yes. pretty crazy coming from anthropic's ceo.
RESEARCH
-
Chinese Developers May Replicate Anthropic Mythos Within Months
By
–
This is insane. Open Source Mythos from China may drop sooner than you THINK. Anthropic CEO suspects that Chinese devs will be able to replicate Mythos within next 6 to 12 months.
-
Vibe Coding Nairobi Map Research Project Exploration
By
–
Had fun today vibe coding a Nairobi map research project.
-
Academia’s Failure to Adapt: The Titanic Moment
By
–
These are all great recommendations. They could have all made a big difference if they had been implemented a couple of decades ago. I’m afraid it’s a bit too late in the day for any meaningful changes when it comes to Academia. Titanic has hit the iceberg a while back, but it’s
-
Hermes Model Performs Well for Open Source Applications
By
–
It works great on @NousResearch
's Hermes. -
Agentic AI Enhances Output Faithfulness Through Explainer Techniques
By
–
Nice work using agentic AI to promote faithfulness of output. See Michael's explainer thread
-
AI Identifies Blood Stem Cell Clones Mechanism in Aortic Aneurysms
By
–
We don't measure blood stem cell clones (CHIP) in the clinic. But some are linked with fast, expanding abdominal aortic aneurysms, identification of an underlying mechanism, and a potential preventive treatment @jclinicalinvest https://
jci.org/articles/view/
206748
… -
Infrastructure foundations critical before advancing energy AI models
By
–
The models will follow, but only if the ground they stand on is solid. Infrastructure problems come before model problems in energy AI.
-
Parcae Scaling Laws: Recurrence Approach for Stable Language Models
By
–
"Parcae Scaling Laws For Stable Looped Language Models" LLMs usually scale with more parameters or more data. But this paper scales a new axis for transformers through recurrence. So instead of making the model bigger, it reuses the same Transformer layers multiple times.
-
DROID-W: Robot Vision System Maps Rooms With Moving People
By
–
How can a robot map a room full of moving people? Researchers from ETH Zurich & Microsoft present DROID-W, a new vision system that tackles dynamic scenes. It uses "uncertainty-aware" adjustment, meaning it spots moving pixels by checking for visual inconsistencies across