Brainstorming with frontier AI models in more open ended domains (like bio that do not have closed verifiable loops) that you have deep expertise in, really showcases the pretense of understanding that they display. 1/— Anshul Kundaje (@anshulkundaje) September 25, 2026
Anshul Kundaje on Twitter / X
Excellent post by Rachel Thomas in the ways AI hype is outrunning reality in life scienceshttps://t.co/oAqoWaJlIb pic.twitter.com/6psP5ZAyOF— Anshul Kundaje (@anshulkundaje) March 17, 2026
Pacing the Frontier
A statement from over 1000 employees of frontier AI companies
OpenAI launches new AI model for life sciences research
Researchers are drowning in data. AI could help.
Why A Neurotech VC Bet On Anthropic: Intelligence, Interpretability, and the NeuroAI Stack — Kaleida Capital
Why would a neurotech VC bet on Anthropic? This article examines how frontier AI, neuroscience, model behavior, and intelligent systems intersect within Kaleida Capital’s NeuroAI thesis and the infrastructure shaping next-generation intelligence.
Frontier Pre-training at Microsoft AI | Microsoft AI
In June, we announced MAI-Thinking-1, a general-purpose foundation model post-trained on top of MAI-Base-1 with strong reasoning performance. We’ve recently completed pre-training our new state-of-the-art model, MAI-Base-2, an MoE foundation model with 80 billion active and 2.8 trillion total parameters.
Open-world evaluations for measuring frontier AI capabilities
Introducing CRUX, a new project for evaluating AI on long, messy tasks
Is there something it is like to be an AI?
Posted on Wednesday 2 Jul 2025. 1,593 words, 6 links. By Matt Webb.
JUMPERZ on Twitter / X
karpathy is showing one of the simplest AI architectures that actually works..dump research into a folder, let the model organise it into a wiki, ask questions, then file the answers back in.the real insight is the loop...every query makes the wiki better. it compounds.. now… https://t.co/vRhImgTQuN pic.twitter.com/Uq2D3ONvGT— JUMPERZ (@jumperz) April 2, 2026
Home – Next Frontier AI
Next Frontier AI is run by SPRIND – the German Federal Agency for Breakthrough Innovation. Think of SPRIND as a state-backed deep-tech fund and company builder: we deploy public money with a venture mindset, take real technical risk and are explicitly mandated to try things that can fail.
Itai Yanai on Twitter / X
Unpopular opinion: Going straight to AI limits your creatively, because it short-circuits the iterative process you need to develop new ideas. pic.twitter.com/O2iPs0bfh0— Itai Yanai (@ItaiYanai) June 20, 2026
Arvind Narayanan on Twitter / X
I had the honor of giving a keynote at the International Conference on Machine Learning in Seoul last week titled “What will be left for us to work on?” I addressed the widespread anxiety about how we should adapt as AI capabilities increase. I was thrilled by the talk’s… pic.twitter.com/GEq0q6hEM0— Arvind Narayanan (@random_walker) July 13, 2026
– Next Frontier AI
Next Frontier AI is run by SPRIND – the German Federal Agency for Breakthrough Innovation. Think of SPRIND as a state-backed deep-tech fund and company builder: we deploy public money with a venture mindset, take real technical risk and are explicitly mandated to try things that can fail.
A Short Guide to Data Strikes and Conscious Data Contribution in the Context of 2026 Frontier AI
Back to the basics of data leverage.
A significant portion of my work, for several months now, has been focused on AI. Specifically, understanding use of AI in healthcare and in public benefit determinations. So I've extensively used 'frontier models' from Anthropic and OpenAI as well as the Chinese models. I've used Grok a bit. 🧵
