A continuous newsletter on enterprise AI, RAG architecture, agentic systems, and the changing GenAI landscape — by Priyanshu Shekhar Sinha.
Notes from yesterday's I/O keynote — Gemini 3.5, Gemini Omni, Antigravity, Spark, Universal Cart. The story isn't the model numbers. It's that the entire product surface pivoted to agentic in one keynote.
A practical migration note for teams running on 2.5 Flash. What's measurably better in 3.5, what's worse (price), the four config changes you'll have to make, and a checklist for cutting over without breaking your fun...
Six things that earned a tab and a sticky note this week — Anthropic's compute deal, CAISI's pre-launch evaluations, the open-weights frontier closing in, and one quiet shift in the agent stack.
Anthropic shipped Opus 4.7 yesterday and announced a SpaceX compute partnership: 220K+ NVIDIA GPUs at Colossus 1, doubled Claude Code rate limits, and exploratory work on orbital data centres.
The U.S. Center for AI Standards and Innovation will now evaluate frontier models from Google DeepMind, Microsoft, and xAI before they're publicly available. The first concrete operationalisation of pre-deployment gov...
DeepSeek shipped V4-Pro (1.6T MoE) and V4-Flash (284B MoE) on April 24 under MIT licence. V4-Pro is now the #2 open-weights model on the Artificial Analysis Intelligence Index, behind only Kimi K2.6.
The model OpenAI confirmed for an April 14 launch — internal codename 'Spud' — finally shipped on April 23. Branded GPT-5.5, not GPT-6. The renaming is the most honest thing about the release.
Bloomberg reported today on Google's new agent line. The strategic story is more interesting than the demo. Here's what I think the bet is.
Model Context Protocol's adoption numbers are extraordinary — 970× growth in 18 months, 9,400+ public servers, 78% of enterprise teams running agents in production. A status check from a working integrator.
Meta shipped Llama 4 Scout (10M context, MoE) and Maverick (1M context, 128 experts) earlier this month. The context-length number is real. The 'do we still need RAG' question still has the same answer.
Anthropic previewed Claude Mythos last week and didn't ship it. The model can find zero-days at scale. The decision to gate it behind Project Glasswing is the most interesting deployment story of the year so far.
Anthropic's run rate quietly passed OpenAI's, and most of the delta is enterprise agentic workflows — not consumer chat. A short field report on what's actually driving that.
Mistral Large 3, Gemma 4 (Apache 2.0), and DeepSeek V3.2 all shipped in the past few weeks. The open-weights frontier is no longer a year behind — it's a quarter behind, sometimes weeks.
Field notes from the GenAI frontier — what to expect from this newsletter, who it's for, and how often it'll land.