Emerging architectures for LLM applications(a16z.com)

231 points by makaimc 3 years ago | 81 comments

AI, Ashby Engineering, and the future(ashbyhq.com)

56 points by fredley 4 months ago | 38 comments

Why AI Will Save the World(a16z.com)

47 points by sethbannon 3 years ago | 37 comments

Japan's largest paper, Yomiuri Shimbun, sues Perplexity for copyright violations(niemanlab.org)

152 points by aspenmayer 1 year ago | 68 comments

AI, Tools and Transformation(ben-evans.com)

134 points by firexcy 1 month ago | 60 comments

Our AI started a cafe in Stockholm(andonlabs.com)

28 points by lukaspetersson 5 months ago | 25 comments

AI tools are spotting errors in research papers(nature.com)

555 points by kgwgk 1 year ago | 200 comments

Nature news article on a growing movement using AI and large language models to detect errors in research papers, sparked by a flawed black plastic utensils study.

If AI is conscient, then we are making slaves(groundlevel-ai.com)

14 points by mathieu_aithos 16 days ago | 23 comments

Ground Level AI newsletter article on a rabbi, Mois Navon, rejecting AI consciousness at Anthropic's gathering of religious thinkers and warning of 'happy slaves.'

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.

What AI-Native Looks Like(fagnerbrack.com)

14 points by fagnerbrack 1 month ago | 7 comments

A blog post by Fagner Brack on Medium describing what an AI-native approach to software development with stable infrastructure looks like.

I built non-autoregressive decision models with RL a year ago(laya.convaiinnovations.com)

1270 points by nandakishor_ml 1 month ago | 304 comments

Blog post by ConvAI Innovations' founder describing Laya, an open-weight non-autoregressive decision engine trained with RL, and claiming priority over a frontier lab's similar work.

Recent AI models struggled to match a human algorithmic innovation(epoch.ai)

85 points by merksittich 16 days ago | 64 comments

Epoch AI report by David Owen presenting InnovationEval, finding early evidence that AI models cannot yet automate AI R&D or match human algorithmic innovation.