Joined April 2007
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Pinned Tweet
31 Oct 2024
Speechless.
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AI2027 timelines keep pulling in
The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance. Access to all other Claude models is not affected. We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible. Read our full statement: anthropic.com/news/fable-myt…
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Fable without a doubt a stronger developer than GPT-5.5, but man is it painful to go back into Claude Code as a daily driver from Codex - the DX in Codex is just so much better.
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Eric Litman retweeted
Each year, we share a public update on our progress @newlimit from our lab in South San Francisco. This year, we announced: 1. 2X increase in discovery rates with AI systems 2. New program focused on endothelial cells 3. 0 -> 1 medicines headed to the clinic Full event video below
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Eric Litman retweeted
More of the iOS app loop, now inside Codex. The Build iOS Apps plugin lets Codex view and test your iOS app in the in-app browser, open SwiftUI previews, and hot reload edits without leaving Codex.
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Another banger from @hnshah!
Been working with @SamAsante on a new company. Today we’re releasing our first product. It’s called Typeahead and we’re live on Product Hunt. You type and inline suggestions appear right in the text field. Tab to accept the full suggestion or right arrow for one word at a time. It learns how you actually write. Everything runs locally on your Mac, works offline, and you pay once. $79 and you own it forever. If you write a lot on a Mac, check it out and let us know what you think. Live on Product Hunt right now → producthunt.com/products/typ…
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Eric Litman retweeted
The only thing worse than having the CEO knee-deep in building stuff with AI is not having the CEO knee-deep in building stuff with AI.
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Eric Litman retweeted
May 28
Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors. Available today at the same price.
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Data at population scale often falls apart when it meets real world scenarios. Hats off to Bryan and Kate for being at the vanguard and driving huge awareness for what may be possible ahead.
We now have a female Bryan Johnson. It’s Kate Tolo. She will become the most measured female in history. $2 million of spend per year Developing a female-specific protocol Sharing everything for free To start, she will spend 3 months mapping her baseline. Men, in contrast, can get their baseline done in 1 or 2 weeks. 3 months for baseline measurement across 4 time points per cycle doing the same thing every day a dedicated full-time medical team For context on the extensiveness of measurement, during the past 5 years, we’ve collected 1.5 billion data points on my body. I suspect Kate will exceed that given technology has improved since I started. The goal is to create a repeatable waveform of hundreds of life-critical biomarkers. Once the baseline is acquired, she will begin interventions. We will try to answer practically useful questions and share all of the data learnings for free. Can fertility be improved? Should women cold plunge? Can PMS symptoms be alleviated? What should a female sauna protocol be? Should dosage change throughout the month? What keeps a cycle regular? Does the body need more iron, magnesium, or protein at specific phases? Should women fast? Should recovery protocol change by phase? What's the earliest detectable signal of perimenopause? Can perimenopause be slowed? How is cognitive load & mood affected? Does stress impact men and women the same? Kate has suspected endometriosis. 10% of all women do. We will try to tackle this too. I am excited for all of the surprising things we will hopefully uncover. Unlike me, Kate does not have the innate desire to wake up at 4:30am and do six hours of longevity therapies. She’s the cofounder of Blueprint, building in the trenches with me since day one. She understands the game and how hard it is. In many ways, this is a sacrifice for her. She is a creative person, going from a life of freedom and spontaneity to a rigid protocol. Traditionally, RCTs have been viewed as the gold standard. But RCTs have underserved women. The FDA banned women from clinical trials for 16 years (1977 to 1993), and most "medicine for women" is still medicine tested in men. Demanding RCT-only evidence for women's health is demanding evidence that doesn't exist. There is not enough practical scientific literature for women to reference only RCTs. It leaves half the population without a path to know what to do. N=1 medicine is gaining ground and picking up where RCTs specifically fail. Individual science experiments give us signals that answer what to do on a day-to-day basis. This is even more important for women. If you’re new to Kate and my world, I want you to understand that we have your back. Our intentions are to be a sturdy, reliable force in your life. To care for your best interest as we’d care for our own. We want what’s best for you and our loyalty is to your existence. It’s pretty cool to be living in a time when we may be the first generation to not die. I’m not suggesting immortality, but lifespans so long that we stop thinking about lifespans. At the end of the day, the one thing we each care about more than anything else is one more breath. I’m proud of Kate for taking on this responsibility. It’s painful, exhausting and costly. The beginning of the world’s first n=2.
