Using AI to identify a new target for engineered T cells (CAR T) with proof-of -concept in experimental models in vivo
AI
-
MIT’s CALM helps robots stay on task after disturbances
By
–
Even when a robot is doing predictable, everyday tasks, it can struggle to adjust to disturbances like collisions. MIT’s "CALM" helps them stay on task by tracking the motions of a few human demos & averaging them into a path that’s easy to stick to: https://
bit.ly/3SY1dff -
Chatbot era over, agentic systems emerging, skills standardize AI use
By
–
This is a fascinating and important set of data which shows us where things are going, using OpenAI as a canary in the coal mine. The chatbot era is over, and agentic systems are coming to tasks beyond engineering. And skills show promise as a way to standardize AI use in firms.
-
Funny AI ad made with Hyperagent for just $200 in tokens
By
–
An actually funny AI ad! + doing this 100% in @hyperagentapp for just 200 bucks in tokens is pure genius
-
Forty years of wrong energy forecasts due to Industrial Intelligence scale
By
–
For forty years, every major energy forecast has been wrong.
— Nina Schick (@NinaDSchick) 25 juin 2026
We failed to grasp the scale of Industrial Intelligence: what it really takes to build, power, and keep a general intelligence “on” as a permanent utility that permeates the entire economy.
You see this now in the… pic.twitter.com/p2QxNXHgslFor forty years, every major energy forecast has been wrong. We failed to grasp the scale of Industrial Intelligence: what it really takes to build, power, and keep a general intelligence “on” as a permanent utility that permeates the entire economy. You see this now in the
-
Why users are switching from OpenClaw to Hyperagent
By
–
why ppl are ditching OpenClaw for Hyperagent: OpenClaw: You're the weekend sysadmin, updates wipe your agent's memory, takes weeks to wire up. Hyperagent: Runs in browser, durable memory, migrates in minutes ↓
-
Tapered LMs: Early layers write more, later layers refine
By
–
“Tapered Language Models” Most LMs give every layer the same MLP width, but the paper shows this is probably wasteful. Early layers seem to write more new information into the residual stream, while later layers mostly refine what is already there. So instead of making the
-
Help Eyal critique running LLM inference in browser
By
–
who wants to help eyal poke holes in this approach to run LLM inference… in browser?
-
Google reorganizes AI coding strike team into midtraining group
By
–
Google is reorganizing its AI coding strike team as it tries to close the gap with Anthropic in one of the most lucrative parts of the AI market. According to The Information, the months-old team is being expanded into a more formal "midtraining" group, sitting between
