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Clear filtersOpenAI opened ChatGPT advertising to any US business on May 5, removed the $200K minimum spend, and added CPC bidding at $3–5 per click. The CPM that launched at $60 had already fallen to around $25 by then. That price signal tells you more than the $100B revenue target does.
Gemini Spark runs 24/7 on Google Cloud virtual machines, accepts tasks via a dedicated Gmail address, and has day-one MCP support for third-party integrations. It's the most concrete always-on agent any major lab has shipped. Beta starts May 25 for US AI Ultra subscribers at $100/month.
Anthropic acquired Stainless on May 18 for $300M+. Stainless had been building the official SDKs for OpenAI, Google, and Cloudflare too — not just Anthropic. The hosted platform is shutting down immediately. Here's what breaks, what gets better, and why the timing is sharper than it looks.
Google launched Gemini 3.5 Flash at I/O yesterday. It outperforms 3.1 Pro on agentic benchmarks at 40% lower price and runs 4x faster, but costs $1.50 per million input tokens — 3x more than the previous Flash. Here's what changed and what to test before switching.
The 'all engineers will be 10x with AI' framing got the direction right and the magnitude completely wrong. AI tools amplify what you already are. Strong engineers compound. Weak engineers fall further behind. Here's the data and the moves.
Almost four-in-five technical candidates are using AI mid-interview without disclosure. Almost half of recruiters say they've stopped trusting the take-home. The interview process is broken in a specific way — and the companies handling it well are doing something most aren't.
AI accounted for 26% of April's job cuts in the US. 77,999 tech job losses were AI-linked over the prior six months. The numbers are real. The 'AI is taking all the jobs' framing is wrong. Here's what's actually happening, and what to do about it if you'd rather be augmented than replaced.
Opus 4.7 dropped April 16. Pricing didn't move. The CursorBench number did — 58 to 70 in one version. Here's what's load-bearing in the release and what I think you can ignore.
Cursor 3.3 added parallel subagents and PR splitting on May 7. Cursor 3.4 added multi-repo cloud environments on May 13. The first feels like a product release. The second feels like a category shift.
Per Ramp's AI Index for April: Anthropic at 34.4%, OpenAI at 32.3%. First time it's been that way. Anthropic quadrupled its share in a year. The 'why' is one product — Claude Code. The 'will it last' is a different question.
Reasoning models — the ones that 'think' before they answer — went from rare premium offering to commodity feature in a single quarter. Price-per-million dropped 6x. Quality differences on common tasks shrank to under 4 points on most benchmarks. The interesting decision is no longer which model is best — it's which one fits your shape.
Meta released its first proprietary closed-weight model on April 8. Three years of 'open is the future' branding ended in one launch post. The interesting question isn't whether Meta abandoned open source. It's what the math behind that decision tells the rest of us.
Cowboy Space raised $275M Series B at a $2B valuation. The plan: build orbital data centers to host AI compute. The pitch is interesting. The physics is harder than the pitch admits. Here's what I think is actually going on.
Gemma 4 dropped April 2 under a real OSI-approved license, built on the same research as Gemini 3.1 Pro. The model is good. The license is the story. Most 'open' AI models in 2026 ship under custom restrictive licenses. Gemma 4 didn't.
The EU Council and Parliament agreed to streamline the AI Act on May 7. Member states issued 50 fines totaling €250M in Q1 alone. Full applicability lands August 2, 2026. If you ship into Europe, the window for getting compliant is now.
The Intent Laundering paper achieves 90-100% jailbreak success against Gemini 3 Pro and Claude under black-box access. Current safety evaluations failed to predict this. The lesson isn't 'these models are broken.' It's that we've been evaluating the wrong thing.
Parallel raised $230M total to build web-search infrastructure specifically for AI agents. The valuation hit $2B. The interesting question isn't whether they'll succeed — it's why a search-for-agents company hits $2B before any agent product has the same valuation.
Meta's Llama 4 Scout — 17B parameters, vision-language, runs on a single M4 Pro or consumer GPU — is the model nobody's covering. They should be. This is what the production edge-AI workload looks like.