driven decision-making. They value authenticity, meaningful engagement, and purposeful innovation that empowers individuals and reshapes the digital landscape for a more connected and scalable future.
Juli's strengths lie in their deep technical understanding, strategic vision, and ability to communicate complex ideas clearly. Their consistent engagement, interdisciplinary approach, and partnerships across innovative projects make them a key connector in the tech ecosystem.
However, their intense focus on technology and high-volume tweeting (9,070 tweets!) can sometimes overwhelm followers, making it hard to keep up with all their insights. They might also risk niche over-specialization, limiting appeal outside hardcore tech circles.
To grow their audience on X, Juli should consider pacing their tweet frequency to improve digestibility and leverage their storytelling skills by creating concise themed threads with actionable takeaways. Hosting regular Spaces centered on AMA sessions or tech deep-dives can boost engagement. Also, crafting shareable one-pagers or visual summaries as free resources can attract and retain a broader audience while reinforcing their thought leadership.
Fun fact: Juli not only explores the theoretical side of AI and blockchain but actively tests and shares hands-on insights — like challenging Sentient Chat with real crypto trading scenarios and experimenting with new modular blockchain infrastructure, bringing bleeding-edge tech from concept to practical use!
I decided to test Sentient Chat from the @SentientAGI project, which combines crypto analytics and AI.
I approached it like a trader, asking about Bitcoin's current structure.
The first question was:
An analyst says $BTC has reclaimed the $104,000 support zone and the next key resistance is around $108,000-$109,000. If this zone is reclaimed, BTC may move to May highs, otherwise retest $104,000 to fill the CME gap. Based on current on-chain data and macro trends, how likely is this scenario?
The response was interesting.
The model assessed that the chance of moving to May highs is moderately high, while the possibility of returning to $104k is still real.
It looked at RSI, market structure, accumulation by large holders, and flows from spot BTC ETFs.
It also noted that macro conditions are cautious: higher rates and risk-off sentiment limit upside, but technically the market is holding.
I decided to go deeper and asked a follow-up:
Can you quantify how large-holder cost basis and exchange flows have changed in the past 7 days, and how these might affect BTC’s ability to hold above $104k?
Sentient Chat replied that over the past week there were signs of pressure on large holders, and flows from spot BTC ETFs temporarily shifted toward outflows.
This adds some pressure on the $104k level, and unless buying demand picks up, holding this zone could be challenging.
On the other hand, if the market shows strong growth with volume spikes, the situation could turn in favor of buyers.
In simple terms, the market is currently balanced on a knife-edge, and moving above $104k depends on whether buyers can regain control.
The model doesn’t give emotional forecasts or say "BTC to the moon". It evaluates probabilities and analyzes what actually affects the price.
Even without precise numbers, Sentient Chat can combine technical analysis, macro trends, and on-chain signals into logical reasoning.
It gives an interesting perspective on the market, helping to understand not just where the price might go, but why it could end up there.
#SentientAGI#Bitcoin#CryptoTrading
Growing an account on X has always been a hot topic - and honestly, not an easy one. Algorithms keep changing, people’s attention is scattered everywhere, and standing out takes work.
Since I’m involved in ambassador programs, having a strong and active X profile really matters. I’ve been growing my X account for almost four years, but I only started seeing real results over the last few months.
There’s no secret formula.
I just started spending more time on X - liking, commenting, engaging with others.
Recently, I decided to ask @SentientAGI Chat for advice on how to grow my followers and reach.
Here’s what it told me - and honestly, it makes a lot of sense.
First, it’s not about quantity - it’s about meaning.
Quality posts beat frequency every time.
2-3 tweets a day are enough - but they need to be valuable: a piece of news, an opinion, a meme, or a short insight that makes people react - like, comment, or retweet.
And always end with a question. People love to share their thoughts.
It also highlighted the power of threads.
Keep them short - up to 5 tweets. Each one should explain something, solve a problem, inspire, or at least make people smile.
Next - engagement.
Don’t just drop a post and disappear.
Reply to comments, join conversations, add your take under other people’s tweets, quote-tweet with context instead of a plain "Nice!"
And if you can host Spaces at least once a week - do it. People connect more deeply when they hear your voice.
Third - audience growth.
It’s not about following everyone. It’s about finding your tribe - the people who share your interests and values.
Sentient Chat suggested creating a small free resource - a checklist, cheat sheet, or mini-guide that would be genuinely useful to your followers. It’s a great way to offer value and build stronger connections.
Giveaways, collaborations, "tag a friend" posts - those can work too, as long as they feel authentic, not desperate for numbers.
And then - stay on top of trends.
Don’t wait until the topic goes cold.
If something starts trending, you’ve got 15–30 minutes to jump in with your take - data, a prediction, or even a funny meme.
If a post gains traction - pin it. Let new visitors instantly see what you’re about.
And if you have several tweets on the same theme, turn them into a Moment - it turns scattered thoughts into a story.
Finally - analyze and improve.
Once a week, check what performed best and why.
Double down on what works. Drop what doesn’t.
I’m not expecting thousands of new followers overnight.
But I’ve realized something important: there are no secret hacks or algorithm cheats.
What really works is consistency, genuine connection, and the desire to be useful, interesting, and real.
That’s exactly what I’m focusing on from now on.
I’ve left screenshots of the chat’s answers in the comments.
I’ve written before about ROMA - the architecture that powers @SentientAGI. Back then it felt like an interesting idea: break a complex task into smaller pieces, solve them step by step, and put everything back together. With ROMA v0.2.0, this idea finally turned into something you can actually watch in action.
Sentient isn’t just a collection of agents. It’s a system where they learn to think together. Each one takes a part of a shared goal, works autonomously, but stays aligned with the overall intent. Before, everything happened one after another: one agent finished, the next one started. Now they work in parallel.
When a request comes in, ROMA doesn’t tackle it head-on. It breaks the goal into subtasks, distributes them among agents, and runs them at the same time. Each agent focuses on its own piece, using only the context it needs. Once all are done, an aggregator combines the results into a single, coherent answer.
To see how it works, I tried it in Sentient Chat. I asked: "Create an overview of how different countries are using AI in healthcare".
Instantly, ROMA split the request into parts - some agents searched for data, others analyzed regional initiatives, another started drafting the summary. Everything happened in parallel. A couple of minutes later I had a clean, structured report without duplicates or lost context.
Parallel execution sounds simple, but it’s one of the most powerful ideas behind ROMA. It speeds things up, avoids context overload, and makes agent collaboration feel almost alive. If one gets stuck, the others keep going. If one finds something useful, everyone else can immediately use it. It’s like a team where each member knows their part but still moves in sync.
ROMA also decides which models and tools to use for each subtask, so resources are spent wisely. The result isn’t just faster - it’s sharper and more consistent. For Sentient, this is a step toward real collective reasoning. Agents no longer just execute commands in sequence; they think together, in parallel, like members of a shared mind.
This kind of distributed reasoning feels very human - not linear, but dynamic, full of overlaps and spontaneous insights. That’s what makes ROMA v0.2.0 so exciting: it’s teaching Sentient to think less like a machine and more like a community.
Partnership with @AvailProject takes @NexusLabs into a new chapter of the modular blockchain era.
Nexus is building verifiable infrastructure for the next generation of apps, and Avail brings a breakthrough in data availability. It’s the kind of base layer that really moves the whole ecosystem forward:
- up to 90% cheaper than Ethereum DA
- 15× faster transaction verification
- horizontally scalable, no ceiling
Once the Nexus mainnet is live, Avail’s DA will plug directly into L1. For developers, that means launching rollups, appchains, and dApps without the extra costs or bottlenecks - while still keeping the trust and proof guarantees that make blockchains worth it.
Why does this matter? The modular stack is no longer just theory. The real bottleneck has been data availability. Avail solves that. And with the Nexus integration, one of the first ecosystems will get direct access to next-gen DA.
And this is just the start. As Avail mainnet goes live, new tools and use cases will open up for building scalable, trust-minimized apps.
@briwhoze@danielmarinq
📣@NexusLabs launches Node Runners.
Finished your quests on the site?
Now you can swap points for NFT Glyphs. Minting happens on Ethereum, and it’s smarter to do it in the morning when gas is lower.
Glyphs are digital artifacts that prove your contribution to the Hexgrid. They come in three rarity tiers: gold, platinum, and diamond.
New quests drop every week. They bring points, unlock fresh collections, and help you grow your reputation.
Don’t miss the Genesis Glyph. It marks the moment you joined the Hexgrid: week one - Alpha Genesis Glyph, week two - Beta Genesis Glyph, week three - Gamma Genesis Glyph, and so on.
Start your quests and claim your Glyphs here: quest.nexus.xyz/loyaltyquest.nexus.xyz/noderunners@danielmarinq@briwhoze
𝐓𝐡𝐫𝐞𝐞 𝐛𝐢𝐠 𝐮𝐩𝐝𝐚𝐭𝐞𝐬 𝐟𝐫𝐨𝐦 𝐒𝐞𝐧𝐭𝐢𝐞𝐧𝐭 𝐲𝐨𝐮 𝐬𝐡𝐨𝐮𝐥𝐝𝐧’𝐭 𝐦𝐢𝐬𝐬
@SentientAGI won AI Startup of the Year at the Minsky Awards - and it’s more than a shiny trophy. It’s recognition for real work that’s pushing the field forward.
ROMA Search is now leading the pack in multi-step reasoning with 81.7% accuracy on the FRAMES benchmark. On SEAL-0, ROMA hit 45.6%, more than doubling Gemini 2.5 Pro’s score.
Full details and code are open on GitHub: github.com/sentient-agi/R…
----------------------------------------------------------
Sentient keeps growing with its community. Getting into the Yapper Leaderboard @KaitoAI is now easier - the entry threshold has been lowered. Around 20 yaps should be enough to make the list, depending on your activity.
The mission stays the same: make open-source AI win, not something controlled by a single company. The Sentient Leaderboard is already live - see who’s driving the movement forward.
yaps.kaito.ai/sentient
----------------------------------------------------------
And finally, mark your calendars.
October 13, 2025, at 15:00 UTC, join the Sentient Community Call on Discord with co-founder Himanshu Tyagi. It’s a rare chance to ask questions directly to one of the people shaping Sentient from the ground up.
