Tech Times

LLM Data Mixture Breaks When Training Pools Shift: Causal Inference Offers Fix

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.
MIT Technology Review

LLMs are stuck in a groupthink groove. This startup is trying to get them out.

Chatbots are far more predictable in their responses than you might expect. That's fine for research or coding, but it's a ...

Computer scientists develop a new AI tool that rivals AlphaFold 3 in mapping RNA

The same family of artificial intelligence that powers today's image generators is now being aimed at one of biology's ...
GitHub

Reverse Engineering: Decompiling Binary Code with Large Language Models

During compilation, the Preprocessor processes the source code (SRC) to eliminate comments and expand macros or includes. The cleaned code is then forwarded to the Compiler, which converts it into ...
The Robot Report

We know how to build smarter robots. Now, we need to learn smarter ways to test them

Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that ...
Tech Times

NVIDIA AI Trained Itself on a 30B Model: Corrected Its Own Broken Metric Mid-Run

Autonomous AI post-training reached frontier scale for the first time: NVIDIA researchers published a paper showing an AI ...
GitHub

neural networks to learn Koopman eigenfunctions

Clone respository. In the data directory, recreate desired dataset(s) by running DiscreteSpectrumExample, Pendulum, FluidFlowOnAttractor, and/or FluidFlowBox in Matlab (or download the datasets from ...