DeepSeek’s conditional memory fixes silent LLM waste: GPU cycles lost to static lookups

Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...
NextBigFuture

LLM Scale and Solving of Programming as a Path to Superintelligence

Yann LeCun’s argues that there are limitations of chain-of-thought (CoT) prompting and large language model (LLM) reasoning. LeCun argues that these fundamental limitations will require an entirely ...
The Manila Times

LLM.co Releases Report Warning Most Companies Will Regret Public LLM Adoption

New research outlines how convenience-first AI decisions are creating long-term security, compliance, and operational risk.
Nature

‘Fighting fire with fire’ — using LLMs to combat LLM hallucinations

Text-generation systems powered by large language models (LLMs) have been enthusiastically embraced by busy executives and programmers alike, because they provide easy access to extensive knowledge ...