How a reasoning model cracked an 80-year-old math problem — the OpenAI Podcast Ep. 20
Introducing NVIDIA Nemotron 3 Ultra
The different levels of how Claude thinks
NVIDIA’s New AI Just Changed Everything
The Erdős Breakthrough
NVIDIA New AI Is An Efficiency Monster
Introducing Gemini Omni: Create Anything from Anything
Why Tejal Patwardhan stopped underestimating the models - Episode 21
DeepMind’s New AI: A Gift To Humanity
Titans: Learning to Memorize at Test Time (Paper Analysis)
[Paper Analysis] On the Theoretical Limitations of Embedding-Based Retrieval (Warning: Rant)
… The attack was effective against reasoning models from leading AI companies including DeepSeek-R1, Alibaba’s Qwen3-Thinking, OpenAI’s GPT-o3, and Google’s Gemini 2.5 Flash and resulted in outputs up to 26 times as long as standard responses on a standard math benchmark. “Across multiple datasets an… …
Apple researchers built an AI that tests several ideas in parallel before answering Marcus Mendes | Apr 29 2026 - 3:43 pm PT | Apr 29 2026 - 3:43 pm PT In a new paper, a team of Apple researchers details a creative framework that improves LLM answers in math reasoning, code generation, and more. …
Papers arxiv:2606.07299 DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning Published on Jun 5 Submitted by Lingyong Yan on Jun 9 BAIDU Authors: Lingyong Yan , , , , , , , , , , , , , , , Abstract A multi-agent framework for deep research tasks t… …
… Generated by Qwen/Qwen2.5-Coder-32B-Instruct Deep research agents are Large Language Model LLM -based systems designed for autonomous, multi-step scientific reasoning , and they hold immense potential for accelerating research in the physical sciences. …
I am very paranoid about sharing potential AI research with e.g. Claude [Code] or ChatGPT/Codex.I believe that any company is essentially a paperclip optimizer that will do whatever it takes to win over competition.AI co…
Quick framing, since the post is long: I did robotic manipulation research at OpenAI from 2017–2020, and the tabletop setup back then cost roughly 10x this one and took a team to run. This project is me testing whether a…
* High level reasons:It increases the gap between the rich and the poor. You think indie devs and individuals have the resources to pay per token? The direction Anthropic is taking is one that leads to more inequality, o…
This one has been building for a month and it came to a head this week. A researcher going by Chaotic Eclipse has released six Windows zero-days publicly over the past several weeks, covering Defender, BitLocker, and Win…
!UPDATE!(20.05.2026) WE HAVE NEW NUMBERS FROM 1.500+ TESTS IT'S WORKING! check my update post https://www.reddit.com/r/LocalLLaMA/s/AyNOehjkYT Or the go straight to the my Github https://github.com/OttoRenner/Gentle-Codi…
… This gives researchers a more repeatable way to develop reasoning vision AI agents that can detect events, reason over complex scenes, summarize activity and send alerts. …
… Even studies focused on physician-facing clinical reasoning tasks can reach very different conclusions depending on how researchers define success. In a paper published 13 April in JAMA Network , Rao and colleagues tested 21 LLMs in clinical reasoning tasks similar to those in the Science paper. …
… 2026 ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research 2026 Act As a Real Researcher: A Suite of Benchmarks Evaluating Frontier LLMs and Agentic Harnesses in Research Lifecycle 2026 MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI 2026 AI … …
… The following papers were recommended by the Semantic Scholar API Towards Verifiable Multimodal Deep Research: A Multi-Agent Harness for Interleaved Report Generation 2026 ViDR: Grounding Multimodal Deep Research Reports in Source Visual Evidence 2026 MemEye: A Visual-Centric Evaluation Framework f… …
… Whereas olympiad-style problems measure step-by-step reasoning alone, research-level problems use such reasoning to advance the frontier of mathematical knowledge itself, emerging as a compelling alternative. …
… It’s the same reasoning loop — just in a more computationally efficient form than natural language. The result: comparable output trajectory quality to text-based reasoning, using roughly half the tokens. …