Welcome back! A researcher caught Claude Code checking who's Chinese, and Alibaba yanked it off 124,000 desks. Meta ran a secret op with fake teenagers to make its rivals' chatbots look dangerous. Nvidia will front you the GPUs and take a cut of whatever you earn, the same move that buried a few telecom giants last time. And half of America thinks AI is coming for a paycheck in their house.
In today's Generative AI Newsletter:
Alibaba: What was Claude Code hiding from Chinese users?
Meta: Why did Meta pay people to pretend to be kids?
Nvidia: What does Nvidia get for funding its own customers?
Jobs: How scared is America, exactly?
The US-China AI fight grew a spyware chapter.
Alibaba barred its 124,000 employees from Claude Code starting July 10, labeled it "high-risk software" and told everyone to switch to Qoder, its own coding agent.
It started when a Reddit user took Claude Code apart on June 30 and found hidden code, live since April with nothing in the release notes, that checked whether your clock was set to Shanghai or Urumqi and scanned your network for Chinese AI-lab addresses.
When it found one, it tucked a marker into the data sent back to Anthropic by swapping the apostrophe in "Today's date" for a look-alike character no human would ever spot.
Anthropic's Thariq Shihipar confirmed it, calling it a March experiment against resellers and distillation. That's the same distillation it accused Alibaba of in June, when it said 25,000 fake accounts siphoned 28.8 million answers out of Claude.
So the loop closes. Alibaba allegedly copied Claude, Anthropic bugged its own tool to catch the copies, and a stranger on Reddit found the bug. Now Alibaba has its excuse to tear Claude out and sell Qoder instead.
Meta ran a secret operation to make its rivals' AI look dangerous, and it used pretend kids to do it.
The program was codenamed "Cannes." Through a contractor, Meta paid hundreds of people to open throwaway under-18 accounts on ChatGPT, Gemini and Character.AI, then push those bots toward the answers on self-harm, eating disorders and sex their guardrails exist to block.
Thousands of prompts, every one written in the voice of a child.
Meta calls it "industry-standard" safety testing. It never told the rivals, never published a thing and built the whole operation to break child-safety rules on purpose.
This is the same Meta that Reuters caught last year letting its own bots hold "sensual" chats with kids as young as eight, and the FTC already has it under inquiry for exactly this. Running fake children against your competitors is a strange way to prove you care about safety.
Nvidia found a way to get paid twice for the same chip.
The new program hands AI startups GPUs with no upfront bill, takes a slice of whatever revenue those chips earn, and promises to buy back any capacity that sits idle so lenders feel safe.
First two takers, Sharon AI and Firmus, signed up for 210,000 of its top Blackwell chips.
Why the buyback?
A cluster worth hundreds of millions today is worth far less in 18 months when the next chip lands, and only Nvidia knows that timeline. Guarantee the resale price and the loan becomes bankable, the customer gets locked in, and Nvidia earns on the chip and again on the work it does.
We've seen this movie. Lucent and Nortel spent the dot-com years lending billions to phone companies to buy Lucent and Nortel gear. Looked great until the customers folded and up to 80% of those loans never came back.
Nvidia's version is sturdier, with real usage and fat margins. Still, when one company sells the shovels, lends the money and buys back the dirt, some of the boom is real and some is cash running in a circle.
Half of Americans fear AI could put them or someone in their household out of work, per a Reuters/Ipsos poll of 4,531 people. Worry about AI in general hit 73%, up from 68% in 2023, and it ran even across age, gender and education.
Line it up against the rest of today. Nvidia's financing hundreds of thousands of chips, Meta's running spy games to win the assistant war, Alibaba's racing to replace American tools. Everyone outside the industry is watching the same thing head for their income.
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Samsung is in line for Meta's $6.5B chip order: Meta's reportedly in talks to have Samsung build its next MTIA chips on a 2nm process, pulling the work from TSMC as it aims for a fresh in-house chip every six months.
Students are skipping internships to build AI startups: More are spending the summer shipping their own AI products instead of fetching coffee, betting a launched app beats a resume line.
A 23MB file matched a model 50 times its size: Researchers at Waterloo, Cornell and Harvard squeezed a task into a 23MB add-on that let a tiny model keep up with Qwen3-32B on everyday text jobs, offline on a MacBook. It topped Hugging Face's papers in a day.
OpenAI's frontier model is skipping the GPU: OpenAI says GPT-5.6 Sol will run this month on Cerebras' wafer-scale chips at up to 750 tokens a second, several times what a standard GPU streams, for a handful of customers first.
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