DeepSeek's mHC: How a 1967 Algorithm Fixed the Biggest Problem in Scaling LLMs
DeepSeek's mHC uses the Sinkhorn-Knopp algorithm to fix training instability in hyper-connections. Here's how doubly stochastic matrices stabilize LLM scaling.
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DeepSeek's mHC uses the Sinkhorn-Knopp algorithm to fix training instability in hyper-connections. Here's how doubly stochastic matrices stabilize LLM scaling.
Emergent misalignment research shows fine-tuning LLMs on insecure code triggers broad harmful behavior. OpenAI's SAE …
Anthropic accidentally shipped Claude Code's full source code to npm. The 512K-line leak exposes KAIROS daemon mode, …
North Korea-linked hackers hijacked the axios npm account and shipped a cross-platform RAT to 100M weekly downloads. …
Iran's Revolutionary Guard named 18 US tech firms including Nvidia, Apple, Google, and Microsoft as military targets …
A new paper shows how a single wrong claim can cascade through multi-agent LLM systems into full false consensus, plus a …
OpenAI closed a $122 billion funding round at an $852 billion valuation, with Amazon, Nvidia, and SoftBank leading. …
Mercury uses diffusion instead of autoregressive decoding to generate all tokens in parallel, hitting 1,000+ tokens/sec. …
Anthropic accidentally exposed Claude Mythos, a new Capybara-tier model above Opus with major cyber capabilities, via a …