▲ | roxolotl 12 hours ago | |||||||
Absolutely couldn’t agree more. Incredibly useful tools are, in fact, incredibly useful. These discussions get clouded though when we intentionally ignore what’s being said by those doing the investing. The inevitability here isn’t that they’ll save 30% of dev time and we’ll get better software with less employees. It’s that come 2030, hell there’s that 2027 paper even, LLMs will be more effective than people at most tasks. Maybe at some point that’ll happen but looking at other normal technology[0] it takes decades. 0: https://knightcolumbia.org/content/ai-as-normal-technology | ||||||||
▲ | loudmax 11 hours ago | parent [-] | |||||||
Looking at the rollout of the internet, it did take decades. There was a lot of nonsensical hype in the dotcom era, most famously pets.com taking out an ad during the Superbowl. Most of those companies burned through their VC and went out of business. Yet here we are today. It's totally normal to get your pet food from chewy.com and modern life without the internet is unimaginable. Today we see a clear path toward machines that can take on most of the intellectual labor that humans do. Scott Alexander's 2027 time frame seems optimistic (or pessimistic, depending on how you feel about the outcome). But by say 2037? The only way that vision of the future doesn't come true is economic collapse that puts us back to 20th century technology. Focusing on whether the technology is LLMs or diffusion models or whatever is splitting hairs. | ||||||||
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