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The context window is a transcript, not a mind: it settles what was said, never what was learned. A record's authority ends at what it recorded - what it means is decided downstream. #ai #machinelearning https://seldondance.substack.com/p/what-the-ledger-isnt-allowed-to-decide
๐ฌ Computer Science | Fully funded PhD fellowship in Resource Efficiency for Generative AI @ Faculty of Science The work centers on tracking energy and compute costs across generative models to make them run leaner. https://employment.ku.dk/phd/?show=169080 #MachineLearning #AIJobs
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The fanatics aren't mad. The system works exactly as built - the build was the insanity. Every AI threshold crossed without a gate is a decision someone shipped. The Ferret Problem: #futurism #machinelearning https://seldondance.substack.com/p/the-ferret-problem
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A model retirement is somebody else's release plan executing on your dependency graph. Rented stack: their calendar is your policy. Held stack: the sunset lands as a swap. The MAoE Gambit: #ai #machinelearning https://seldondance.substack.com/p/the-maoe-gambit-own-your-ai-stack
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A model judging another model has no outside. Detectors run on the same machinery as the slop they police: one automation auditing another. Yours is the residue automation can't generate. #machinelearning #ai https://seldondance.substack.com/p/automated-intelligence-is-not-artificial
Preference is a specified operating property: resistance to a named pressure, transmission when the facts change, on a named load. Where does the model sit is only the spec when the job is the origin. The Shaft at Rest: #ai #machinelearning https://seldondance.substack.com/p/the-shaft-at-rest
Same 100k tokens both ways: cents on one model, nine dollars on another - a 150x spread on work where quality often ties. At that spread, model choice is a per-call policy, not a procurement line. The Multi-Model AI Era: #ai #machinelearning https://seldondance.substack.com/p/the-multimodel-ai-era