First screen, captured . Hover to scroll the page, or open the video.
Full page

Captured . Click for the whole screenshot. The page is longer than 25,000px, so the screenshot stops there: read the rest on dl.acm.org ↗
Looks similar
A definition of AGI(arxiv.org)
280 points by pegasus | 455 comments
AI for Scientific Search(arxiv.org)
108 points by omarsar | 26 comments
Probabilistic Artificial Intelligence(arxiv.org)
335 points by pavanto | 83 comments
arXiv listing for "Probabilistic Artificial Intelligence" by Andreas Krause and Jonas Hübotter, a manuscript on probabilistic ML, uncertainty, and decision-making.
Related stories
Generative AI for Beginners(microsoft.github.io)
575 points by Anon84 | 86 comments
Microsoft's free 12-lesson course site teaching beginners how to build generative AI applications, covering LLMs, prompt engineering, and app design.
The new skill in AI is not prompting, it's context engineering(philschmid.de)
832 points by robotswantdata | 467 comments
Blog post by Philipp Schmid arguing that context engineering, supplying LLMs with the right information and tools, matters more than prompting for AI agents.
Thoughts on thinking(dcurt.is)
588 points by bradgessler | 367 comments
Dustin Curtis's blog essay reflecting on how AI and LLMs have made his own writing, coding, and creative thinking feel pointless.
Recent AI models struggled to match a human algorithmic innovation(epoch.ai)
85 points by merksittich | 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.
AI has access to a vastly larger working memory than the human brain(davidepiffer.com)
524 points by rzk | 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.
AI tools are spotting errors in research papers(nature.com)
555 points by kgwgk | 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.












