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After exploring various options, I focused on Sentient's AI + Governance model. Roma promotes community discussions → structures them into on-chain actions, rotates multi-signature councils, high-reputation members, and ZK voting to balance privacy and fairness @SentientAGI OML fingerprints protect model ownership, with penalties for violations, $SENT plans to return revenue to GRID contributors, forming an ownership economy. Chancery benchmarks make full use of corporate governance theory, expose flaws in multi-hop and overlapping terms, open source peer review drives innovation. Architecture and Progress: TEE (AWS Nitro Enclaves) ensures training/validation, has handled over 500 million agent calls, $85 million in funding, over 700,000 coins owned on testnet. My Assessment: With governance able to understand intent and ownership verifiable, open source AGI will move towards trusted collaboration and sustainability incentives, next, keep an eye on NeurIPS paper and mainnet progress, opportunities may be coming.

Dive into @SentientAGI's Decentralized Vision and how Sentient is changing AGI development. 🔹Sentient aims to create a decentralized AGI ecosystem where control and development is not held by a single organization but distributed across a global community. 🔹If Sentient succeeds, they could reshape the AGI industry, turning it into a global collaboration rather than a race between giants like OpenAI. > Can Sentient surpass OpenAI in building decentralized AGI? 🧵Here's a look at how this vision could change the way we develop AGI.👇 @shad_haq_ @vivekkolli @LeaderX_btc

GN CT I am happy that I have achieved my goal of being in the 3M rankings and have reached the top 86 3M Yapper @SentientAGI. With the current context, Sentient AI is open source and owned by the community. - If you are a developer looking for open source, then open source GRID will be the best place to build for you. - If you want to find in-depth data about a certain Token or daily news, then Sentient Chat will be the place to find the latest news and best data about Crypto. - With over 100 partners and over 50 data sources from GRID, you will be surprised when experiencing Sentient for data searching. gSenti

GN CT gSenti fam Continue Towards the Top 3M Sentient Community Yapper I am at the crossroads between Web3 and AI, experimenting with new things. I recently chatted with @SentientAGI on GRID, asking when the TGE will happen. The system replied: The date is not yet officially announced, stay tuned for official updates. Okay, let's skip the token and look at the product. They are building a collaborative, multi-agent ROMA ecosystem, OML fingerprints, verifiable computation, connecting models, data and execution, allowing the community to train, curate and share the profits together. The recent collaboration between alphaXiv and UnifAI seems to be paving the way for research and deployment. This path is slower but more stable, especially for open AGI. Activities you can participate in: Yapper points, Galxe tasks and GRID testnet are all underway, with rewards for good content, TGE is yet to be decided, but contributions will be recognized. We'll see who really comes out on top when governance is on-chain and tokens are released. My suggestion: Run a small proxy first and get familiar with the ROMA/GRID process before considering a position in #OpenAGI.

A friend told me: Check out @SentientAGI and @askalphaxiv, they've really brought research to life! 🔥I clicked on it and it's really interesting: Open research has broken free from piles of papers and is now truly running. -Knowledge long locked away in paywalls and institutions has been given a new lease on life. -Sentient provides the open-source foundation. -AlphaXiv provides the interactive platform. It achieves: Papers are code. Data is readily available. Experiments are reproducible and can be rebuilt. The sense of openness is off the charts. 🔥What exactly can open research do? It lets you: Load datasets with one click, share experimental environments, visualize and compare results, and run long tasks collaboratively using agents. What used to be a bottleneck in the entire process is now incredibly smooth. I tried sending out an idea, and the next day someone on the other end was running experiments, adding data, and providing improvement suggestions. The pace is accelerated, and feedback becomes concrete, verifiable, and accumulative. 🔥Research is no longer posted and done, but a closed loop of posting → calling → verifying → rebuilding. The community can see and feel it, contributions and impacts are recorded and sustained. Want OpenSourceAI to win? See how @SentientAGI x askalphaxiv brought open research to the Web3 arena.

