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Comment Re:True cost of AI LLMs (Score 2) 50

by Tablizer (#66171164) Attached to: GitHub Copilot Users React To New Usage-Based Pricing System

"Cool a bit"? If the general truth about the subsidizing of prices gets out, we are looking at a big bubble burst at least as bad as the dot-com poppage.

Investor funds and market-share-fights have kept AI prices low or free, but of course that can't last forever. I suspect one prominent but stressed AI company will spill the beans about fake pricing ("we all do it!"), putting pressure on the rest to prove that claim is false, which they'll fail, spooking investors, ending the run, and triggering a recession.

Comment Survival of the Fibbest. (Score 1) 96

All those job ads asking 7 years of experience in a product that's only been out 3 are real! Illegal pet-eating time-travelers are working multiple jobs in parallel using Flux Capacitors smuggled from Uyghur child labor camps in Jiiihna!

Seriously, though, I met a couple of coders who admitted they lie on their resumes about stack experience and even volunteered tips on how to fake it. Lying makes me even more nervous during interviews such that I prefer to avoid it. I don't have the calm and cool genes to pull it off, Sydney Sweeney got all those.

Submission + - Researchers identify people through ordinary Wi-Fi with 99 percent-accuracy (tomshardware.com)

Submitted by Baron_Yam
Baron_Yam writes: Security researchers at the Karlsruhe Institute of Technology (KIT) in Germany have published a paper demonstrating that unencrypted beamforming data broadcast by Wi-Fi devices during normal operation can be used to identify individuals walking through a room with 99.5% accuracy, regardless of whether the individuals are carrying Wi-Fi devices. The tactic leverages the router's beamforming tech to identify individuals with up to 99.5% accuracy, and it works with existing routers, too.

The system, called BFId, requires no specialized hardware, no access to the target Wi-Fi network, and works even if the person being tracked isn't carrying a wireless device. The team tested the attack on 197 participants, the largest dataset ever used in Wi-Fi-based identification works, and plans to present its findings at the ACM Conference on Computer and Communications Security (CCS) in Taipei.

See GitHub — https://github.com/ruvnet/RuVi... — for your own personal implementation requiring a couple of APs and a couple of ESP32 nodes. You can get full-home per-zone motion and occupancy detection fairly reliably, with the potential for pose detection and in optimal areas even respiration rate. With the right hardware and configuration, you can theoretically get heart rate too.

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