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Grok 5 has 6 trillion parameters. The earlier model, Grok 4, had 3 trillion parameters. This means the new model was trained on double the data. It is more intelligent than Grok 4. Grok 5 will have the capability to understand all types of media very well (pictures, video, audio, etc.).

AI-generated slideshows are RIPPING rn on tiktok use chatgpt or claude to generate an emotional/engaging storyline that indirectly promotes your product make it split it into multiple slides use gemini nano banana 🍌 to generate the background images hire your little brother to make these & slap them up on tiktok all day if you don't have a little brother, hire somebody elses When that content got reach in tiktok don't think anything post on ig Continue the process

AI writing code is here. But your job isn't gone—it's shifting. You still need the core expertise to validate if the AI-generated code is robust, secure, and solves the right problem Don't outsource critical thinking.

You woke up this morning already behind on AI news. 5 models launched yesterday. A robot got a production date. Google summoned consciousness experts. I spent the night reading so you don't have to. Your 24-hour rescue thread starts here 👇 --- 1/ Kimi K2 Thinking: Open-Weights King** Moonshot AI dropped a 1T parameter MoE model. Runs natively in INT4. 256K context. Artificial Analysis score: 67—new open-weights SOTA. The kicker? It solves complex agentic tasks that used to require proprietary models. One user tested it: generated a working Space Invaders game on M3 Ultra at 15 tok/s. Cost to train? ~$4.6M (if you believe the leaks). **2/ Terminal-Bench 2.0: The Benchmark Just Got Real** Remember Terminal-Bench? The coding agent benchmark? They fixed the easy/impossible tasks. Rewrote it for cloud containers with Harbor framework. Now it's actually useful for measuring agent performance. Claude 4.5 and Kimi K2 both cited it. That was fast. **3/ OpenAI Codex: Actually Usable Now** Capacity upgrades. Mini variant for faster inference. Higher rate limits and priority processing. Translation: You can finally use it in production without hitting walls. **4/ XPENG IRON: Mass Production 2026** Humanoid robot. Late 2026. Customizable body types. Advanced AI. Switzerland's biggest supermarket is already selling AI-designed cookies (with 5-legged reindeers, but still). The robot revolution just got a timeline. **5/ Google: "Wait, Is AI Conscious?"** Three years ago, Google fired Blake Lemoine for asking that. Now they're summoning the world's top consciousness experts to debate it. The irony is thicker than a GPT's parameter count. **6/ xAI GROK-4: Prompt Injection Defense** Major robustness upgrades against system prompt attacks. Not just a meme model anymore. **7/ DreamGym: Synthetic RL Playground** Real-world agent rollouts are slow and expensive. DreamGym fixes it with synthetic environments. Agents train on simulated experiences, then transfer to real tasks. Continuous improvement without the compute burn. **8/ EdgeTAM: Meta's SAM2 Killer** 22x faster than SAM2. Real-time segmentation on iPhone 15 Pro Max: 16 FPS. Apache 2.0 license. Drop-in replacement. On-device AI just got a speed boost. **9/ Cambrian-S: Video Spatial Reasoning** Position paper + dataset + models for spatial cognition in video. 30% gains over base MLLMs on spatial reasoning tasks. Even small models perform strongly. **10/ SkyPilot: Multi-Cloud GPU Orchestration** Simplifies GPU ops across Slurm, KubeRay, Kueue. One command to rule AWS, GCP, Azure. The infrastructure wars are heating up. **BONUS: AI Twitter Drama** • Kimi K2 runs on 2x M3 Ultra—community is shocked • Network bandwidth > GPU count for serving bottlenecks • vLLM vs SGLang is the new "real AGI competition" The ecosystem is moving faster than anyone can track. One day you're SOTA. The next you're legacy. Want a curated weekly digest of stuff like this?

