- 21 days
I think the author is mostly right about the current state of AI, but his future predictions (or worries) are based on a false premise: that the massive LLMs will keep improving in the future.
As far as I have seen the improvements have clearly slowed down, while the energy consumption is rising linearly (or worse). It’s like the energy (money) vs. performance graph is logarithmic, and the companies are expending double the energy to get a 10% improvement. Something like that is not sustainable, and the money seems to indicate so.
I really think that LLMs are a dead-end for AI. A really useful dead-end, once the bubble pops and with time, we get a useful working model for them, probably based mostly on local LLMs, maybe using specialized training data.
Y’all Software engineers went out to become programmers and made upwards of 300k a year as entry level job. Now you have a tough time like the rest of the working population? What 70k a year not good enough anymore? Get fucked.
- 21 days
I feel you, but most of us don’t work for silicon valley, in most countries the salaries are average to slightly above average, and being fired or forced to work with tools you don’t want sucks, which is also a workers issue