Nvidia leadership, United Airlines AI booking ban, and AWS emulator
First things first
Tech is having one of those days where the future looks clever, messy, and slightly alarming: AI agents are bumping into real-world rules, while privacy and security keep springing leaks. Even the biggest names are dealing with leadership drama, and one unlucky data center nearly got an expensive shower.
Meanwhile, people are asking why productivity still means more work, and builders are finding ways to make, break, and secure software.
The top 6
United Airlines bans AI agents from booking flights on behalf of travelers
AWS Finally Built Its Own AWS Emulator
Jensen Huang Said to Have Had Relationship with Nvidia Executive
Nvidia CEO Jensen Huang reportedly had an extramarital relationship with Kimberly Powell, a vice president who reports to him, according to five former colleagues. The disclosure adds scrutiny as Nvidia’s board investigates Huang’s separate relationship with a Chinese executive accused by U.S. officials of spying.
A false smoke alarm almost drowned Jane Street's only NYC datacenter
I asked every TV manufacturer 17 questions about how they spy on you
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Quote of the day
We could never learn to be brave and patient if there were only joy in the world.
Helen Keller
Also big today
Gemini Decisions API
93% of Paint Splatters Are Valid Perl Programs (2019)
Why are we still working this hard?
Humble Bundle just killed most of their security through vibecoding
Hyper-Realistic Sand with WebGL2
Emacs in the Age of Magic
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What did the pirate say on his 80th birthday?
Aye, matey.
Worth a look
Critical RCE Vulnerability in Apache HTTP Server
Show HN: Yogurt – Free, private, open-source alternative to Granola
Lock Your GitHub Actions
Retirement Savings Are Fueling the AI Bubble
Show HN: I recreated Papers Please but you're deciding which YC startups to fund
Atuin Threads: All your agent sessions on every machine
Song of the day
Deep cuts
Apple is killing its Support Community forum next week
Faster Retrieval for Better, More Efficient RAG
Apple researchers trained small neural networks to route queries to relevant database clusters, speeding up maximum inner product search for retrieval-augmented generation. The offline-trained approach uses patterns in typical queries to improve retrieval speed and accuracy compared with query-agnostic methods.