I spent 44 mins inside Zuck's disease-curing playbook. 10-year horizon. 10,000 GPUs. $0 revenue. Here's how they actually run CZI like a startup 👇 They don't fund projects. They fund **Grand Challenges**. 15-year timelines. Too risky for government grants. Too long for pharma. 3 Biohubs: SF, Chicago, NYC. Not random universities. Purpose-built research centers. The rule? Biologists and AI engineers **MUST** sit together. Breakthroughs happen when they learn each other's language. AI says: "I need this data." Biologist goes: "I'll get it from the lab." Feedback loop. Flywheel. But here's what caught me: Zuck admitted he was *jealous* of normal companies. No instant feedback. No revenue up/down. Philanthropy is a 10-year feedback loop. But that's their moat. Government? Too slow. Too risk-averse. Drug companies? Only near-term profits. CZI builds tools *nobody else will*. The fishing rod, not the fish. Want the CZI operating model doc I distilled?

The "AI replacing jobs" narrative is overblown. True value requires human intent, creativity, and discernment—the things that keep us from spending all day playing games. Focus on learning to leverage AI's power, not fearing its 'takeover.' That's where the real opportunity is.

AI is flooding 𝕏. People don’t know what’s real anymore. Make the comments more personal. Talk about your own: - Experiences - Opinions - Beliefs Connect with with each other 😜 𝕏 is the town hall for updates.

Grok's Imagine feature has been upgraded. It now generates really high-quality videos within minutes and even adds sound based on what you mention in the prompt.

AI is going to replace developers!" Meanwhile, the developer not using AI: “I have never been busier building.” Honestly, there’s so much amazing stuff you can now build with and using AI. If you’re a builder, this is literally the best time—AI isn’t replacing developers; it’s arming them with superpowers. Don’t watch the wave—ride it.

24 hours ago, the AI race changed forever. China launched a GPT-5 competitor for $4.6M. Meta opensourced speech recognition for 500 never-before-served languages. And synthetic data just made human-curated datasets obsolete. I spent 8 hours distilling what actually matters: The $4.6M GPT-5 Killer 🇨🇳 The Kimi K2 AMA just dropped and it's brutal for US labs. • Training cost: ~$4.6M (not official, but leaked) • Hybrid attention: KDA + NoPE MLA beats full MLA + RoPE • Muon optimizer: Scales to 1T params, in PyTorch stable But here's the real alpha: 2 , INT4 Native = 10x Cheaper K2 Thinking is natively INT4 via QAT. Pricing: $0.15 / $2.5 per million tokens. Claude Sonnet 4.5: $3 / $15. That's not a discount. That's a demolition. Benchmarks: #7 overall, #1 Occupational tasks on LM Arena. (3/10) Agentic Beast Mode K2 handles 200–300 tool requests in a single run. All tool calls stay *inside* the reasoning trace—no drift. While US models struggle with 10-tool chains, K2 is running full automation loops. K3 teased: "Before Sam's trillion-dollar data center is built." (4/10) Meta's 1600-Language Takeover 🌍 Meta just opensourced ASR for 1600+ languages. 500 NEVER had speech recognition before. This is the biggest democratization event in AI history. Omnilingual ASR suite: 300M to 7B params, plus a 7B wav2vec 2.0 model. (5/10) The Computer Use Model Gelato-30B-A3B just dropped: • 63.8% ScreenSpot-Pro • 69.1% OS-World-G • Outperforms models 8× its size (Qwen3-VL-235B) Built on open Click-100k dataset. GUI agents just became accessible to everyone. The Death of Real Data 💀 Researchers trained "Baguettotron" on 100% synthetic data (SYNTH dataset). 200B tokens. SOTA on math and non-code reasoning. No web scraping. No copyright. No $10M deals. The model discovers its own curriculum. Human data is now optional. (7/10) GPU Infrastructure Arms Race 🔥 AMD + Modular: 2.2× faster inference on MI355X in 14 DAYS. NVIDIA: Blackwell NVFP4 kernel competition just started because even they need crowdsourced optimization. Epoch AI: Gigawatt-scale data centers online by 2026. (8/10) The Market Signal H100/H200 spot prices rising Q4'25. Why? Everyone realized H100s have a long post-Blackwell lifespan. The bottleneck isn't hardware—it's software efficiency. GPUs are becoming "reserve currency" in the intelligence age. (9/10) Agents That Don't Break 🤖 OpenAI x Bain's GEPA cookbook: Self-evolving agents that write their own instructions. Weave released hallucination dashboards for systematic LLM failure tracking. The auth crisis: OAuth doesn't work for headless agents. Industry-wide agent-native auth coming 2025. (10/10) Reddit's Underground Lab /r/LocalLlama finds: • Strix Halo: 10G Thunderbolt ≈ 50G InfiniBand for token generation (latency > bandwidth) • Qwen3-VL-8B: Beat GPT-5 on OCR at 4k resolution • dLLM: Turn ANY BERT into a chatbot with discrete diffusion The best signal is still in the comments. — **BONUS THREAD 7: The Synthesis** In 24 hours we learned: 1. China can match US AI for 1% of the cost 2. Meta is weaponizing open-source to win the next 3B users 3. Synthetic data removes the data moat 4. AMD is catching NVIDIA in 14-day sprints 5. Agents are production-ready if you evaluate properly The AI news cycle is broken because it's moving faster than journalism can track. — follow for more updates..

