Thank you … this certainly was and still is one of my favourite projects. The moment @scott_e_reed and I saw GPT we started working on Generalist AgenT One (GATO). We strongly believed a model could do anything a human could do from motor control, to perception, generation,
MACHINE LEARNING
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AI Coding Assistants’ Hidden Delivery Stability Drop
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Everyone's celebrating AI coding assistants, but nobody's talking about the 7.2% drop in delivery stability that comes with them. DORA just dropped a bombshell report on generative AI in software development, and the findings are way more complicated than the hype suggests. The
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Newton’s Laws: The Ultimate AI Model Without Training Data
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My model needs zero training data, has only a few parameters, and can predict all future inputs from just the current one. It’s called Newton’s laws.
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AI Progress Models: Beyond Linear Log-Scale Assumptions
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It’s remarkable that so many of the people training the most complex models ever can’t think of a better model for their progress than an endless straight line on a log plot.
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From Few-Shot to Zero-Shot: The Next AI Frontier
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In 2020, OpenAI showed that language models are few-shot learners. In 2022, ChatGPT was released. By 2025, Google DeepMind demonstrated that video models are zero-shot learners and reasoners. What’s next?
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Ten Principles of AI Agent Economics
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Ten Principles of AI Agent Economics Ke Yang, ChengXiang Zhai: https://
arxiv.org/abs/2505.20273 #ArtificialIntelligence #DeepLearning #MachineLearning -
Algorithmic Trading with Python: Modern Quant Methods
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The book “#AlgorithmicTrading with Python” discusses modern quant trading methods in #Python with a heavy focus on PANDAS, Numpy, and scikit-learn. Get it at: http://
amzn.to/3uvYlKk by @__chrisconlan__
+ Get free code from the book here: https://
github.com/chrisconlan/al
gorithmic-trading-with-python
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AI-Designed Materials Revolutionize Quantum Technology Development
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5. In the coming years, we may see the first real-world quantum technologies born from AI-designed materials – from more stable qubits to properties we can only dream of today. The approach is described in a paper published by Nature Materials. https://
nature.com/articles/s4156
3-025-02355-y
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SCIGEN AI discovers exotic materials with Kagome and Archimedean lattices
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4. With SCIGEN, AI proposed millions of candidates and directly enabled the synthesis of two exotic materials with Kagome and Archimedean lattices. This could open doors for quantum computers, superconductors, and other transformative technologies.
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SCIGEN Framework: Constraining AI Models with Structural Rules for Materials
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3. The team created SCIGEN – a framework that constrains AI models with strict structural rules. Think of it as giving the model a detailed blueprint: only certain patterns are allowed, guiding it toward materials with targeted properties.