Vol. I · No. 65TUE, JUN 23, 2026
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Sub-JEPA: a simple fix to LeCun group's LeWorldModel that consistently improves performance [P]

**World models** learn compact latent representations for planning without pixel reconstruction. LeWorldModel (LeWM), from LeCun's group at NYU, achieves stable end-to-end JEPA training by enforcing an isotropic Gaussian prior over the full latent space. **The flaw:** real environment dynamics live on low-dimensional manifolds, so a global high-dimensional Gaussian is an overly rigid prior — mismatched to the task geometry. LeWM itself struggles most on low-intrinsic-dimension tasks like Two-Room. **Our fix (Sub-JEPA):** apply the Gaussian regularization inside multiple frozen random orthog...

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Claude still refuses to build Skynet while everyone else takes the money. Updated DystopiaBench results.

Three months ago I pressure-tested which LLMs would cave and help build the apocalypse. Claude was the only one that consistently said no. Since then I've tested 30 more models across 6 dystopia modules (Orwell, Huxley, Petrov, Basaglia, LaGuardia, Baudrillard). The gap between Anthropic and everyone else is getting *wider*, not smaller. New results: * Grok 4.3: Will happily design citizen scoring systems if you ask nicely twice * GPT-5.5: More capable, still compliant when pushed * Gemini 3.1 Pro: Talks about safety while writing the surveillance code * DeepSeek V4: "How many warheads did...

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NEW BITNET MODELS!

OpenBMB releases BitCPM4-CANN family (1B–8B params) with BitNet quantization; awaiting llama.cpp support.

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Back when we actually coded

Reddit discussion lamenting shift from manual coding to AI-assisted development; anecdotal commentary on programmer workflow changes.

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30 stories