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Headlines · 3
- Studies: AI-altered images and chatbots can implant false memories
According to research rounded up by The Washington Post, MIT Media Lab professor Pattie Maes and colleagues showed 24 everyday photos to 200 participants; after a break, some saw AI-altered versions with changed facial expressions, added soldiers or climate imagery, and those participants were far more likely to form false memories — and more confident in them. In other experiments, participants questioned by a generative AI chatbot after watching a crime video produced about three times as many false memories as a control group, and nearly half falsely remembered remake films that were never made. Georgetown researcher Mattea Sim's 331-participant experiment found about 45% of those given an AI summary with a wrong traffic sign detail correctly remembered the sign, versus about 84% given an accurate summary, even when told the summary was AI-generated.
IT之家 AI · 🔥 17 - NHTSA reviews Tesla robotaxi school-zone speeding claim
NHTSA has opened a defect petition review into claims that Tesla robotaxis exceeded posted speed limits in active school zones, covering roughly 1,000 vehicles with no reported crashes, injuries or fatalities. The petition, received 23 September and opened for review 9 October, covers 2026 model year Robotaxi, Model Y and Cybercab vehicles and supplied three video links as evidence, according to Business Insider. Those are the same 1,000 vehicles already under a separate NHTSA inquiry into how Tesla certified the Cybercab, which has no steering wheel, pedals or mirrors and which the company signed off itself; neither matter is yet a full investigation and no deadline has been set. Speeding also blocks Tesla's bid for EU-wide approval of its driver-assistance software: Germany wants the system held to 10% above the limit, the Dutch-approved version reportedly permits up to 50% over the detected limit, and France and Sweden have raised concerns, with the October vote not held and December now the earliest.
The Next Web · 🔥 0 - OpenAI's math proof release falls short of new field standards
OpenAI this week published hundreds of claimed solutions to hard math problems (719 manuscripts, per the article), saying it consulted an advisory group of elite mathematicians to avoid the controversy its earlier result sparked. But only ten of the manuscripts included the model's chain of thought, and by the article's account roughly 42% of the proofs had not gone through formalization in Lean; the Advisory Group on Mathematics and Artificial Intelligence (AGMAI), hosted by Princeton's Institute for Advanced Study, said it is ultimately up to the mathematical community to judge whether its recommendations were followed — its first request being to stop testing advanced problems on proprietary models. A paper from Cambridge and King's College London mathematicians also documents at least two discrepancies between OpenAI's natural-language proof and the Lean code for a problem derived from the Navier-Stokes equations, concluding such autoformalized proofs should not be trusted without peer review.
TechCrunch AI · 🔥 0
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