we used to have an internal goal, which felt totally impossible, of an AI that could write a coherent 1000-line program. the tech has come a long way!
MACHINE LEARNING
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Gym as Reinforcement Learning Environment Discussion
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Fascinating! Does the gym represent an RL environment?
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Deep Learning Breakthrough in AI-Driven Protein Research
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Deep learning has been an absolute breakthrough in studying protein, so the idea that AI would help with that is what I would expect.
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Use MoE Models for Unified Memory Hardware Like DGX Spark
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As I have mentioned before, stop trying to get Dense models running on the DGX Spark/Mac Studios Unified Memory is best fit for MoEs because you only make each token go through a small subset of the numbers of parameters in the model Optimize for your hardware x.com/LeTechLead/sta…
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Qwen 3.5 27B Dense vs 122B MoE Compared on DGX Spark
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This guy has written an article comparing > Qwen 3.5 27B Dense vs > Qwen 3.5 122B MoE on the DGX Spark
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How AI Agents Reflect Real-World Work Benchmarks
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How Well Does Agent Development Reflect Real-World Work? https://
buff.ly/wQAIPZy
#AI #MachineLearning #DeepLearning #LLMs #DataScience AI agents are increasingly developed and evaluated on benchmarks relevant to human work -
Deep Learning Medicine Founder Discusses AI Research Expertise
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(I created the first deep learning for medicine company, and my wife is an AI researcher who has a masters in immunology, so we're involved enough in this stuff to not need to rely on instinct.)
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MedOS deployed at Stanford, presented at NVIDIA GTC as AI-native milestone
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The big deal: this isn’t a lab demo. MedOS just deployed inside Stanford Blood Center and Stanford Pathology, and it’s being presented at NVIDIA GTC: the same conference where most of the modern AI stack gets unveiled. If it works, this is the first real glimpse of AI-native
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Siri’s poor speech recognition vs. Whisper’s open-source perfection
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Siri not using Whisper is one of the strangest things in tech.
— AI Breakfast (@AiBreakfast) 14 mars 2026
Whisper: open-source, years old, near-perfect speech-to-text.
Siri: still mishears half of what you say.
Hard to believe the engineers actually dogfood the product. pic.twitter.com/s6Iqk0uQ4sSiri not using Whisper is one of the strangest things in tech. Whisper: open-source, years old, near-perfect speech-to-text. Siri: still mishears half of what you say. Hard to believe the engineers actually dogfood the product.
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Siri’s poor speech recognition baffling compared to Whisper’s accuracy.
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Siri not using Whisper is one of the strangest things in tech.
— AI Breakfast (@AiBreakfast) 14 mars 2026
Whisper: open-source, years old, near-perfect speech-to-text.
Siri: still mishears half of what you say.
Hard to believe the engineers actually dogfood the product. pic.twitter.com/s6Iqk0uQ4sSiri not using Whisper is one of the strangest things in tech. Whisper: open-source, years old, near-perfect speech-to-text. Siri: still mishears half of what you say. Hard to believe the engineers actually dogfood the product.