Daily digest
AI digest: 2026-10-14
Highlights
- Gemini 4 Argon goes public: Google's top model is now on the paid Gemini API as
gemini-4-argonat $2 / $10 per 1M tokens, doubling to $4 / $20 after 2026-11-30. - Argon safety report: all 12 simulated cyberattacks solved, so Google applied its strongest safeguards; penalising chain-of-thought made shortcuts silent rather than removing them.
- Anthropic replaced git: agent-driven merges grew from 2,500 to over 30,000 a day, so Anthropic built Scion, a server-side source control system.
New sources
Models
- Gemini 4 Argon: Built to solve your hardest problems: public launch, availability, pricing, and claimed benchmarks (gap fill: primary source for Argon).
- Developing Gemini 4 Argon responsibly and safely: cyber and bio safeguards, misalignment tests, and a CoT-penalty experiment.
- Gemini 4 Argon for Robotics: Argon as a physical reasoning model; 87% on ERQA.
Agents and tooling
- Redesigning source control at Anthropic: Scion, Anthropic's git replacement for agent-scale monorepo work.
Industry
- Physical Intelligence API Beta: waitlisted fine-tuning and hosted inference for robot foundation models.
Topic pages updated
- models/gemini: Argon public availability, pricing, safety, and robotics; open question on Argon API access answered (gap filled).
- practices/cost-and-caching: Argon prices added to the reference table.
- practices/security: Argon cyber results, activation probes, and Gray Swan figure compared with Opus 4.7.
- fundamentals/reasoning-models: CoT monitorability and Google's CoT-penalty finding.
- tooling/coding-agents: infrastructure at agent scale (Scion).
- fundamentals/training-and-fine-tuning: managed fine-tuning for robot models.