A researcher whose NeurIPS submission received scores of 2/3/3 (3/4/4) is considering submitting the paper to a journal instead, expecting rejection and anticipating a similar outcome at ICLR or CVPR.…
Researchers Alex Ferrando de las Morenas, Xavier Suau Cuadros, Jordi Gonzàlez Sabaté, and Pau Rodríguez Lopez introduced Dynamically Scaled Activation Steering (DSAS), a method-agnostic framework that…
A new paper argues that recursive self-improvement (RSI) is not on the horizon because current AI agents cannot conduct open-ended machine learning research. The study tested agents on accepted but un…
NeurIPS desk-rejected 178 papers (18.4% of submissions) for being 'AI-generated' using the proprietary detector Pangram, with no human review or appeal process. The detector flagged the track chairs' …
Extropic, a Boston-based hardware startup, is hiring junior ML scientists for its Thermo ML Resident program, offering a salary of $75,000–$200,000 per year for on-site work. Residents will collaborat…
METR's research, presented at NeurIPS 2025, shows that the duration of tasks frontier AI agents can complete autonomously has doubled roughly every seven months since 2019, accelerating to about four …
A new submission system called submityour.work, built for the AIDaR (AI Data Readiness for Scientific Discovery) workshop at NeurIPS 2026 in Paris, lets authors connect OpenReview submissions to priva…
Researchers at the University of Edinburgh and NVIDIA developed Dynamic Memory Sparsification (DMS), a technique that compresses the key-value cache of large language models by 8x while improving perf…
Boyd Kane, a technical AI safety researcher, is preparing a MATS Symposium Spotlight research project for submission to NeurIPS, which uses finetuning to estimate how likely an untrained LLM is to beh…
A former MATS fellow, who was rejected from several AI safety fellowships before being accepted into MATS on Team Shard, recommends that fellowships provide letters of recommendation for rejected but …
Jichengdu at ByteDance developed Flux-Pulid, a face identity customization model built on the FLUX diffusion architecture that implements the PuLID method presented at NeurIPS 2024. The model uses con…
A commentary published August 20, 2026 argues that the commoditization of coding and computational work through AI has devalued routine academic output, making it harder to justify papers that merely …
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…