Tuesday, January 20, 2026

How much “Oops!” can we tolerate?

https://pogowasright.org/ices-facial-recognition-app-misidentified-a-woman-twice/

ICE’s Facial Recognition App Misidentified a Woman. Twice

Joseph Cox reports:

When authorities used Immigration and Customs Enforcement’s (ICE) facial recognition app on a detained woman in an attempt to learn her identity and immigration status, it returned two different and incorrect names, raising serious questions about the accuracy of the app ICE is using to determine who should be removed from the United States, according to testimony from a Customs and Border Protection (CBP) official obtained by 404 Media.
ICE has told lawmakers the app, called Mobile Fortify, provides a “definitive” determination of someone’s immigration status, and should be trusted over a birth certificate. The incident, which happened last year in Oregon, casts doubt on that claim.
ICE has treated Mobile Fortify like it’s a 100% accurate record retrieval system of everybody’s immigration status for the entire population of the U.S. when this is obviously not true, and could never be true from a technical perspective,” Cooper Quintin, a security researcher and senior public interest technologist at the Electronic Frontier Foundation, told 404 Media.

Read more at 404 Media.





Perspective.

https://sloanreview.mit.edu/audio/connecting-language-and-artificial-intelligence-princetons-tom-griffiths/

Connecting Language and (Artificial) Intelligence: Princeton’s Tom Griffiths

In this bonus episode of the Me, Myself, and AI podcast, Princeton University professor and artificial intelligence researcher Tom Griffiths joins host Sam Ransbotham to unpack The Laws of Thought, his new book exploring how math has been used for centuries to understand how minds — human and machine — actually work. Tom walks through three main frameworks shaping intelligence today — rules and symbols, neural networks, and probability — and he explains why modern AI only makes sense when you see how those pieces fit together. The conversation connects cognitive science, large language models, and the limits of human versus machine intelligence. Along the way, Tom and Sam dig into language, learning, and what humans still do better — like judgment, curation, and metacognition.





Perspective.

https://thedailyeconomy.org/article/the-price-of-greenland-and-the-cost-of-attacking-sovereignty/

The Price of Greenland — and the Cost of Attacking Sovereignty

President Donald Trump’s renewed push to acquire Greenland is now framed not as a novelty or negotiating stunt, but as a foreign policy and national security imperative. Administration officials argue that Greenland’s Arctic location, proximity to emerging shipping lanes, and potential role in countering Russian and Chinese influence make US control strategically essential. 

That framing has now been paired with explicit economic pressure: in a recent social media post on Saturday, January 17, 2026,  Mr. Trump announced that Denmark — the sovereign power over Greenland — will face a 10 percent tariff on all goods exported to the United States beginning February 1, with the rate rising to 25 percent on June 1 if Denmark does not agree to a “Complete and Total purchase of Greenland.”  He further stated that Norway, Sweden, France, Germany, Britain, the Netherlands, and Finland — NATO allies that have expressed solidarity with Denmark — will be subjected to the same escalating tariffs unless they relent.

Even granting the strategic premise, the proposal collapses under basic economic reasoning. The problem is not subtle. It lies in valuation, incentives, and the institutional foundations that make both markets and geopolitics workable.





Perspective.

https://www.aljazeera.com/news/2026/1/20/how-a-year-of-trump-reshaped-the-world-in-seven-charts

How a year of Trump reshaped the world in seven charts





Perspective.

https://www.theguardian.com/us-news/ng-interactive/2026/jan/18/tech-ai-bubble-burst-reverse-centaur

AI companies will fail. We can salvage something from the wreckage

AI is asbestos in the walls of our tech society, stuffed there by monopolists run amok. A serious fight against it must strike at its roots



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