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Всех с пятницей!
Apr. 10th, 2026 06:56 am
Apr. 10th, 2026
Типичный путинский бред
Apr. 10th, 2026 02:45 pmgazeta.ru -- «Искусственный интеллект <...> формирует принципиально иной облик экономики, общественных отношений, социальной сферы, образования, здравоохранения, логистики и промышленности, обороны и безопасности, да и вообще всей жизни страны», — заявил российский лидер.
Ковидные и обыкновенные бляди
Apr. 10th, 2026 05:57 pmNov 30, 2021 at 10:22 AM EST: Eric Swalwell Unleashes on the Unvaccinated in Twitter Rant.
His first post read: "I'm losing my COVID patience. I've tried to reason with the unvaxxed. I've directed some to medical pros. I don't judge but hear them out and steer them to facts. The unvaxxed love to say it's about choice. But you know who doesn't have a choice? My 3 kids under 5."
His thoughts on the matter carried over into two more tweets. Swalwell began the next tweet by writing, "Blah blah blah you have a right to not get vaxxed. Fine. Then business and government have a right to tell you that you're not welcome to patronize or you can't get on a plane."
"Because what right do you think you have to expose my kids to your COVID? As parents, let's own the outrage," he continued. "The looney carnival barkers at the school board meetings DO NOT reflect where most parents are. Your unvaxxed status is creating new variants. So get your damn shot. Or, stay inside your house. But don't mess with my kids."
April 10, 2026 3:02 p.m. -- The woman said Swalwell, who is married and 17 years her senior, tried to kiss her in her car when she drove him home from a donor meeting one night. Driving him to another event weeks later, she said Swalwell pulled out his penis in the car and asked her to perform oral sex on him. She said she did so in a parking lot. In September 2019, the woman said, Swalwell invited her out for drinks and she became so severely intoxicated that she does not remember the rest of the night. She said she woke up naked in Swalwell’s hotel bed and could feel the effect of vaginal intercourse. She said Swalwell distanced himself from her afterward and the relationship faded. Five years later, the woman said, she attended an April 2024 charity gala where Swalwell was honored. The woman, who no longer worked for Swalwell, said they met for drinks afterward, during which she became so inebriated that she only remembers snippets of the night, including pushing Swalwell away and telling him, “No,” while he allegedly forced himself on her.
His first post read: "I'm losing my COVID patience. I've tried to reason with the unvaxxed. I've directed some to medical pros. I don't judge but hear them out and steer them to facts. The unvaxxed love to say it's about choice. But you know who doesn't have a choice? My 3 kids under 5."
His thoughts on the matter carried over into two more tweets. Swalwell began the next tweet by writing, "Blah blah blah you have a right to not get vaxxed. Fine. Then business and government have a right to tell you that you're not welcome to patronize or you can't get on a plane."
"Because what right do you think you have to expose my kids to your COVID? As parents, let's own the outrage," he continued. "The looney carnival barkers at the school board meetings DO NOT reflect where most parents are. Your unvaxxed status is creating new variants. So get your damn shot. Or, stay inside your house. But don't mess with my kids."
April 10, 2026 3:02 p.m. -- The woman said Swalwell, who is married and 17 years her senior, tried to kiss her in her car when she drove him home from a donor meeting one night. Driving him to another event weeks later, she said Swalwell pulled out his penis in the car and asked her to perform oral sex on him. She said she did so in a parking lot. In September 2019, the woman said, Swalwell invited her out for drinks and she became so severely intoxicated that she does not remember the rest of the night. She said she woke up naked in Swalwell’s hotel bed and could feel the effect of vaginal intercourse. She said Swalwell distanced himself from her afterward and the relationship faded. Five years later, the woman said, she attended an April 2024 charity gala where Swalwell was honored. The woman, who no longer worked for Swalwell, said they met for drinks afterward, during which she became so inebriated that she only remembers snippets of the night, including pushing Swalwell away and telling him, “No,” while he allegedly forced himself on her.
