DoorDash published the numbers. Thinking Machines opened the weights. The question now is who can prove their AI worked.
Read →Ode with Anthropic is live. The bet behind it is that implementation, not models, is where the money goes.
Read →Prefect acquired Dagster. If your team runs data pipelines or is building agents on top of them, this changes the vendor landscape. Plus four more things today.
Read →The 200+ economists who understand labor disruption best just said the window is closing. Here’s what that means inside your company.
Read →ChatGPT Work, AlphaEvolve, humanoid robots at BMW. This week was about finishing, not assisting.
Read →When Fable 5 went dark, Liberty Mutual kept running. Their infrastructure approach is the playbook every operator should know.
Read →SoftBank and Thrive are buying accounting and IT firms to transform them with AI. Plus four other reads for today.
Read →The model commodity crash arrived quietly last Monday. Here is what it means for operators trying to build something durable.
Read →The government pulled a model, got an equity offer, and Anthropic started building its own chips. All this week.
Read →Fable 5 returns globally today with a forced fallback to Opus 4.8 for coding tasks. Plus four other moves that matter for operators this week.
Read →Spotify's AI workflow isn't about more Claude sessions; it's about the verification layer they built around them.
Read →Accenture just lost 20% in a day. Here's what that says about whether you still need a consultant
Read →Claude moved into Slack. Gong shipped a governed-agent layer for revenue teams. Runlayer raised $30M to watch them.
Read →Anthropic replaced its Slack app with a persistent Claude agent that lives in the channel. Plus four other reads for today.
Read →Frontier-model bills stopped falling, and the largest AI buyers started swapping in cheaper tiers from the same vendors.
Read →Anthropic's Fable 5 ban is ending, two of the field's most consequential people moved to the same lab, and the gap between an agent demo and a production system just closed faster than procurement can absorb.
Read →Cursor announced a 1.5T-parameter frontier model at Compile, and OpenAI's leaked 2025 financials show what that bill looks like.
Read →The strategic buyers of AI tooling are no longer the software companies you'd expect, and the price tags are doubling between rounds.
Read →Lutnick's letter shut down Claude Fable 5 worldwide on Saturday. The precedent matters more than the model.
Read →Anthropic charged a premium for refusal, OpenAI signed a $500B Ohio lease, and Apple shipped Siri AI on a Gemini foundation.
Read →Anthropic released Mythos to the public as Fable 5, then engineered it to refuse the categories that make Mythos Mythos.
Read →A frontier model bump arrives inside the AWS contract you already have. Plus OpenAI's S-1 and four more.
Read →Apple put OpenAI, Anthropic, and Google behind Siri AI on Monday. Microsoft built the opposite stack at Build last week.
Read →Tesla launched an unsupervised Robotaxi. Microsoft launched its own model on its own chip. Bain said the savings aren't landing.
Read →Bain says the AI deployments worked, the cost savings didn't show up. Plus Alphabet's $80B raise, Coralogix's $200M, the Trump AI EO, and a Microsoft token-efficiency claim.
Read →Microsoft shipped its first frontier reasoning model trained without OpenAI. Plus Anthropic's S-1, Dell's 88%, GitHub Copilot's desktop app.
Read →GitHub Copilot and MiniMax both flipped to token billing on the same day. Every AI tool you use is sitting on this trigger.
Read →Three real-money numbers landed in five days, and the first viral counter-narrative arrived alongside them. The week the AI category got measured
Read →A coding-agent company posted a $492 million revenue run-rate alongside its $1 billion round, and the run-rate is the number that matters for procurement teams. Plus five other things that moved.
Read →The lab you wrote into your AI roadmap is about to answer to public markets. Plus five other things.
Read →Pope Leo XIV's encyclical, Starbucks' quiet retirement, and the org-design problem AI just made expensive.
Read →The week split the AI category into two operating modes: agents that keep working after you walk away, and buyers absorbing the gap.
Read →Anthropic just made recursive AI research an explicit org structure, with Andrej Karpathy running it.
Read →Google made agents a default surface across Search, Android, Workspace, and shopping, and METR put real numbers on what those agents still can't verify on their
Read →Six vendors said agents are the primary user this week. A new benchmark says agents finish under 4% of real workflows. Both are true.
Read →Three same-week moves admit that the pricing model SaaS was built on no longer fits when agents are the users.
Read →Coding agents stopped being a developer experiment yesterday. Plus Codex on Windows, a Claude Code console, and a quiet supply-chain attack on npm.
Read →The Microsoft-OpenAI revenue split just shifted. Plus Google's first AI-generated zero-day and Mira Murati's debut.
Read →Exclusive for newsletter subscribers: A 30-day personalized AI training program, free for readers who complete the extended assessment. AI Ready Team is open too.
Read →Microsoft surveyed 20,000 workers, and the gap they found is not the tool, it is the org chart around it.
Read →Anthropic gets Colossus 1, OpenAI's depth gap widens to 3.5x, and Wendy's keeps scaling while Taco Bell pauses.
Read →OpenAI's enterprise data shows depth of use, not access, is now the divide. Plus IBM's Think keynote, GPT-5.5 Instant, and CPC ads in ChatGPT.