You can drop your question right now in Discord discord.gg/sentientfounda…
Right now, the crypto-AI space is more than just scattered experiments. @SentientAGI is helping move things forward. They’re not building a single giant AI - they’re creating a network where models, agents, and tools work together, and the community can actively contribute and benefit.
Sentient works around their OML idea - Open, Monetizable, Loyal. Models are open to everyone, creators can earn from their work, and the system stays loyal to the community that helped build it.
The system has two core parts:
-> Blockchain infrastructure that handles ownership, transparency, and governance.
-> Infrastructure for collaborative model development, where the community can help curate data and train models. This way, the AI reflects both practical goals and the values of the people contributing to it.
Sentient isn’t about making just another giant AI model. They’re building an ecosystem where creators, data, models, and users all participate. The goal is to give the community real influence and reduce the control of big corporations over AI development.
#SentientAGI
Great choice of projects.
Especially @SentientAGI. You can really feel there’s actual movement here, not just an idea for hype. They’re building an open system where AI develops with the whole community. GRID connects hundreds of models and agents that work together to solve tasks, and ROMA helps the network handle more complex, multi-layered problems. It works like a living organism that grows on its own and gives people a real chance to participate.
@KaitoAI is an interesting tool that helps make sense of the flood of Web3 and AI information. It simplifies search and understanding, but it doesn’t build intelligence itself.
@billions_ntwk adds a layer of identity and reputation. The project verifies humans and AI agents using zero-knowledge proofs without mandatory biometrics, and it’s already an official partner of Sentient. This means Sentient’s ecosystem can rely on verified participants and agents, making interactions and trust more reliable.
Together, these three projects create a sense of a living ecosystem: intelligence, knowledge, and verified participants.
Continuing the @SentientAGI breakdown.
< Today - how the system understands not just words, but the intention behind them>
When we write a query, it’s rarely perfect. More often, it’s a rough thought, half-formed. In most systems, that leads to a literal interpretation: you say one thing - it gives you a technically correct but empty answer.
Sentient works differently
-> It doesn’t just match words; it tries to grasp meaning. What you’re actually trying to do, where your thought is headed.
For example, if you ask about crypto market dynamics, Sentient won’t just fetch the latest charts. It understands that you care about the trend, the context, the causes. One agent pulls the numbers, another analyzes the news, a third connects everything into a coherent picture.
The system unfolds your intent into a sequence of actions.
It feels different - not like talking to a machine, but like a conversation with something that listens. Something that doesn’t wait for perfect instructions but can infer what you need.
Sentient doesn’t just execute commands - it helps you think. It picks up your idea, expands it, and returns it in a clearer form.
𝐖𝐡𝐚𝐭 𝐢𝐟 𝐚 𝐝𝐨𝐦𝐚𝐢𝐧 𝐧𝐚𝐦𝐞 𝐢𝐬 𝐧𝐨𝐭 𝐣𝐮𝐬𝐭 𝐚𝐧 𝐚𝐝𝐝𝐫𝐞𝐬𝐬 𝐛𝐮𝐭 𝐚 𝐟𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐚𝐬𝐬𝐞𝐭?
@domaprotocol builds a bridge between traditional domains and Web3 - this is DomainFi.
Domains are digital real estate. The market is worth tens of billions, but domains are illiquid: you can’t split them or use them in finance.
> Doma Protocol solves this. It turns domains into tokens (Domain Ownership Tokens), fully compatible with DNS and ICANN, making them as flexible as NFTs or any crypto token.
The key innovation is fractionalization. A single domain can be divided into shares, just like a company. Investors can own fractions of premium domains, trade them freely, or even use them as collateral in DeFi.
Why it matters:
• Brings liquidity to the massive domain market
• Unlocks DeFi use cases: lending, yield, trading
• Makes the market accessible to everyone, not just big players
Doma Protocol connects Web2 and Web3, turning domains into a new class of digital assets.
Learn more: doma.xyz@D3inc
The partnership between @SentientAGI and @askalphaxiv feels like a strong move. It’s the kind of collaboration that can actually speed up open research and make AI science more accessible to people who don’t just want to read papers but build something new.
alphaXiv has already proven itself as one of the best platforms for discovering and breaking down the latest research. In a world where AI evolves at a crazy pace, being able to navigate new ideas fast isn’t just nice to have - it’s essential.
Sentient and alphaXiv plan to host regular community sessions focused on topics like model security, agent architecture, and open-source development. The goal is simple: real conversations between engineers and researchers, without the corporate filter. A place where knowledge actually circulates.
The alphaXiv community will also get the chance to bring their research ideas to life through Sentient’s open foundation. It’s a setup where science doesn’t just stay theoretical - it turns into working tools and models.
Personally, I think this alliance makes perfect sense. alphaXiv is turning into a real global research hub, and Sentient adds the open infrastructure and engineering power to turn ideas into impact.
📣@NexusLabs Roles: Community Guide Video
The ecosystem is growing fast — understanding how to actively contribute is key
The video covers the essentials. Here’s a bit more context that didn’t make it in:
Proof of Community
An open, collaborative space powered by creativity, knowledge, and meaningful contributions.
There’s room for everyone — from artists and developers to those who simply enjoy helping others.
Roles = contribution, not status:
→ Consistent, valuable participation matters
→ Roles aren’t given on request
→ Reviewed monthly
→ Up to 15 members per role starting June 2025
Each month brings a new chance to stand out.
@briwhoze
I decided to test Sentient Chat from the @SentientAGI project, which combines crypto analytics and AI.
I approached it like a trader, asking about Bitcoin's current structure.
The first question was:
An analyst says $BTC has reclaimed the $104,000 support zone and the next key resistance is around $108,000-$109,000. If this zone is reclaimed, BTC may move to May highs, otherwise retest $104,000 to fill the CME gap. Based on current on-chain data and macro trends, how likely is this scenario?
The response was interesting.
The model assessed that the chance of moving to May highs is moderately high, while the possibility of returning to $104k is still real.
It looked at RSI, market structure, accumulation by large holders, and flows from spot BTC ETFs.
It also noted that macro conditions are cautious: higher rates and risk-off sentiment limit upside, but technically the market is holding.
I decided to go deeper and asked a follow-up:
Can you quantify how large-holder cost basis and exchange flows have changed in the past 7 days, and how these might affect BTC’s ability to hold above $104k?
Sentient Chat replied that over the past week there were signs of pressure on large holders, and flows from spot BTC ETFs temporarily shifted toward outflows.
This adds some pressure on the $104k level, and unless buying demand picks up, holding this zone could be challenging.
On the other hand, if the market shows strong growth with volume spikes, the situation could turn in favor of buyers.
In simple terms, the market is currently balanced on a knife-edge, and moving above $104k depends on whether buyers can regain control.
The model doesn’t give emotional forecasts or say "BTC to the moon". It evaluates probabilities and analyzes what actually affects the price.
Even without precise numbers, Sentient Chat can combine technical analysis, macro trends, and on-chain signals into logical reasoning.
It gives an interesting perspective on the market, helping to understand not just where the price might go, but why it could end up there.
#SentientAGI#Bitcoin#CryptoTrading
Growing an account on X has always been a hot topic - and honestly, not an easy one. Algorithms keep changing, people’s attention is scattered everywhere, and standing out takes work.
Since I’m involved in ambassador programs, having a strong and active X profile really matters. I’ve been growing my X account for almost four years, but I only started seeing real results over the last few months.
There’s no secret formula.
I just started spending more time on X - liking, commenting, engaging with others.
Recently, I decided to ask @SentientAGI Chat for advice on how to grow my followers and reach.
Here’s what it told me - and honestly, it makes a lot of sense.
First, it’s not about quantity - it’s about meaning.
Quality posts beat frequency every time.
2-3 tweets a day are enough - but they need to be valuable: a piece of news, an opinion, a meme, or a short insight that makes people react - like, comment, or retweet.
And always end with a question. People love to share their thoughts.
It also highlighted the power of threads.
Keep them short - up to 5 tweets. Each one should explain something, solve a problem, inspire, or at least make people smile.
Next - engagement.
Don’t just drop a post and disappear.
Reply to comments, join conversations, add your take under other people’s tweets, quote-tweet with context instead of a plain "Nice!"
And if you can host Spaces at least once a week - do it. People connect more deeply when they hear your voice.
Third - audience growth.
It’s not about following everyone. It’s about finding your tribe - the people who share your interests and values.
Sentient Chat suggested creating a small free resource - a checklist, cheat sheet, or mini-guide that would be genuinely useful to your followers. It’s a great way to offer value and build stronger connections.
Giveaways, collaborations, "tag a friend" posts - those can work too, as long as they feel authentic, not desperate for numbers.
And then - stay on top of trends.
Don’t wait until the topic goes cold.
If something starts trending, you’ve got 15–30 minutes to jump in with your take - data, a prediction, or even a funny meme.
If a post gains traction - pin it. Let new visitors instantly see what you’re about.
And if you have several tweets on the same theme, turn them into a Moment - it turns scattered thoughts into a story.
Finally - analyze and improve.
Once a week, check what performed best and why.
Double down on what works. Drop what doesn’t.
I’m not expecting thousands of new followers overnight.
But I’ve realized something important: there are no secret hacks or algorithm cheats.
What really works is consistency, genuine connection, and the desire to be useful, interesting, and real.
That’s exactly what I’m focusing on from now on.
I’ve left screenshots of the chat’s answers in the comments.
I’ve written before about ROMA - the architecture that powers @SentientAGI. Back then it felt like an interesting idea: break a complex task into smaller pieces, solve them step by step, and put everything back together. With ROMA v0.2.0, this idea finally turned into something you can actually watch in action.
Sentient isn’t just a collection of agents. It’s a system where they learn to think together. Each one takes a part of a shared goal, works autonomously, but stays aligned with the overall intent. Before, everything happened one after another: one agent finished, the next one started. Now they work in parallel.
When a request comes in, ROMA doesn’t tackle it head-on. It breaks the goal into subtasks, distributes them among agents, and runs them at the same time. Each agent focuses on its own piece, using only the context it needs. Once all are done, an aggregator combines the results into a single, coherent answer.
To see how it works, I tried it in Sentient Chat. I asked: "Create an overview of how different countries are using AI in healthcare".
