3 ms·
For LLMs and generative AI we’re likely at the start of the curve. Things take longer than you expect in the short-term and less time than you expect in the lon
by gerad 3y ago
For LLMs and generative AI we’re likely at the start of the curve. Things take longer than you expect in the short-term and less time than you expect in the long-term.
After this hype cycle ends, things will probably bump along slowly for a decade or so, then suddenly you’ll look up and they’ll be everywhere, and you’ll wonder “when did that happen?”
At least that’s the way it felt for other technologies to me. Internet, Bluetooth, cell phones, etc.
- janalsncm 3y ago> After this hype cycle ends, things will probably bump along slowly for a decade or so, then suddenly you’ll look up and they’ll be everywhere, and you’ll wonder “when did that happen?” The reason this is incorrect is that “AI” isn’t one capability. It’s a huge swath of capabilities under the umbrella of “automate X”. All of them have been enabled by software and hardware improvements over the last decades. The underlying technologies aren’t that new in many cases either, it’s just the scale that’s different. After we get bored of one huge new capability, another comes along. A year ago everyone was talking about automatic image generation. Now it’s automatic text generation. There are plenty of other things we’d like to automate. So the hype train is likely to continue for quite a while.