A cutting-edge 3D-printed antenna has been developed to enable more strong, flexible wireless electronics. bit.ly/4hmdHWp
A new cryo-electron imaging system reveals how brain cells exchange signals in milliseconds, unifying decades of competing theories. bit.ly/4qmX4hj
We are not yet at novel science done autonomously by AI, but we are absolutely at “work with it like a grad student and it can help you accelerate your work” levels of AI for many of my fellow academics (and myself).
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
I used ChatGPT to solve an open problem in convex optimization. *Part I* (1/N)
We're not afraid of AI. We're disgusted by it. Any artist worth their salt sees AI for what it is: a bastardization of what art truly is. A cheap, flavorless imitation drawn not from any authentic or unique perspective, but a shapeless amalgamation lacking in any true identity.
I'll just repeat the truth: Only bad artists are afraid of AI, and the anti-AI people are worse than the people who shill AI.
Big step for AI in eye care: a deep learning model (MORG) can auto-generate retinal OCT reports nearly as accurate as ophthalmologists—while cutting reporting time by ~59%. Could reshape how we manage Diabetic Retinopathy & more nature.com/articles/s4174…
5 Lectures and keynotes defining AI right now ▪️ @karpathy: Software Is Changing (Again) ▪️ @RichardSSutton: The OaK Architecture: A Vision of SuperIntelligence from Experience ▪️ GTC March 2025 Keynote with NVIDIA CEO Jensen Huang ▪️ @ylecun "Mathematical Obstacles on the Way…
The "slop era" of scientific discovery. How many slop solutions to scientific problems will be hailed as "exciting new discoveries" just because they were spit out by an AI? Excessive faith in technology is what ends up ruining science.
We are entering the "slop era" of AI for scientific discovery. Too much will be packaged as novel breakthroughs, cures to intractable diseases or solutions to unsolved problems, purely to chase attention and virality. Time and history will be the ultimate judge.
ai is smart enough to produce thousands of plausible but untrue theories that’s why ground truth verification signal is critical be skeptical of automating difficult/slow to verify sciences like astrophysics or cancer pharmacology be bullish on highly verifiable sciences
We are entering the "slop era" of AI for scientific discovery. Too much will be packaged as novel breakthroughs, cures to intractable diseases or solutions to unsolved problems, purely to chase attention and virality. Time and history will be the ultimate judge.
The study proves that tiny quantum engines can beat Carnot's limit, hinting at nanobots powered by atomic motors. bit.ly/4nSGrs1
The CFS-DeepMind partnership is leveraging reinforcement learning AI to control and optimize the superhot plasma. bit.ly/47ryWCJ
AI-generated Reddit Answers are giving bad advice in medical subreddits and moderators can’t opt out. 🔗 404media.co/reddit-answers…
As AI agents get better at computer and tool use, or writing code on the fly for a task, we're going to be able to solve much broader domains of knowledge work. Here's an example of Box AI with the new Claude Skills to generate a clean powerpoint file from existing data.
The shape of things to come: @Google as scientist benefitting humanity and being creative with new ideas for cancer decrypt.co/344454/google-…
Wake up call from CEO of Pfizer on China’s increasing dominance in pharma innovation “They [China] filed more (drug) patents this year than the U.S.,” Bourla said. “That’s never happened in history. Five years ago, the split was 90%-10%. ... The gap is closing, but they…
CEOs of Wells Fargo and Pfizer caution the U.S. could lose its edge to China without innovation cnbc.com/2025/10/15/wel…
Google just entered the virtual cell era. 🧬🤖🔥 Their C2S-Scale model shows LLMs can reason about cells — even uncover new cancer biology. This aligns with our recent BioReason work combining language LLMs with DNA foundation models. Together, we’re pushing the frontier: cell…
An exciting milestone for AI in science: Our C2S-Scale 27B foundation model, built with @Yale and based on Gemma, generated a novel hypothesis about cancer cellular behavior, which scientists experimentally validated in living cells. With more preclinical and clinical tests,…
Beautiful work from @sundarpichai @demishassabis and team with open weights on HF: huggingface.co/vandijklab/C2S… I'm so excited about the application of AI for biology and chemistry, especially in the open like this for all to benefit!
An exciting milestone for AI in science: Our C2S-Scale 27B foundation model, built with @Yale and based on Gemma, generated a novel hypothesis about cancer cellular behavior, which scientists experimentally validated in living cells. With more preclinical and clinical tests,…
Somehow, the way paper folds and the way particles collide produce the same geometric shape. quantamagazine.org/origami-patter…
When is Python, Rust or Go a great choice as a language - especially if deciding which one to build an AI startup with? Here's @mitsuhiko comparing the three languages. Full video: youtube.com/watch?v=45kVol… (YouTube) open.spotify.com/episode/0dg3Sc… (Spotify)
An attorney in a New York got caught using AI in his filings, and then got caught using AI again in the brief where he had to explain why he used AI, according to court documents filed earlier this month. 🔗 404media.co/lawyer-using-a…
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