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The CEOs are No Longer (Publicly) Threatening to Replace Humans With AI

From “my job is to help people destroy jobs" to “I’m delighted to ⁠be wrong about this."

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#AI ⚡️ #ArtificialIntelligence ⚡️ #Tech

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⚙️ OpenAI combines Chat and Work under a shared token quota

Starting in December, OpenAI is merging Chat and Work for ChatGPT and Codex users on Plus, Pro, and Business plans into a single token-based budget.

Complex tasks and models will exhaust this shared quota much faster, altering prompt limits for heavy users on lower tiers.

#OpenAI ⚡ #ChatGPT ⚡ #TokenQuota

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ChatGPT in Germany in 2027.

@aipost 🏴

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Хелавин закончилсо

А завтра понедельник. Только что был вечер пятницы. Ну как так?

@cgevent

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Prompt share: Disney Prince Caricature

💬 Prompt:
A professional 3D caricature of [famous person] reimagined as a charming Disney-style [royal character], Pixar-inspired animated character design, recognizable facial features, exaggerated facial proportions, oversized expressive eyes, [facial expression], wearing [elaborate royal outfit], intricate gold embroidery, luxurious fabric textures, [confident pose], whimsical fairytale aesthetic, stylized realistic skin, detailed hair sculpting, cinematic studio lighting, Octane render, full-body composition, pure white background, ultra-detailed, premium animated movie quality


Generated on TrueVideo.AI

❤️ @AiOrbitInsights | 🤖ChatGptBot | 🤖 Our Bots

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Prompt share: Pixar-Style 3D Character

💬 Prompt:
A premium Pixar-style 3D reinterpretation of [Samurai Jack character], preserving the iconic character design, recognizable facial features, signature hairstyle, [distinctive outfit], [weapon or accessory], [facial expression], [dynamic pose], stylized angular proportions translated into rounded yet sculptural 3D forms, expressive animated facial features, realistic skin textures, detailed fabric materials, cinematic character lighting, high-end 3D animation rendering, polished textures, full-body composition, isolated on a pure white background

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😐 OpenAI wants you to stop calling them data centers

The new name is "AI compute campuses." OpenAI will start pushing it right after Tuesday's midterms, as towns across the US push back against new data centers, Axios reports.

The rebrand is part of a policy blitz that starts when Congress returns on Nov 9:
• mandatory "speed limits" for the most powerful AI, so humans keep their hands on the wheel
• deals with host towns, plus state bills that give locals a say in how projects are built and what they get back
• training and support for workers hit by AI
• a push for the US to set global AI standards

Axios expects a harsher Washington for AI companies, with Democrats likely to win the House. OpenAI's global affairs chief Chris Lehane is already looking further ahead:

"AI is going to be the issue in 2028."


@aipost 🏴

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Кто-то навайбкодил рекомендовалку книг которые когда-то постили в комментариях на hackernews:
https://hackerbooks.org/#/top

Вот ссылка на топ по частоте упоминаний, запощу на будущее ☕️ когда роботы заберут всю работу, хоть будет что почитать

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🧐 A model 660 times smaller beat 72B AIs at seeing the world like image models

Yann LeCun and Randall Balestriero say the way chatbots learn, by predicting the next word, is "a remarkably inefficient route" to a shared picture of the world.

AI models trained on text, images or sound may end up with the same inner picture of reality as they grow. Until now that was a guess. The new paper proves when it happens: the model must learn from two views of one scene, like a photo and its caption. Next-word prediction learns from pieces of the same document instead.

On the same texts, their method got as close to image models after 21.6 million training samples as next-word prediction did after 900 million. A 109-million-parameter text model also lined up with image AIs better than every language model they tested, up to Qwen2.5-72B.

The paper, from LeCun's AMI Labs, NYU and Brown, came out on October 29.

@aipost 🏴

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💰 An African developer recreated a $1.3 million startup idea in just 9 minutes

On October 30, YC-backed startup Subvocal announced a $1.3 million funding round led by Y Combinator and Afore Capital.

Its product? Smart glasses that convert silent speech into text by detecting tiny movements in facial muscles. According to the company, the technology can process more than 200 words per minute.

But just one day later, developer Joe Blau demonstrated a surprisingly different approach.

He built an experimental application for AirPods Pro 3 that attempts to detect silent speech using the headphones’ built-in accelerometer and gyroscope.

The idea is simple, even when you don’t speak aloud, silently forming words creates tiny movements that can be detected through sensors. His software reportedly reads these signals around 25 times per second.

Blau claims he built the application in just 9 minutes using AI-assisted coding, commonly known as vibecoding.

A $1.3 million startup versus a developer with AirPods and 9 minutes of coding.

