AI & RoboticsNews

Google study shows LLMs abandon correct answers under pressure, threatening multi-turn AI systems

A new study by researchers at Google DeepMind and University College London reveals how large language models (LLMs) form, maintain and lose confidence in their answers. The findings reveal striking similarities between the cognitive biases of LLMs and humans, while also highlighting stark differences. The research reveals that LLMs can be overconfident in their own answers yet quickly lose that…
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AI & RoboticsNews

30 seconds vs. 3: The d1 reasoning framework that’s slashing AI response times

Researchers from UCLA and Meta AI have introduced d1, a novel framework using reinforcement learning (RL) to significantly enhance the reasoning capabilities of diffusion-based large language models (dLLMs). While most attention has focused on autoregressive models like GPT, dLLMs offer unique advantages. Giving them strong reasoning skills could unlock new efficiencies and applications for…
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AI & RoboticsNews

New open source AI company Deep Cogito releases first models and they’re already topping the charts

Deep Cogito, a new AI research startup based in San Francisco, officially emerged from stealth today with Cogito v1, a new line of open source large language models (LLMs) fine-tuned from Meta’s Llama 3.2 and equipped with hybrid reasoning capabilities — the ability to answer quickly and immediately, or “self-reflect” like OpenAI’s “o” series and DeepSeek R1. The company aims to push…
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