The White House Is Making Up Its Rules for AI in Real Time
Anthropic still can’t distribute Claude Mythos or Fable 5 after running afoul of the Trump administration. But no one can say exactly what the company did wrong.
MarktechPost·
In this tutorial, we explore the implementation of OpenMythos, a theoretical reconstruction of the Claude Mythos architecture that enables deeper reasoning through iterative computation rather than increased parameter size. We build and analyze models using both GQA and MLA attention mechanisms, examine memory efficiency through KV-cache comparisons, and validate stability via the spectral properties of […] The post A Coding Tutorial on OpenMythos on Recurrent-Depth Transformers with Depth Extrapolation, Adaptive Computation, and Mixture-of-Experts Routing appeared first on MarkTechPost.
Read full articleAnthropic still can’t distribute Claude Mythos or Fable 5 after running afoul of the Trump administration. But no one can say exactly what the company did wrong.
Days before Anthropic took its most advanced AI models offline, the White House ordered the company to revoke SK Telecom’s access to Claude Mythos over claims of alleged ties to China.
MiniMax released MSA, a sparse attention built on Grouped Query Attention. A lightweight Index Branch selects Top-k key-value blocks per query and GQA group; the Main Branch attends only to those blocks. It matches GQA on downstream benchmarks while reducing per-token attention compute 28.4× at 1M context. The post MiniMax Sparse Attention (MSA): a Two-Branch Block-Sparse Attention Trained on a 109B-Parameter MoE With a 3T-Token Budget appeared first on MarkTechPost.
We implement xFormers, a practical toolkit for fast, memory-efficient Transformer models on GPUs. We validate memory-efficient attention against a standard implementation, then compare speed and memory across sequence lengths. We work through causal masking, packed variable-length sequences, grouped-query attention, and custom ALiBi biases. Finally, we combine these into a trainable GPT-style model with SwiGLU layers and automatic mixed-precision training. The post How to Build Memory-Efficient Transformers with xFormers Using Packed Sequences, GQA, ALiBi, SwiGLU, and Causal Attention appeared first on MarkTechPost.
Venture capitalist Simon Dedic said Anthropic’s latest AI models drop the cost and skill needed to find crypto exploits to “basically zero.”
Remember Claude Mythos Preview? Yes, the very AI model that Anthropic had announced earlier this year, one that sent even the governments around the world into a frenzy. The model that found security loopholes in almost any network it was tested on, and was so powerful that had to be kept limited within a very controlled environment of existing Anthropic partners. […] The post I Tested Claude Fable 5: Can Anthropic’s Newest AI Deliver on the Hype? appeared first on Analytics Vidhya.
Anthropic has released a full version of its cybersecurity-centric Claude Mythos model—along with a safer version for the general public.
Prediction market traders are putting real money on the table that Anthropic will publicly release its most powerful and controversial artificial intelligence (AI) model, Claude Mythos, within the next 24 to 48 hours, even as the company has made no official announcement. What the Markets Are Saying As of Tuesday morning, Polymarket‘s “Claude Mythos released […]