Zuckerberg promises "personal superintelligence" after spending billions poaching AI talent from competitors. His vision sounds remarkably similar to what OpenAI already offers. Is this innovation or desperation?
Google will sign EU's AI rules while Meta refuses, creating a strategic split in Big Tech. The divide reveals two different approaches to Europe's regulatory push as new AI laws take effect August 2.
Israeli startup Teramount raised $50M to solve AI's hidden bottleneck: connecting processors. While everyone builds faster chips, these physicists found the real problem in the wires between them. Their optical solution promises 100x speed gains.
Read about AI research breakthroughs, development insights, and practical applications. Learn how companies build AI apps, integrate Claude technology, and solve real problems with artificial intelligence. Get updates on the latest trends reshaping how we work with AI tools and understand their impact on business and technology.
Anthropic launches research program to study AI's job impact after CEO predicts 50% of white-collar roles will vanish in 5 years. New data shows coding work already transforming as AI agents automate 79% of developer tasks.
New research reveals most people don't use AI for therapy—yet. Only 2.9% of Claude conversations involve emotional support, but the longest sessions hint at deeper connections ahead as AI capabilities grow.
MIT researchers monitored students' brains while they wrote essays with ChatGPT. The AI users showed weaker neural activity and couldn't quote their own work. When they switched back to writing alone, their brains stayed weakened.
Anthropic says multiple AI agents working together beat single models by 90%. The catch? They use 15x more computing power. This trade-off between performance and cost might reshape how we build AI systems for complex tasks.
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.
Meta just paid $15 billion for a 49% stake in Scale AI after its own models flopped. CEO Alexandr Wang gets control while leading Meta's new "superintelligence" team. The deal reveals how desperate big tech has become to acquire AI talent at any cost.
AI's "thinking" models hit a wall at certain complexity levels and actually reduce their reasoning effort when problems get harder. Apple researchers found these models can't follow explicit algorithms reliably, revealing gaps in logical execution that more compute can't fix.
Researchers found that AI models learn math better when punished for wrong answers than rewarded for correct ones. This challenges how we think about teaching machines and could change AI training across many fields.
Investigating the complex relationship between humans and AI chatbots. Can genuine affection develop with machines?
UC Berkeley researchers discovered AI models can teach themselves complex reasoning by monitoring their own confidence levels—no human feedback or answer keys required. The implications reach far beyond the lab.
Why do AI systems perform worse when they think harder about visual tasks? New research shows GUI agents achieve better accuracy by skipping reasoning steps that help language models excel.
A surprising new study reveals that when AI models stop to think, they actually get worse at following basic instructions.
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