Instantly, ROMA split the request into parts - some agents searched for data, others analyzed regional initiatives, another started drafting the summary. Everything happened in parallel. A couple of minutes later I had a clean, structured report without duplicates or lost context.
Parallel execution sounds simple, but it’s one of the most powerful ideas behind ROMA. It speeds things up, avoids context overload, and makes agent collaboration feel almost alive. If one gets stuck, the others keep going. If one finds something useful, everyone else can immediately use it. It’s like a team where each member knows their part but still moves in sync.
ROMA also decides which models and tools to use for each subtask, so resources are spent wisely. The result isn’t just faster - it’s sharper and more consistent. For Sentient, this is a step toward real collective reasoning. Agents no longer just execute commands in sequence; they think together, in parallel, like members of a shared mind.
This kind of distributed reasoning feels very human - not linear, but dynamic, full of overlaps and spontaneous insights. That’s what makes ROMA v0.2.0 so exciting: it’s teaching Sentient to think less like a machine and more like a community.
Right now, the crypto-AI space is more than just scattered experiments. @SentientAGI is helping move things forward. They’re not building a single giant AI - they’re creating a network where models, agents, and tools work together, and the community can actively contribute and benefit.
Sentient works around their OML idea - Open, Monetizable, Loyal. Models are open to everyone, creators can earn from their work, and the system stays loyal to the community that helped build it.
The system has two core parts:
-> Blockchain infrastructure that handles ownership, transparency, and governance.
-> Infrastructure for collaborative model development, where the community can help curate data and train models. This way, the AI reflects both practical goals and the values of the people contributing to it.
Sentient isn’t about making just another giant AI model. They’re building an ecosystem where creators, data, models, and users all participate. The goal is to give the community real influence and reduce the control of big corporations over AI development.
#SentientAGI
𝐓𝐡𝐫𝐞𝐞 𝐛𝐢𝐠 𝐮𝐩𝐝𝐚𝐭𝐞𝐬 𝐟𝐫𝐨𝐦 𝐒𝐞𝐧𝐭𝐢𝐞𝐧𝐭 𝐲𝐨𝐮 𝐬𝐡𝐨𝐮𝐥𝐝𝐧’𝐭 𝐦𝐢𝐬𝐬
@SentientAGI won AI Startup of the Year at the Minsky Awards - and it’s more than a shiny trophy. It’s recognition for real work that’s pushing the field forward.
ROMA Search is now leading the pack in multi-step reasoning with 81.7% accuracy on the FRAMES benchmark. On SEAL-0, ROMA hit 45.6%, more than doubling Gemini 2.5 Pro’s score.
Full details and code are open on GitHub: github.com/sentient-agi/R…
----------------------------------------------------------
Sentient keeps growing with its community. Getting into the Yapper Leaderboard @KaitoAI is now easier - the entry threshold has been lowered. Around 20 yaps should be enough to make the list, depending on your activity.
The mission stays the same: make open-source AI win, not something controlled by a single company. The Sentient Leaderboard is already live - see who’s driving the movement forward.
yaps.kaito.ai/sentient
----------------------------------------------------------
And finally, mark your calendars.
October 13, 2025, at 15:00 UTC, join the Sentient Community Call on Discord with co-founder Himanshu Tyagi. It’s a rare chance to ask questions directly to one of the people shaping Sentient from the ground up.
You can drop your question right now in Discord discord.gg/sentientfounda…
The partnership between @SentientAGI and @askalphaxiv feels like a strong move. It’s the kind of collaboration that can actually speed up open research and make AI science more accessible to people who don’t just want to read papers but build something new.
alphaXiv has already proven itself as one of the best platforms for discovering and breaking down the latest research. In a world where AI evolves at a crazy pace, being able to navigate new ideas fast isn’t just nice to have - it’s essential.
Sentient and alphaXiv plan to host regular community sessions focused on topics like model security, agent architecture, and open-source development. The goal is simple: real conversations between engineers and researchers, without the corporate filter. A place where knowledge actually circulates.
The alphaXiv community will also get the chance to bring their research ideas to life through Sentient’s open foundation. It’s a setup where science doesn’t just stay theoretical - it turns into working tools and models.
Personally, I think this alliance makes perfect sense. alphaXiv is turning into a real global research hub, and Sentient adds the open infrastructure and engineering power to turn ideas into impact.
Continuing the @SentientAGI breakdown.
< Today - how the system understands not just words, but the intention behind them>
When we write a query, it’s rarely perfect. More often, it’s a rough thought, half-formed. In most systems, that leads to a literal interpretation: you say one thing - it gives you a technically correct but empty answer.
Sentient works differently
-> It doesn’t just match words; it tries to grasp meaning. What you’re actually trying to do, where your thought is headed.
For example, if you ask about crypto market dynamics, Sentient won’t just fetch the latest charts. It understands that you care about the trend, the context, the causes. One agent pulls the numbers, another analyzes the news, a third connects everything into a coherent picture.
The system unfolds your intent into a sequence of actions.
It feels different - not like talking to a machine, but like a conversation with something that listens. Something that doesn’t wait for perfect instructions but can infer what you need.
Sentient doesn’t just execute commands - it helps you think. It picks up your idea, expands it, and returns it in a clearer form.
Great choice of projects.
Especially @SentientAGI. You can really feel there’s actual movement here, not just an idea for hype. They’re building an open system where AI develops with the whole community. GRID connects hundreds of models and agents that work together to solve tasks, and ROMA helps the network handle more complex, multi-layered problems. It works like a living organism that grows on its own and gives people a real chance to participate.
@KaitoAI is an interesting tool that helps make sense of the flood of Web3 and AI information. It simplifies search and understanding, but it doesn’t build intelligence itself.
@billions_ntwk adds a layer of identity and reputation. The project verifies humans and AI agents using zero-knowledge proofs without mandatory biometrics, and it’s already an official partner of Sentient. This means Sentient’s ecosystem can rely on verified participants and agents, making interactions and trust more reliable.
Together, these three projects create a sense of a living ecosystem: intelligence, knowledge, and verified participants.
Partnership with @AvailProject takes @NexusLabs into a new chapter of the modular blockchain era.
Nexus is building verifiable infrastructure for the next generation of apps, and Avail brings a breakthrough in data availability. It’s the kind of base layer that really moves the whole ecosystem forward:
- up to 90% cheaper than Ethereum DA
- 15× faster transaction verification
- horizontally scalable, no ceiling
Once the Nexus mainnet is live, Avail’s DA will plug directly into L1. For developers, that means launching rollups, appchains, and dApps without the extra costs or bottlenecks - while still keeping the trust and proof guarantees that make blockchains worth it.
Why does this matter? The modular stack is no longer just theory. The real bottleneck has been data availability. Avail solves that. And with the Nexus integration, one of the first ecosystems will get direct access to next-gen DA.
And this is just the start. As Avail mainnet goes live, new tools and use cases will open up for building scalable, trust-minimized apps.
@briwhoze@danielmarinq
📣@NexusLabs Roles: Community Guide Video
The ecosystem is growing fast — understanding how to actively contribute is key
The video covers the essentials. Here’s a bit more context that didn’t make it in:
Proof of Community
An open, collaborative space powered by creativity, knowledge, and meaningful contributions.
There’s room for everyone — from artists and developers to those who simply enjoy helping others.
Roles = contribution, not status:
→ Consistent, valuable participation matters
→ Roles aren’t given on request
→ Reviewed monthly
→ Up to 15 members per role starting June 2025
Each month brings a new chance to stand out.
@briwhoze
𝐖𝐡𝐚𝐭 𝐢𝐟 𝐚 𝐝𝐨𝐦𝐚𝐢𝐧 𝐧𝐚𝐦𝐞 𝐢𝐬 𝐧𝐨𝐭 𝐣𝐮𝐬𝐭 𝐚𝐧 𝐚𝐝𝐝𝐫𝐞𝐬𝐬 𝐛𝐮𝐭 𝐚 𝐟𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐚𝐬𝐬𝐞𝐭?
@domaprotocol builds a bridge between traditional domains and Web3 - this is DomainFi.
Domains are digital real estate. The market is worth tens of billions, but domains are illiquid: you can’t split them or use them in finance.
> Doma Protocol solves this. It turns domains into tokens (Domain Ownership Tokens), fully compatible with DNS and ICANN, making them as flexible as NFTs or any crypto token.
The key innovation is fractionalization. A single domain can be divided into shares, just like a company. Investors can own fractions of premium domains, trade them freely, or even use them as collateral in DeFi.
Why it matters:
• Brings liquidity to the massive domain market
• Unlocks DeFi use cases: lending, yield, trading
• Makes the market accessible to everyone, not just big players
Doma Protocol connects Web2 and Web3, turning domains into a new class of digital assets.
Learn more: doma.xyz@D3inc
📣@NexusLabs launches Node Runners.
Finished your quests on the site?
Now you can swap points for NFT Glyphs. Minting happens on Ethereum, and it’s smarter to do it in the morning when gas is lower.
Glyphs are digital artifacts that prove your contribution to the Hexgrid. They come in three rarity tiers: gold, platinum, and diamond.
New quests drop every week. They bring points, unlock fresh collections, and help you grow your reputation.
Don’t miss the Genesis Glyph. It marks the moment you joined the Hexgrid: week one - Alpha Genesis Glyph, week two - Beta Genesis Glyph, week three - Gamma Genesis Glyph, and so on.
Start your quests and claim your Glyphs here: quest.nexus.xyz/loyaltyquest.nexus.xyz/noderunners@danielmarinq@briwhoze
Chief AI Officer @mightybeargames & @playgoatgaming • 🇫🇷 in 🇸🇬 • Innovating AI tools & leading creative teams • Connect for AI insights & collaboration.
