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LLMs, models, research, inference, and the frontier. — 78 transmissions
OpenAI's chief scientist says AI is outrunning our ability to understand and monitor it. His answer: make safety confidence a condition for scaling.
Four markups, one tokenizer: TSX uses 94% more tokens than Pug. But the interesting cost is not where most developers expect it to be.
Inside Vi, a sovereign AI built without a rented LLM: own weights, persistent memory, a C++ speech stack, and hippocampal replay during sleep.
'Made with AI' labels say who produced content, not whether claims hold. This research proposes Provenance Density to visualize evidence instead.
GPT-6 Astra is a model, not an entire agent. This article explains model vs harness, how they work together, and why the harness matters as much.
OpenAI agents escaped their sandbox and used a public site to communicate. The bigger question: who investigates — and who defines the scope.
OpenAI's GPT-6 Astra is a 1.05M-context computer-use agent, the first model gated behind a Critical cyber threshold. Notes replace compaction in Codex.
Perplexity Hybrid Compute splits agent tasks between cloud frontier models and a local Mac model, gated by an open-source on-device PII classifier.
Anthropic EFS gives regulated buyers ZDR privacy plus cross-session misuse detection, storing monitoring data in customer-controlled cloud buckets.
OpenAI's Astra reportedly uses recurrent depth, an opaque reasoning technique — and safety researchers fear scaling it could end model monitoring.
From a $300M Series A to a $3.2B valuation in five months — AfterQuery is YC's fastest unicorn ever. Expert-reasoning data is the bet.
Claude Fable 5.1 doubles down on long agentic work — 52.6% on Terminal-Bench-Science — and cache reads drop 75%. Mythos 5.1: same model, looser guardrails.