I heard about this AI voice company, ElevenLabs. Growing at light speed. 350+ employees. Insane valuation. Sounded like more overhyped AI bullshit. Then I heard their product. And saw the $10 MILLION they've paid out to voice actors. Holy shit. I felt stupid for doubting them. The CEO, Mati Staniszewski, just explained their entire playbook. Here's the story: Years ago: Mati is a kid in Poland. He's watching US movies. But the dubbing is complete TRASH. One guy. One boring, monotone voice. Reading the lines for men, women, and kids. It was terrible. His brain: "Someone needs to fix this." So he and his co-founder start ElevenLabs. Their goal: create AI voice that actually has human emotion. But they're up against GIANTS. Google. Amazon. Microsoft. How can they possibly compete? They don't build a normal company. They build a machine. Their "hack" isn't just AI. It's their structure. No giant, slow departments. No endless meetings for approval. Instead: 20 small, independent teams. 5-10 people each. Each team has FULL independence. Full ownership. Their only job is to build and ship their one thing. This is how the math works: Normal company: 1 giant team → 1 update per quarter. ElevenLabs: 20 small teams → 20+ updates per quarter. This system is why they DOMINATE. It's how they shipped: → Realistic Text-to-Speech → AI Voice Agents → AI Music ...all at the same time. It's how they find talent. They found one of their "most brilliant researchers"... ...working in a CALL CENTER. They don't care about resumes. They care about skill. Here's the core lesson: They're not just building AI. They built a system that builds AI faster than anyone else. The secret is ownership. Small teams with 100% ownership will run circles around your giant, slow-ass bureaucracy. EVERY. SINGLE. TIME.

