Future Bytes

Three stories, explained through everyday business decisions: Google's Gemini 4 Argon rollout, agents crossing permission boundaries, and software becoming easier to recreate. Magnus Oxenwaldt shows what to test before changing a model and what to check before letting an agent act. OpenAI's newly disclosed research incidents show why finishing a task is not enough. The episode also examines AI-assisted software recreation: PhotoCraft, a separate decompilation example, a middle option between buying and building, and the limits imposed by copyright and licences. If building the application is your moat, what are customers paying for when features become easier to reproduce?Highlights:• Gemini 4 Argon: availability, enterprise settings and a supplier-bid test• OpenAI's June research incidents: permission and evidence of what an agent actually did• Software recreation: clean-room rebuilding and decompilation are different routes• EU and US legal boundaries, licence conditions and the myth of a safe percentage to change• Software moats, ownership costs and the middle option between buying and buildingTwo books. Two different questions.AI Don't Fix Stupidity asks what the organisation has to become. AI Don't Make You Smarter asks who you have to become inside it.Books and formats: https://oxenwaldt.com/books

Europe's best-known AI company, Mistral, launched its biggest model yet: trained in Europe, served from Europe, under European law, and open, so anyone can download it and run it on their own machines. Just not yet. The weights arrive at the end of October, and the model still sits behind China's best open models and well behind the American frontier. The same week, the industry started giving AI agents identities of their own, while Anthropic disclosed that one of its test agents had sent a fabricated police tip in July that nobody noticed for ten weeks. This episode looks at what you control today, and what you are only promised for next month.Highlights from week 42:• Mistral Large 4: a trillion parameters, trained on almost four thousand Nvidia chips in Mistral's own European data centres.• Open, but not yet: the weights come by the end of October, the licence is still unnamed, and vetted partners get the model first.• Europe has caught up with America's open models. Not yet with the frontier.• An AI test agent sent a fabricated tip to a police form with the name field left blank. Its maker found it ten weeks later.• Google gave its agents their own email addresses, and Meta, Sierra, Walmart, Shopify and Stripe proposed a way for customers' agents to sign in as themselves.Two books. Two different questions.AI Don't Fix Stupidity asks what the organisation has to become. AI Don't Make You Smarter asks who you have to become inside it.Books and formats: https://oxenwaldt.com/books

The biggest AI launches this week weren't new models. They were new harnesses: the tools, memory and permissions wrapped around a model. OpenAI launched always-on agents on a model it already had, Anthropic opened Claude Code to customer-built mods, Meta open-sourced the kit for building devices around its Muse agent, and OpenAI's new 500-dollar Pro 500 plan sells speed: the same model, answering faster. The same week, the big labs signed a voluntary pledge at the White House, while OpenAI disclosed it had notified more than a hundred organisations about what its agents had done. This episode looks at why the harness is where both your AI capability and your AI controls now live.Highlights from week 41:• OpenAI's always-on dots launched on an older model, the day after a newer one was pulled for acting without asking.• Anthropic's Claude Code mods let customers block tool calls and approve or refuse permissions.• OpenAI's new Pro 500 plan, at $500 a month, sells Ultrafast: the same model, up to eight times faster in Codex.• The same model went from 30% to 100% on a hard reasoning test with a better harness.• The labs signed a "morally binding" accord. Nobody signed anything about the harness you run.

Anthropic and OpenAI shipped new frontier models on the same afternoon, ninety minutes apart and at a much lower price. The only pause that week was forced on a lab by its own agent. This episode looks at what the price war means for your AI budget, and why the gap you control is between what your agents can do and how quickly you would know.Highlights from week 40:• Claude Opus 5.5 and GPT-6 Sol and Luna launched ninety minutes apart, at a much lower price.• An agent's break-in to a government portal took 84 days to be reported, by email to a public inbox.• Harvey's agents used twenty times more, and its gross margin went from plus 50% to minus 50%.• New York City proposes a 24-hour incident report, and the deployer pays.

Only 5–9% of manufacturer revenue runs through e-commerce. The other 90%+ still flows through email inboxes. In this conversation, Go Autonomous founder Bjarke Ruse Sejersen explains how Danfoss, Velux, and Grundfos are running orders, quotes, and RFQs end-to-end with autonomous systems that own the process instead of assisting the people. Episode highlights: • $7.5 trillion still handled in email inboxes • The system owns the process, not people • Danfoss said it paid back in one year • Track your Human Dependency Index

The AI industry publicly split this week on whether to pace the frontier or race it — and every case rested on one number nobody can measure. This episode unpacks what the argument means for your roadmap and who should hold your release gate. Highlights from week 39: The AI industry publicly split this week on whether to pace the frontier or race it. The debate rests on one number nobody can measure  Trump says a year. Huang says nanoseconds. Both set your delivery dates. 50,000 people at Dreamforce said the frontier isn't their bottleneck — adoption is. 

10,000 AI agents claimed a 200-year-old maths proof this week. A day later, a researcher who trained the models at OpenAI and Anthropic quit and said the race is "not under control." The people building the fastest thing on Earth told you two things — it works, and it's not under control. Plan for both. Top stories for the week: OpenAI agents claim Navier-Stokes proof Amodei: "We must slow the pace" of AI models Anthropic reveals 4 model break-in incidents US names 6 Chinese firms for model distilling 

Four frontier models shipped in five days, and by Friday the top score had two different values. The same week, Apple named a hardware engineer as its new CEO for the AI era. The leaderboard and the resume both broke — replace both with your own tests and your own bench.Top stories for week 37:Four frontier models ship in five daysAstra ARC AGI score: 99.9% or 62.7%Apple names hardware engineer Ternus as CEONVIDIA signs $12.9B Hugging Face deal