A friend asked me, What have you been up to lately? You look like you're in a dungeon. I laughed, This time the main focus is Sentient, dual-tracking the yap leaderboard and testnet. @SentientAGI has been buzzing with news these past few days: some say November 15th is the month's settlement date, some are betting the airdrop snapshot will wait until the last minute before Q1 TGE, and the group chat is a cacophony of captured/uncaptured" rumors. I'm sticking to my own pace: piling up Yaps every day, running in the GRID, and casually going through ROMA and SPIN-Bench, making a list of hints and scripts, and submitting issues directly when I encounter bugs. Anyway, this OML fingerprint + open-source contract approach emphasizes verifiable ownership and backtracking training history. Intelligence needs to be smart, but even more importantly, it needs to be verifiable. avoiding shortcuts, even if it's slower, is worthwhile. Next, I'm keeping an eye on three things: the OML 2.0 vote, the Devcon Open AGI summit, and Q1 $SENT/TGE. Don't guess at snapshots. All you can do is document every commit and every baseline. The earlier you work, the higher your chances of being seen. gSenti #OpenAGI

Good Morning Everyone ☕️ gSenti Fam Wishing everyone an energetic Saturday, and let's do morning exercises to have good health and work better. I was sipping my morning coffee and scrolling through Twitter, watching @SentientAGI's Speedrun clip, and following their latest developments with UnifaiNetwork and askalphaxiv. I was amazed: they are turning open source AGI into a business with a certificate of authenticity - the kind that can withstand audits and share revenue with the community. The OML fingerprint is like stamping the model with 24,576 unique stamps that cannot be erased even with minor adjustments, the traces on the chain clearly show who trained it, who called it, and who contributed. It's like giving each athlete a jersey with a number, allowing for frame-by-frame replay analysis after the game. A single prompt on the front triggers ROMA + GRID on the back, mobilizing over 40 agents to collaborate in parallel: reading on-chain data, profiling wallets, backtesting policies, and deploying UnifAI execution, with TEE/ZK providing full assurance. It feels like a distributed quant team, each member fulfilling their role but still working in unison. The community is also working at full capacity: Kaito releases a weekly Yapper leaderboard and research papers are being submitted to NeurIPS. Don't rush TGE, get the website done first, and only talk about finishing after the framework is fully built.

Only under pressure can we have the motivation to rise up. Espresso the shared sequencing layer that coordinates multiple rollups for fast finality and real-time sync @EspressoSys provides confirmations (~5.2s avg) and modular data availability for Ethereum (rollups). Cross-rollup UX targets subsecond pathways $ESP can be staked on the network (PoS) to secure validators, rewards may accrue via restaking integrations. APY may vary. Performance targets are not guaranteed. @espressoFNDN ----- I guess building in public without TGE teasers might actually be the strongest flex from @SentientAGI Dubai panels, East Asia tour, ROMA v0.2, OML fingerprints, and the alphaXiv collab keeping research open Loyal AI, agents that pay creators, community governance on the horizon watch the grind, not the hype; testnet up next, global hackathons loading.

The self-custodied crypto new bank they've been touting is about to pass its first test. Sale begins on November 3rd. The community round is hosted by NozomiNetwork × legiondotcc, with $TRIA participating. @useTria's ACM event will simultaneously unlock investment multipliers, up to 5x cSNAPS bonus. Top 25 cSnappers receive a guaranteed $1000, Top 25 Snappers receive a guaranteed $500. A unified snapshot will be taken on October 31st at 2 PM UTC, and the list will be settled according to the real-time leaderboard. Creators, traders, and cardholders can all participate in this round, do your homework before the snapshot. Why pay attention to this community round? Visa card coverage in 150+ countries, BestPath AI routing, and zkKYC privacy compliance combine spending, exchanging, and earning into a single self-managed account. Behind this is @SentientAGI's open-source AGI narrative, with agent card spending, on-chain settlement, and profit rebates all aligned on the same logical line. Tip: The Cookie prize pool is currently running at $650,000, and it's also on the @MindoAI leaderboard. Combined with exposure and points, rewards are released according to rules after TGE. Those who are ahead in the game have more initiative.

