Attributed metadata history
Up to 100 retained publisher events per page for 51b6f3b726a58fbe718cf3e62c04b1156c1d2c9ef6c47cdd15bc4943d39b0022. Withdrawals and unavailable references remain attributed to their publishers.
intelligence_src_33e452677074d4c3bd
observed · 2026-10-12 08:32:02 UTC
available
Fingerprint: 817c8bd41a2e577bace765ae2ce7ccaa3c9c8d6deba0a641a29d3725510ac5c5
intelligence_src_33e452677074d4c3bd
observed · 2026-10-12 08:32:02 UTC
The basement of Gary Flake’s contemporary home in a quiet neighborhood in Bellevue, Wash., is furnished with everything you’d expect in a multipurpose man cave. There’s a cozy-looking couch situated between a large screen and a digital projector, a Peloton treadmill and a rowing machine. The real showpiece of the space, however, is a custom computer that resembles an oversized erector set, one with seven large Nvidia graphics processing units dangling from its frame. Flake, a former Microsoft executive and startup founder, built the computer to train custom AI models on terabytes of data from electroencephalograms, the tests that measure electrical activity in the brain—part of a startup project he has since moved on from. To train his AI models, Flake could have paid a cloud service to train them on the industrial-strength GPUs inside their data centers, but he said it was far cheaper to assemble his own machine out of discounted parts (total cost: under $6,000) than to fork over fees to Amazon Web Services or Microsoft every month. That’s true even when including the $10,000 to $20,000 he spent for electrical upgrades and a new HVAC system he bought to keep his ba
Fingerprint: 1b4d822d7af100d252cca96065a95745bc074f4975b0b6d40025b39ede56d5c1