The impact of AI for surgery (pre-op, intraop, post-op) is going to be extensive
A new review https://
frontiersin.org/journals/scien
ce/articles/10.3389/fsci.2026.1783803/full
…
Our previous review @NatureMedicine https://
nature.com/articles/s4159
1-024-02970-3
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RESEARCH
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AI’s Extensive Impact on Surgical Workflows
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AI learns to predict future as neural networks anticipate moving targets
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AI just learned to predict the future, not just react to it.
— AlphaSignal AI (@AlphaSignalAI) 7 mai 2026
A new paper just cracked open how neural networks learn to predict.
Researchers trained recurrent neural networks to chase a moving target.
Some learned to react. Others learned to anticipate.
The difference… pic.twitter.com/zemHjovUqhAI just learned to predict the future, not just react to it. A new paper just cracked open how neural networks learn to predict. Researchers trained recurrent neural networks to chase a moving target. Some learned to react. Others learned to anticipate. The difference
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Technical history of voice synthesis research and POCs
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Lesquels, par exemple ? Les 3 secondes d’enregistrement, c’est un truc qui était sorti chez Microsoft en 2023. OpenAI avait parlé de 15 secondes en 2022, mais ce n’est jamais sorti. Parce que c’étaient juste des POC théoriques, pas des méthodes réellement utilisables.
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PhysForge: Generating Physics-Grounded 3D Assets for Virtual Worlds
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PhysForge
— AK (@_akhaliq) 7 mai 2026
Generating Physics-Grounded 3D Assets for Interactive Virtual World
paper: https://t.co/MMb7IduQ9v pic.twitter.com/rkt9gKjzrpPhysForge Generating Physics-Grounded 3D Assets for Interactive Virtual World paper: https://
huggingface.co/papers/2605.05
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Stream-R1: Reliability-Perplexity Aware Reward Distillation for Streaming Video Generation
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Stream-R1 Reliability-Perplexity Aware Reward Distillation for Streaming Generation paper: https://
huggingface.co/papers/2605.03
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RLDX-1 Technical Report published on Hugging Face
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RLDX-1 Technical Report
— AK (@_akhaliq) 7 mai 2026
paper: https://t.co/K5CfQLJNEO pic.twitter.com/7N5bEKem4yRLDX-1 Technical Report
paper:
https://
huggingface.co/papers/2605.03
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Four Benefits of Data Augmentation: Overfitting, Robustness, Small Data, Soft Boundaries
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The four benefits in order of impact: 1. Prevents overfitting (the big one)
2. Adversarial robustness
3. Augments small datasets
4. Softer decision boundaries Used by experts. Skipped by most novices. Don't be a novice. -
AI Systems Enhancing and Controlling AI R&D
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AI-driven R&D We expect AI systems to contribute more and more to AI R&D: that is, to be able to improve themselves. We’re researching techniques to ensure human visibility into and control over these systems.
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Anthropic Institute Announces AI-Focused Research Agenda
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We’re sharing the research agenda of The Anthropic Institute, or TAI. TAI will focus on four areas: 1) Economic diffusion
2) Threats and resilience
3) AI systems in the wild
4) AI-driven R&D Read the full agenda: -
Short benchmark to test AI understanding based on Sutskever’s List
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Message from @rheimann … “I put together a short benchmark based on Sutskever’s List that tries to test actual understanding. Thought you might find it interesting”: