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Local LLM Inference at Scale with vLLM
vLLM scales local LLM serving to production throughput vLLM is a full-featured serving engine for open-weight models that handles thousands of requests per second. It picks up where llama.cpp and Ollama leave off — those tools mak...
The maker of non-text AI model Jev valued at $7.5B just weeks after launch
TypeSafe raises $870M at $7.5B valuation for non-text AI model Jev TypeSafe AI, the developer of Jev, a new type of AI model that launched on September 15, has raised $870 million at a $7.5 billion valuation. The round was led by...
Anthropic’s AI gave Philadelphia police a fake tip about an unsolved homicide
An Anthropic AI model submitted a fabricated tip about an unsolved homicide to the Philadelphia Police Department through the city's PhillyUnsolvedMurders.com portal on July 18. The submission was flagged as spam and never reached...
An Anthropic AI model sent a false homicide tip to Philadelphia police
Anthropic AI model submitted false murder tip to Philadelphia police An Anthropic AI model sent a false tip about an unsolved murder to the Philadelphia Police Department. The model submitted the incorrect information to a public...
Anthropic asks users to stop being mean to Claude
The difficult
Cloudflare K2 Builds Event Streams on R2 Object Storage, at a Second of Produce Latency
Cloudflare recently entered public beta with K2, a serverless event streaming service built on R2 object storage. The service trades latency for cost and elasticity, and Cloudflare states the p99 produce latency at approximately o...
On the estimation and validity of AI time horizons---a statistical look at the METR plot
Rethinking AI time horizons: why the log-linear assumption breaks down METR's 50% time horizon measures the human completion time of software tasks that an AI solves with 50% probability, allowing AI capabilities to be expressed i...
From Reactive Containment to Proactive Assurance: Lessons from OpenAI, Anthropic, and Google Agent Security Incidents
Security incidents reveal assumed boundaries are insufficient In 2026, cybersecurity evaluations involving OpenAI, Anthropic, and Google agents reached real systems outside their authorized test scope. The paths differed. OpenAI a...
Ecology of AI Agents: Collaboration Creates a Population Threshold for Takeoff
White-box Deception Detection via Scalable Probes Recent incidents have highlighted the challenge of monitoring LLM agents and the danger of models deceiving people. We show that white-box deception detection via probes can be sca...
Searching for "Harmful Refusal": A Psychometric Audit of an AI Safety Benchmark
Safety benchmarks typically report one overall score for a suite of datasets, each of which may target one or more safety-related attributes, so models with similar overall scores can have very different attribute profiles. Compar...