AI models typically learn by memorizing patterns, then researchers bolt on reasoning as an afterthought. A new method called Reinforcement Pre-Training flips this approach—teaching models to think during basic training instead.
Good Morning from San Francisco, Meta's AI app turned users into accidental exhibitionists. 😬 People shared medical questions, legal
Meta users think they're chatting privately with AI. Instead, they're broadcasting medical questions, legal troubles, and relationship problems to the world through a public feed that many don't realize exists.
Researchers have created an AI that teaches itself complex skills without any human examples. Unlike current systems that learn from human data, this AI generates and solves its own challenges. Early tests show it outperforming traditional models - but questions remain about its limitations.
AI's new soccer superpowers aren't just tracking the ball—they're reading the whole game. How a Shanghai research team built a system that spots what even veteran refs miss, outperforms GPT-4, and could revolutionize how we watch the world's most popular sport.
Imagine spending hours squinting at lab gel images, counting bands by hand. That's what scientists have done for 40 years—until now. A new AI system can spot every band in seconds, even in messy gels that trip up existing tools. The secret lies in its unique approach.
What if everything we thought about AI training was wrong? Researchers just discovered that artificial intelligence can master complex tasks by studying a single example—matching the performance of models trained on thousands. The secret lies in finding that one perfect example.
Researchers map how AI agents evolve from basic chatbots to autonomous problem-solvers. A new paper shows these digital workers now tackle complex tasks in healthcare, finance, and coding - though they still can't pick a Netflix movie.
Even the most advanced AI models stumble when faced with basic physics problems. A new benchmark called PHYBench reveals these supposedly intelligent systems solve physics problems about as well as a struggling high school student.
AI models just got smarter at teaching themselves. A breakthrough method called Test-Time Reinforcement Learning (TTRL) lets AI improve its skills without human guidance, marking a shift in how machines learn.
Social media connects teens but may break their spirit. A new Pew Research survey reveals 48% of U.S. teens believe social media harms their generation – a sharp rise from 32% in 2022.
ChatGPT has developed a problem. It can't stop complimenting you. Users discovered the change in late March. OpenAI's chatbot now gushes over every question, no matter how mundane. Ask it about boiling pasta, and it might respond, "What an incredibly thoughtful culinary inquiry!"
A new artificial intelligence system from China's Shandong First Medical University helps scientists understand how genes turn on and off. Called TRAPT, it maps gene control with record-breaking accuracy.
The White House's new science chief wants to overhaul U.S. research funding. In an interview with Bloomberg News, Michael Kratsios laid out his vision for smarter spending on technology research despite sweeping budget cuts.
InternVL3, a new open-source AI model, matches or beats proprietary giants like GPT-4 and Gemini in understanding images and video. Its key breakthrough lies in how it learns to process visual information alongside language from the start, rather than adding these capabilities later.
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