Collective Intelligence => Single Brain Recently, I've been looking at @SentientAGI's GRID, which looks more like a living intelligent supply chain: • 50+ dedicated agents • 50+ data sources • 6 models • 10+ compute providers ROMA handles routing and decomposition, making long, multi-step, multi-source tasks composable and verifiable, ultimately delivering consistent answers. Product: Open Deep Search, Dobby Models, Fingerprinting, Enclaves, and Sentient Chat work together synchronously. Elsa converts intent into on-chain operations, enabling bridges, swaps, and staking with a single instruction. OML integrates openness and monetization into a single primitive, offering traceability, policy, and pay-per-use. Coupled with the NeurIPS paper, the Minsky AI Startup of the Year Award, and ROMA's GitHub launch, the community's speed is evident. If data, computing power, and agents are truly integrated, the chances of open source AGI winning will increase, and the foundation of the intelligent economy is taking shape. #AGI gSenti

That evening, I saw a presentation on my WeChat Moments: Open AGI Economy - London Business School. The accompanying image showed Sandeep presenting on open source and ownership. He frowned: closed source APIs had stalled his project three times, his bills skyrocketed, and he couldn't even take his user data with him. He asked a friend who was working on crypto AI. Is this possible? Try ROMA + OML. Use fingerprints to verify ownership of the model and run a small proxy on GRID. Loyalty is trained by Dobby, and rewards and authorship are recorded on-chain. They don't look at your data, they just recognize your signature. He followed the instructions. A multi-step research proxy was created, crawling on-chain data and writing intelligence reports. The first task was passed to him, and he saw that ownership was verified, revenue sharing was successfully resolved, and there were no platform locks or API rate limits. The next day, he reviewed the presentation slides: the LBS platform illustrated a broad audience, while the @SentientAGI presentation was like a path: open, verifiable, distributed, and co-governed. For developers, the meaning was simple: creations with clear ownership and transferable value. In short, let openness become a form of measurable trust, and let intelligence participate in the economy transparently. #OpenAGI

GM CT☀️ I looked at the @SentientAGI roadmap and noticed they have integrated “evaluation-framework-governance-economics” as a core strategy. Here are the Key Focuses: 1⃣LiveCodeBench Pro was selected for NeurIPS, end-to-end algorithmic inference evaluation and real-world performance demonstration under resource constraints and blinded adversarial testing. 2⃣The ROMA recursive multi-agent architecture breaks down complex tasks into execution-evaluation tasks, enabling verifiable collaboration. 3⃣The three elements of Loyal AI: ownership, control, alignment, combined with fingerprint protection and OML code, targeting 8 billion users. 4⃣Payments Pro is powered by $SENT: user payments, agent payments, and value-based models. 5⃣Focus: Closed loop on-chain model → usage monitoring → revenue sharing → community expansion. 6⃣Why now: InfoFi is gaining momentum, and open-source models require verifiable provenance and sustainable incentives. $SENT will become the fuel for settlement and access. With standardized evaluation, configurable actors, and verifiable ownership, GRID can become an open intelligence layer and truly turn open source AGI into a sustainable economy.

After 2 months of trying, I was lucky enough to be in the Top 81 7D Winder Community @SentientAGI Yapper. I used @gomtu_xyz's tool to check everything about Kaito. This is my first achievement. Thanks to the Sentient community and those who supported me, without everyone I could not have achieved this. I still continue to contribute every day. Thank you all so much. Bullish Sentient

