I build systems thatthink in public.

Open late-interaction embeddings that index text, images and PDF pages in one space — no OCR step.

A million-token context at $0.10 per million input tokens — long-context work stops being a budget decision.

Agents that keep working between conversations — each with its own cloud computer, browser and time budget.

Meta's first frontier models, built around Active Memory — context that survives across sessions.

The model chooses the response format — a chart, a form, a working calculator — instead of always returning prose.

A grounding layer that lets Copilot and agents read live business records — and write back through approvals.

A 501B sparse mixture-of-experts model with 23B active — Apache 2.0, aimed squarely at the Chinese open-weight labs.

A roughly trillion-parameter multimodal model released open-weight — the gap between hosted and self-hosted narrows again.

Watermark detection for AI media, now open to everyone worldwide — with one failure mode you have to design around.

Google's agentic dev environment will now run Anthropic's models — opt-in, admin-gated, off by default.