Pretty cool 👀

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…

This is neat but direct Text-to-SQL is not the ideal way in my experience I wrote a post about this in 2025: gavinray97.github.io/blog/ov… tl;dr = Have the LLM generate to an abstract DSL that has dialect-specific codegen implemented This gives the LLM a static, deterministic target and leaves ironing out the right details per-dialect to an implementation detail

Female bodybuilders inspire me the most, because I look at them and go: "If a woman can get this big, even though I have mediocre genetics, I can get that big too!" (Probably not but it's nice to at least tell myself that) 🤡

Together with UC Berkeley we are announcing the laser phase plate - a breakthrough in atomic resolution imaging. This is the brightest continuous wave laser in the world, 100 million times the intensity of the surface of the sun. Phase contrast plays an important role in microscopy, but it was thought close to impossible for electron microscopy, where it would require interfering with an electron beam. Holger Mueller and Robert Glaeser proposed exactly this using a standing wave laser. It has taken over 15 years to make this a reality. Biohub partnered with UC Berkeley and Mueller to support this work and to engineer and build the technology. Contrast has been the critical barrier to achieving atomic resolution imaging of the cell. In cryo-electron tomography, a cellular imaging technology that uses electron microscopy, the low contrast makes it impossible to resolve anything but the largest proteins within their cellular context. The laser phase plate removes that barrier. With advances in AI this breakthrough in contrast will start to open up a new frontier in structural biology, that will allow us to see the molecular machines of the cell, and how they assemble into far more complex and dynamic systems, and understand how they work.

The most infuriating part of the whole Claude Fable 5 debacle is that I've been Cyber Verification Program (CVP) approved since April Yet I cannot say "Hello" to it 🤡

I am skeptical of these new "AI Research" platforms. Decided to test: Apodex vs ChatGPT/Claude/Gemini/Grok/Meta AI (👇Links to each chat result below👇) To my surprise, it was the *best* -- but there's a catch! It runs 8 research steps and gives a final report. Each report has their OWN final answer, and all the info may not survive final synthesis. The best answer came from copy-pasting all 8 into another LLM and asking for a de-duped merge. Ranking: Apodex Merged > ChatGPT 5.5 Pro > Apodex > Gemini 3.1 Flash > Opus 4.8 > Grok 4.3 > Meta AI Apodex (Original): apodex.ai/share/81c5ce00-5f8… Apodex (8-Report Summary): gist.github.com/GavinRay97/e… ChatGPT 5.5 Pro (Deep Research): chatgpt.com/share/e/6a2ac744… Claude Opus 4.8 Extra (Deep Research): claude.ai/public/artifacts/3… Gemini 3.1 Flash Extended: gemini.google.com/share/4cd7… Grok 4.3 Expert: grok.com/share/bGVnYWN5LWNvc… Meta AI (Contemplating): meta.ai/share/c/t0xQlSPJa3

Today, #paperclip is even faster and more reliable. We introduce Paperclip Repos, a git-like layer on our virtual filesystem that makes literature synthesis reproducible verifiable. This enables better grounding and large-scale scientific analysis gxl.ai/blog/paper-repos

New Fable benchmarks from @claudeai

In my "Postgres Weekly" email today, I saw something interesting: "NeonD – OSS @neondatabase-based control plane daemon for Postgres that runs as a single Docker container." Checked out the Github page -- pretty cool! > "It offers S3-based layer durability, instant branching, precise Point-in-time recovery in seconds. Runs as a single Docker container, handles multi-tenant PostgreSQL instances seamlessly." github.com/matisiekpl/neond/

PostgreSQL 19 Beta 1 adds ON CONFLICT DO SELECT. Insert a row. If it already exists, return it. Atomic get-or-create, finally. 👇 #PostgreSQL #SQL

I spent ages 14-16 in a max security juvenile prison, became a felon at 19, lost almost everything to addiction, and later rebuilt my life through software, open source, and a few people who took a chance on me. I've wanted to write this for a while but kept finding reasons not to. Recently, I decided on two things: 1. After seeing @PThorpe92 (@tursodatabase) speak publicly about his own background, I wondered how many others like us were silently lurking in tech 2. I'm far enough in my career with enough contributions to OSS and community involvement, that I think I'll probably be alright I wrote this for anyone quietly wondering whether they have no chance at a future. Below is the much-condensed life story of my struggles with addiction, poverty, and incarceration life after being a felon. My hope is that it serves as encouragement to others who are in similar circumstances that things CAN get better. gavinray97.github.io/blog/bu…

Genetic engineering in human embryos is here. Today, in a world first, @Columbia and @nucleusgenomics announce high-efficiency editing of human embryos. The study, led by Dr. Dieter Egli's lab at Columbia University, with Nucleus Genomics’ Dr. Nathan Treff as a senior co-author, achieved editing efficiencies of up to 100% at targeted loci. Simultaneously, we showed no detectable editing-induced chromosomal abnormalities and low off-target activity. In other words, this is the closest we've come to practical, high-precision gene editing in human embryos. We are also excited to announce we will be funding and participating in the next phase of this research, alongside Columbia and Dr. Egli. We see ourselves as a natural pathway for eventually bringing technologies like this into clinical care as part of a broader genetics platform — a full "Genetic Optimization" stack. @nytimes broke the news in what is a historic moment for Genetic Optimization. See story in thread.

Making my slides for my talk later this evening at @arizeai 's Observe and just took a fresh look at how our company wiki has grown over the last few months. We're now at ~200 edits to context per day across the 70 people at PromptQL! The spike started once we moved our primary place of work to where we capture & curate our context!

Introducing Genomi: an open-source agent harness that turns your AI agent into your personal DNA expert. I took a DNA test years ago. Like a lot of people, I got the report, found something interesting, and forgot about it. Recently I gave the data to my codex agent and it was obvious how incredibly useful DNA is for personal health, but: > General AI can sound right while being wrong > Static DNA reports can’t keep up with new science > DNA data should stay on your local device, not uploaded to a website So we built Genomi, local-first, agent-native, self-evolving, evidence-grounded.

The ToolUniverse plugin for Claude Code is here: 2,000 life-science tools and 120 research skills, with a real source on every answer, installed with one prompt. ToolUniverse already powers a range of AI agents. This plugin brings its full toolset and skill library into Claude Code. What it does: → Claude Code automatically reaches for the right tools and skills to run a full life-science analysis end to end: variant interpretation, RNA-seq differential expression, drug and target lookups, rare-disease workups. Every claim comes back with a real source, instead of from memory. → When accuracy is critical, dedicated commands add discipline: • cross-validate a claim across 3 independent sources • literature-sweep, a graded review across 15 indexes (PubMed, EuropePMC, OpenAlex, and more) • compare, side-by-side tables for drugs, targets, diseases, or variants • research, a step-by-step multi-source investigation • translate-id, resolve an ID across every namespace Install in one step. Paste this into Claude Code and it sets itself up: Read raw.githubusercontent.com/mi… and install the ToolUniverse Claude Code plugin for me. Blog post 👇 aiscientist.tools/posts/tool… @marinkazitnik @ScientistTools @KempnerInst @HarvardDBMI

With UMA playground, the crazy things Feynman could only ask us to imagine become something you can see. Heat, break, and build at aidemos.atmeta.com/uma