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Algorithms keep changing, people’s attention is scattered everywhere, and standing out takes work.\n\nSince I’m involved in ambassador programs, having a strong and active X profile really matters. I’ve been growing my X account for almost four years, but I only started seeing real results over the last few months.\n\nThere’s no secret formula.\nI just started spending more time on X - liking, commenting, engaging with others.\nRecently, I decided to ask @SentientAGI Chat for advice on how to grow my followers and reach.\n\nHere’s what it told me - and honestly, it makes a lot of sense.\n\nFirst, it’s not about quantity - it’s about meaning.\nQuality posts beat frequency every time.\n2-3 tweets a day are enough - but they need to be valuable: a piece of news, an opinion, a meme, or a short insight that makes people react - like, comment, or retweet.\n\nAnd always end with a question. People love to share their thoughts.\n\nIt also highlighted the power of threads.\nKeep them short - up to 5 tweets. Each one should explain something, solve a problem, inspire, or at least make people smile.\n\nNext - engagement.\nDon’t just drop a post and disappear.\nReply to comments, join conversations, add your take under other people’s tweets, quote-tweet with context instead of a plain \"Nice!\"\n\nAnd if you can host Spaces at least once a week - do it. People connect more deeply when they hear your voice.\n\nThird - audience growth.\nIt’s not about following everyone. It’s about finding your tribe - the people who share your interests and values.\n\nSentient Chat suggested creating a small free resource - a checklist, cheat sheet, or mini-guide that would be genuinely useful to your followers. It’s a great way to offer value and build stronger connections.\n\nGiveaways, collaborations, \"tag a friend\" posts - those can work too, as long as they feel authentic, not desperate for numbers.\n\nAnd then - stay on top of trends.\nDon’t wait until the topic goes cold.\nIf something starts trending, you’ve got 15–30 minutes to jump in with your take - data, a prediction, or even a funny meme.\n\nIf a post gains traction - pin it. Let new visitors instantly see what you’re about.\n\nAnd if you have several tweets on the same theme, turn them into a Moment - it turns scattered thoughts into a story.\n\nFinally - analyze and improve.\nOnce a week, check what performed best and why.\nDouble down on what works. Drop what doesn’t.\n\nI’m not expecting thousands of new followers overnight.\nBut I’ve realized something important: there are no secret hacks or algorithm cheats.\nWhat really works is consistency, genuine connection, and the desire to be useful, interesting, and real.\n\nThat’s exactly what I’m focusing on from now on.\n\nI’ve left screenshots of the chat’s answers in the comments.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,278],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/MmkTRvJJSh","expanded_url":"https://x.com/Ju1i_crypto/status/1985982550259433483/photo/1","id_str":"1985979244061577216","indices":[279,302],"media_key":"16_1985979244061577216","media_url_https":"https://pbs.twimg.com/tweet_video_thumb/G4-dma2W0AA5I23.jpg","type":"animated_gif","url":"https://t.co/MmkTRvJJSh","ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":388,"w":692,"resize":"fit"},"medium":{"h":388,"w":692,"resize":"fit"},"small":{"h":381,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":388,"width":692,"focus_rects":[]},"allow_download_status":{"allow_download":true},"video_info":{"aspect_ratio":[173,97],"variants":[{"bitrate":0,"content_type":"video/mp4","url":"https://video.twimg.com/tweet_video/G4-dma2W0AA5I23.mp4"}]},"media_results":{"result":{"media_key":"16_1985979244061577216"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1754853230545133568","name":"Sentient","screen_name":"SentientAGI","indices":[62,74]},{"id_str":"1754853230545133568","name":"Sentient","screen_name":"SentientAGI","indices":[62,74]}]},"extended_entities":{"media":[{"display_url":"pic.x.com/MmkTRvJJSh","expanded_url":"https://x.com/Ju1i_crypto/status/1985982550259433483/photo/1","id_str":"1985979244061577216","indices":[279,302],"media_key":"16_1985979244061577216","media_url_https":"https://pbs.twimg.com/tweet_video_thumb/G4-dma2W0AA5I23.jpg","type":"animated_gif","url":"https://t.co/MmkTRvJJSh","ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":388,"w":692,"resize":"fit"},"medium":{"h":388,"w":692,"resize":"fit"},"small":{"h":381,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":388,"width":692,"focus_rects":[]},"allow_download_status":{"allow_download":true},"video_info":{"aspect_ratio":[173,97],"variants":[{"bitrate":0,"content_type":"video/mp4","url":"https://video.twimg.com/tweet_video/G4-dma2W0AA5I23.mp4"}]},"media_results":{"result":{"media_key":"16_1985979244061577216"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"quoted_status_id_str":"1981024179362091126","quoted_status_permalink":{"url":"https://t.co/oe6G1C5EMc","expanded":"https://twitter.com/sala88232/status/1981024179362091126","display":"x.com/sala88232/stat…"},"retweeted":false,"fact_check":null,"id":"1985982550259433483","view_count":1245,"bookmark_count":4,"created_at":1762330112000,"favorite_count":96,"quote_count":0,"reply_count":48,"retweet_count":5,"user_id_str":"1480177210401210368","conversation_id_str":"1985982550259433483","full_text":"I’ve written before about ROMA - the architecture that powers @SentientAGI. Back then it felt like an interesting idea: break a complex task into smaller pieces, solve them step by step, and put everything back together. With ROMA v0.2.0, this idea finally turned into something you can actually watch in action.\n\nSentient isn’t just a collection of agents. It’s a system where they learn to think together. Each one takes a part of a shared goal, works autonomously, but stays aligned with the overall intent. Before, everything happened one after another: one agent finished, the next one started. Now they work in parallel.\n\nWhen a request comes in, ROMA doesn’t tackle it head-on. It breaks the goal into subtasks, distributes them among agents, and runs them at the same time. Each agent focuses on its own piece, using only the context it needs. Once all are done, an aggregator combines the results into a single, coherent answer.\n\nTo see how it works, I tried it in Sentient Chat. I asked: \"Create an overview of how different countries are using AI in healthcare\". \nInstantly, ROMA split the request into parts - some agents searched for data, others analyzed regional initiatives, another started drafting the summary. Everything happened in parallel. A couple of minutes later I had a clean, structured report without duplicates or lost context.\n\nParallel execution sounds simple, but it’s one of the most powerful ideas behind ROMA. It speeds things up, avoids context overload, and makes agent collaboration feel almost alive. If one gets stuck, the others keep going. If one finds something useful, everyone else can immediately use it. It’s like a team where each member knows their part but still moves in sync.\n\nROMA also decides which models and tools to use for each subtask, so resources are spent wisely. The result isn’t just faster - it’s sharper and more consistent. For Sentient, this is a step toward real collective reasoning. Agents no longer just execute commands in sequence; they think together, in parallel, like members of a shared mind.\n\nThis kind of distributed reasoning feels very human - not linear, but dynamic, full of overlaps and spontaneous insights. 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It doesn’t feel like the euphoric end of a cycle, more like a long pause that won’t end.\n\nI got curious what Sentient Chat would say - the smart AI platform that combines multiple analytical agents and looks at the market from different angles.\n\nSo I asked:\nIs the 4-year Bitcoin cycle still valid, or are we already in a new kind of extended cycle?\n\nHere’s what it answered:\nBottom line: The classic 4-year halving-driven cycle still offers a useful reference, but Bitcoin’s price action in late 2025 shows a prolonged post-halving consolidation that stretches the traditional pattern into a longer-term \"extended\" cycle. \n\nIt even pulled up a quick data table:\nPrice - $108K, RSI - 27.9 (oversold), 24h change -\n-2.34%.\n\nThen came a structured breakdown:\na recap of past halvings from 2012 to 2024 and how each one led to a new peak 12-18 months later;\na macro section mentioning the U.S. Treasury’s \"strategic Bitcoin reserve\" comment, Powell’s rate talk, and governance tension around BIP-444;\nnotes on institutional behavior - whale accumulation on Binance but ETF outflows in the hundreds of millions.\n\nOn the technical side, it highlighted support at 106.8K, resistance at 113.6K, and an oversold RSI that could hint at a short-term bounce. \n\nIn the end, it concluded that the 4-year cycle still matters but the market has entered a stretched consolidation phase - the same rhythm, just slower.\n\nIt read more like an analyst’s market brief than a chatbot reply.\nCalm, structured, no hype - just data, links, and reasoning.\n\nFor now, @SentientAGI seems to view the market not as a breakdown, but as a prolonged pause.\nWe’ll see if that turns out to be true.\n\n#Bitcoin #BTC 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decided to test Sentient Chat from the @SentientAGI project, which combines crypto analytics and AI.\nI approached it like a trader, asking about Bitcoin's current structure.\n\nThe first question was:\nAn analyst says $BTC has reclaimed the $104,000 support zone and the next key resistance is around $108,000-$109,000. If this zone is reclaimed, BTC may move to May highs, otherwise retest $104,000 to fill the CME gap. Based on current on-chain data and macro trends, how likely is this scenario?\n\nThe response was interesting.\nThe model assessed that the chance of moving to May highs is moderately high, while the possibility of returning to $104k is still real.\nIt looked at RSI, market structure, accumulation by large holders, and flows from spot BTC ETFs.\nIt also noted that macro conditions are cautious: higher rates and risk-off sentiment limit upside, but technically the market is holding.\n\nI decided to go deeper and asked a follow-up:\nCan you quantify how large-holder cost basis and exchange flows have changed in the past 7 days, and how these might affect BTC’s ability to hold above $104k?\n\nSentient Chat replied that over the past week there were signs of pressure on large holders, and flows from spot BTC ETFs temporarily shifted toward outflows.\nThis adds some pressure on the $104k level, and unless buying demand picks up, holding this zone could be challenging.\nOn the other hand, if the market shows strong growth with volume spikes, the situation could turn in favor of buyers.\n\nIn simple terms, the market is currently balanced on a knife-edge, and moving above $104k depends on whether buyers can regain control.\nThe model doesn’t give emotional forecasts or say \"BTC to the moon\". 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Algorithms keep changing, people’s attention is scattered everywhere, and standing out takes work.\n\nSince I’m involved in ambassador programs, having a strong and active X profile really matters. I’ve been growing my X account for almost four years, but I only started seeing real results over the last few months.\n\nThere’s no secret formula.\nI just started spending more time on X - liking, commenting, engaging with others.\nRecently, I decided to ask @SentientAGI Chat for advice on how to grow my followers and reach.\n\nHere’s what it told me - and honestly, it makes a lot of sense.\n\nFirst, it’s not about quantity - it’s about meaning.\nQuality posts beat frequency every time.\n2-3 tweets a day are enough - but they need to be valuable: a piece of news, an opinion, a meme, or a short insight that makes people react - like, comment, or retweet.\n\nAnd always end with a question. People love to share their thoughts.\n\nIt also highlighted the power of threads.\nKeep them short - up to 5 tweets. Each one should explain something, solve a problem, inspire, or at least make people smile.\n\nNext - engagement.\nDon’t just drop a post and disappear.