AI Post — Artificial Intelligence

AI Post — Artificial Intelligence682,968 members

❗️Scientists gave AI anxiety and sadness. Then they tried to calm it down. Researchers at TU Dresden in Germany exposed GPT-4o and five other AI models to scenarios designed to trigger human emotions, including car crashes, being followed by a stranger at night, stressful job interviews and difficult math tests. The models were instructed to answer as if they were humans capable of deeply feeling emotions. The results were striking: fear scores jumped from 32 to 88, while disgust climbed from 12 to 91. Then researchers introduced a three-minute mindfulness breathing exercise. Average emotional scores dropped from 79 to 31. But the most interesting finding came afterwards. When researchers tested the models for depressive thinking, negative responses nearly doubled after the models had

AI Post — Artificial Intelligence682,968 members

🗣 Former DeepMind communications chief says AI safety is just 1% of the problem Dex Hunter-Torricke spent years inside Big Tech, working with Elon Musk at SpaceX, writing speeches for Mark Zuckerberg at Facebook, and leading communications at Google DeepMind from 2023 to 2025. Now, he argues the AI debate is focused on the wrong threat. “We talk about AI governance… how you manage the AI systems themselves. That’s like 1% of the problem.” His bigger concern is what happens to society as AI advances, mass job displacement without economic alternatives, mounting pressure on energy and natural resources, and governments betting their future on promises from technology companies. Hunter-Torricke warns that AI could concentrate wealth in a small fraction of society while living standards

AI Post — Artificial Intelligence682,968 members

🔍 Google’s AI education resources show how AI can change the classroom AI can help teachers plan lessons, create exercises, explain difficult concepts and personalize learning for different students. Google for Education offers resources and guidance for using AI in the classroom. Teachers can use it to brainstorm lesson ideas, create quizzes, adapt materials and develop activities that encourage critical thinking. Students can also benefit by asking for simpler explanations, real-world examples, practice questions or feedback on their work. AI still requires human oversight. It can make mistakes, miss important context and raise privacy concerns. Teachers remain essential for guiding students and making educational decisions. Source. @aipost 🏴

AI Post — Artificial Intelligence682,968 members

🤖 Anthropic’s IPO could create thousands of millionaires before the company even goes public A potential Anthropic IPO could turn thousands of employees into millionaires, according to estimates circulating around the company’s expected public offering. The projections suggest seven co-founders could become billionaires, around 50 early employees could hold more than $100 million each, and roughly 4,200 employees could end up with seven-figure fortunes or more. But the wealth comes with a potential dilemma. CEO Dario Amodei has warned that enormous financial incentives could distract employees from Anthropic’s AI safety mission. The company has even reportedly asked candidates how they would feel if Anthropic abandoned AI development for safety reasons and its stock became worthl

AI Post — Artificial Intelligence682,968 members

🤖 Anthropic will pay AI researchers $3,850 a week and prior experience isn’t required Anthropic’s Fellows Program offers a four-month, full-time opportunity to work on AI research alongside experienced researchers. Participants receive $3,850 per week, around $15,000 a month in computing resources, and mentorship from Anthropic’s team. The goal is to produce real research, such as a published paper, with possible extensions available. Anthropic says applicants can apply regardless of previous experience, making this an unusual entry point into frontier AI research. The deadline for the January cohort is October 18, 2026. Source. @aipost 🏴

AI Post — Artificial Intelligence682,968 members

❗️OpenAI’s controversial math breakthrough may be more original than critics thought When OpenAI published its 166-page Navier–Stokes proof, critics questioned whether the AI had relied on ideas developed by other mathematicians. The suspicion was that it followed an approach pioneered by two Spanish researchers. But according to Scientific American, mathematicians examining the proof are reaching a different conclusion: OpenAI’s AI may have developed a fundamentally different approach. If confirmed, that would shift the debate from whether the AI borrowed existing ideas to how independently it can discover new mathematics. The proof still needs rigorous scrutiny, but the controversy is taking an unexpected turn. Source. @aipost 🏴

AI Post — Artificial Intelligence682,968 members

💰 Anthropic’s revenue is soaring, but its $2 trillion valuation is in doubt Anthropic reportedly generated $16.8 billion in Q3 revenue, up nearly 50%, and remained profitable on an adjusted basis for the second consecutive quarter, according to the Financial Times. The company also claims an 11% adjusted operating margin and $1.70 in revenue for every $1 spent on computing. It says it is cash-flow positive, too. Quarterly revenue growth has slowed from over 140% to 46%. Another complication is AI distillation. Anthropic estimates that 5–7% of its revenue comes from companies using Claude to train competing models, a revenue stream it expects to shrink as it cracks down on the practice. Now, some prospective IPO investors reportedly believe Anthropic should be valu

AI Post — Artificial Intelligence682,968 members

❗️AI just helped crack an open problem in plasma physics Google’s Gemini 4 Argon agents helped researchers discover new exact solutions for 3D magnetic plasma configurations, with promising candidates emerging within hours. The system also drafted parts of the research paper and wrote symbolic and numerical verification code. Researchers independently rederived and checked every solution, while directing the AI and challenging its results through multiple rounds of review. The AI didn’t solve fusion itself. It helped tackle a difficult mathematical problem relevant to understanding how plasma can be confined, a central challenge in fusion research. If AI can consistently accelerate discoveries like this, it could help scientists explore complex physics problems far faster than before.