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112 points favoboa | 2 comments | | HN request time: 0.445s | source
1. mike_hearn ◴[] No.44432780[source]
I wonder if NVIDIA are worried about how concentrated their AI customer base is. The paper is more like a personal blog post than a scientific investigation.

Anyway really love the idea but many years of experience with decentralization / security / privacy projects makes me think it probably won't happen. Their description of how to incorporate SLMs at the end gives the game away: it's a description of a large, complex project that requires fairly good data science skills e.g. they just casually suggest you autoclean the data of PII then run unsupervised clustering over the results to prepare data for model fine tuning using QLoRA, and then set up an automated pipeline to do this continuously. Sure. We'll get right on that.

The history of computing is pretty simple: given a choice between spending more on hardware or more on developers, we always prefer more hardware. For NVIDIA this is a good thing modulo the fact that nobody buys their hardware directly because it's too overpowered. But that's the way they've chosen to segment the market. Given a choice between using a sledgehammer to crack a nut, or to make a custom hammer for nut cracking, we're gonna spend the money on outsourced LLMs every time.

Naturally, perhaps in future LLMs will create these SLM factories for us! If you assume software is mostly written by LLMs in future then past experience about expressed preference of software teams might not apply. But we're not there yet.

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2. ◴[] No.44435691[source]