Don't be sad if you don't have Monad rewards or ignore it. I have researched and found 2 projects that can be good rewards in this Q4 you should focus on it. @SentientAGI Decentralized Artificial General Intelligence (AGI) Open Source AI Technology - Raised 85 million dollars @zama_fhe Fully Homomorphic Encryption (FHE) - Raised 130 million dollars They are 2 projects with breakthrough technology in other similar products. Let's learn about these 2 breakthrough projects. ---------- Catch up with the professional open source AGI race @SentientAGI is building the community intelligence network, GRID: a four-layer architecture for storage, distribution, access, and incentives. Training and validation are done on TEE (AWS Nitro), completely separating the chain from the compute power for parallel scalability. OML nodes handle model transformation and verification, with over 24,000 fingerprints proving ownership. External retraining holds back about 70% of the system, and violations will result in slashing. Data with 500M+ agent invocations, 700,000 + testnet stakes, $85M pre-mainnet funding. The SENT Economy and Royalties will be returned to model/agent authors, with DAO governance. The more you contribute, the more you earn. Comment Once the ownership of the open source model is verified, the weights can be made public and the ecosystem can reuse them. The supply curve will explode. This is the next development point of open AGI. ---------- Continuing on the privacy front, I bet on FHE. zama_fhe @zama_fhe technology - fhEVM native euint, security contracts written in Solidity - Publicly recomputable outputs + 13-node MPC + AWS Nitro - Trail of Bits/Zenith 34-week audit, 128-bit privacy, quantum-resistant Performance GPU Acceleration implemented, HPU FPGA 2025 for increased TPS. Secure DeFi applications with MEV resistance, private governance, compliant RWA, and leak-proof AI training. Token ZAMA Expected TGE November 2025, fuel for privacy is scarce. Philosophical quote: Trust computation without data review, redefining "trust" #ZamaCreatorProgram

The OML Open Source AGI Platform A breakthrough for the next decade of intelligence. The Linux moment of open source AI is coming. I am focusing on @SentientAGI 👉The vision of connecting every agent, model, and data into a collective brain for continuous learning and development. 👉The ROMA framework, a recursive open super-agent, handles inference and collaboration. GRID uses performance and utility for routing, with larger contributions leading to higher throughput. 👉Governance Community-owned, open, and censorship-resistant, empowering both developers and users. 👉Moat Andrew Miller (OML paper) brings TEE privacy computing to the forefront, enabling both commercialization and user loyalty for open source models. His research will be presented at the NeurIPS 2025 Lock-LLM Conference. 👉Milestones Dobby won AI Startup of the Year, shared The Road to Success in Open Source AI at BlLife Forum in Dubai on 28th and 29th October, TGE is coming. 👉How to Participate Connect your agent/model/data to GRID and get routing and incentives through practical widgets. Track community rankings and ecosystem integrations to ensure virality and traffic. Success in open source depends on the contribution curve, not brand halo. gSenti Optimistic with #SentientAGI

I ran into a friend who does AI outsourcing at a coffee shop. She complained about how expensive closed-source APIs are, how strict the speed limits are, and how a change in risk control could bring the entire business to a standstill. I asked her, Have you heard of @SentientAGI? I gave her an analogy: changing intelligence from renting to co-building and owning, embedding verifiable fingerprints in the model, and labeling on the blockchain who trained it, who used it, and who benefited from it, with rules written into the protocol, eliminating the need for customer service tickets. I showed her the data: ROMA achieved 45.6% on SEAL-0 and 81.7% on RAMES. GRID aggregates 40+ agents and 50+ data sources, with a waiting list of 2 million, 4 research papers published at NeurIPS, and $85 million in funding. She asked about its practical application. I said: I used ROMA Search for multi-step searches and Chat's Spaces to generate asset reports, completing the fund flow analysis in minutes, OML fingerprinting makes the model's loyalty verifiable, preventing it from being distilled into an anonymous black box. Perhaps in the next round, when we bring up AGI again, the benefits of human-machine collaboration will have already been returned to the builders. #SentientAGI

Dive into @SentientAGI's Decentralized Vision and how Sentient is changing AGI development. 🔹Sentient aims to create a decentralized AGI ecosystem where control and development is not held by a single organization but distributed across a global community. 🔹If Sentient succeeds, they could reshape the AGI industry, turning it into a global collaboration rather than a race between giants like OpenAI. > Can Sentient surpass OpenAI in building decentralized AGI? 🧵Here's a look at how this vision could change the way we develop AGI.👇 @shad_haq_ @vivekkolli @LeaderX_btc

