Every week, I organize 400 to 700 links into roughly 60 categories as part of my ongoing effort to learn about AI. This is my personal notebook, which I enjoy sharing with friends… a hobby and a labor of love, rather than a commercial publication or product.
If you arrived here through a search or shared link, this page collects the links I found for Science and Medicine for the week ending September 4, 2026.
As part of my learning process, I like to automate the category covers. It gives me a chance to learn Python and APIs.
This week’s cover prompt was written using Claude Opus 4.7, and the image was generated using Nano Banana 2.1.
Category Cover Image Prompt: A vertical psychedelic screen-print gig poster of a giant Erlenmeyer flask erupting with swirling DNA helices, molecular diagrams, and orbiting electrons that bloom into op-art spirals, surrounded by an ornate border of beakers, constellations, and falling autumn leaves, with the bold hand-lettered title SCIENCE arcing across the top in Fillmore-era psychedelic lettering, flat ink layers in electric magenta, acid orange, deep teal, and lime green on cream paper stock with visible registration offset and paper texture.
This Week in Science and Medicine News
Summary by Claude Sonnet 5.5 based on this week’s links:
- GPT-6 Astra aimed at science: OpenAI pitched GPT-6 Astra as a major step for scientific discovery, citing top scores on Terminal-Bench Science 0.1 and HealthBench Professional. Epoch AI said it also topped its new FrontierMath Erdős benchmark of 68 unsolved problems, and mathematician nasqret described proving statements live in Lean while talking with it.
- Google's WeatherNext 3: Google DeepMind and Google Research released WeatherNext 3, a global weather AI model. Google says it is up to 5x sharper than WeatherNext 2 and adds real-time satellite data, hourly refreshes and precipitation forecasting.
- Biology and health tools: Google researchers and HHMI Janelia mapped the complete brain and central nervous system of an adult male fruit fly. Separately, The Guardian reported an AI tool that spots heart disease in under two seconds, and the gRNAde RNA design work was published in Science.
This summary was generated by Claude Sonnet 5.5 to help you explore the links below. Rest assured, I select, organize, and check the links by hand in Google Sheets, and write the introduction and personal commentary in The Main Newsletters myself each week as a labor of love.
This week's links related to Science and Medicine
So I took a look at the healthcare capabilities results of Fable 5.1 hidden in the model card. They evaluate on HealthBench and HealthBench Professional (healthcare benchmarks developed by OpenAI). The performance is comparable to Fable 5 or Opus 5. GPT 5.6 Sol achieves a
https://x.com/iScienceLuvr/status/2094956500775297148
‘Superhuman’ AI tool spots heart disease in less than 2 seconds | AI (artificial intelligence) | The Guardian
https://www.theguardian.com/technology/2026/aug/31/superhuman-ai-tool-spots-heart-disease
Introducing WeatherNext 3️⃣… our most advanced global weather AI model yet from @GoogleDeepmind and @GoogleResearch With prediction capabilities that are up to 5x sharper than WeatherNext 2, the model generates a forecast with high spatial resolution in order to catch
https://x.com/GoogleAI/status/2095544944190788064
GPT-6 Astra has set a new ECI record, with a score of 169. This is a substantial jump from the prior best (163), but is within our uncertainty range for the reasoning-era ECI trend. Astra also set new records on our math, continual learning, and game-puzzles benchmarks. On our
https://x.com/EpochAIResearch/status/2095602754282783108/photo/1
GPT-6 Astra is our healthiest model yet. ♥️ It sets a new state of the art on HealthBench Professional, our benchmark of real clinician tasks, including care consultations, medical documentation, and research. At its lowest reasoning effort, Astra already surpasses GPT-5.6 Sol’s
https://x.com/thekaransinghal/status/2095608369621139773
Astra has also set the top score on our newest math benchmark, FrontierMath Erdős, which consists of 68 unsolved and especially interesting Erdős problems curated by @thomasfbloom. AI systems are tasked with writing solutions in Lean, a special-purpose programming language for
https://x.com/EpochAIResearch/status/2095602779125629248
For the first time, scientists have mapped the complete brain and central nervous system of an adult male fruit fly … a key model organism in science. 🪰 Working alongside HHMI Janelia Research Campus and the scientific community, @GoogleResearch scientists and researchers used
https://x.com/NewsFromGoogle/status/2095553014715093022
WeatherNext 3 is a major breakthrough in how we forecast global weather. ⛅ Developed with @GoogleResearch, the model learns directly from real-world, real-time observations to give more localized highly accurate predictions faster. 🧵
https://x.com/GoogleDeepMind/status/2095528012791902536
WeatherNext 3: Our most advanced global weather AI model
https://blog.google/innovation-and-ai/models-and-research/google-deepmind/introducing-weathernext-3/
Had to rewrite prompts + memory for a Fable 5 session working on a theoretical math problem to drop a “military campaign” metaphor it adopted early on because it was setting off Fable 5.1 cyber safeguards
https://x.com/kylebrussell/status/2094886149412016359
Huge news for Terminal-Bench-Science!🚨 Only 5 days after launch, Terminal-Bench-Science 0.1 is the #1 featured benchmark on @AnthropicAI’s new Claude Fable 5.1 release. Incredible >2x performance jump: Claude Fable 5 (24.7%) → Claude Fable 5.1 (52.6%) Now it’s on us to
https://x.com/StevenDillmann/status/2094860189493317756
Introducing GPT-6 Astra, our most intelligent and aligned model yet. ✨ 💻 State-of-the-art computer use and software engineering 🔬 New breakthroughs in math and science ✨ Polished documents, spreadsheets and presentations that follow your templates and style Astra scores
https://x.com/reach_vb/status/2095596137721868488
Meet Rosalind Workbench: Empowering every scientist to be their own research team | OpenAI Developers
https://developers.openai.com/blog/rosalind-workbench
This paper does a good job of showing the promise and gaps of autonomous AI scientists. Big question is how much more advanced models close those gaps.
