Very excited to share @theworldlabs ‘s latest research work RTFM!! It’s a real-time, persistent, and 3D consistent generative World Model running on *a single* H100 GPU! Blog and live demo are available below!
MACHINE LEARNING
-
AI Systems Making Novel Scientific Discoveries with Scaling Laws
By
–
The ‘novel’ discoveries from AI systems are starting to trickle in — something many skeptics thought impossible. With Google also finding that “biological models follow clear scaling laws,” we could be in for an absolutely wild period of scientific progress.
-
C2S AI System Discovers Compounds to Enhance Tumor Immunotherapy
By
–
The C2S AI system reads cellular data like a language, capturing how individual cells will behave and respond to treatments. Researchers tasked the system with finding compounds that can make tumors more visible to the immune system, but only when certain signals were present
-
AI Identifies Seven Organ Clocks Using MRI Imaging
By
–
Identifying and validating 7 organ clocks based on MRI
-
Prescriptive AI Detects Hidden Faults in Process Industries
By
–
Missed fault ≠ late alert.
Missed fault = seven-figure loss.
In #processindustries, resilience means seeing what others can’t. https://
buff.ly/fUaCQLV #sponsored #infinite_iiot #prescriptiveAI @InsightBrief @IIoT_World via @fogoros -
AI21Labs joins JFrog MLOps Days with efficient models talk
By
–
We’re joining @jfrog
's MLOps Days on Oct 22 in Tel Aviv! Catch @CohenShuki
, VP of Data at @AI21Labs
, sharing how small, efficient models are powering real-world AI. Oct 22 | 16:00–19:00 JFrog HQ, Tel Aviv https://
events.jfrog.com/mlops-days-tel
-aviv/
… -
CMU Advanced Courses: NLP, Inference, and LLM Systems
By
–
Exactly the same 2 courses I thought seeing the post. There are more across other schools, look at:
– advanced NLP at CMU(
https://
youtube.com/playlist?list=
PLqC25OT8ZpD2-RuhyacIsODl5iJVgMjI3
…)
– new inference class of its kind in academia CMU (
https://
youtube.com/playlist?list=
PL8PYTP1V4I8DY15Ob83nmwBAVyNtUQadX
…)
– LLM systems CMU(
https://
llmsystem.github.io/llmsystem2025s
pring/
…)
– large -
Nanochat d32 training completes with strong metrics improvement
By
–
nanochat d32, i.e. the depth 32 version that I specced for $1000, up from $100 has finished training after ~33 hours, and looks good. All the metrics go up quite a bit across pretraining, SFT and RL. CORE score of 0.31 is now well above GPT-2 at ~0.26. GSM8K went ~8% -> ~20%,
-
Learning Symbolic World Models from Unguided Exploration
By
–
One Life to Learn
— AK (@_akhaliq) 15 octobre 2025
Inferring Symbolic World Models for Stochastic Environments from Unguided Exploration pic.twitter.com/Vcapsrcg1VOne Life to Learn Inferring Symbolic World Models for Stochastic Environments from Unguided Exploration
-
LangSmith Tracing: Exploring Run Types for LLM Debugging
By
–
Unlike traditional logs (or traces), which can be hard to interpret for LLM applications, LangSmith makes it easy to explore and debug with an intuitive, purpose-built UX.
Learn about the different types of runs you can create while tracing in LangSmith—and how they help you