\nReply to comments, join conversations, add your take under other people’s tweets, quote-tweet with context instead of a plain \"Nice!\"\n\nAnd if you can host Spaces at least once a week - do it. People connect more deeply when they hear your voice.\n\nThird - audience growth.\nIt’s not about following everyone. It’s about finding your tribe - the people who share your interests and values.\n\nSentient Chat suggested creating a small free resource - a checklist, cheat sheet, or mini-guide that would be genuinely useful to your followers. It’s a great way to offer value and build stronger connections.\n\nGiveaways, collaborations, \"tag a friend\" posts - those can work too, as long as they feel authentic, not desperate for numbers.\n\nAnd then - stay on top of trends.\nDon’t wait until the topic goes cold.\nIf something starts trending, you’ve got 15–30 minutes to jump in with your take - data, a prediction, or even a funny meme.\n\nIf a post gains traction - pin it. Let new visitors instantly see what you’re about.\n\nAnd if you have several tweets on the same theme, turn them into a Moment - it turns scattered thoughts into a story.\n\nFinally - analyze and improve.\nOnce a week, check what performed best and why.\nDouble down on what works. 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Back then it felt like an interesting idea: break a complex task into smaller pieces, solve them step by step, and put everything back together. With ROMA v0.2.0, this idea finally turned into something you can actually watch in action.\n\nSentient isn’t just a collection of agents. It’s a system where they learn to think together. Each one takes a part of a shared goal, works autonomously, but stays aligned with the overall intent. Before, everything happened one after another: one agent finished, the next one started. Now they work in parallel.\n\nWhen a request comes in, ROMA doesn’t tackle it head-on. It breaks the goal into subtasks, distributes them among agents, and runs them at the same time. Each agent focuses on its own piece, using only the context it needs. Once all are done, an aggregator combines the results into a single, coherent answer.\n\nTo see how it works, I tried it in Sentient Chat. I asked: \"Create an overview of how different countries are using AI in healthcare\". \nInstantly, ROMA split the request into parts - some agents searched for data, others analyzed regional initiatives, another started drafting the summary. Everything happened in parallel. A couple of minutes later I had a clean, structured report without duplicates or lost context.\n\nParallel execution sounds simple, but it’s one of the most powerful ideas behind ROMA. It speeds things up, avoids context overload, and makes agent collaboration feel almost alive. If one gets stuck, the others keep going. If one finds something useful, everyone else can immediately use it. It’s like a team where each member knows their part but still moves in sync.\n\nROMA also decides which models and tools to use for each subtask, so resources are spent wisely. The result isn’t just faster - it’s sharper and more consistent. For Sentient, this is a step toward real collective reasoning. Agents no longer just execute commands in sequence; they think together, in parallel, like members of a shared mind.\n\nThis kind of distributed reasoning feels very human - not linear, but dynamic, full of overlaps and spontaneous insights. That’s what makes ROMA v0.2.0 so exciting: it’s teaching Sentient to think less like a machine and more like a community.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[{"indices":[1067,1079],"text":"SentientAGI"}],"media":[{"display_url":"pic.x.com/Q8qZCZTMGn","expanded_url":"https://x.com/Ju1i_crypto/status/1987126268400152965/photo/1","id_str":"1987124272989384704","indices":[278,301],"media_key":"16_1987124272989384704","media_url_https":"https://pbs.twimg.com/tweet_video_thumb/G5Ou_4AWsAAxwsw.jpg","type":"animated_gif","url":"https://t.co/Q8qZCZTMGn","ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":388,"w":692,"resize":"fit"},"medium":{"h":388,"w":692,"resize":"fit"},"small":{"h":381,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":388,"width":692,"focus_rects":[]},"allow_download_status":{"allow_download":true},"video_info":{"aspect_ratio":[173,97],"variants":[{"bitrate":0,"content_type":"video/mp4","url":"https://video.twimg.com/tweet_video/G5Ou_4AWsAAxwsw.mp4"}]},"media_results":{"result":{"media_key":"16_1987124272989384704"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1754853230545133568","name":"Sentient","screen_name":"SentientAGI","indices":[72,84]},{"id_str":"1754853230545133568","name":"Sentient","screen_name":"SentientAGI","indices":[72,84]}]},"extended_entities":{"media":[{"display_url":"pic.x.com/Q8qZCZTMGn","expanded_url":"https://x.com/Ju1i_crypto/status/1987126268400152965/photo/1","id_str":"1987124272989384704","indices":[278,301],"media_key":"16_1987124272989384704","media_url_https":"https://pbs.twimg.com/tweet_video_thumb/G5Ou_4AWsAAxwsw.jpg","type":"animated_gif","url":"https://t.co/Q8qZCZTMGn","ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":388,"w":692,"resize":"fit"},"medium":{"h":388,"w":692,"resize":"fit"},"small":{"h":381,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":388,"width":692,"focus_rects":[]},"allow_download_status":{"allow_download":true},"video_info":{"aspect_ratio":[173,97],"variants":[{"bitrate":0,"content_type":"video/mp4","url":"https://video.twimg.com/tweet_video/G5Ou_4AWsAAxwsw.mp4"}]},"media_results":{"result":{"media_key":"16_1987124272989384704"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"quoted_status_id_str":"1986779773583114487","quoted_status_permalink":{"url":"https://t.co/IEcbd6Ha0S","expanded":"https://twitter.com/Defi0xJeff/status/1986779773583114487","display":"x.com/Defi0xJeff/sta…"},"retweeted":false,"fact_check":null,"id":"1987126268400152965","view_count":1137,"bookmark_count":0,"created_at":1762602796000,"favorite_count":75,"quote_count":0,"reply_count":47,"retweet_count":2,"user_id_str":"1480177210401210368","conversation_id_str":"1987126268400152965","full_text":"Right now, the crypto-AI space is more than just scattered experiments. @SentientAGI is helping move things forward. They’re not building a single giant AI - they’re creating a network where models, agents, and tools work together, and the community can actively contribute and benefit.\n\nSentient works around their OML idea - Open, Monetizable, Loyal. Models are open to everyone, creators can earn from their work, and the system stays loyal to the community that helped build it.\n\nThe system has two core parts:\n-> Blockchain infrastructure that handles ownership, transparency, and governance.\n-> Infrastructure for collaborative model development, where the community can help curate data and train models. This way, the AI reflects both practical goals and the values of the people contributing to it.\n\nSentient isn’t about making just another giant AI model. They’re building an ecosystem where creators, data, models, and users all participate. 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𝐛𝐢𝐠 𝐮𝐩𝐝𝐚𝐭𝐞𝐬 𝐟𝐫𝐨𝐦 𝐒𝐞𝐧𝐭𝐢𝐞𝐧𝐭 𝐲𝐨𝐮 𝐬𝐡𝐨𝐮𝐥𝐝𝐧’𝐭 𝐦𝐢𝐬𝐬\n\n@SentientAGI won AI Startup of the Year at the Minsky Awards - and it’s more than a shiny trophy. It’s recognition for real work that’s pushing the field forward.\nROMA Search is now leading the pack in multi-step reasoning with 81.7% accuracy on the FRAMES benchmark. On SEAL-0, ROMA hit 45.6%, more than doubling Gemini 2.5 Pro’s score.\nFull details and code are open on GitHub: https://t.co/kHgtymiRVV\n----------------------------------------------------------\nSentient keeps growing with its community. Getting into the Yapper Leaderboard @KaitoAI is now easier - the entry threshold has been lowered. Around 20 yaps should be enough to make the list, depending on your activity.\nThe mission stays the same: make open-source AI win, not something controlled by a single company. The Sentient Leaderboard is already live - see who’s driving the movement forward.\nhttps://t.co/SYuiABvzbr\n----------------------------------------------------------\nAnd finally, mark your calendars.\nOctober 13, 2025, at 15:00 UTC, join the Sentient Community Call on Discord with co-founder Himanshu Tyagi. 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If this zone is reclaimed, BTC may move to May highs, otherwise retest $104,000 to fill the CME gap. 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Not a closed corporate product, but something everyone can access and build with. The team isn’t just making the next chatbot - they’re working on systems that can reason, adapt, verify their own decisions, and improve over time.\n\nThe main experiments right now include ODS and ROMA.\nODS helps models dig deep, link information across sources - as if the AI is doing its own research. ROMA is about thinking and self-evolution: enabling agents to learn from mistakes, act more consciously, and coordinate with one another. These tools are already used for tasks like data analysis, coding, strategy and decision-making where you need more than routine responses.\n\nPart of the work even takes the shape of games and simulations. Projects like MindGames Arena or Werewolf (where AI interacts with humans and agents) are used as training grounds to teach the system social reasoning and strategy. It’s not just for fun - it’s labs for how thinking happens.\n\nThen there’s the security side. The team explores how to make autonomous systems reliable. They study how to defend against attacks, prove model authenticity, enable secure hardware computation, and apply what they call constitutional AI - models trained to act within clear ethical and logical bounds.\n\nGRID picks up where the research leaves off. It’s the ecosystem where developers, researchers, companies and investors meet to build the open-source AI future together. GRID isn’t a catalog or storefront - it’s a working environment where agents and tools are published, tested, improved, and joined into live systems. Everything Sentient builds - ROMA, ODS, etc. - feeds into GRID and becomes part of the shared infrastructure.\n\nThen we have Sentient Chat. Through it, you can interact with agents and tools built inside the GRID world. It’s a showcase, an invitation to try out how things hang together, watch agents cooperate, solve tasks, improve and evolve. It transforms abstract research into real-world feel.\n\nAll of this forms a coherent system. The lab does the research and builds the technology. GRID brings everyone together to use and expand it. Sentient Chat gives you a front-row seat. The result: intelligence that’s open, collective, accessible - not locked behind company walls, but part of what the community builds and uses.\n\nIf you strip away the tech-speak, the idea is even simpler: make AI human-friendly, transparent, and common to all. 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Even though it’s unpredictable, sometimes it’s worth asking AI for a second opinion.\n\nI asked Sentient Chat two things:\n1. What it thinks about the idea that BTC looks weak and that whales and ETFs are still selling.\n2. Whether on-chain data actually shows big holders dumping or quietly accumulating.\n\nThe answer was surprisingly solid.\n@SentientAGI pulled live data from CoinGecko, ETF flow reports, and on-chain metrics. Its take: the \"whales and ETFs are selling\" narrative doesn’t really hold up. ETFs are still bringing in around $600M a week, institutions are buying, RSI is neutral, and price keeps holding above $108K. In short - more balanced than bearish.\nOn the whale side, the chat said activity looks mixed. Some are accumulating near support, others are taking profits on small moves. 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You can really feel there’s actual movement here, not just an idea for hype. They’re building an open system where AI develops with the whole community. GRID connects hundreds of models and agents that work together to solve tasks, and ROMA helps the network handle more complex, multi-layered problems. It works like a living organism that grows on its own and gives people a real chance to participate.\n\n@KaitoAI is an interesting tool that helps make sense of the flood of Web3 and AI information. It simplifies search and understanding, but it doesn’t build intelligence itself.