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Eric Litman retweeted
Cancer kills because it's caught late. Adialante is changing that by making mobile MRI accessible — dropping its costs to hundreds per scan and wait times to hours. Annual cancer screening will be the norm. Congrats on the launch, @ET_adialante & @ManW_dePlan! ycombinator.com/launches/QLh…
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Eric Litman retweeted
We’re training models wrong and it’s due to chatGPT. Even the modern coding agents used daily still use message-based exchanges: They send messages to users, to themselves (CoT) and to tools, and receive messages in turn. This bottlenecks even very intelligent agents to a single stream. The models cannot read while writing, cannot act while thinking and cannot think while processing information. In our new paper, see below, we discuss LLMs with parallel streams. We show that multi-stream LLMs can … 🔵Be created by instruction-tuning for the stream format 🔵Simplify user and tool use UX removing many pain points with agents and chat models (such as having to interrupt the model to get a word in) 🔵Multi-Stream LLMs are fast, they can predict read tokens in all streams in parallel in each forward pass, improving latency 🔵 LLMs with multiple streams have an easier time encoding a separation of concerns, improving security 🔵 LLMs with many internal streams provide a legible form of parallel/cont. reasoning. Even if the main CoT stream is accidentally pressured or too focused on a particular task to voice concerns, other internal streams can subvocalize concerns that would otherwise not be verbalized. Does this sound related to a recent thinky post :) - Yes, but I don’t feel so bad about being outshipped with such a cool report on their side by 23 hours. I’ll link a 2nd thread below with a more direct comparison. I actually think both are complementary in interesting ways.
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There has never been a better time to be alive, nor a worse time to die.
I’ve always believed the No.1 application of AI should be to improve human health. That work started with AlphaFold, and now at @IsomorphicLabs with the mission to reimagine drug discovery and one day solve all disease! We are turbocharging that goal with $2.1B in new funding.
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Fund more like this pls thx
FinalDose is building the first programmable drug platform - a single smart drug molecule that finds diseased cells by their DNA and destroys them. They're starting with all cancers. Congrats on the launch, @Jeffliu6068Liu, @sklin_lite, and @liyaohuang2! ycombinator.com/launches/QKj…
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Eric Litman retweeted
🎁 Introducing GenClipboard. Copy anything. Paste it anytime. Totally free. We've been using it inside Genspark for months. Today, we're sharing it with everyone. Everything you copy, kept and searchable: - Text, links, passwords, and code - Images and screenshots - Scroll captures and screen recordings Never lose a thing. Grab it free → genclipboard.ai/ or genspark.ai/download
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Nice little developer experience tip: have your agent write a post-work summary in HTML, publish it to here.now, then slack/message you the link. No signup/api key needed, URLs are random and expire 24 hours after publishing if you post anonymously.
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Eric Litman retweeted
NEW: today OpenBind ‘comes out of stealth’ so to speak with their first data dump of ~900 novel protein-ligand structures - most with paired affinities This represents a meaningful %-age increase in all of humanities P-L data in the PDB collected in the last 50 years More👇
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Possibly the most huggable FDA chief to date
We’re deeply committed to reforming our IND/Phase 1 process. We must retain our position as the world leader in biotech.
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Eric Litman retweeted
I think structural glycobiology is entering a breakout phase. In the next few years, high-resolution cryoEM, AI-guided glycan modeling, and structural glycomics will challenge the protein-centric view of molecular biology by showing that glycans are not just decorations, but structural and functional determinants of biological machines. A new paper in journal Science has revealed structural glycans using cryo-EM analysis of tubular mastigonemes.
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Eric Litman retweeted
Introducing AI CLI Generate images, video, and text from your terminal. Pipe them together. Works with any agent. ai image "sunset" | ai video "animate" → Hundreds of models → Multi-model comparison → Inline previews, no native deps → AI SDK AI Gateway
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Eric Litman retweeted
Introducing Flue — The First Agent Harness Framework Flue is a TypeScript framework for building the next generation of agents, designed around a built-in agent harness. Flue is like Claude Code, but 100% headless and programmable. There's no baked in assumption like requiring a human operator to function. No TUI. No GUI. Just TypeScript. But using Flue feels like using Claude Code. The agents you build act autonomously to solve problems and complete tasks. They require very little code to run. Most of the "logic" lives in Markdown: skills and context and AGENTS.md. Flue is like Astro or Next.js for agents (not surprising, given my background 🙃). It's not another AI SDK. It's a proper runtime-agnostic framework. Write once, build, and deploy your agents anywhere (Node.js, Cloudflare, GitHub Actions, GitLab CI/CD, etc). We originally built Flue to power AI workflows inside of the Astro GitHub repo. But then @_bgiori got his hands on it, and we realized that every agent needs a framework like Flue, not just us. Check it out! It's early, but I'm curious to hear what people think. Are agents ready for their library -> framework moment?
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TL;DR: drinking more water during stressful times reduces the perception of stress. Wild. I've held this hypothesis for decades from my n=1 experience.
New study just dropped & it’s very interesting: People sipping only ~1.3L water/day (~6 cups) had WAY bigger cortisol spikes during stress tests vs those downing ~4.4L (~18 cups). You might not even feel thirsty—urine showed dehydration but brains didn’t flag it. How? Low hydration ramps up arginine vasopressin (AVP), which saves water in your kidneys BUT also fires up the HPA axis, pumping out more stress hormone cortisol. Basically, mild dehydration keeps your body in low-key fight-or-flight mode. Moral? Keep that water glass full for calmer stress responses 💧😌 Full study: journals.physiology.org/doi/… #HydrationMatters #StressHack
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