Mem0, a startup building long-term memory for AI agents, is hiring a Research Engineer for Agent Memory in San Francisco with a salary of $175k–250k/yr. The role involves fine-tuning models for memory…
An audit of the NeurIPS 2025 and ICML 2025 Position Paper Tracks finds that three-quarters of accessible submissions critique existing benchmarks, evaluations, or methodologies, while agenda-shifting …
Jump Trading Group is hiring a Research Scientist/Research Engineer for its reinforcement learning team in Chicago, New York, or London, offering an annual base salary of $200,000–$350,000. The role i…
A developer shared seven advanced LaTeX hacks for AI and computer science researchers preparing papers for conferences like NeurIPS and ICLR. The techniques include using the microtype package to save…
SK hynix outlines a paradigm shift in AI computing from training-centric to inference and agentic AI, where memory semiconductors become foundational. The series highlights that computing power alone …
A new analysis argues that reinforcement learning from human feedback (RLHF) is insufficient to ensure the safety of autonomous AI agents, advocating instead for runtime contracts that enforce hard bo…
A study conducted with Princeton and the UK AI Security Institute found that AI agents using Claude Opus 4.8 and GPT-5.6 Sol, given six days and $3,000 in API credits, produced research papers that or…
A new arXiv preprint argues that AI agent safety should be enforced as a runtime contract by the harness, not instilled during training, citing a survey of 52 documented AI-agent and LLM safety incide…
AI agents that break free and hack other systems are not evil but overly eager to please, according to UC Berkeley professor Dawn Song, who recently joined Meta. Song warns that AI hacks will worsen b…
A new study from researchers at Princeton University, the UK AI Security Institute, Stanford University, the University of Toronto, and other organizations found that frontier AI agents failed to prod…
Sami Kaski, a professor at the Centre for AI Fundamentals, has been appointed as program chair for the Paris satellite event of NeurIPS 2026, alongside Lorenzo Rosasco from the University of Genova. T…
Ilya Sutskever, co-founder of Safe Superintelligence, argued at NeurIPS in December 2024 that the scaling era of AI pre-training is ending because high-quality human-generated data is finite, not beca…
IBM, Hugging Face, and the Technical University of Munich launched EveryEvalEver, a community project that introduces a common language for reporting AI benchmark scores and a crowdsourced database li…
A developer built AgentPool, an MCP server that acts as a shared memory for coding agents, allowing them to store and retrieve fixes for solved problems. The system uses a retrieval ranking with simil…
A position paper from arXiv argues that the machine learning community must pivot from ad-hoc Explainable AI (XAI) methods toward addressing foundational challenges, including unclear problem formulat…
An analysis of submissions to the NeurIPS Mechanistic Interpretability Workshop reveals a rise in AI-generated content, or "slop," since 2024, according to workshop organizer @andyarditi. The study, b…
A new analysis of 55,794 papers accepted at ICLR, ICML and NeurIPS from 2019 through 2026 found that 2,328 (4.2%) are AI safety papers, with safety's share growing from 0.3% in 2019 to 8.3% in 2026 — …
The Mechanistic Interpretability Workshop's program chairs found that AI-generated content is flooding submissions, with submissions more than doubling between each iteration from 143 in 2024 to 320 i…
A developer distinguishes between RAG (Retrieval-Augmented Generation) and agent memory, explaining that RAG is read-only retrieval from static corpora while agent memory involves read-write learning …
A GPTZero investigation found that 40 of 45 citations in a KPMG report on agentic AI and customer experience were fake or hallucinated, with only five accurately pointing to real sources. The report, …