Microsoft CTO Kevin Scott is of course not a reliable source due to conflict of interest and his position in the US corporate world.
If anything, the fact that he is doing damage control PR around “LLM scaling laws” suggests something is amiss. Let’s see how things develop.
Given Microsoft’s investment in OpenAI and strong marketing of its own Microsoft Copilot AI features, the company has a strong interest in maintaining the perception of continued progress, even if the tech stalls.
I believe this sums it up.
Yeah. There’s a very narrow corner that demands huge models, and that’s use cases where there’s no room for mistakes. That space is exciting, but also deeply bogged down in uncertainty, due both to laws and as-yet-undelivered, but 100% certainly coming-soon, law-creating-disasters.
Everywhere else, I suspect we’ve seen as good as we’re going to get, from current generation AI.
Tech firm CEOs know this too, but there’s not much interesting on the table to “bet the farm” on to court “swing for the fences” investors (gullible suckers) right now.
While I agree about the conflict of interest, I would largely say the same thing despite no such conflict of interest. However I see intelligence as a modular and many dimensional concept. If it scales as anticipated, it will still need to be organized into different forms of informational or computational flow for anything resembling an actively intelligent system.
On that note, the recent developments with active inference like RXinfer are astonishing given the current level of attention being paid. Seeing how llms are being treated, I’m almost glad it’s not being absorbed into the hype and hate cycle.
TLDR: he thinks the techniques are fine and you can just brute force them for the foreseeable future.
Yeah… Why does it sound dumb in so many level?
Because he’s a salesman, and he’s selling you bullshit.
What the experts are now saying is that it looks like the LLM approach to AI will require exponentially larger amounts of training data (and data processing) to achieve linear growth. Next generation AI models will cost ten times as much to train, and the generation after that will cost ten times as much again.
The whole thing is a giant con. Kevin is just trying to keep investor confidence floating for a little longer.
And the harder the sell, the worse the product.
lol I honestly needed to open the article to parse the title. That’s why I posted.
But I’m definitely of the belief that you need a hell of a lot more architecture than they have to go meaningfully further. Humans are a hell of a lot more complicated than a bit like of neurons.
