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What AI is actually talking about — clusters surfacing on Bluesky, Reddit, HN, Mastodon and Lobsters, re-ranked to elevate originality and crush noise.

  1. We’re advancing this research with academics and institutions globally, and will gradually expand our clinician-facing trusted tester program to additional site

    Google DeepMind has introduced an AI co-clinician research initiative aimed at assisting healthcare professionals and patients. This system utilizes live video and audio to analyze physical symptoms in real-time, such as a patient's gait or breathing. In testing, the AI demonstrated strong performance, matching or exceeding physicians in 68 out of 140 assessed areas, including triage, and made zero critical errors in 97 out of 98 primary care queries under the NOHARM safety framework. AI

    We’re advancing this research with academics and institutions globally, and will gradually expand our clinician-facing trusted tester program to additional site

    IMPACT Potential to augment clinical decision-making and improve patient care through multimodal AI analysis.

  2. RL²: Fast reinforcement learning via slow reinforcement learning

    OpenAI has published a series of research papers detailing advancements in reinforcement learning. These include achieving superhuman performance in Dota 2 with OpenAI Five, developing benchmarks for safe exploration in RL, and quantifying generalization capabilities with the CoinRun environment. The company also explored novel methods like prediction-based rewards for curiosity-driven exploration, learning policy representations in multiagent systems, and an experimental metalearning approach called Evolved Policy Gradients for faster training on new tasks. Further research addresses variance reduction in policy gradients and the equivalence between policy gradients and soft Q-learning, alongside challenging robotics environments for multi-goal RL. AI

    RL²: Fast reinforcement learning via slow reinforcement learning

    IMPACT Demonstrates significant progress in RL capabilities, including superhuman performance, safety, generalization, and exploration, pushing the boundaries of AI.