AI & RoboticsNews

Anthropic researchers discover the weird AI problem: Why thinking longer makes models dumber

Artificial intelligence models that spend more time “thinking” through problems don’t always perform better — and in some cases, they get significantly worse, according to new research from Anthropic that challenges a core assumption driving the AI industry’s latest scaling efforts. The study, led by Anthropic AI safety fellow Aryo Pradipta Gema and other company researchers, identifies…
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AI & RoboticsNews

Google DeepMind makes AI history with gold medal win at world’s toughest math competition

Google DeepMind announced Monday that an advanced version of its Gemini artificial intelligence model has officially achieved gold medal-level performance at the International Mathematical Olympiad, solving five of six exceptionally difficult problems and earning recognition as the first AI system to receive official gold-level grading from competition organizers. The victory advances the field of…
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AI & RoboticsNews

Finally, a dev kit for designing on-device, mobile AI apps is here: Liquid AI’s LEAP

Liquid AI, the startup formed by former Massachusetts Institute of Technology (MIT) researchers to develop novel AI model architectures beyond widely-used transformers, today announced the release of the Liquid Edge AI Platform (LEAP). The cross-platform software development kit (SDK) is designed to make it easier for developers to integrate small language models (SLMs) directly into mobile…
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AI & RoboticsNews

Weaving reality or warping it? The personalization trap in AI systems

AI represents the greatest cognitive offloading in the history of humanity. We once offloaded memory to writing, arithmetic to calculators and navigation to GPS. Now we are beginning to offload judgment, synthesis and even meaning-making to systems that speak our language, learn our habits and tailor our truths. AI systems are growing increasingly adept at recognizing our preferences, our biases…
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