TypeSafe AI, founded by former OpenAI researcher Diogo Almeida, has released Jev in early access, a new type of AI model designed to make fast structured decisions rather than generate text. The company says Jev matches existing large language models on decision-making tasks while running 20-200 times faster and 40-400 times cheaper, using a new architecture and a training method called Reinforcement Learning for Calibrated Decisions.
typesafe.ai
· 2026-09-15
A developer describes building two lightweight 'modes' inside Spotify's Portal platform to offload routine, low-reasoning coding tasks—like reading multiple files or generating repetitive test files—from Claude Code to a cheaper model, Gemini 2.5 Flash. The setup required no infrastructure, API keys, or new subscriptions, just declarative agent configurations run on Portal's serverless-style runtime, and reportedly slashed token usage by 90%.
engineering.atspotify.com
· 2026-09-04
Companies building agentic AI systems have traditionally sent their internal data—tickets, customer records, contacts, and workflows—into third-party frontier models hosted elsewhere, relying on contracts for protection. A shift is emerging where successful enterprise AI deployments instead keep data within their own infrastructure and bring AI models to that data rather than exporting sensitive information externally.
fastcompany.com
· 2026-08-26
Thomson Reuters unveiled Thomson, its first proprietary large language model, which it built by fine-tuning an open-source base rather than training from scratch. The company says it spent roughly $40 million on the project, using its own legal, tax and news archives from Westlaw, Practical Law, Checkpoint and Reuters alongside hundreds of subject-matter experts to specialize the model for professional work.
thomsonreuters.com
· 2026-08-25
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