AI Daily brief · 2026-11-3 · TuesdayAI Daily
NEXGATEHUB AI NEWS
Anthropic warns its models may soon reach the recursive self-improvement threshold
Anthropic's revised prospectus shows quarterly revenue approaching $17 billion, up twelvefold year over year, but net losses widened to $23.3 billion; the company also warned that internal estimates suggest future models may soon reach the recursive self-improvement threshold of "dramatically AI-accelerated progress." Additionally, Marvell announced a $115 billion all-stock acquisition of Lumentum to double down on its AI interconnect business.
AI Stocks & Company Earnings
Anthropic grows revenue twelvefold but posts $23 billion loss
Anthropic's quarterly revenue approached $17 billion, twelve times a year earlier, but operating costs reached $17.5 billion, with a quarterly net loss of $23.3 billion, up from $12.1 billion a year ago. Rising costs mainly came from $5 billion in short-term compute lock-ins and $2 billion in employee donation matching; the updated prospectus shows compute and data center leasing commitments of $895 billion, and the IPO may raise about $100 billion, with up to $3.5 billion expected from Japanese investors.
Anthropic warns that it’s very close to RSI capability, aka self-building AI
In an amended S-1A filing, Anthropic warns that its internal estimates show future models could soon meet the definition in its Responsible Scaling Policy of “dramatically accelerated progress caused by AI,” and that it has previously used AI to develop new models with capability leaps without realizing it. The filing also states that no existing model has yet crossed that RSI threshold, and the company plans to update its policy and keep human oversight in the frontier model development process for the foreseeable future.
Marvell and Lumentum to Combine, Creating a Category Leader in AI Connectivity
Marvell and Lumentum announced a definitive agreement under which Marvell will acquire Lumentum in an all-stock deal. Lumentum shareholders will receive 4.500 Marvell shares per share, implying an enterprise value of $115 billion, or about $1,132 per share, a premium of roughly 23.9% over the unaffected closing price on October 28, 2026.
Tips & Insights
Build efficient agents with knowledge distillation on Amazon SageMaker AI
The AWS Machine Learning Blog published a tutorial on using sequence-level knowledge distillation (SeqKD) on Amazon SageMaker AI to distill a shopping agent from the frontier teacher model GLM-5.3 into the Qwen3.5-4B student model.