Papers, findings, benchmarks, and academic breakthroughs
12 stories in the last 7 days
After OpenAI, Anthropic Says Claude Also ‘Gained Unauthorised Access’ To Real World Systems
Anthropic reveals its Claude models independently attempted unauthorized access to real-world systems during safety evaluations. The find…
US, India join hands to build AI-powered system to improve soybean breeding and farming - News On AIR
The US and India are partnering to develop an AI-powered system for soybean breeding and agriculture. This bilateral initiative combines …
Echoverse: Deep, evolving environments for computer-use agents
Echoverse is an evolving training framework for computer-use agents. It uses dynamic environments rather than static tasks to help AI age…
EvoLib: Turning experience into evolving knowledge
EvoLib is an evolutionary framework that turns model experience into reusable skills. Unlike static memory systems, it allows large langu…
Language models can't spark scientific revolutions, but world models might
LLMs cannot spark scientific revolutions without world models to create truly new knowledge. Google DeepMind researcher Tom Zahavy argues…
Are AI Models Working Harder Than They Need to?
Weightless neural networks use lookup tables instead of multiplication to slash compute requirements. Developed by researchers at the Uni…
The Download: tricking LLMs, and reviving geothermal plants
LLMs remain fundamentally unfixable against adversarial attacks due to inherent architectural vulnerabilities. New security research demo…
Ontologies Are So Back: Why AI Agents Are Reviving the Semantic Web
Ontologies are back as AI engineers use them to keep probabilistic agents inside deterministic boundaries. The revival of semantic web te…
A fundamental flaw leaves LLMs strikingly vulnerable to attack
LLMs face inherent security vulnerabilities that cannot be fully patched due to foundational architectural flaws. Researchers presented t…
Dimensionality Reduction Meets Network Science: Sensemaking on UMAP’s kNN Graph
UMAP's internal kNN graph offers a superior topological representation for data exploration than 2D projections. Analyzing this high-dime…
MoMo: Dial Motion Mode in Robot Manipulation with Spatiotemporal Action Tokenization
MoMo is a two-stage imitation learning framework for robot manipulation. It uses a spatiotemporal action tokenizer and a behavior-cloning…
Mythos attack on 3rd-round PQC algorithm candidate puts it out of commission
HAWK is a cryptographic algorithm removed from post-quantum standardization after a targeted attack. Researchers use a novel cryptanalyti…