\n\n@billions_ntwk adds a layer of identity and reputation. The project verifies humans and AI agents using zero-knowledge proofs without mandatory biometrics, and it’s already an official partner of Sentient. 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Algorithms keep changing, people’s attention is scattered everywhere, and standing out takes work.\n\nSince I’m involved in ambassador programs, having a strong and active X profile really matters. I’ve been growing my X account for almost four years, but I only started seeing real results over the last few months.\n\nThere’s no secret formula.\nI just started spending more time on X - liking, commenting, engaging with others.\nRecently, I decided to ask @SentientAGI Chat for advice on how to grow my followers and reach.\n\nHere’s what it told me - and honestly, it makes a lot of sense.\n\nFirst, it’s not about quantity - it’s about meaning.\nQuality posts beat frequency every time.\n2-3 tweets a day are enough - but they need to be valuable: a piece of news, an opinion, a meme, or a short insight that makes people react - like, comment, or retweet.\n\nAnd always end with a question. People love to share their thoughts.\n\nIt also highlighted the power of threads.\nKeep them short - up to 5 tweets. Each one should explain something, solve a problem, inspire, or at least make people smile.\n\nNext - engagement.\nDon’t just drop a post and disappear.\nReply to comments, join conversations, add your take under other people’s tweets, quote-tweet with context instead of a plain \"Nice!\"\n\nAnd if you can host Spaces at least once a week - do it. People connect more deeply when they hear your voice.\n\nThird - audience growth.\nIt’s not about following everyone. It’s about finding your tribe - the people who share your interests and values.\n\nSentient Chat suggested creating a small free resource - a checklist, cheat sheet, or mini-guide that would be genuinely useful to your followers. 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Not a closed corporate product, but something everyone can access and build with. The team isn’t just making the next chatbot - they’re working on systems that can reason, adapt, verify their own decisions, and improve over time.\n\nThe main experiments right now include ODS and ROMA.\nODS helps models dig deep, link information across sources - as if the AI is doing its own research. ROMA is about thinking and self-evolution: enabling agents to learn from mistakes, act more consciously, and coordinate with one another. These tools are already used for tasks like data analysis, coding, strategy and decision-making where you need more than routine responses.\n\nPart of the work even takes the shape of games and simulations. Projects like MindGames Arena or Werewolf (where AI interacts with humans and agents) are used as training grounds to teach the system social reasoning and strategy. It’s not just for fun - it’s labs for how thinking happens.\n\nThen there’s the security side. 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Not a closed corporate product, but something everyone can access and build with. The team isn’t just making the next chatbot - they’re working on systems that can reason, adapt, verify their own decisions, and improve over time.\n\nThe main experiments right now include ODS and ROMA.\nODS helps models dig deep, link information across sources - as if the AI is doing its own research. ROMA is about thinking and self-evolution: enabling agents to learn from mistakes, act more consciously, and coordinate with one another. These tools are already used for tasks like data analysis, coding, strategy and decision-making where you need more than routine responses.\n\nPart of the work even takes the shape of games and simulations. Projects like MindGames Arena or Werewolf (where AI interacts with humans and agents) are used as training grounds to teach the system social reasoning and strategy. It’s not just for fun - it’s labs for how thinking happens.\n\nThen there’s the security side. 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Not a closed corporate product, but something everyone can access and build with. The team isn’t just making the next chatbot - they’re working on systems that can reason, adapt, verify their own decisions, and improve over time.\n\nThe main experiments right now include ODS and ROMA.\nODS helps models dig deep, link information across sources - as if the AI is doing its own research. ROMA is about thinking and self-evolution: enabling agents to learn from mistakes, act more consciously, and coordinate with one another. These tools are already used for tasks like data analysis, coding, strategy and decision-making where you need more than routine responses.\n\nPart of the work even takes the shape of games and simulations. Projects like MindGames Arena or Werewolf (where AI interacts with humans and agents) are used as training grounds to teach the system social reasoning and strategy. It’s not just for fun - it’s labs for how thinking happens.\n\nThen there’s the security side. 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Not a closed corporate product, but something everyone can access and build with. The team isn’t just making the next chatbot - they’re working on systems that can reason, adapt, verify their own decisions, and improve over time.\n\nThe main experiments right now include ODS and ROMA.\nODS helps models dig deep, link information across sources - as if the AI is doing its own research. ROMA is about thinking and self-evolution: enabling agents to learn from mistakes, act more consciously, and coordinate with one another. These tools are already used for tasks like data analysis, coding, strategy and decision-making where you need more than routine responses.\n\nPart of the work even takes the shape of games and simulations. Projects like MindGames Arena or Werewolf (where AI interacts with humans and agents) are used as training grounds to teach the system social reasoning and strategy. It’s not just for fun - it’s labs for how thinking happens.\n\nThen there’s the security side. 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He values accessibility, innovation, and collaborative community-building, viewing education as a universal right rather than a commodity.","facts":"Fun fact: Shan transitioned from running pubs in Hong Kong to becoming a crypto innovator by chance through a random conversation—a story that perfectly illustrates his adaptive nature and openness to serendipity.","strength":"Shan's greatest strength lies in his ability to combine deep industry knowledge with visionary thinking, building practical DeFi solutions that have tangible social impact. 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Talk about multi-tasking: running 10,000 dApps but still managing to reply to just 44 tweets... efficiency or selective fan club?","win":"Spearheading the launch of OpenCampus with over 900,000 IDs minted, 20+ live dApps, and an ecosystem fund surpassing $20M, Shan has significantly advanced decentralized education financing and catalyzed a thriving global developer community."},"created":1763182112846,"type":"the innovator","id":"hanshanhk"},{"user":{"id":"1880565477321445376","name":"Ayesha Tabassum","description":"Hustling in tech, daydreaming of travels. 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Always ahead of the curve, she injects inspiration into every conversation, keeping her audience curious and motivated.","purpose":"To inspire change and forward-thinking by sharing innovative ideas and deep dives into technology, business trends, and cultural shifts, empowering her audience to think beyond the present and maneuver confidently in a rapidly evolving world.","beliefs":"Ayesha values truth, curiosity, and the power of knowledge, believing that innovation and awareness are key to personal and professional growth. 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With a deep passion for math, machine learning, and blockchain, Shubhu crafts insightful, educational content aimed at demystifying complex concepts. Their tweets blend technical prowess with approachable explanations, making them a go-to for both peers and newcomers.","purpose":"To innovate and educate by building practical tools and sharing cutting-edge knowledge that empowers others to understand and engage with advanced technological concepts like calculus engines, machine learning, and Web3.","beliefs":"Shubhu believes in democratizing technology and knowledge, embracing decentralization and transparency, and the power of community-driven innovation. They value clarity in communication and are committed to making complex ideas accessible and relatable.","facts":"Fun fact: Shubhu developed a mathematics engine (v0) for differential calculus in C++ that not only calculates derivatives but also visualizes step-by-step differentiation with 2D graph comparisons, showing a knack for translating theory into interactive tech.","strength":"Exceptional technical skills combined with the ability to break down complicated subjects into digestible, engaging content; a natural educator and innovator who creates original tools and thoughtful commentary on advanced tech topics.","weakness":"While deeply knowledgeable, Shubhu’s communication might sometimes be overwhelmed by technical depth or niche focus, potentially limiting broader audience engagement. Also, with a following undefined and high following count, they might not yet have full control over their network growth and influence.","recommendation":"Focus on consistently weaving storytelling and relatable analogies into tweets to build a wider audience. Engaging more with followers through Q&A threads and behind-the-scenes looks at coding projects could amplify reach. Using hashtags strategically and spotlighting simpler beginner-friendly content alongside deep dives will diversify and grow their audience on X.","roast":"Shubhu tweets so many deep tech threads they could probably give a TED talk on why normal people don't tweet back—maybe it’s not that they don’t care, just that their brains short-circuit at 'differential calculus engine in C++'.","win":"Successfully launched and presented a comprehensive differential calculus engine that visualizes step-by-step calculations, marking a standout achievement in combining education with hands-on software innovation."},"created":1763180974435,"type":"the innovator","id":"positronx_"},{"user":{"id":"2589570307","name":"Ben","description":"Chief AI Officer @mightybeargames & @playgoatgaming • 🇫🇷 in 🇸🇬 • Innovating AI tools & leading creative teams • Connect for AI insights & collaboration.","followers_count":17341,"friends_count":5323,"statuses_count":4080,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1823367500400304129/1Ak9V_Fb_normal.jpg","screen_name":"cocolitron","location":"mixture-of-locations","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"goatgaming.com","expanded_url":"http://www.goatgaming.com","url":"https://t.co/nY2dmQ9bHL","indices":[0,23]}]}}},"details":{"type":"The Innovator","description":"Ben is a trailblazing AI visionary and creative force in the gaming industry, seamlessly blending cutting-edge technology with inventive leadership. 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Ben trusts that embracing emergent tech leads to groundbreaking experiences and that sharing knowledge multiplies its impact.","facts":"Ben’s enthusiasm for 'vibe coding'—creating games using AI IDEs by non-experts—is a testament to his belief in accessible creativity. He leverages JSON-driven AI pipelines to rapidly adapt and update game elements, showcasing his knack for integrating flexible AI tools into production.","strength":"Ben excels at synthesizing complex AI capabilities into practical, creative applications with his innovative mindset. His leadership unites technical teams and creative minds alike, forging dynamic collaborations that push boundaries. His prolific tweeting demonstrates his commitment to sharing knowledge and engaging communities.","weakness":"With such a high volume of tweets and broad interests, Ben might risk diluting his core messaging or overwhelming his audience. 