Ethan B. Holland

“NEW: Google introduces AI co-scientist. It’s a multi-agent AI system built with Gemini 2.0 to help accelerate scientific breakthroughs. 2025 is truly the year of multi-agents! Let’s break it down: https://x.com/omarsar0/status/1892223515660579219

“Some breakthroughs change everything. We just took a major step toward making quantum computing a reality, unlocking the power to solve problems beyond what today’s computers can handle. From accelerating scientific discovery to reshaping industries, the impact will be massive.” / X https://x.com/yusuf_i_mehdi/status/1892258540460331228

AI Platform for Teaching American Sign Language | NVIDIA Blog https://blogs.nvidia.com/blog/ai-sign-language/

“NVIDIA + Arc Institute’s new model Evo 2 just demonstrated that deep learning can directly model biological function It stands as a breakthrough in computational biology, 🧵 1/n Evo 2 just redefined genomic modeling by processing over 9 trillion nucleotides to seamlessly https://x.com/rohanpaul_ai/status/1892383673887985738

AI cracks superbug problem in two days that took scientists years https://www.bbc.com/news/articles/clyz6e9edy3o

AI system predicts protein fragments that can bind to or inhibit a target | MIT News | Massachusetts Institute of Technology https://news.mit.edu/2025/ai-system-fragfold-predicts-protein-fragments-0220

“We are starting to see what “AI will accelerate science” actually looks like. This Google paper describes novel discoveries being made by AI working with human co-scientists (something I think we have all been waiting to see), along with an early version of an AI scientist. https://x.com/emollick/status/1892269913894420743

Accelerating scientific breakthroughs with an AI co-scientist https://research.google/blog/accelerating-scientific-breakthroughs-with-an-ai-co-scientist/

“Google’s new “co-scientist” solved a complex microbiology problem in 48 hours, a task that took researchers at Imperial College London a decade to complete. Professor José R. Penadés tested the AI with a hypothesis about superbug resistance, and it correctly identified the https://x.com/rohanpaul_ai/status/1892746665225826321

“Baichuan-M1 – Opensources SotA medical LLM (Baichuan-M1-14B) – Trained from scratch on 20T tokens with a dedicated focus on enhancing medical capabilities https://x.com/arankomatsuzaki/status/1892053102427300212

“”we’ve created an entirely new state of matter” :O” / X https://x.com/jeremyphoward/status/1892250092800791009

Manuscript | Arc Institute https://arcinstitute.org/manuscripts/Evo2

Neuronics Medical – Minimize long-term effects of stroke https://neuronicsmedical.ai/

Satya Nadella on X: “A couple reflections on the quantum computing breakthrough we just announced… Most of us grew up learning there are three main types of matter that matter: solid, liquid, and gas. Today, that changed. After a nearly 20 year pursuit, we’ve created an entirely new state of https://t.co/Vp4sxMHNjc” / X
https://x.com/satyanadella/status/1892242895094313420

“Fully open-source 40B model for genome modeling and design across all domains of life by my colleague @MichaelPoli6 and team It also comes with a new StripedHyena 2 architecture.” / X https://x.com/maximelabonne/status/1892256596136165535

“Nice to see some progress on establishing solid methodology for integrating LLMs into research as subjects as well as tools.” / X https://x.com/emollick/status/1891888205575737768

“I generally agree with this caveat, but… … I have now spoken with C-level leaders & lawyers, who assigned teams to check Deep Research. They found few flaws & fact checking took much less time (and less skill) than was saved by AI. That seems to be a critical tipping point.” / X https://x.com/emollick/status/1890059615796355475

“Say goodbye to token-based reasoning! Say hello to reasoning in continuous latent space! On a serious, this is a paper worth reading as a lot of research efforts continue to explore efficient reasoning methods. Summary below: This work introduces a latent recurrent-depth https://x.com/omarsar0/status/1890506648772571452

“Deep Research for helping navigate a medical issue:” / X https://x.com/gdb/status/1890999183349297275

“3 things that I’ve been using to help Deep Research along 1. Chat before you run the search: The more context you can add by chatting back and forth, the better. Humans are still really bad at putting all the context down first-try into a chatbox. Ask your coworkers.” / X https://x.com/hrishioa/status/1891350088527835137

“They’re using quarternions for generating proteins now… “Experiments show that ReQFlow achieves state-of-the-art performance in protein backbone generation while requiring much fewer sampling steps and significantly less inference time” https://x.com/iScienceLuvr/status/1892885053581279554

The Ultra-Scale Playbook – a Hugging Face Space by nanotron https://huggingface.co/spaces/nanotron/ultrascale-playbook

“The challenge in mathematical reasoning with LLMs lies in effectively training them with sparse outcome-based rewards. This paper addresses how to optimize LLMs for complex math problems using only binary correctness feedback. Introduces OREAL, an Outcome REward-based https://x.com/rohanpaul_ai/status/1892178925100413367

“Predicting the outcomes of March Madness is not a really strong use case for a Deep Research model. Doesn’t play to what they do well.” / X https://x.com/emollick/status/1891711435727659038

[2502.09954] On Space Folds of ReLU Neural Networks https://arxiv.org/abs/2502.09954

“I would love a clear-cut analysis of why SFT on a dataset with 99.9% math boosts your GPQA score from 45.30% -> 62.02% Is the base model just not great at math? Or is a lot of the GPQA Diamond dataset just math-adjacent?” / X https://x.com/casper_hansen_/status/1891518246047686976

Exploring the structural changes driving protein function with BioEmu-1 – Microsoft Research https://www.microsoft.com/en-us/research/blog/exploring-the-structural-changes-driving-protein-function-with-bioemu-1/

“congratulations to the microsoft quantum team! https://x.com/stevenheidel/status/1892274904638058609

“Meta FAIR researchers, in collaboration with @bcbl_ are sharing two breakthroughs that show how AI can help advance our understanding of human intelligence. 1️⃣ Research that successfully decodes the production of sentences from non-invasive brain recordings. 2️⃣ A study toward https://x.com/AIatMeta/status/1890464494972964971

“Meta’s AI can now read your mind with 80% accuracy, no implants needed! Using non-invasive brain activity recordings (MEG & EEG) from 35 participants as they typed, Meta trained an AI to reconstruct sentences. This is life-changing for people with brain lesions. AI was https://x.com/Yuchenj_UW/status/1891560033193955795

Exploring the structural changes driving protein function with BioEmu-1 – Microsoft Research https://www.microsoft.com/en-us/research/blog/exploring-the-structural-changes-driving-protein-function-with-bioemu-1/