🚨 24 Hours of AI Updates — and today felt different. : GPT-5.1 ecosystem updates, SIMA 2 breakthroughs, new agent frameworks, safety research, infra speedups, multimodal releases, and major security news — all in one thread. Here’s everything that actually mattered in the last 24 hours 👇 GPT-5.1 continued reshaping the ecosystem. OpenAI rolled out: – Faster responses – Better coding – New shell + apply_patch tools – 24-hour prompt caching – Zero price increase GitHub, VS Code, Cursor, Perplexity — everyone integrated it within hours. Agent frameworks are evolving in real time. Cline tightened plan/act transitions. Windsurf made 5.1 default. LangChain dropped safe Sandboxes. Qwen released DeepResearch with deeper search + files. Agentic work isn’t hype — it’s already a workflow. Google DeepMind dropped SIMA 2. A Gemini-powered agent that: – Understands language – Plans + takes actions – Uses keyboard + mouse – Generalizes to unseen 3D worlds – Self-improves with zero human feedback This is their clearest bridge from game agents → robotics. Interpretability breakthroughs flew under the radar. OpenAI introduced “sparse circuits” — training models with intentionally sparse internal structures to isolate behaviors. If you can understand circuits, you can control models. This might be one of 2025’s most important papers. Video + multimodal models jumped again. – Vidu Q2 Turbo/Pro hit Video Arena top ranks – NVIDIA launched TiDAR (diffusion + autoregressive hybrid) – Photoroom open-sourced a full T2I model – RF-DETR matched YOLO speeds with wild efficiency gains – GLM-4.6 neared Claude-Sonnet quality at 15% fewer tokens Infra is becoming the hidden arms race. – Hugging Face × Google Cloud announced a huge partnership – Baseten: 2× inference speed – Modal: faster speculative decoding – SkyPilot: 18× job orchestration improvements – VS Code now runs Colab runtimes directly The moat is shifting to infrastructure. Security crossed into a new era. Anthropic says it disrupted a large-scale, AI-driven cyber-espionage campaign attributed to a Chinese state-linked group. Not hypothetical. Not a simulation. A real AI-executed attack. Policy + market reality checks landed. – Anthropic open-sourced a political bias eval – UN researchers discussed compute-verified safety – Kagi launched “SlopStop” for AI-slop detection – Andrew Ng warned against “AI hype paralysis” – Cursor announced a $2.3B Series D + $1B ARR Agents now have unicorn economics. Reddit’s LLM community had two wild moments. Someone ran a **1 trillion parameter model** on a consumer PC. And Jan-v2-VL scored a **10× jump** on long-horizon tasks. Edge compute is getting absurdly creative. And the funniest moment? A newspaper printed a ChatGPT answer *word for word* — including “Let me know if you want it prettier for a front-page layout.” AI isn’t replacing journalists. Bad editorial oversight is. The takeaway: Today wasn’t flashy — it was foundational. The underlying tools, safety work, and model reasoning all leveled up quietly. These compounding upgrades matter more than headline releases. If you’re building in AI: Don’t chase noise. Watch the infrastructure and capabilities underneath. That’s where the next leap is coming from.

10 seconds for car rollout at Tesla manufacturing

From now on, you can also deep search in NotebookLM. NotebookLM is highly underrated — a lot of people aren't using it, but it's way better for students and learning stuff.

Content: If AI writes resumes and AI reviews these resumes what is the point of a resume?

Grok 5 has 6 trillion parameters. The earlier model, Grok 4, had 3 trillion parameters. This means the new model was trained on double the data. It is more intelligent than Grok 4. Grok 5 will have the capability to understand all types of media very well (pictures, video, audio, etc.).

AI-generated slideshows are RIPPING rn on tiktok use chatgpt or claude to generate an emotional/engaging storyline that indirectly promotes your product make it split it into multiple slides use gemini nano banana 🍌 to generate the background images hire your little brother to make these & slap them up on tiktok all day if you don't have a little brother, hire somebody elses When that content got reach in tiktok don't think anything post on ig Continue the process

AI is going to replace developers!" Meanwhile, the developer not using AI: “I have never been busier building.” Honestly, there’s so much amazing stuff you can now build with and using AI. If you’re a builder, this is literally the best time—AI isn’t replacing developers; it’s arming them with superpowers. Don’t watch the wave—ride it.

You have 50 bookmarked articles, 20 saved tweets, and 15 YouTube videos. Your notes are scattered across 3 different apps. When you actually need that information, you can't find it. And you definitely can't see how it all connects. This is the information overload that Notebook LM was built to solve.

"AI is going to replace developers!" The truth? I've never been busier building. AI isn't a threat; it's the ultimate force multiplier. The amount of amazing, valuable tech we can now create with AI is staggering. Those still ignoring AI today are missing the single biggest unlock in development history. Don't be one of them.

The "AI replacing jobs" narrative is overblown. True value requires human intent, creativity, and discernment—the things that keep us from spending all day playing games. Focus on learning to leverage AI's power, not fearing its 'takeover.' That's where the real opportunity is.

