OpenAI, Google, Anthropic admit they can’t scale up their chatbots any further
OpenAI, Google, Anthropic admit they can’t scale up their chatbots any further
Once you’ve trained your large language model on the entire written output of humanity, where do you go? Here’s Ilya Sutskever, ex-OpenAI, admitting to Reuters that they’ve plateaued: [Reuters] The…
I'm usually the one saying "AI is already as good as it's gonna get, for a long while."
This article, in contrast, is quotes from folks making the next AI generation - saying the same.
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It's pretty obvious that they will hit a ceiling.
Quick buck is over. And now it's time again for base research to create better approach.
I really wish we had a really advanced AI with reasonable resource consumption within my lifetime. I don't think it's unreasonable as we have got really far in the last 30 years of computational technology.
I really wish we had a really advanced AI with reasonable resource consumption within my lifetime.
You only wish that for as long as it doesn't happen. Have you looked at the world we live in? Such tools would be controlled by the same billionaire dipshits for their personal gain as all social media is being used already.
It open the gates for open source development, as the social media we are right now.
That made less than zero sense...
We've come a long way in computing, but the computational power difference between a human brain and a computer is significant. LLMs were just a smart way to have computers learn pattern recognition. While important, it isn't anything close to artificial general intelligence (AGI), which is what the term AI usually means.
Yeah. AI may grind for a while but hardly anyone has put the current stuff to work, yet. We will be feeling the benefits of what is released right now for a decade to come. I am working on a very rudimentary application that will use ML at work and it won't come out for 12 more months, and it hardly does anything but make the most obvious decisions 10m times faster than I can. But it's going to fundamentally change our labor model.
There are regular folks applying amazing technologies that go way beyond content generation.
The tech may grind but the application of that tech is barely getting its feet and should run hard for a decade.