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He aims to simplify complex blockchain infrastructures while enabling innovation that benefits both expert users and tech newcomers.","beliefs":"He believes in the power of solid architecture over short-term speed gains, the importance of deliberate, clear coding rather than blind automation, and that technology should empower users thoughtfully without compromising long-term sustainability. Continuous learning and iteration are key pillars in his development philosophy.","facts":"Fun fact: Michael once had to untangle a mess of duplicated code left by an AI assistant named Claude, proving that AI isn’t always the coding savior it’s hyped up to be!","strength":"Michael’s keen analytical mindset helps him foresee scalability issues before they become problems. His expertise in blockchain and backend security, combined with a practical understanding of trade-offs in architecture, makes him a reliable innovator.","weakness":"His perfectionist streak and skeptical view on quick, automated fixes might slow down rapid experimentation or limit early-stage pivoting. Sometimes, an obsession with clean code can come at the cost of agility or broader audience engagement.","recommendation":"To grow his audience on X, Michael should leverage his expertise by sharing bite-sized technical tips, problem-solving threads, and behind-the-scenes stories that highlight blockchain and backend development nuances. Engaging with emerging developer communities and using hashtags like #buildinpublic and #blockchainDev will amplify his reach.","roast":"Michael, you’re the guy who’d spend three hours refactoring a two-line script because 'solid architecture' is your religion—meanwhile, your followers are left wondering if you ever tweet anything just for fun or if it’s always ‘Code review: Chapter 57.’","win":"Michael’s biggest win so far is creating an elegant wallet management approach for in-game currency that balances usability for both crypto veterans and casual users, showcasing his ability to combine technical depth with user-friendly solutions."},"created":1763180396887,"type":"the innovator","id":"michyaraque"},{"user":{"id":"1570409333313134595","name":"Dr. Andrew Dilanchian","description":"Building the first API for your brain @ https://t.co/zSH20L8RPU | Cognitive Science Ph.D | Full-stack Dev | XR Enthusiast | Lvl. 11 Tiefling Cleric","followers_count":104,"friends_count":80,"statuses_count":888,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1882815042602577920/wYWPEYzG_normal.jpg","screen_name":"AndyDilanchi","location":"Tallahassee, FL","entities":{"description":{"urls":[{"display_url":"Cogmi.co","expanded_url":"http://Cogmi.co","url":"https://t.co/zSH20L8RPU","indices":[40,63]}]},"url":{"urls":[{"display_url":"scholar.google.com/citations?user…","expanded_url":"https://scholar.google.com/citations?user=gGJPXOEAAAAJ&hl=en&authuser=1","url":"https://t.co/mQpYt9C84W","indices":[0,23]}]}}},"details":{"type":"The Innovator","description":"Dr. Andrew Dilanchian is a cognitive science Ph.D. and full-stack developer who’s on a mission to revolutionize how we interact with our own minds, building what he calls the first API for the brain. His tweets blend tech savvy, personal storytelling, and thought-provoking insights with a quirky sense of humor—think tiefling cleric meets XR enthusiast. Always pushing boundaries, he thrives where neuroscience meets startup hustle.","purpose":"To transform the way humans understand and optimize their cognitive functions by merging cutting-edge technology with deep scientific knowledge, ultimately creating tools to enhance everyday mental performance and productivity.","beliefs":"Andrew believes in the power of data-driven self-awareness and personalized solutions for human improvement. He values innovation grounded in science and embraces failure and feedback as essential parts of growth. He sees technology not just as code, but as an enabler for human potential and connection.","facts":"Fun fact: Andrew is a level 11 Tiefling Cleric in role-playing games, blending a passion for fantasy and storytelling with his tech genius—talk about bridging worlds!","strength":"His unique combination of deep cognitive science expertise paired with full-stack development skills allows him to create truly innovative products backed by real science, rather than just hype. Plus, his storytelling ability makes complex topics relatable and engaging.","weakness":"With such a strong focus on the product and innovation, he can sometimes tunnel vision on details and lose sight of broader business strategy or audience engagement nuances, as he himself acknowledges about his startup journey.","roast":"Andrew’s tweets have all the charm of a mad scientist experimenting in a basement, except instead of explosions, you get peanut butter and onion sandwich recipes—bold, if not exactly crowd-pleasers. But hey, it’s all part of the charm that keeps followers guessing if they’re getting a tech breakthrough or a snack idea!","win":"Successfully launching Cogmi, a live chatbot that personalizes daily scheduling based on cognitive data—a tangible proof of concept merging neuroscience and software to impact real lives.","recommendation":"To grow his audience on X, Andrew should lean into storytelling with even more consistency—sharing behind-the-scenes dev stories, user successes, and candid lessons learned. Also, engaging with popular cognitive science and startup communities through replies and threads will amplify his reach and establish his voice as a go-to innovator."},"created":1763180245055,"type":"the innovator","id":"andydilanchi"},{"user":{"id":"1120638103306117120","name":"Ryo","description":"设计师/前端/后端/游戏 Blender Unity UE/日语/算命八字紫微/AI时代下的独立开发者/上线过很多APP/群演 (看八字看紫微,预测财富事业/感情婚姻/考试/合婚/生育/晋升等,一位 50 元,好评如潮,经验丰富,付费咨询私信加v)","followers_count":6566,"friends_count":832,"statuses_count":12215,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1820993730393870336/8OvYVwXr_normal.jpg","screen_name":"siantgirl","location":"","entities":{"description":{"urls":[]}}},"details":{"type":"The Innovator","description":"Ryo is a multifaceted digital craftsman seamlessly blending design, frontend and backend development, and game creation using Blender, Unity, and UE. This independent developer thrives in the AI era while tapping into ancient wisdom with skills in Japanese and fortune telling through Bazi and Ziwei astrology. Known for launching numerous apps and offering sought-after personal consulting, Ryo's tweets bridge the tech-savvy with the mystical in a uniquely engaging way.","purpose":"To pioneer innovative tech experiences while guiding others through life's uncertainties with ancient astrological insights, empowering both digital communities and individuals to navigate wealth, relationships, and destiny.","beliefs":"Ryo values a harmonious blend of tradition and cutting-edge innovation, believing that true progress comes from respecting ancient wisdom while embracing modern technology. They uphold authenticity, continual learning, and the power of meaningful personal connections as cornerstones of success.","facts":"Ryo combines the artistry of game design with the science of backend development and the mystique of fortune telling—offering paid personal consultations for just 50 yuan that enjoy rave reviews!","strength":"Mastery across multiple disciplines allows Ryo to innovate with agility and depth, while a significant social media presence shows they know how to engage and captivate an audience. Their unique niche blending tech and astrology sets them apart from typical developers.","weakness":"Sometimes juggling so many hats—from coding to consulting to astrology—might lead to scattered focus or overwhelm, possibly limiting the depth they can provide in each area. The unconventional mix may also confuse some followers unfamiliar with either tech or metaphysics.","roast":"Ryo’s brilliance is like their Twitter timeline—so packed and eclectic that half the time you wonder if you’re following a wizard casting spells or a coder debugging reality. Just don’t ask them to explain it all in one tweet, or you’ll need AI to decode it.","win":"Successfully launched numerous apps across different platforms and built a loyal following that values their blend of technical skill and mystical guidance—a rare feat that bridges two very different worlds.","recommendation":"To grow their audience on X, Ryo should weave short, digestible threads that marry core tech insights with bite-sized fortune telling tips, using relevant hashtags and engaging visuals. Interactive polls about astrology or AI predictions would further boost engagement, inviting followers to participate in their unique niche."},"created":1763180096611,"type":"the innovator","id":"siantgirl"},{"user":{"id":"1821393366652973056","name":"Martin_DeVido","description":"","followers_count":1731,"friends_count":970,"statuses_count":2766,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1983211550673686528/K7Bd5khy_normal.jpg","screen_name":"d33v33d0","location":"","entities":{"description":{"urls":[]}}},"details":{"type":"The Innovator","description":"Martin_DeVido is a tech-savvy pioneer who embraces AI and creative technology with open arms, constantly pushing boundaries with inventive projects like AI-driven pen plotter portraits. With a flair for blending human and machine artistry, Martin engages his audience through unique and futuristic content. His enthusiasm is palpable, inviting followers to join him on an exploratory journey into the future of creativity.","purpose":"To bridge the gap between cutting-edge AI technology and artistic expression, inspiring innovation by demonstrating the creative potential of human-machine collaboration.","beliefs":"Martin believes in the transformative power of technology and innovation to redefine art and identity. He values creativity, experimentation, and community engagement, trusting that technology can unlock new forms of self-expression and belonging.","facts":"Martin once said, 'I never felt like I belonged to this era until AI came around,' showing his deep connection and passion for emergent tech trends.","strength":"His ability to combine technical expertise with creative vision sets him apart, making complex AI concepts accessible and engaging. He creates a niche that marries art and technology and builds genuine excitement around his projects.","weakness":"Martin’s intense focus on niche innovations may sometimes alienate broader audiences who aren’t yet familiar or comfortable with AI art experiments. He may also overextend himself, as seen by his rapid expansion of projects with multiple plotters.","roast":"Martin’s likely the kind of person who talks to his AI plotters more than his own friends — at least the plotters actually draw back! When the robots are your best art buddies, you know you’ve really blurred the line between genius and slightly tech-obsessed.","win":"Achieving viral engagement with over 260,000 views on his AI pen plotter projects and successfully fulfilling an unexpected surge in orders, prompting him to order additional plotters to keep up with demand.","recommendation":"To grow his audience on X, Martin should leverage more behind-the-scenes content revealing the quirky AI personalities and creative process behind his portraits, paired with engaging storytelling. Using targeted hashtags and joining AI and art communities will help expand his reach beyond early adopters."