A KV cache, or key-value cache, speeds up autoregressive transformer inference by storing attention information calculated for tokens that have already been processed. Without the cache, the model would recompute those keys and values each time it generates another token. Reusing them reduces repeated work and improves response latency, especially for long prompts and outputs. The tradeoff is memory: cache size grows with sequence length, batch size, layer count, and model dimensions. Production systems manage this cost with paging, quantization, eviction, prompt caching, and request scheduling. KV caching changes inference efficiency, not the model’s learned knowledge, and cached data must be protected when prompts contain sensitive information.
The US and China plan to hold their first official AI talks under Trump in September, aiming to manage the risks of each other’s frontier models, with Anthropic’s Mythos a key concern.
A federal judge gave final approval to Anthropic’s $1.5 billion settlement with authors over pirated books used to train Claude, the largest copyright recovery on record.
Google is designing Frozen v2, a chip that hardwires parts of its Gemini model into silicon and could serve six to ten times more tokens per watt, targeting deployment by 2028.
Opponents of the AI data center boom held 142 protests across 42 states, the first nationwide backlash against a buildout that crosses political lines and worries local communities.
Ethereum’s Vitalik Buterin argued the gravest AI risk is not rogue superintelligence but a few companies or governments seizing control of it, in a widely shared thread on AI’s future.
Hugging Face disclosed a breach it says was run end to end by an autonomous AI agent, and revealed that safety guardrails blocked frontier models from helping its own forensics.
Alibaba previewed Qwen 3.8, a 2.4-trillion-parameter model it claims is second only to Anthropic’s Fable 5, days after Moonshot’s Kimi K3 rattled markets, though no benchmarks back it.
Economists warn AI’s biggest near-term danger may be fiscal: if it displaces high-earning workers, income-tax revenue could fall sharply while welfare costs rise, straining public budgets.
Anthropic’s new ad “There’s hope in hard questions” drew mockery, including from Sam Altman, for pairing bleak imagery like a cemetery with questions about whether AI can be trusted.
SoftBank plans to sell about ¥60 billion of notes in Japan this month, its latest raise to fund a mounting AI bet that includes nearly $65 billion committed to OpenAI.