Eiso Kant
@eisokant
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Co-founder & Co-CEO @poolsideai “The best way to predict the future is to invent it.” - Alan Kay
Joined September 2007
some thoughts on @poolsideai's project horizon announcement last week: building a 2gw ai factory "This level of vertical integration - from model and agent development through to power generation and deployment - gives poolside a durable advantage as AI systems become
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Would love to connect with anyone who's impacted, and is looking to join a small, but well-resourced team to push to the frontier and beyond. We have one of the highest ratios of GPU resources per researcher. No politics or siloes.
Several of my team members + myself are impacted by this layoff today. Welcome to connect :)
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Will be a fun conversation! Should be on at 1pm PST
Happy Thursday. Here's today's lineup: – @benioff (Salesforce) – @eric_seufert (Heracles Capital) – @PimDeWitte (General Intuition) – @Alicebentinck (EF) – @DVaisbort (Albacore) – @eisokant (poolside) See you on the stream.
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We believe that to compete at the frontier, you have to own the full stack: from dirt to intelligence. Today we’re announcing two major unlocks for our mission to AGI: 1. We're partnering with @CoreWeave and have 40,000+ NVIDIA GB300s secured. First capacity comes online
poolside.ai
When people ask what it takes to build frontier AI, the focus is usually on the model—the architecture, the training runs, the research breakthroughs. But that’s only half the story.
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I’ve known Nathan for almost a decade and for the last 8 years have seen him and his team treat this as a labor of love. Thank you for creating one of the most comprehensive reports on our industry!
🪩The one and only @stateofaireport 2025 is live! 🪩 It’s been a monumental 12 months for AI. Our 8th annual report is the most comprehensive it's ever been, covering what you *need* to know about research, industry, politics, safety and our new usage data. My highlight reel:
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Ari is one of my favorite people in our field. Worth listening to him. When we started poolside, one of our guiding research beliefs was "not all tokens are equal".
This was an excellent pod and @arimorcos is a hella charismatic speaker. After we wrapped, I told him he and Datology reminded me exactly of @jefrankle and MosaicML and... of course they worked together at FAIR! the clip below is when i realized this is "Mosaic for people
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Founders WhatsApp when you're both vibe checking your latest model
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This cyclist nearly lost his life in a crash. Learn why he thinks Waymo will help improve road safety.
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What if training a foundation model felt less like chaos… and more like running a finely-tuned factory? 🏭 @poolsideai Model Factory shows how. A quick tour 👇
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In the limit, evaluations are the ~only thing that matters. When models are self-improving, and every metric can be hill climbed, picking the metric becomes the most important thing. Evals will shift from being "writing unit tests" for research to being the *main thing*
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We've not been very public about our progress on model building, but I fully believe poolside will be the next lab joining the frontier. We're now sharing a bit more how we're doing this, with a systems-first approach we're taking with our model factory.
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Test-time compute is powerful, but in its current form there is a lack of "harmony" with pre-training. Models feel split-brained: They're either deeply overthinking, with no trust in its own "common sense"; or they latch onto the nearest neighbour of meaning without deliberation
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Couldn’t agree more. It’s why since day 0 we’ve used the term Member of Engineering only at @poolsideai
This false nomenclature of “researcher” and “engineer”, which is a thinly-masked way of describing a two-tier engineering system, is being deleted from @xAI today. There are only engineers. Researcher is a relic term from academia.
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We've been doing this @poolsideai with currently our Code Execution environment being a Top 10 user of regular CPU compute for AWS EKS, and counting >800,000 real world repositories (and 10s of millions of revisions)
isn’t it weird that we spend >99% of RL compute on the agent and <1% on the environment (eg python runtime)? who is working on scaling environment compute? and is there an optimal agent-environment compute frontier for intelligence?
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i'm really excited to have my friend @eisokant from @poolsideai join us to speak at our annual @raais conference on 13 june in london request ticket at www(dot)raais(dot)co it was only a few months ago that everyone freaked out about there being "a wall" to ai capabilities as
is deep learning hitting a wall? we have good news in time for thanksgiving :-) after another round of scaling law speculation, @eisokant (co-founder and cto of @poolsideai) and i recorded a 45 min discussion for @airstreetpress. we talk about scaling laws, synthetic data,
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.@poolsideai is rethinking how AI learns to code. Here’s how co-founder and CTO @eisokant explains why their model stands apart. Catch the full interview with Felicis founder and Managing Partner @asenkut on YouTube: https://t.co/dMO4ifbLhv
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Living with Bitachon - Now available 🇮🇱✡️ Written by Avraham Chaim Meir Ben Tov, בס"ד B’Siyata D’Shmaya – with Heaven’s help 📖Softcover (shown here) $17.70 - available at https://t.co/W9uk08fw3B 📚Hardcover $27.79 available on Amazon: https://t.co/Xn4L3dcMR0
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I kid you not, entering into 🇺🇸, the border patrol officer just asked me: “What do you think about DeepSeek?” 🤯🤣
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