A pretraining checkpoint from Anthropic's next-generation Mythos-class model, "numbat", has been leaked, containing a hybrid GDN/MLA architecture with 1,224 experts and NVFP4. The model's architecture and internal consistency match expectations for a Mythos-class model, and a reference implementation is included in the repository. The checkpoint is from a mid-pretraining stage, with 772 shards and a total size of approximately 7.72 TB. AI summary
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Anthropic is expected to receive a high "junk" rating from credit agencies following its initial public offering (IPO), with Blackstone, its anchor investor, predicting a double B range rating, the top tier of speculative "junk" grade. This rating would make it more difficult and costly for Anthropic to raise funds, which has been used to fuel its massive spending on AI development. Anthropic officially filed to go public earlier this week, sparking speculation about its IPO's impact on the broader AI industry. AI summary
API credits benefit for eligible ChatGPT subscriptions Earlier this month Anthropic announced a generous new benefit for their Max and Team subscriptions: $100, $200, and $500 per month subscribers would get the equivalent quantity of (expi…
Anthropic has filed its S-1 for an IPO, but details are still scarce, including the share price. Meanwhile, Google has released Gemini 4 Carbon, a new model that tops the Artificial Analysis v5 benchmark index, but it's not yet available for public use. AI summary
Anthropic's CEO Dario Amodei defends the company's actions, arguing that most of the criticisms levied against them are driven by a negativity bias and that they have taken significant steps to address safety concerns, despite the costs. He counters criticisms of the company's approach to AI development, arguing that their "race to the top" strategy is necessary to drive progress in the field and that many of their actions, such as delaying the release of models to ensure cyberdefenses are in place, were necessary to mitigate risks. AI summary
In this episode, Anjney Midha, CEO and founder of AMP, discusses maximizing GPU utilization and efficient AI infrastructure scaling. He shares insights on building a compute grid inspired by the electric grid, the importance of culture and …