Sunday, May 24

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So, what is Yann LeCun’s “World Models” and JEPA and is it Really a Replacement for LLMs?
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So, what is Yann LeCun’s “World Models” and JEPA and is it Really a Replacement for LLMs?

A bit late to this as the white paper hit arXiv a little less than two months ago, but nobody else here mentioned it so I thought I might. A little background. Yann LeCun is a pioneer of deep learning and convolutional neural networks, LeCun served as Director of AI Research at Meta (formerly Facebook) and Chief AI Scientist, before leaving Meta (under "interesting" circumstances) and becoming Executive Chairman of Advanced Machine Intelligence (AMI Labs) in 2025. He shared the 2018 ACM Turing Award for his foundational contributions to artificial intelligence. The "LeWorldModel," as described in the arXiv paper, doesn't appear to be a "replacement" for LLMs. There's a lot of confusion about that in the AI field. In interviews Yann made it very clear that he believes LLMs still serve a val...
Give back my em-dashes!
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Give back my em-dashes!

I like dashes--both the long and the short. They help me communicate! But now (when I use them) I'm flagged. I'm Artificial. I'm a fake. I've lost my right to write as I please. But seriously, college students now purposefully leave grammar errors in their essays and dumb down their punctuation to avoid being flagged as AI users. Then they run the product through AI and ask the AI to decide if it's AI and edit it to make it less AI. submitted by /u/Quadrature_Strat [link] [comments]
Cloudflare just published what they found after running Anthropic’s Mythos Preview against 50+ of their own repos and the results are worth reading
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Cloudflare just published what they found after running Anthropic’s Mythos Preview against 50+ of their own repos and the results are worth reading

If you missed the Project Glasswing announcement last month: Anthropic built a security-focused model that autonomously found thousands of high-severity vulnerabilities across every major OS and web browser, then decided it was too dangerous to release publicly. Instead they gave access to ~40 organizations to use it defensively . Cloudflare just posted their honest breakdown of the experience. The genuinely impressive part: the model can take several exploit primitives and reason about how to chain them into a working proof. The reasoning looks like the work of a senior researcher, not an automated scanner The catch: its built-in guardrails aren't consistent. The same task framed differently could produce completely different outcomes. Cloudflare's point is that this inconsistency is exac...
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