After exploring various options, I focused on Sentient's AI + Governance model. Roma promotes community discussions → structures them into on-chain actions, rotates multi-signature councils, high-reputation members, and ZK voting to balance privacy and fairness @SentientAGI OML fingerprints protect model ownership, with penalties for violations, $SENT plans to return revenue to GRID contributors, forming an ownership economy. Chancery benchmarks make full use of corporate governance theory, expose flaws in multi-hop and overlapping terms, open source peer review drives innovation. Architecture and Progress: TEE (AWS Nitro Enclaves) ensures training/validation, has handled over 500 million agent calls, $85 million in funding, over 700,000 coins owned on testnet. My Assessment: With governance able to understand intent and ownership verifiable, open source AGI will move towards trusted collaboration and sustainability incentives, next, keep an eye on NeurIPS paper and mainnet progress, opportunities may be coming.

GN CT I am happy that I have achieved my goal of being in the 3M rankings and have reached the top 86 3M Yapper @SentientAGI. With the current context, Sentient AI is open source and owned by the community. - If you are a developer looking for open source, then open source GRID will be the best place to build for you. - If you want to find in-depth data about a certain Token or daily news, then Sentient Chat will be the place to find the latest news and best data about Crypto. - With over 100 partners and over 50 data sources from GRID, you will be surprised when experiencing Sentient for data searching. gSenti

GN CT gSenti fam Continue Towards the Top 3M Sentient Community Yapper I am at the crossroads between Web3 and AI, experimenting with new things. I recently chatted with @SentientAGI on GRID, asking when the TGE will happen. The system replied: The date is not yet officially announced, stay tuned for official updates. Okay, let's skip the token and look at the product. They are building a collaborative, multi-agent ROMA ecosystem, OML fingerprints, verifiable computation, connecting models, data and execution, allowing the community to train, curate and share the profits together. The recent collaboration between alphaXiv and UnifAI seems to be paving the way for research and deployment. This path is slower but more stable, especially for open AGI. Activities you can participate in: Yapper points, Galxe tasks and GRID testnet are all underway, with rewards for good content, TGE is yet to be decided, but contributions will be recognized. We'll see who really comes out on top when governance is on-chain and tokens are released. My suggestion: Run a small proxy first and get familiar with the ROMA/GRID process before considering a position in #OpenAGI.

Only under pressure can we have the motivation to rise up. Espresso the shared sequencing layer that coordinates multiple rollups for fast finality and real-time sync @EspressoSys provides confirmations (~5.2s avg) and modular data availability for Ethereum (rollups). Cross-rollup UX targets subsecond pathways $ESP can be staked on the network (PoS) to secure validators, rewards may accrue via restaking integrations. APY may vary. Performance targets are not guaranteed. @espressoFNDN ----- I guess building in public without TGE teasers might actually be the strongest flex from @SentientAGI Dubai panels, East Asia tour, ROMA v0.2, OML fingerprints, and the alphaXiv collab keeping research open Loyal AI, agents that pay creators, community governance on the horizon watch the grind, not the hype; testnet up next, global hackathons loading.

The self-custodied crypto new bank they've been touting is about to pass its first test. Sale begins on November 3rd. The community round is hosted by NozomiNetwork × legiondotcc, with $TRIA participating. @useTria's ACM event will simultaneously unlock investment multipliers, up to 5x cSNAPS bonus. Top 25 cSnappers receive a guaranteed $1000, Top 25 Snappers receive a guaranteed $500. A unified snapshot will be taken on October 31st at 2 PM UTC, and the list will be settled according to the real-time leaderboard. Creators, traders, and cardholders can all participate in this round, do your homework before the snapshot. Why pay attention to this community round? Visa card coverage in 150+ countries, BestPath AI routing, and zkKYC privacy compliance combine spending, exchanging, and earning into a single self-managed account. Behind this is @SentientAGI's open-source AGI narrative, with agent card spending, on-chain settlement, and profit rebates all aligned on the same logical line. Tip: The Cookie prize pool is currently running at $650,000, and it's also on the @MindoAI leaderboard. Combined with exposure and points, rewards are released according to rules after TGE. Those who are ahead in the game have more initiative.