AI writing code is here. But your job isn't gone—it's shifting. You still need the core expertise to validate if the AI-generated code is robust, secure, and solves the right problem Don't outsource critical thinking.

You can now upload your own slide templates to Manus! Manus will automatically generate new decks that match your brand style fonts, colors, layouts, everything.

I am just created with grok for fun. First i created images in nano banana. Then image to video grok voice also grok

I spent 44 mins inside Zuck's disease-curing playbook. 10-year horizon. 10,000 GPUs. $0 revenue. Here's how they actually run CZI like a startup 👇 They don't fund projects. They fund **Grand Challenges**. 15-year timelines. Too risky for government grants. Too long for pharma. 3 Biohubs: SF, Chicago, NYC. Not random universities. Purpose-built research centers. The rule? Biologists and AI engineers **MUST** sit together. Breakthroughs happen when they learn each other's language. AI says: "I need this data." Biologist goes: "I'll get it from the lab." Feedback loop. Flywheel. But here's what caught me: Zuck admitted he was *jealous* of normal companies. No instant feedback. No revenue up/down. Philanthropy is a 10-year feedback loop. But that's their moat. Government? Too slow. Too risk-averse. Drug companies? Only near-term profits. CZI builds tools *nobody else will*. The fishing rod, not the fish. Want the CZI operating model doc I distilled?

Grok's Imagine feature has been upgraded. It now generates really high-quality videos within minutes and even adds sound based on what you mention in the prompt.

I heard about this AI voice company, ElevenLabs. Growing at light speed. 350+ employees. Insane valuation. Sounded like more overhyped AI bullshit. Then I heard their product. And saw the $10 MILLION they've paid out to voice actors. Holy shit. I felt stupid for doubting them. The CEO, Mati Staniszewski, just explained their entire playbook. Here's the story: Years ago: Mati is a kid in Poland. He's watching US movies. But the dubbing is complete TRASH. One guy. One boring, monotone voice. Reading the lines for men, women, and kids. It was terrible. His brain: "Someone needs to fix this." So he and his co-founder start ElevenLabs. Their goal: create AI voice that actually has human emotion. But they're up against GIANTS. Google. Amazon. Microsoft. How can they possibly compete? They don't build a normal company. They build a machine. Their "hack" isn't just AI. It's their structure. No giant, slow departments. No endless meetings for approval. Instead: 20 small, independent teams. 5-10 people each. Each team has FULL independence. Full ownership. Their only job is to build and ship their one thing. This is how the math works: Normal company: 1 giant team → 1 update per quarter. ElevenLabs: 20 small teams → 20+ updates per quarter. This system is why they DOMINATE. It's how they shipped: → Realistic Text-to-Speech → AI Voice Agents → AI Music ...all at the same time. It's how they find talent. They found one of their "most brilliant researchers"... ...working in a CALL CENTER. They don't care about resumes. They care about skill. Here's the core lesson: They're not just building AI. They built a system that builds AI faster than anyone else. The secret is ownership. Small teams with 100% ownership will run circles around your giant, slow-ass bureaucracy. EVERY. SINGLE. TIME.

Sam Altman just gave the most important AI interview of 2025. He dropped 52 minutes of pure alpha on GPT-6, the death of email, and OpenAI’s new physical device. I listened to the whole thing so you don't have to. Here are the 7 critical takeaways: 🧵👇

🚨 24 HOURS OF AI UPDATES — AND IT’S GETTING WILD. Google teasing Gemini 3. OpenAI pushing adaptive reasoning. Anthropic dropping structured outputs. Agents leveling up. Robots doing house chores. Cyberattacks automated by AI. Here’s EVERYTHING you missed in the last 24 hours 👇🧵

AI comments are getting out of hand. Is anyone human here anymore? I’m going to start posting bait tweets just to see how absurd the comment section can get.people are using ai to write banger comment in my post.i found a guy he asking grok to write banger comment for he sawing threads and posting. But the twist was he getting lot view