AI Engineering Signal #111
OpenAI's Jalapeño chip beats Nvidia on first inference benchmarks
Signals
OpenAI's Jalapeño chip beats Nvidia on first inference benchmarks
Revise GPU procurement and serving cost models for OpenAI-scale inference workloads.
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Apple ships M6 and M5 Ultra
Re-benchmark Mac Studio nodes for local Mixture-of-Experts inference.
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Figure releases 16M-video robot dataset
Embodied training shifts to paid crowd capture; plan data licensing and storage.
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Simulation becomes new scaling law
Synthetic rollout costs drop enough to replace many live-agent evals.
Latent Space
Debian polls developers on bot patches
Merge gates for AI-generated code need provenance and maintainer override paths.
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Brain compresses noisy world via new framework
Rerun multimodal tokenizer ablations using sensory compression bottlenecks, not just patch embeddings.
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The Take
Inference silicon, robot data, and evaluation economics are shifting at once — rebuild cost and storage assumptions before defaults bite; open-source maintenance is next to require patch provenance.
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