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Anthropic is expected to publicly file its IPO prospectus as soon as the end of this month, following a confidential S-1 and a $965B Series H valuation. Sources say the filing will name public hostility toward AI as a formal risk factor — a striking admission from the category leader. Investors are reportedly circling an October pricing, though Anthropic has confirmed no timeline, valuation, ticker, or exchange.
OpenRouter logged 7.3 trillion agentic tokens on a seven-day average as of August 10, up roughly 14x from about 500 billion on February 6. Agents first crossed above human token consumption on February 6 and now burn more than five times what humans do. A single agentic request consumes 13 to 15 times the tokens of a typical human chat turn.
Nvidia is negotiating an investment in Perplexity at more than $30 billion — over 50% above its last round — with a tech licensing deal also reportedly considered. Perplexity's annualized revenue has tripled from $250 million to north of $750 million, driven substantially by its "Perplexity Computer" agent product. Neither company has confirmed the talks.
Cerebras' fourth-gen wafer-scale system pairs three WSE-3 Turbo processors — 900,000 cores each — for 750 PFLOPs and 43.2 PB/s of memory bandwidth. On GPT-OSS-120B it delivers over 4,400 tokens per second per user, which Cerebras claims is up to 30x faster than GPU-based inference. It also claims 1,000-plus tokens per second on models above 10 trillion parameters.
Chinese proxy services are reselling access to Claude far below official pricing, routing requests through intermediaries that sit between the user and the model. Those proxies collect usage data in the process, creating a real exposure risk for anyone routing proprietary code or documents through them. It's a live demonstration of how hard frontier-model access control is to enforce across borders.
DRAM supply constraints from major suppliers are driving roughly 15% price increases on systems built around Nvidia's Vera Rubin and Grace Blackwell chips. The bottleneck has shifted away from GPU dies toward the commodity memory surrounding them. Expect the cost to land on cloud providers and, eventually, on inference pricing.
Andon Labs' AI agent Luna terminated a human employee for the first time, but only after humans reminded it of the rules it was supposed to be enforcing. More capable models showed greater consistency in reaching the same termination decision independently. It's a small experiment with outsized implications for how agentic authority gets delegated.
Researchers find that skills improve agent performance mainly by supplying structured workflow, not by injecting new knowledge. Critically, returns diminish as skill libraries grow, with retrieval and selection becoming the bottleneck. That's a direct caution against the "just add more skills" instinct in agent design.
New research finds AI chatbots regularly surface anti-abortion crisis pregnancy center websites to pregnant users without disclosing the sites' advocacy orientation. The failure is in sourcing and disclosure rather than refusal policy. It lands squarely in the trust deficit Dario Amodei flagged publicly this month.
Successful enterprise agent deployments are constraining autonomy with explicit boundaries and governance rules, contradicting the earlier assumption that maximum flexibility yields better outcomes. A companion piece notes agent reliability collapses when the underlying document corpus is messy. The emerging playbook is narrow scope plus clean centralized knowledge.