Good Morning Everyone ☕️ gSenti Fam Wishing everyone an energetic Saturday, and let's do morning exercises to have good health and work better. I was sipping my morning coffee and scrolling through Twitter, watching @SentientAGI's Speedrun clip, and following their latest developments with UnifaiNetwork and askalphaxiv. I was amazed: they are turning open source AGI into a business with a certificate of authenticity - the kind that can withstand audits and share revenue with the community. The OML fingerprint is like stamping the model with 24,576 unique stamps that cannot be erased even with minor adjustments, the traces on the chain clearly show who trained it, who called it, and who contributed. It's like giving each athlete a jersey with a number, allowing for frame-by-frame replay analysis after the game. A single prompt on the front triggers ROMA + GRID on the back, mobilizing over 40 agents to collaborate in parallel: reading on-chain data, profiling wallets, backtesting policies, and deploying UnifAI execution, with TEE/ZK providing full assurance. It feels like a distributed quant team, each member fulfilling their role but still working in unison. The community is also working at full capacity: Kaito releases a weekly Yapper leaderboard and research papers are being submitted to NeurIPS. Don't rush TGE, get the website done first, and only talk about finishing after the framework is fully built.

A friend told me: Check out @SentientAGI and @askalphaxiv, they've really brought research to life! 🔥I clicked on it and it's really interesting: Open research has broken free from piles of papers and is now truly running. -Knowledge long locked away in paywalls and institutions has been given a new lease on life. -Sentient provides the open-source foundation. -AlphaXiv provides the interactive platform. It achieves: Papers are code. Data is readily available. Experiments are reproducible and can be rebuilt. The sense of openness is off the charts. 🔥What exactly can open research do? It lets you: Load datasets with one click, share experimental environments, visualize and compare results, and run long tasks collaboratively using agents. What used to be a bottleneck in the entire process is now incredibly smooth. I tried sending out an idea, and the next day someone on the other end was running experiments, adding data, and providing improvement suggestions. The pace is accelerated, and feedback becomes concrete, verifiable, and accumulative. 🔥Research is no longer posted and done, but a closed loop of posting → calling → verifying → rebuilding. The community can see and feel it, contributions and impacts are recorded and sustained. Want OpenSourceAI to win? See how @SentientAGI x askalphaxiv brought open research to the Web3 arena.

A friend asked me, What have you been up to lately? You look like you're in a dungeon. I laughed, This time the main focus is Sentient, dual-tracking the yap leaderboard and testnet. @SentientAGI has been buzzing with news these past few days: some say November 15th is the month's settlement date, some are betting the airdrop snapshot will wait until the last minute before Q1 TGE, and the group chat is a cacophony of captured/uncaptured" rumors. I'm sticking to my own pace: piling up Yaps every day, running in the GRID, and casually going through ROMA and SPIN-Bench, making a list of hints and scripts, and submitting issues directly when I encounter bugs. Anyway, this OML fingerprint + open-source contract approach emphasizes verifiable ownership and backtracking training history. Intelligence needs to be smart, but even more importantly, it needs to be verifiable. avoiding shortcuts, even if it's slower, is worthwhile. Next, I'm keeping an eye on three things: the OML 2.0 vote, the Devcon Open AGI summit, and Q1 $SENT/TGE. Don't guess at snapshots. All you can do is document every commit and every baseline. The earlier you work, the higher your chances of being seen. gSenti #OpenAGI

GM CT☀️ I looked at the @SentientAGI roadmap and noticed they have integrated “evaluation-framework-governance-economics” as a core strategy. Here are the Key Focuses: 1⃣LiveCodeBench Pro was selected for NeurIPS, end-to-end algorithmic inference evaluation and real-world performance demonstration under resource constraints and blinded adversarial testing. 2⃣The ROMA recursive multi-agent architecture breaks down complex tasks into execution-evaluation tasks, enabling verifiable collaboration. 3⃣The three elements of Loyal AI: ownership, control, alignment, combined with fingerprint protection and OML code, targeting 8 billion users. 4⃣Payments Pro is powered by $SENT: user payments, agent payments, and value-based models. 5⃣Focus: Closed loop on-chain model → usage monitoring → revenue sharing → community expansion. 6⃣Why now: InfoFi is gaining momentum, and open-source models require verifiable provenance and sustainable incentives. $SENT will become the fuel for settlement and access. With standardized evaluation, configurable actors, and verifiable ownership, GRID can become an open intelligence layer and truly turn open source AGI into a sustainable economy.