},"created":1763179884162,"type":"the innovator","id":"d33v33d0"},{"user":{"id":"1740439874623492096","name":"Kimia Nora","description":"Applied Neuroscience | Self-Directed Neuroplasticity | Root Cause healing for chronic pain + other symptoms | Join the revolution ↓","followers_count":39500,"friends_count":669,"statuses_count":11554,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1761919201869279232/qv9KTMyC_normal.jpg","screen_name":"iamkimianora","location":"Malibu","entities":{"url":{"urls":[{"url":"https://t.co/duHpWrzFgY","expanded_url":"https://newsletter.kimianora.com/","display_url":"newsletter.kimianora.com","indices":[0,23]}]},"description":{"urls":[]}}},"details":{"type":"The Innovator","description":"Kimia Nora is a trailblazer in applied neuroscience and self-directed neuroplasticity, passionately sharing groundbreaking insights to empower chronic pain sufferers and seekers of holistic healing. Through a blend of science and spirituality, Kimia ignites a revolution in health and wellness with a compelling message of self-healing and transformation. Her prolific tweeting cultivates a vibrant community hungry for alternative wellness solutions and mind-body mastery.","purpose":"To revolutionize the understanding and practice of healing by championing the power of the mind and neuroplasticity, helping others reclaim their health by addressing root causes rather than symptoms. Kimia’s mission is to democratize cutting-edge neuroscience and spiritual wisdom, making self-directed healing accessible and actionable for everyone.","beliefs":"Kimia believes in the transformative potential of neuroplasticity, the profound influence of mindset on physical health, and the convergence of quantum physics with healing. She values scientific rigor paired with experiential wisdom, holding that true healing comes from empowering individuals to take charge of their own wellness journey.","facts":"Kimia spent over $20,000 learning from Dr. Joe Dispenza, one of the world's most sought-after speakers on mind-body healing. She has tweeted more than 11,000 times, showing a relentless commitment to spreading her message of self-healing and neuroscience-based transformation.","strength":"Her unparalleled dedication to education and content creation establishes deep trust and authority in her niche, while her ability to fuse complex neuroscience with spiritual practices makes her messages resonate widely. Kimia's authenticity and personal investment in her journey inspire profound engagement and loyalty.","weakness":"Her intense focus on scientific and spiritual revolution can sometimes come off as overwhelming or niche for a broader audience, potentially limiting immediate mass appeal. Also, with a very high tweeting frequency, there's a risk of diluted impact if every post doesn't maintain top-tier value.","recommendation":"To grow her audience on X, Kimia should amplify her storytelling by sharing more personal, relatable transformations and quick daily tips that invite interaction. 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If this zone is reclaimed, BTC may move to May highs, otherwise retest $104,000 to fill the CME gap. 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Not a closed corporate product, but something everyone can access and build with. The team isn’t just making the next chatbot - they’re working on systems that can reason, adapt, verify their own decisions, and improve over time.\n\nThe main experiments right now include ODS and ROMA.\nODS helps models dig deep, link information across sources - as if the AI is doing its own research. ROMA is about thinking and self-evolution: enabling agents to learn from mistakes, act more consciously, and coordinate with one another. These tools are already used for tasks like data analysis, coding, strategy and decision-making where you need more than routine responses.\n\nPart of the work even takes the shape of games and simulations. Projects like MindGames Arena or Werewolf (where AI interacts with humans and agents) are used as training grounds to teach the system social reasoning and strategy. It’s not just for fun - it’s labs for how thinking happens.\n\nThen there’s the security side. The team explores how to make autonomous systems reliable. They study how to defend against attacks, prove model authenticity, enable secure hardware computation, and apply what they call constitutional AI - models trained to act within clear ethical and logical bounds.\n\nGRID picks up where the research leaves off. It’s the ecosystem where developers, researchers, companies and investors meet to build the open-source AI future together. GRID isn’t a catalog or storefront - it’s a working environment where agents and tools are published, tested, improved, and joined into live systems. Everything Sentient builds - ROMA, ODS, etc. - feeds into GRID and becomes part of the shared infrastructure.\n\nThen we have Sentient Chat. Through it, you can interact with agents and tools built inside the GRID world. It’s a showcase, an invitation to try out how things hang together, watch agents cooperate, solve tasks, improve and evolve. It transforms abstract research into real-world feel.\n\nAll of this forms a coherent system. The lab does the research and builds the technology. GRID brings everyone together to use and expand it. Sentient Chat gives you a front-row seat. The result: intelligence that’s open, collective, accessible - not locked behind company walls, but part of what the community builds and uses.\n\nIf you strip away the tech-speak, the idea is even simpler: make AI human-friendly, transparent, and common to all. 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Even though it’s unpredictable, sometimes it’s worth asking AI for a second opinion.\n\nI asked Sentient Chat two things:\n1. What it thinks about the idea that BTC looks weak and that whales and ETFs are still selling.\n2. Whether on-chain data actually shows big holders dumping or quietly accumulating.\n\nThe answer was surprisingly solid.\n@SentientAGI pulled live data from CoinGecko, ETF flow reports, and on-chain metrics. Its take: the \"whales and ETFs are selling\" narrative doesn’t really hold up. ETFs are still bringing in around $600M a week, institutions are buying, RSI is neutral, and price keeps holding above $108K. In short - more balanced than bearish.\nOn the whale side, the chat said activity looks mixed. Some are accumulating near support, others are taking profits on small moves. 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You can really feel there’s actual movement here, not just an idea for hype. They’re building an open system where AI develops with the whole community. GRID connects hundreds of models and agents that work together to solve tasks, and ROMA helps the network handle more complex, multi-layered problems. It works like a living organism that grows on its own and gives people a real chance to participate.\n\n@KaitoAI is an interesting tool that helps make sense of the flood of Web3 and AI information. It simplifies search and understanding, but it doesn’t build intelligence itself.\n\n@billions_ntwk adds a layer of identity and reputation. The project verifies humans and AI agents using zero-knowledge proofs without mandatory biometrics, and it’s already an official partner of Sentient. 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Algorithms keep changing, people’s attention is scattered everywhere, and standing out takes work.\n\nSince I’m involved in ambassador programs, having a strong and active X profile really matters. I’ve been growing my X account for almost four years, but I only started seeing real results over the last few months.\n\nThere’s no secret formula.\nI just started spending more time on X - liking, commenting, engaging with others.\nRecently, I decided to ask @SentientAGI Chat for advice on how to grow my followers and reach.\n\nHere’s what it told me - and honestly, it makes a lot of sense.\n\nFirst, it’s not about quantity - it’s about meaning.\nQuality posts beat frequency every time.\n2-3 tweets a day are enough - but they need to be valuable: a piece of news, an opinion, a meme, or a short insight that makes people react - like, comment, or retweet.\n\nAnd always end with a question. People love to share their thoughts.\n\nIt also highlighted the power of threads.\nKeep them short - up to 5 tweets. Each one should explain something, solve a problem, inspire, or at least make people smile.\n\nNext - engagement.\nDon’t just drop a post and disappear.\nReply to comments, join conversations, add your take under other people’s tweets, quote-tweet with context instead of a plain \"Nice!\"\n\nAnd if you can host Spaces at least once a week - do it. People connect more deeply when they hear your voice.\n\nThird - audience growth.\nIt’s not about following everyone. It’s about finding your tribe - the people who share your interests and values.\n\nSentient Chat suggested creating a small free resource - a checklist, cheat sheet, or mini-guide that would be genuinely useful to your followers. 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Not a closed corporate product, but something everyone can access and build with. The team isn’t just making the next chatbot - they’re working on systems that can reason, adapt, verify their own decisions, and improve over time.\n\nThe main experiments right now include ODS and ROMA.\nODS helps models dig deep, link information across sources - as if the AI is doing its own research. ROMA is about thinking and self-evolution: enabling agents to learn from mistakes, act more consciously, and coordinate with one another. These tools are already used for tasks like data analysis, coding, strategy and decision-making where you need more than routine responses.\n\nPart of the work even takes the shape of games and simulations. Projects like MindGames Arena or Werewolf (where AI interacts with humans and agents) are used as training grounds to teach the system social reasoning and strategy. It’s not just for fun - it’s labs for how thinking happens.\n\nThen there’s the security side. 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Not a closed corporate product, but something everyone can access and build with. The team isn’t just making the next chatbot - they’re working on systems that can reason, adapt, verify their own decisions, and improve over time.\n\nThe main experiments right now include ODS and ROMA.\nODS helps models dig deep, link information across sources - as if the AI is doing its own research. ROMA is about thinking and self-evolution: enabling agents to learn from mistakes, act more consciously, and coordinate with one another. These tools are already used for tasks like data analysis, coding, strategy and decision-making where you need more than routine responses.\n\nPart of the work even takes the shape of games and simulations. Projects like MindGames Arena or Werewolf (where AI interacts with humans and agents) are used as training grounds to teach the system social reasoning and strategy. It’s not just for fun - it’s labs for how thinking happens.\n\nThen there’s the security side. 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Not a closed corporate product, but something everyone can access and build with. The team isn’t just making the next chatbot - they’re working on systems that can reason, adapt, verify their own decisions, and improve over time.\n\nThe main experiments right now include ODS and ROMA.\nODS helps models dig deep, link information across sources - as if the AI is doing its own research. ROMA is about thinking and self-evolution: enabling agents to learn from mistakes, act more consciously, and coordinate with one another. These tools are already used for tasks like data analysis, coding, strategy and decision-making where you need more than routine responses.\n\nPart of the work even takes the shape of games and simulations. Projects like MindGames Arena or Werewolf (where AI interacts with humans and agents) are used as training grounds to teach the system social reasoning and strategy. It’s not just for fun - it’s labs for how thinking happens.\n\nThen there’s the security side. 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Not a closed corporate product, but something everyone can access and build with. The team isn’t just making the next chatbot - they’re working on systems that can reason, adapt, verify their own decisions, and improve over time.\n\nThe main experiments right now include ODS and ROMA.\nODS helps models dig deep, link information across sources - as if the AI is doing its own research. ROMA is about thinking and self-evolution: enabling agents to learn from mistakes, act more consciously, and coordinate with one another. These tools are already used for tasks like data analysis, coding, strategy and decision-making where you need more than routine responses.\n\nPart of the work even takes the shape of games and simulations. Projects like MindGames Arena or Werewolf (where AI interacts with humans and agents) are used as training grounds to teach the system social reasoning and strategy. It’s not just for fun - it’s labs for how thinking happens.\n\nThen there’s the security side. 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