Software engineering has been within 6 months of being dead continually since early 2023
@fchollet
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Keras 3 JAX Backend: Easy Adoption with KerasHub Integration
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If you want an easy way to adopt JAX, use Keras 3 with the JAX backend. Need pretrained models? KerasHub gives you access to any model from Hugging Face. All running with native JAX performance.
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JAX: A Competitive Advantage You Can’t Ignore
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If you're not using JAX, you're missing out on a huge competitive advantage.
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Accelerate GPU Training in Colab with TPU Runtime and steps_per_execution
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If you're using Colab and you feel like training your model on GPU is slow, switch to the TPU runtime and tune the "steps_per_execution" parameter in model.compile() (higher = more work being done on device before moving back to host RAM) Can often see a 4-5x speedup.
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Theory from Experimentation: The Role of Data in Deep Learning Research
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It's closer to the other way around — I arrived at these ideas by doing experimental deep learning research and trying to make sense of my results. Theorizing requires data. And once you have the theory you must test it — which is why I made ARC (an experimental test) and
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ML Research: Engineering Practice Over Philosophical Speculation
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ML research is an engineering discipline, not a philosophy seminar. You build, you test, you learn. Untested ideas are just speculation.
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Autonomy Requires Embodiment to Seek Problems and Solutions
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If you want it to be autonomous it should be able to seek new problems to solve (and the means to solve them) on its own, which requires embodiment in some form (not necessarily physical)
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Scalable and Compounding AI Architecture Benefits
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What's better than a scalable AI architecture? A scalable *and compounding* AI architecture.
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Autonomous AI Through Dynamic Model Synthesis and Self-Improving Abstractions
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The path to autonomous AI is a system that learns to solve new problems by synthesizing models of them on the fly (as code), and that gets smarter over time by adding new abstractions to its own library (also as code), compounding its capabilities. Not a static map — rather, an
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Distribution Matters More Than Speed in GenAI Commodity Market
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Absolutely, it will take them some time to get the execution right, but as we're seeing with Google distribution is far more important than time to market. Sota GenAI is becoming a commodity tech and as such it will help companies with established distribution.