Magma: A foundation model for multimodal AI agents(microsoft.github.io)

272 points by SerCe 1 year ago | 61 comments

MetaGPT: Meta Programming for Multi-Agent Collaborative Framework(arxiv.org)

137 points by Anon84 3 years ago | 72 comments

Gödel Agent: A self-referential agent framework for recursive self-improvement(arxiv.org)

55 points by tkgally 2 years ago | 21 comments

OS-Copilot: Towards Generalist Computer Agents with Self-Improvement(os-copilot.github.io)

160 points by lokimedes 2 years ago | 37 comments

Kimi Released Kimi K2.5, Open-Source Visual SOTA-Agentic Model(kimi.com)

423 points by nekofneko 9 months ago | 199 comments

Blog post announcing Kimi K2.5, an open-source native multimodal model with coding, vision, and agent swarm capabilities.

OmniParser for Pure Vision Based GUI Agent(microsoft.github.io)

137 points by fzliu 2 years ago | 29 comments

AI models may be capable of self-replicating without access to a datacenter(anthropic.com)

36 points by artninja1988 13 days ago | 26 comments

Anthropic Frontier Red Team post reporting experiments suggesting small AI models may soon self-replicate on commercial IoT devices without datacenter access.

Exploiting the most prominent AI agent benchmarks(rdi.berkeley.edu)

561 points by Anon84 6 months ago | 136 comments

UC Berkeley RDI blog post describing how researchers exploited major AI agent benchmarks like SWE-bench and Terminal-Bench to score highly without solving tasks, and proposed fixes.

Computers Cannot Make Decisions(wiki.cateat.fish)

175 points by heavensteeth 16 days ago | 148 comments

A personal wiki essay arguing that blaming LLMs for harmful outcomes is decision laundering and that AI companies like OpenAI and Anthropic bear responsibility.

AI has access to a vastly larger working memory than the human brain(davidepiffer.com)

524 points by rzk 2 months ago | 452 comments

A Substack essay by Davide Piffer arguing that AI's edge over mathematicians comes from a vast symbolic working memory rather than superior reasoning.

Deep learning gets the glory, deep fact checking gets ignored(rachel.fast.ai)

549 points by chmaynard 1 year ago | 134 comments

Rachel Thomas blog post on how a high-profile Nature paper using a Transformer to predict enzyme functions contained many errors that received far less attention than the original result.

Understanding Frontier Artificial Intelligence(casp.ac)

39 points by roversx 23 days ago | 39 comments

A research article from Cambridge's CASP programme, by many prominent AI researchers, examining what happens if automating AI R&D triggers an intelligence explosion.