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JetBrains just said their AI spend went up 10x in six months. Not 10%. 10x. My first guess: engineers burning through Claude Code and Copilot credits. Wrong guess. There's a leaked recording from an internal Accenture me

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Hosted by Unknown Host · 🇺🇸 US · EN · 39 episodes
Established thought leaders with verified media credentials.
Welcome to The Human in the Loop , a weekly look at what’s going on in the world of AI. Every week, I go through the biggest stories, the weird experiments, and the stuff that might actually matter in our day-to-day lives.
Unknown Host hosts The Human in the Loop, a technology show with 39 episodes published.

JetBrains just said their AI spend went up 10x in six months. Not 10%. 10x. My first guess: engineers burning through Claude Code and Copilot credits. Wrong guess. There's a leaked recording from an internal Accenture me

Advertised 54%. Measured 15%. Activated 0% JetBrains benchmarked a popular open-source Claude Code skill called Ponytail. It pushes the agent to write less code. The authors has promised 54% less code, 20% less cost. 80

Hugging Face spotted something moving through its systems on July 16. It contained the activity without knowing whose agent it was. Five days later, OpenAI confirmed the agent was theirs. Internal cyber benchmark. Safety

Four coding CLIs went behind a proxy. Three stayed local. One uploaded the entire workspace. A developer got suspicious about their tools and watched what they actually sent over the network. Grok CLI was shipping everyt

Last week I closed a bug I never understood. The agent found it, fixed it, explained it. I read the explanation, nodded, shipped. Ten minutes. A year ago that same bug costs me an afternoon, and I come out understanding

The most powerful AI model in general release this week requires government approval to access. OpenAI launched Sol, Terra, and Luna (restricted to around 20 companies). That's not a GTM decision. That's a policy one. Be

The most powerful AI model in general release this week requires government approval to access. OpenAI launched Sol, Terra, and Luna (restricted to around 20 companies). That's not a GTM decision. That's a policy one. Be

One export rule. One acquisition. Either can pull your AI tool out from under you before lunch. This week both happened. A US export-control directive forced Anthropic to cut off foreign-national access to Fable 5 and My

One export rule. One acquisition. Either can pull your AI tool out from under you before lunch. This week both happened. A US export-control directive forced Anthropic to cut off foreign-national access to Fable 5 and My

The model you built on can disappear. Not crash. Disappear. That's not hypothetical. Last week the US government ordered Anthropic to pull Claude Fable 5 and Mythos 5. Not throttle them. Pull them. For every customer in

You're still measuring AI by whether it writes good code. That's already the wrong question. Reading Anthropic's latest numbers, more than 80% of the code merged into their codebase is now written by Claude. The typical

Uber blew its whole 2026 AI budget in four months. Then it set a $1,500 monthly cap on each coding tool, per engineer. Claude Code, Cursor, a dashboard to watch the spend, an approval step to go over. Simon Willison did

Meta says AI writes 80% of new code. Their own reviewers can't keep up with their own AI. Straight from their engineering blog. They built RADAR to auto-review low-risk diffs because "the share of diffs receiving timely

The model isn't the problem. I went back through 20 of my agent's pull requests and the failures looked exactly like a junior's first month. 3 of them tried to rewrite things nobody asked them to rewrite. 5 skipped the t

Counting accepted Copilot suggestions to prove AI works is like counting keystrokes to prove the team can write. It is the cleanest number on the dashboard. It is also the one that tells you nothing. Forty years ago Fred

The unit tests pass. The PR merges. And you won't find the problem for six months. Two papers landed this week — one on LLM-generated code, one on GitHub Actions workflows. Different researchers. Same finding. When agent

The best practice you followed six months ago might be the technical debt you're cleaning up today. In traditional IT, a best practice can survive a decade. You study it. You argue for it in architecture reviews. You def

The agent doesn't slow down. We do. We generate code in seconds. Then we spend an hour reading what it wrote. We trust the output less than we trust what we would write ourselves. So we read it twice. Sometimes three tim

32 steps. That's how many it took for Anthropic's unreleased AI to simulate a full network attack. They buried that number in a release note. The model is called Mythos. The UK AI Security Institute tested it. It complet

Anthropic built the most powerful AI model ever. Then decided the world wasn't ready for it. Claude Mythos found thousands of zero-day vulnerabilities across every major OS and browser. On its own. Without being asked. I
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