That evening, I saw a presentation on my WeChat Moments: Open AGI Economy - London Business School. The accompanying image showed Sandeep presenting on open source and ownership. He frowned: closed source APIs had stalled his project three times, his bills skyrocketed, and he couldn't even take his user data with him. He asked a friend who was working on crypto AI. Is this possible? Try ROMA + OML. Use fingerprints to verify ownership of the model and run a small proxy on GRID. Loyalty is trained by Dobby, and rewards and authorship are recorded on-chain. They don't look at your data, they just recognize your signature. He followed the instructions. A multi-step research proxy was created, crawling on-chain data and writing intelligence reports. The first task was passed to him, and he saw that ownership was verified, revenue sharing was successfully resolved, and there were no platform locks or API rate limits. The next day, he reviewed the presentation slides: the LBS platform illustrated a broad audience, while the @SentientAGI presentation was like a path: open, verifiable, distributed, and co-governed. For developers, the meaning was simple: creations with clear ownership and transferable value. In short, let openness become a form of measurable trust, and let intelligence participate in the economy transparently. #OpenAGI

Don't be sad if you don't have Monad rewards or ignore it. I have researched and found 2 projects that can be good rewards in this Q4 you should focus on it. @SentientAGI Decentralized Artificial General Intelligence (AGI) Open Source AI Technology - Raised 85 million dollars @zama_fhe Fully Homomorphic Encryption (FHE) - Raised 130 million dollars They are 2 projects with breakthrough technology in other similar products. Let's learn about these 2 breakthrough projects. ---------- Catch up with the professional open source AGI race @SentientAGI is building the community intelligence network, GRID: a four-layer architecture for storage, distribution, access, and incentives. Training and validation are done on TEE (AWS Nitro), completely separating the chain from the compute power for parallel scalability. OML nodes handle model transformation and verification, with over 24,000 fingerprints proving ownership. External retraining holds back about 70% of the system, and violations will result in slashing. Data with 500M+ agent invocations, 700,000 + testnet stakes, $85M pre-mainnet funding. The SENT Economy and Royalties will be returned to model/agent authors, with DAO governance. The more you contribute, the more you earn. Comment Once the ownership of the open source model is verified, the weights can be made public and the ecosystem can reuse them. The supply curve will explode. This is the next development point of open AGI. ---------- Continuing on the privacy front, I bet on FHE. zama_fhe @zama_fhe technology - fhEVM native euint, security contracts written in Solidity - Publicly recomputable outputs + 13-node MPC + AWS Nitro - Trail of Bits/Zenith 34-week audit, 128-bit privacy, quantum-resistant Performance GPU Acceleration implemented, HPU FPGA 2025 for increased TPS. Secure DeFi applications with MEV resistance, private governance, compliant RWA, and leak-proof AI training. Token ZAMA Expected TGE November 2025, fuel for privacy is scarce. Philosophical quote: Trust computation without data review, redefining "trust" #ZamaCreatorProgram

Collective Intelligence => Single Brain Recently, I've been looking at @SentientAGI's GRID, which looks more like a living intelligent supply chain: • 50+ dedicated agents • 50+ data sources • 6 models • 10+ compute providers ROMA handles routing and decomposition, making long, multi-step, multi-source tasks composable and verifiable, ultimately delivering consistent answers. Product: Open Deep Search, Dobby Models, Fingerprinting, Enclaves, and Sentient Chat work together synchronously. Elsa converts intent into on-chain operations, enabling bridges, swaps, and staking with a single instruction. OML integrates openness and monetization into a single primitive, offering traceability, policy, and pay-per-use. Coupled with the NeurIPS paper, the Minsky AI Startup of the Year Award, and ROMA's GitHub launch, the community's speed is evident. If data, computing power, and agents are truly integrated, the chances of open source AGI winning will increase, and the foundation of the intelligent economy is taking shape. #AGI gSenti