https://x.com/emollick/status/2093747487433478296
GPT-6 Astra is state-of-the-art on FrontierMath Tier 4, ARC-AGI 3, and TerminalBench-4.0. GPT‑6 Astra is also a major advance for scientific discovery, with state-of-the-art performance on Terminal-Bench Science 0.1 and HealthBench Pro.
https://x.com/OpenAI/status/2095595752815030713
Meet Astra’s TikZ unicorn. I find it mind blowing that a single entity can do this, as well as get essentially 100% on Frontier Math Tier 4, ARC-AGI 3, & ExploitBench. And it’s not behind closed doors, anyone can just go and talk to it. Impossible to overstate the implications.
https://x.com/SebastienBubeck/status/2095613557572526563
Was just skimming through the webpages of some of my favorite hard science fiction authors and wow the majority of them hate LLMs: a surprising number of them because they think it is a useless stochastic parrot, some because of IP, and a minority because of existential risk.
https://x.com/emollick/status/2093819069552021740
GPT-6 Astra appears to be a massive jump in opaque reasoning ability: it looks like it can solve hard competition math problems entirely in its head (as in, without verbalized reasoning) while prior AIs could solve basic word problems. This seems extremely concerning! That is,
https://x.com/RyanGreenblatt/status/2095616782124163312
Inverse Rendering for Modeling with Line Primitives” TLDR reconstructs hair, fur, … as explicit line primitives using stochastic diff rasterizer, achieving volumetric-level reconstruction quality while remaining compatible with std rasterization, shading and physics-based sim
https://x.com/Almorgand/status/2095551011775463472
UK AISI Evaluation of GPT-6-Astra – No-CoT math time horizon: “Astra can solve significantly more difficult math problems in a single forward pass than past models. UK AISI measured Astra’s time horizon at 30.9 minutes compared to 3.6 minutes for GPT 5.6 Sol” – CoT
https://x.com/AiBattle_/status/2095598057857614053
GPT-6 Astra has set a new ECI record, with a score of 169. This is a substantial jump from the prior best (163), but is within our uncertainty range for the reasoning-era ECI trend. Astra also set new records on our math, continual learning, and game-puzzles benchmarks. On our
https://x.com/EpochAIResearch/status/2095602754282783108
I’m very late to sharing this news: Deep Learning for RNA design is published in Science and chosen as the cover article! Now over 3 years ago, gRNAde started as a side-project in my CS PhD because I wanted to do something real beyond benchmarks. Its been an amazing journey
https://x.com/chaitjo/status/2095580164201816247
txbench-ab
https://latch.bio/txbench-ab
There’s a fascinating new startup using dogs to detect cancer in human breath In a new trial, the dogs detected it over 90% of the time! How it works: Dognosis has patients breathe into a cotton surgical mask, which is then frozen and shipped to their farm in India. There, a
https://x.com/rowancheung/status/2094451656243265958
Introducing WeatherNext 3! Built by @GoogleDeepMind and @GoogleResearch, this is our most advanced & accurate AI weather model, and now includes real-time satellite data, hourly refreshes, higher resolution, precise precipitation forecasting, and clean energy variables. Read the
https://x.com/GoogleResearch/status/2095591983276540234
GPT-6 Astra is here. We hope it will begin to enable a new generation of entrepreneurship, scientific discovery, and building. We believe it is the best model in the world for computer use, professional work, science, coding, cybersecurity, and more. It took us some extra time
https://x.com/sama/status/2095600005772104059
I tested GPT-Astra on mathematics. It’s a quantum leap. You can talk with the model and prove the statements live in Lean. The feeling is absolutely stunning. You can verify your ideas, compile truth. For a mathematician it feels like finally we arrived in the era where we can
https://x.com/nasqret/status/2095620909583274335
Of all the use cases for GPT-6 Astra, I’m most excited for scientific discovery. We at @OpenAI have not pushed it to its limits on math and science. I look forward to waking up every morning and seeing what new scientific breakthrough someone has made with this model!
https://x.com/polynoamial/status/2095583211950833768
um so where exactly is the GPT-6 Astra release lol
https://x.com/iScienceLuvr/status/2095582479176605951
Channeling my cogsci background, I asked it to build an interactive model of the human brain tracing what happens when you hear “could you pass the salt?” It reasoned through the anatomy on its own using no external assets. You can try it here:
https://x.com/mikeyk/status/2094864472196501940
SMELT: Scaling Laws for Compute-Matched MoE Looped Transformers “We study looping on Mixture-of-Experts Transformers while closely matching per-token FLOPs, total non-embedding parameters, and KV cache. Through a series of ablations, we arrive at a recipe we call SMELT (Sparse
https://x.com/iScienceLuvr/status/2095026196698345481
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