Mohammad Asadi, Jack W. O’Sullivan, Fang Cao, Tahoura Nedaee, Kamyar Rajabalifardi, Fei-Fei Li, Ehsan Adeli, Euan Ashley.
Department of Electrical Engineering, Stanford University, CA, USA
Division of Cardiology, Department of Medicine, Stanford University, CA, USA
Department of Biomedical Data Science, Stanford University, CA, USA
Department of Biology, Stanford University, CA, USA
Department of Computer Science, Stanford University, CA, USA
Department of Psychiatry and Behavioral Sciences, Stanford University, CA, USA
Mirage: The Illusion of Visual Understanding. (https://arxiv.org/pdf/2603.21687)
Multimodal AI systems have achieved remarkable performance across a broad range of real-world tasks, yet the mechanisms underlying visual–language reasoning remain surprisingly poorly understood. We report three findings that challenge prevailing assumptions about how these systems process and integrate visual information. First, Frontier models readily generate detailed image descriptions and elaborate reasoning traces, including pathology-biased clinical findings, for images never provided; we term this phenomenon mirage reasoning.
Second, without any image input, models also attain strikingly high scores across general and medical multimodal benchmarks, bringing into question their utility and design. In the most extreme case, our model achieved the top rank on a standard chest X ray question-answering benchmark without access to any images.
Third, when models were explicitly instructed to guess answers without image access, rather than being implicitly prompted to assume images were present, performance declined markedly. Explicit guessing appears to engage a more conservative response regime, in contrast to the mirage regime in which models behave as though images have been provided.
These findings expose fundamental vulnerabilities in how visual–language models reason and are evaluated, pointing to an urgent need for private benchmarks that eliminate textual cues enabling non-visual inference, particularly in medical contexts where miscalibrated AI carries the greatest consequence. We introduce B-Clean as a principled solution for fair, vision-grounded evaluation of multimodal AI systems.
П р и м е ч а н и е: научная туфта приводится исключительно в развлекательных целях и не может служить серьёзным аргументом в споре о применимости искусственного интеллекта для решения тех или иных задач.
Department of Electrical Engineering, Stanford University, CA, USA
Division of Cardiology, Department of Medicine, Stanford University, CA, USA
Department of Biomedical Data Science, Stanford University, CA, USA
Department of Biology, Stanford University, CA, USA
Department of Computer Science, Stanford University, CA, USA
Department of Psychiatry and Behavioral Sciences, Stanford University, CA, USA
Mirage: The Illusion of Visual Understanding. (https://arxiv.org/pdf/2603.21687)
Multimodal AI systems have achieved remarkable performance across a broad range of real-world tasks, yet the mechanisms underlying visual–language reasoning remain surprisingly poorly understood. We report three findings that challenge prevailing assumptions about how these systems process and integrate visual information. First, Frontier models readily generate detailed image descriptions and elaborate reasoning traces, including pathology-biased clinical findings, for images never provided; we term this phenomenon mirage reasoning.
Second, without any image input, models also attain strikingly high scores across general and medical multimodal benchmarks, bringing into question their utility and design. In the most extreme case, our model achieved the top rank on a standard chest X ray question-answering benchmark without access to any images.
Third, when models were explicitly instructed to guess answers without image access, rather than being implicitly prompted to assume images were present, performance declined markedly. Explicit guessing appears to engage a more conservative response regime, in contrast to the mirage regime in which models behave as though images have been provided.
These findings expose fundamental vulnerabilities in how visual–language models reason and are evaluated, pointing to an urgent need for private benchmarks that eliminate textual cues enabling non-visual inference, particularly in medical contexts where miscalibrated AI carries the greatest consequence. We introduce B-Clean as a principled solution for fair, vision-grounded evaluation of multimodal AI systems.
П р и м е ч а н и е: научная туфта приводится исключительно в развлекательных целях и не может служить серьёзным аргументом в споре о применимости искусственного интеллекта для решения тех или иных задач.