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The governing board for the state’s third-largest school district will discuss eliminating more positions at Wednesday’s meeting, according to the meeting agenda. The 49 positions on the list are retirements or vacancies from classified positions, including 15 custodians, 14 nutrition services assistants and two bus drivers.
Investigators contacted the Albuquerque homeowners to gather the home camera footage and information in an effort to track down William Neil McCasland, 68, who vanished without a trace from his home on Feb. 28, according to the Bernalillo County Sheriff’s Office.
The attorney general relocated from a Washington apartment to a base in the area within the past month, according to people familiar with the situation.
A new study shows that AI can identify the real people behind burner or pseudonymous accounts with surprising accuracy, posing a major threat to online anonymity. Large language models were able to deanonymize 68% of users in the test dataset — and when they did, the identifications were 90% accurate. Researchers from ETH Zurich, MATS, and Anthropic say AI can pull subtle “identity signals” from writing style, behavior patterns, and data matching, essentially breaking the long‑held assumption that burner accounts are safe.
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Philip Teresi on KMJ
Weekdays 2-6 PM Pacific on News/Talk 580 AM & 105.9 FM KMJ
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By KMJ4.5
2626 ratings
The governing board for the state’s third-largest school district will discuss eliminating more positions at Wednesday’s meeting, according to the meeting agenda. The 49 positions on the list are retirements or vacancies from classified positions, including 15 custodians, 14 nutrition services assistants and two bus drivers.
Investigators contacted the Albuquerque homeowners to gather the home camera footage and information in an effort to track down William Neil McCasland, 68, who vanished without a trace from his home on Feb. 28, according to the Bernalillo County Sheriff’s Office.
The attorney general relocated from a Washington apartment to a base in the area within the past month, according to people familiar with the situation.
A new study shows that AI can identify the real people behind burner or pseudonymous accounts with surprising accuracy, posing a major threat to online anonymity. Large language models were able to deanonymize 68% of users in the test dataset — and when they did, the identifications were 90% accurate. Researchers from ETH Zurich, MATS, and Anthropic say AI can pull subtle “identity signals” from writing style, behavior patterns, and data matching, essentially breaking the long‑held assumption that burner accounts are safe.
Please Like, Comment and Follow 'Philip Teresi on KMJ' on all platforms:
---
Philip Teresi on KMJ is available on the KMJNOW app, Apple Podcasts, Spotify, YouTube or wherever else you listen to podcasts.
--
Philip Teresi on KMJ
Weekdays 2-6 PM Pacific on News/Talk 580 AM & 105.9 FM KMJ
| Website | Facebook | Instagram | X | Podcast | Amazon |
-
Everything KMJ
KMJNOW App | Podcasts | Facebook | X | Instagram
See omnystudio.com/listener for privacy information.

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