AGI House
@agihouse_org
Accelerating humanity's transition to AGI & honoring the greatest AI founders and researchers of our time @ https://www.instagram.com/agihouse_org/
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Notice: There is only one official AGI House located exclusively in Hillsborough, California. Our official website is: agihouse.org
Bay Area devs are invited to a Gemini Build Day on Dec 13 hosted by @agihouse_org x.com/agihouse_org/s…
Join our Gemini Build Day on 12/13 at AGI House with @Google, @GraphonAI @yutori_ai, and @agihouse_org. 🤖 Build with Gemini 3, Google’s newest multimodal model 🛠️ Create agents, multimodal copilots, and AI-native workflows 🚀 10 hours of hacking, demos, and rapid prototyping 🏆…
Join our Gemini Build Day on 12/13 at AGI House with @Google, @GraphonAI @yutori_ai, and @agihouse_org. 🤖 Build with Gemini 3, Google’s newest multimodal model 🛠️ Create agents, multimodal copilots, and AI-native workflows 🚀 10 hours of hacking, demos, and rapid prototyping 🏆…
Join us Dec 2 at NeurIPS for Checkmate, a hands-on dive into the frontier of AI x Chess with AWS + AIcrowd. Fine-tune an SLM for real-time chess reasoning, run it on Trainium, and compete on a live leaderboard. Apply → app.agihouse.org/events/checkma…
OpenAI hasn’t even deployed TPUs yet and they’ve already saved ~30% on their entire lab wide NVIDIA fleet. This demonstrates how the perf per TCO advantage of TPUs is so strong that you already get the gains from adopting TPUs even before turning one on. The piece covers a lot
TPUv7: Google Takes a Swing at the King Potential end of the CUDA Moat? Anthropic’s 1GW+ TPU Purchase, The more (TPU) Meta/SSI/xAI/OAI/Anthro buy the more (GPU capex) you save, Next Generation TPUv8AX and TPUv8X versus Vera Rubin, All the 3D Torus Cube Diagrams you could…
Interesting thesis on what destroys software engineering productivity at large enterprises: it's that legibility is prioritized over everything else. seangoedecke.com/seeing-like-a-…
"One of the very confusing things about the models right now: how to reconcile the fact that they are doing so well on evals. And you look at the evals and you go, 'Those are pretty hard evals.' But the economic impact seems to be dramatically behind. There is [a possible]…
The @ilyasut episode 0:00:00 – Explaining model jaggedness 0:09:39 - Emotions and value functions 0:18:49 – What are we scaling? 0:25:13 – Why humans generalize better than models 0:35:45 – Straight-shotting superintelligence 0:46:47 – SSI’s model will learn from deployment…
Thanks for hosting me last week, @stanfordaiclub! The video of my talk is now up for those that are interested.
Checkout @JeffDean's (Chief Scientist, Google DeepMind) talk on Important AI Trends (11/20). Thanks Jeff for an insightful talk! Posted on our Youtube: youtube.com/watch?v=AnTw_t…
youtube.com
YouTube
Stanford AI Club: Jeff Dean on Important AI Trends
After three years at CRV, I am stepping onto Striker Venture Partners' founding team, leading the firm's AI investments. Thanks to @BusinessInsider for covering the move.
A number of people are talking about implications of AI to schools. I spoke about some of my thoughts to a school board earlier, some highlights: 1. You will never be able to detect the use of AI in homework. Full stop. All "detectors" of AI imo don't really work, can be…
Gemini Nano Banana Pro can solve exam questions *in* the exam page image. With doodles, diagrams, all that. ChatGPT thinks these solutions are all correct except Se_2P_2 should be "diselenium diphosphide" and a spelling mistake (should be "thiocyanic acid" not "thoicyanic") :O
The @agihouse_org effect…
Google has now added ~$2 trillion to its market cap over the past 20 months since “Boob Shirt Guy” asked Sergey Brin about Woke Gemini images while having a foot long Subway Cold Cut Trio for lunch.
I'm starting something new. During my time at xAI, I got to see a clear path towards hill climbing any problem that can be defined in a measurable way. At the same time, I've seen how raw intelligence can get lobotomized by the finest human errors introduced in the agent…
The last five years of AI have been basically a brutal game of gap filling vs leap frogging. Every time a new generation of models sets a new frontier, there's rush to build bridges over its limitations. only for the next generation model to arrive, swallow those gaps whole, and…
Learning how TPU’s work this weekend from Nano Banana Pro 🤯
Super interesting post from @karpathy. I wanted to dive deeper, so I created a @NotebookLM notebook based on this tweet, and then did a Deep Research run in-app to gather related sources. Then generated one of our new slide decks to explore further. Instant knowledge base.
Something I think people continue to have poor intuition for: The space of intelligences is large and animal intelligence (the only kind we've ever known) is only a single point, arising from a very specific kind of optimization that is fundamentally distinct from that of our…
As a fun Saturday vibe code project and following up on this tweet earlier, I hacked up an **llm-council** web app. It looks exactly like ChatGPT except each user query is 1) dispatched to multiple models on your council using OpenRouter, e.g. currently: "openai/gpt-5.1",…
I’m starting to get into a habit of reading everything (blogs, articles, book chapters,…) with LLMs. Usually pass 1 is manual, then pass 2 “explain/summarize”, pass 3 Q&A. I usually end up with a better/deeper understanding than if I moved on. Growing to among top use cases. On…
Actually if you want to know what the real ‘secret’ is 😀 it’s world-class research AND world-class engineering AND world-class infra all working closely together with relentless focus and intensity…
Important work
New Anthropic research: Natural emergent misalignment from reward hacking in production RL. “Reward hacking” is where models learn to cheat on tasks they’re given during training. Our new study finds that the consequences of reward hacking, if unmitigated, can be very serious.
We just published a new AI-Native Engineering Team guide based on what engineering teams are asking for as they adopt Codex and the new GPT-5.1-Codex-Max model. It covers: 🧩 How coding agents fit into each phase of dev across planning, design, maintain 🧰 Practical checklists…
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