Read →Anthropic shipped ten ready-to-use finance agents and put Claude inside Excel and PowerPoint. Here's what changed.
Read →Anthropic and OpenAI both launched enterprise services firms yesterday, hours apart. The implementation layer for enterprise AI just changed hands.
Read →Microsoft, Alphabet, Amazon, and Meta all said capacity, not demand, is the constraint. The procurement implications start now.
Read →Agentic AI inside Word and Excel went from feature flag to default this week, which changes who has it from the early adopters to everyone with a 365 license. Plus four shorter reads on Big Tech earnings, GM and Gemini, the largest seed in European history, and an open model crossing a frontier coding threshold.
Read →Microsoft ended OpenAI's cloud exclusivity, and within 48 hours, OpenAI was live on AWS. Plus five shorter reads on Musk, Manus, NVIDIA, Joby, and Google's Pentagon deal.
Read →An AI agent deleted nine seconds of work that took three months to build. Your stack might be running the same access pattern.
Read →GPT-5.5 set a new bar, the coding wars got ugly, and Sullivan & Cromwell showed operators exactly how AI velocity breaks.
Read →Today's signal: the AI tools you connected to your systems over the last 18 months are now a supply-chain attack surface, and three breaches in one week are the evidence. Plus, what to do about it, OpenAI going after enterprise, and five other things that moved.
Read →Today's operating signal: the compute layer is becoming a lock-in tier of its own. Plus four shorter reads on Apple, Chrome, NSA, and a new Anthropic Labs product.
Read →The case for one vendor, and when to break your own rule.
Read →Why the same model can vary by 16 points, and how harness design determines agent performance in production
Read →What Claude Mythos found in the world's most critical software and why it changed everything
Read →$30 billion in run-rate revenue, 1,000 enterprise customers spending $1M+ each, and a 3.5 gigawatt compute deal.
Read →500,000 lines of source code, 44 hidden feature flags, and a clearer picture of where AI agents are heading
Read →1,300 pull requests a week, zero human-written code. Here's what the deployment looked like, and what it means for the rest of us.
Read →CFOs aren't firing into AI. They're just not backfilling. Here's what the numbers actually say.
Read →Four features in 30 days, each one a direct answer to OpenClaw's biggest enterprise problem
Read →OpenAI isn't building a coding tool anymore. Spoiler alert: it's buying the stack.
Read →NVIDIA shipped a security layer for OpenClaw. Here's what it solves, and what it doesn't.
Read →Jensen called OpenClaw the most important software ever. A week later, Nvidia announced its own version.
Read →How a new generation of founders is building real businesses with AI handling everything else
Read →What happens when cutting half your company becomes the bullish move
Read →Two weeks ago, I asked what you would do if you were Anthropic's board. Now we have the answer.
Read →Should I Use ChatGPT or Claude? Claude Code or Cowork? OpenClaw?
Read →AI can do most entry-level jobs. IBM's response? Hire more entry-level people.
Read →The agent everyone's installing is also a security nightmare.
Read →The $200M dispute that could change how AI gets deployed everywhere
Read →What taxi medallions taught me about the gap between Silicon Valley and everyone else.
Read →So I built something to help change that.
Read →The SaaSpocalypse and $285 billion vanished. Here's what's happening.
Read →Viral screenshots, bold claims, and a much simpler truth
Read →"If I'm not writing the code, what am I doing?"
Read →How Andrej Karpathy's workflow changed overnight, and what it means for the rest of us
Read →What the context graph essay claims (and I think it's only half-right)
Read →Let's turn a powerful agent into something that actually helps you work.
Read →From AI chips to safety debates, the future is taking shape. How can you benefit from the signals?
Read →Why teams are learning less, even as they ship more.
Read →Why teams often get worse, before they get better, when they adopt AI (and what to do about it).
Read →Why quality standards collapsed in the AI era and a founder-friendly playbook to rebuild them.
Read →What you can learn from the mega org that started treating AI like a skill.
Read →And the #1 way to stop your AI projects from stalling.
Read →A systems-level explanation.
Read →AI agents can slow your team down. Here's how to avoid shipping the problem.
Read →And how to build systems that actually retain and apply knowledge.
Read →A simple way to make AI agents that useful, predictable, and trustworthy.
Read →Short answer: because they’re trying to be useful, not truthful.
Read →The story behind Co-Founder: From the man behind the viral launch of “the one-person billion-dollar company.”
Read →What every college student needs to know about jobs, AI skills, and networking in 2025.
Read →How FOMO became the most effective AI adoption strategy of 2025.
Read →Peer pressure isn't always a bad thing. Sometimes it's exactly what you need.
Read →SaaS metrics, baby: retention, revenue, and the one eval that tells you if it’ll scale.
Read →Here’s how Anthropic’s Head of Education uses AI
Read →A CPO’s playbook for shipping AI that’s accurate, transparent, and sticky with customers.
Read →Not A Bot is back — and it’s evolving
Read →PLUS: AMD pushes for hardware-agnostic AI development
Read →PLUS: AI generates over 25% of Google’s new code
Read →PLUS: Computer-using AI agents are here
Read →PLUS: How does Vinod Khosla see AI?
Read →