BREAKING : Zuck announced that Meta is building 2 multi-GW clusters in US. “We're calling the first one Prometheus and it's coming online in '26. We're also building Hyperion, which will be able to scale up to 5GW over several years.“
COMPUTING
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SQL Query Processing: Schema Retrieval to Result Validation
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Overview Schema Retrieval – get database structure, tables, and sample data Query Generation – converts questions into SQL queries Query Validation – validates generated SQL queries Query Execution – execute SQL queries Result Validation – verifies if results
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Turing Completeness Enables Data Center Repurposing Across Industries
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Turing completeness is of great economic importance. Thanks to it the data centers built for crypto and VR can be repurposed for AI, and for who knows what else if the AI boom turns to bust.
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Moonshot AI Releases Kimi-K2: 1T Parameter Open-Source MoE Model
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Moonshot AI released Kimi-K2, a 1T param open-source MoE model that: —Surpasses frontier AI like GPT-4.1 and Claude Opus 4 on coding, with new highs on math and STEM
—Excels at agentic workflows with tool use
—Doesn't have multimodality or reasoning yet -
WordPress Categories for AI Topics
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CI Agent committed 19 hours ago +1 -0 lines changed
grok4_system_turn_prompt_v8.j2 -
Energy Efficiency: Bread versus Dynamite Metaphor Explained
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There’s more energy in a loaf of bread than in a stick of dynamite. It just takes longer to release.
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The Challenge of Finding Right Abstractions in AI
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i mean, sure, but coming up with the *right* abstractions is extremely hard
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AI Libraries Finally Balance Hackability With Performance
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nice trend over the last year is that folks in AI have finally produced a few libraries with the right abstractions finally our code can be both hackable and fast, not just one or the other. this never used to happen vLLM, sglang, verl..
this is the dawn of Good Software in AI -
Convolutional Neural Network Implementation on SN-1 Hardware 1988
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That convolutional net was implemented in SN-1, which was initially developed on this Amiga (and Léon's).
Training runs were executed on a Sun 4 at Bell Labs in late 1988. -
LeNet Implementation History: SN-1 Development and Early Neural Networks
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LeNet was implemented in late 1988 using SN-1 originally developed on this Amiga and on Léon's Amiga.
I finished SN during my postdoc at the University of Toronto, implemented shared weights and a graphic output.
Experiments were run on a Sun 4 at Bell Labs in late 1988.