All entries

OpenAI field report: eight life-sciences projects used Codex/Claude Code agents; bottleneck shifts from coding to verification.

NVIDIA tutorial: StarCoder2-7B NIM behind NeMo Guardrails, plus CI checks and commit trailers so generated patches stay auditable.

OpenAI expands Daybreak into Blue/Red tiers and introduces GPT-5.6-Cyber for authorized defensive vulnerability research.

Bloomberg reports Stripe agreed to buy model router OpenRouter for over $7B; Stripe has not confirmed the deal.

OpenAI reports Jalapeño delivers 1.5–1.9× more AI work per watt and 1.7–3.6× lower latency vs comparison systems on InferenceX.

Gilbert + Tobin uses ChatGPT and Codex in governed legal operations; OpenAI reports 87% active usage among enabled users.

Pictet rolled out Claude Code and Cowork to about 700 people; Anthropic reports selected prototype and compliance-task time savings.

1Password uses Codex across software delivery; its OpenAI case study reports 20.9% higher engineering productivity in a core cohort.

CyberArk deployed AI log-parsing automation for support teams. CyberArk reported up to 95% shorter case resolution time using AI in an AWS post co-written with CyberArk.

Samsung's own announcement says its DX division selected ChatGPT, Gemini and Claude after a 2,500-person evaluation; no measured outcome is reported.

Pythian deployed Gemini Enterprise to employees. Pythian reported 80% shorter database incident resolution time using AI in a Google Cloud guest post.

Atlassian uses Claude for complex Rovo workflows and Claude Code internally; its multimodel platform also uses Google Cloud.

Meta's Apache-2.0 30B Muse Glimmer targets local agentic tool use, multi-step coding, and vision, sized to leave headroom on 32GB machines.

OpenAI reports Jalapeño delivers 1.5–1.9× more AI work per watt and 1.7–3.6× lower latency vs comparison systems on InferenceX.

NVIDIA tutorial: StarCoder2-7B NIM behind NeMo Guardrails, plus CI checks and commit trailers so generated patches stay auditable.

OpenAI reports Jalapeño delivers 1.5–1.9× more AI work per watt and 1.7–3.6× lower latency vs comparison systems on InferenceX.