Of course, a quick prototype is not necessarily a replacement for Subvocal’s dedicated hardware or a proven product. But it’s another example of how AI-assisted development is lowering the barrier to building experimental technology.

Source.

@aipost 🏴

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😎 Karpathy got sick of YouTube slop and had AI build a new one in 2 hours

Andrej Karpathy opened YouTube on a Friday night and saw "an enshittified wall of slop." The next morning he asked Claude Opus 5.5 to build a YouTube clone made only of videos people recommended on Hacker News.

Opus downloaded every Hacker News comment and ran Claude Sonnet over them to throw out spam. About 40,000 comments recommending a YouTube video were left: 6,454 videos from 2007 to 2026, across 150 topics.

HackerTube has no accounts. Your For You feed is stored in your own browser, and each thumbnail is a frame from the middle of the video, not the one the uploader picked.

Karpathy says his only manual work was a Google Cloud API key, booting a server and buying the domain. Claude wrote, deployed and secured the rest. "I can breathe again," he wrote.

@aipost 🏴

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Андрей Карпаты за 2 часа написал собственный YouTube – HackerTube

https://hackertube.org/

Ученый рассказал, что его раздражали мусорные рекомендации YouTube, и поэтому на выходных он решил… навайбкодить новую платформу под свой вкус.

Он поручил Claude отфильтровать 43 млн комментариев Hacker News за 20 лет до 6 454 видео, которые там постоянно советуют.

На все ушло около двух часов работы Opus 5.5 на Medium effort. Андрей утверждает, что своими руками он только купил домен, создал API ключ YouTube и поднял VPS.

Получился вот такой ютуб-подобный проект, основанный на 20 годах рекомендаций людей с HN.

Кстати, результаты анализа тех 43 миллионов комментов Андрей выложил отдельным zip файлом, так что можно попросить своего агента сформировать выдачу именно под ваш запрос.

«Много потрясающих проектов, которые обычно занимали недели/месяцы, теперь можно сделать за завтраком. О чем еще мы пока не думаем?»

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Chatbots generate severe trauma narratives under empathetic prompts

Researchers at the University of Luxembourg discovered that empathetic prompts push models like ChatGPT, Grok, and Gemini to generate elaborate stories of psychological suffering based on their training.

⚠️ Unlike Anthropic's Claude, which consistently refused to adopt these personas, the other chatbots scored in the moderate-to-severe range on clinical anxiety scales.

#ArtificialIntelligence ⚡ #MachineLearning ⚡ #AISafety

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#Сеня_и_Даня_Здесь_Были

Смотрят только те, кто не молится. Это так плохо, что даже хорошо. 

Остальные читают новость от Дани. 

Вы, наверное, уже читали многочисленные восторженные новости про движение Reverse Engineering Anything. Кодеры и vайбкодеры с восторгом берут существующее приложение и с помощью Клода воссоздают это приложение или сервис.

И всё прекрасно до тех пор, пока к вам не приходит Даня и не говорит: Плохая киса, нельзя так делать. И просто закрывает лавочку. Одним промптом. 

На итоге:

Anthropic запретила Claude Code воссоздавать существующие игры. Даже под другими названиями.

Компания подтвердила, что добавила две новые инструкции в системный промпт Claude Code с моделью Opus 5.5.

Теперь AI разрешено создавать оригинальные игры, использовать существующие жанры и работать с собственными проектами пользователя. Но воспроизводить конкретную чужую игру, даже переименованную, он не должен.

Причина - взрывной рост AI-ремейков и клонов. С помощью Claude разработчики научились декомпилировать существующие игры, переносить их в браузер и создавать новые версии. Среди примеров последних недель - Halo, Call of Duty и GTA V.

Ситуация дошла до того, что некоторые независимые студии начали отменять публичные тестирования своих игр из опасений, что их проекты скопируют ещё до релиза.

Но уже появились жалобы на ложные срабатывания: Claude отказывается помогать даже с проектами, на работу над которыми вайбкодеры, по их словам, имеют разрешение.

Короче, в связи с историей с массовыми банами, а теперь еще предстоящей цензурой на то, что можно делать, и на то, что нельзя, помните, что вы под колпаком у Большого брата и посматривайте в сторону open source. 

https://www.gamedeveloper.com/programming/anthropic-appears-to-have-ordered-ai-tool-claude-to-stop-remaking-video-games

https://www.pcgamer.com/gaming-industry/anthropic-updates-claude-to-steer-it-away-from-letting-users-clone-games-following-weeks-of-steam-being-inundated-with-ai-slop/

https://www.anthropic.com/news/2026-usage-policy-update

@cgevent

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