posted in Technology

AI staff 'genuinely frightened' for humanity's future, ex-Anthropic researcher tells BBC

I’m not an AI techie and I’m not well educated on LLMs/AI in general. The issue I’m having is the dichotomy between how people talk about it. I’ve heard completely opposite ends of the spectrum. From AI is quickly becoming advanced enough to threaten human society, all the way to its a glorified dictionary/search engine that can’t really do much of anything. I know Lemmy has a steep anti-AI slant. But, can someone talk about this in a way I can wrap my head around why the divide seems so big?

www.bbc.com/news/articles/c1kx0gyje9wo
Jacob Coxon, shown on the left, wearing dark frame glasses and a white collored shirt. On the right is BBC's Laura Kuenssberg in a black shirt sitting with her arms on a desk as she looks to the left of frame.www.bbc.comAI staff 'genuinely frightened' for humanity's future, ex-Anthropic researcher tells BBCIt comes as the AI firm's boss has called for the technology's development to be slowed down, citing "serious" risks.

Replying to an earlier post

I’m not pro-AI by any stretch for a huge number of reasons, but in my day job as a technical product manager I have to use a number of AI-powered tools and workflows. Whereas 18 months ago they were a novelty that the bosses were enamored of, today they get real work done and speed up a number of key areas, mainly like fancy automation workflows (which have been around forever). The rate of improvement and capability for certain use cases has been very, very rapid. We do seem to be reaching a plateau though. The tools and models from 6 months ago are just about as good as the ones from today. And China’s models from today are better than the US’s models from 6 months ago, but at a fraction of the cost.

So when I hear people talking about the “end of the world”, I think a realistic case for that is that the AI tools that come out in the next few years will be good enough to do a fair amount of white-collar work, and we won’t have a plan in place to deal with all of the now out-of-work people that leads to. Whole classes of jobs in areas like data entry, telemarketing, and customer support will be almost entirely automated out of existence. New classes of jobs will be created, of course, but it’s hard to imagine them existing in sufficient numbers to make up for the losses. And this is just for LLM-workloads.

In other areas, other types of AI are already enabling robotic automation of factories and in the near-ish future might make self-driving truck fleets practical. This would be devastating because factory workers and truck drivers make up like 30% of the US workforce – and again, there are no signs of new classes of jobs that could absorb the out-of-work workers, and no plans for a social safety net or wealth distribution.

So I’m not worried about a rogue AI unleashing some bioweapon or launching a nuclear attack. I’m worried about a bunch of CEOs deploying barely-acceptable AI to displace millions of workers as soon as it is safe(ish) to do so.

Replying to @⁨No1@aussie.zone⁩

Strangely, I haven’t read a single headline about AI making breakthroughs in Quantum computing… but you know certain players are working in that direction.

Back in the 80s they were teaching that cryptography protected secrets “for a time” and how long they need to be protected dictated how hard you go at the key length and other costs of en/decryption. By the 00s we could easily and quickly run key lengths so hard (for conventional computation) to crack that they were essentially protected “forever” - at least until quantum algorithms shake things up a bit. That’s the next unknown: when Shor’s algorithm will start delivering real world results - like the end of BTC.

en