Image created with gemini-2.5-flash-image with claude-sonnet-4-5. Image prompt: A glowing DNA double helix spiral where the base pair rungs are composed of tiny alternating black and white chess pieces, set against a deep navy space filled with floating molecular structures, bioluminescent blue and green lighting, scientific and elegant composition, macro photography style with shallow depth of field.
Today in @Nature, we published a breakthrough demonstration of verifiable quantum advantage using a measurement known as out-of-time-order correlator (OTOC), or Quantum Echoes. Performed on our Willow chip, it paves a path toward real-world applications → https://x.com/GoogleQuantumAI/status/1981016219340648778
New breakthrough quantum algorithm published in @Nature today: Our Willow chip has achieved the first-ever verifiable quantum advantage. Willow ran the algorithm – which we’ve named Quantum Echoes – 13,000x faster than the best classical algorithm on one of the world’s fastest https://x.com/sundarpichai/status/1981013746698100811
The Quantum Echoes algorithm breakthrough https://blog.google/technology/research/quantum-echoes-willow-verifiable-quantum-advantage/
We’re launching our Claude for Life Sciences initiative today, including new bioinformatics Skills, and new MCPs from @benchling, @BioRender, PubMed, @WileyGlobal, @Sagebio, @10xGenomics and more: https://x.com/mikeyk/status/1980311408576458764
Claude for Life Sciences \ Anthropic https://www.anthropic.com/news/claude-for-life-sciences
New GitHub repo for Claude for Life Sciences https://x.com/scaling01/status/1980297805911712107
We’re building tools to support research in the life sciences, from early discovery through to commercialization. With Claude for Life Sciences, we’ve added connectors to scientific tools, Skills, and new partnerships to make Claude more useful for scientific work. https://x.com/AnthropicAI/status/1980308459368436093
OpenAI’s ‘embarrassing’ math | TechCrunch https://techcrunch.com/2025/10/19/openais-embarrassing-math/
OpenEvidence, the ChatGPT for doctors, raises $200M at $6B valuation | TechCrunch https://techcrunch.com/2025/10/20/openevidence-the-chatgpt-for-doctors-raises-200m-at-6b-valuation/
We have a few early examples of AI producing novel science, but it can be hard to tell when this is happening as AI has also gotten very good at searching for answers, often finding obscure solutions To be clear, this is also a very useful capability, but separate from discovery”” / X https://x.com/emollick/status/1979282968838574113
Across most medical benchmarks, including when real cases & human doctors are involved, there is a clear trend of AI models improving over time (and many where today’s AI beats human doctors) But we do not have many studies measuring real-world performance of AI in medicine, yet https://x.com/emollick/status/1980474407656227258
Cool math insight on Weisfeiler–Lehman color refinement and Attention. Really nicely done!”” / X https://x.com/_arohan_/status/1981546840454811747
Because life’s too short for bad research papers. https://x.com/fdaudens/status/1979917544711442917
Introducing Tahoe-x1 (Tx1) by @tahoe_ai. A 3-billion-parameter, single-cell foundation model that learns unified representations of genes, cells, and drugs, achieving state-of-the-art performance across cancer-relevant cell biology benchmarks, open-sourced on @huggingface. 🧵 https://x.com/nalidoust/status/1981760790551298524
We are in the “”gentleman scientist”” era of AI research https://www.seangoedecke.com/ai-and-informal-science/
This is an interesting set of academic research papers about the increasingly key debate of when AI should be used to label data (an expensive task we use humans for) Yang et al show that AI answers are quite different than human, but Briggs finds it may be because AI is better https://x.com/emollick/status/1980476586437799990
Anthrogen https://www.anthrogen.com/odyssey-launch
I think the “Erdos problem” blowup obscured the fact that multiple math professors have confirmed recently that yes, AI really can solve some open (but not yet major) problems in mathematics, with guidance The question is whether the ability of these models continues to increase”” / X https://x.com/emollick/status/1980801216729759934
The fallout from the fact that data science/classical machine learning & generative AI are both called “”AI”” has been remarkably broad & persistent. Policy addresses the wrong harms, companies have been confused about who should lead efforts, academic discussion is often muddled.”” / X https://x.com/emollick/status/1981000395137921071
MEG-GPT: A transformer-based foundation model for magnetoencephalography data MEG is another noninvasive neuroimaging technique similar to fMRI. Don’t think I’ve seen a large-scale foundation model for this type of data yet, very interesting! “”we introduce MEG-GPT, a https://x.com/iScienceLuvr/status/1980945270369399234