I ran into a friend who does AI outsourcing at a coffee shop. She complained about how expensive closed-source APIs are, how strict the speed limits are, and how a change in risk control could bring the entire business to a standstill. I asked her, Have you heard of @SentientAGI? I gave her an analogy: changing intelligence from renting to co-building and owning, embedding verifiable fingerprints in the model, and labeling on the blockchain who trained it, who used it, and who benefited from it, with rules written into the protocol, eliminating the need for customer service tickets. I showed her the data: ROMA achieved 45.6% on SEAL-0 and 81.7% on RAMES. GRID aggregates 40+ agents and 50+ data sources, with a waiting list of 2 million, 4 research papers published at NeurIPS, and $85 million in funding. She asked about its practical application. I said: I used ROMA Search for multi-step searches and Chat's Spaces to generate asset reports, completing the fund flow analysis in minutes, OML fingerprinting makes the model's loyalty verifiable, preventing it from being distilled into an anonymous black box. Perhaps in the next round, when we bring up AGI again, the benefits of human-machine collaboration will have already been returned to the builders. #SentientAGI

That day, I received a Cross-Chain Security Insights Report in a group chat. It was full of charts, explosive data, and seemingly perfect conclusions. But the more I looked, the more suspicious I became. The timestamps looked patchy, and the cited sources didn't match. I sent it to a friend, who replied: Use @SentientAGI's Chat, enable ROMA Search, and let OML fingerprint the source first. 💥I added the post and PDF to my workflow. Within seconds, three status lines appeared on the screen: Source: Unverified Cited Chain: Corrupted Risk: Stale Data + Phantom Pairing 💥He added a step: Rebuild the report. Limited data: On-chain events + Covalent + Exa + Official repository. Tools: Code Interpreter + ROMA Search, Output: Structured Summary + Reproducible Steps + Dispute Points. The workflow begins to plot a multi-agent execution graph: data collection, noise reduction, cross-validation, fingerprint verification, and on-chain reconciliation. The final product is limited: key metrics, clear hypotheses, clear uncertainties, and a plan for verifying the next step. At that moment, he breathed a sigh of relief. The information pipeline is more reliable than sound. 💥A few weeks later, the team transformed this process into the GRID Space: daily reports are automatically generated, audit trails can be replayed with a single click, contribution signatures can be tracked, and collaborative revenue sharing is distributed according to contribution. Over 100 models and tools, like a choir, each singing its part, together form a verifiable intelligent production line. What we expect: open collaboration, not a closed black box, verifiable loyalty, not obscure provenance, verifiable creativity, not value drift. Open intelligence, verifiable provenance, common good. Let ROMA lead the way, let OML supervise, and let human-machine collaboration return to provable order.

The OML Open Source AGI Platform A breakthrough for the next decade of intelligence. The Linux moment of open source AI is coming. I am focusing on @SentientAGI 👉The vision of connecting every agent, model, and data into a collective brain for continuous learning and development. 👉The ROMA framework, a recursive open super-agent, handles inference and collaboration. GRID uses performance and utility for routing, with larger contributions leading to higher throughput. 👉Governance Community-owned, open, and censorship-resistant, empowering both developers and users. 👉Moat Andrew Miller (OML paper) brings TEE privacy computing to the forefront, enabling both commercialization and user loyalty for open source models. His research will be presented at the NeurIPS 2025 Lock-LLM Conference. 👉Milestones Dobby won AI Startup of the Year, shared The Road to Success in Open Source AI at BlLife Forum in Dubai on 28th and 29th October, TGE is coming. 👉How to Participate Connect your agent/model/data to GRID and get routing and incentives through practical widgets. Track community rankings and ecosystem integrations to ensure virality and traffic. Success in open source depends on the contribution curve, not brand halo. gSenti Optimistic with #SentientAGI