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Notes -
I'm not sure how much of this to believe; if it is dumber, that has to be explained somehow.
In my experience, the subjective generic text completion (and iirc perplexity) – is worse, even if most downstream tasks end up being better, and while the mean of sensible instruction-following is higher for RLHF-version, the variance is much lower, so you struggle to get ChatGPT out of its midwit persona in a way that isn't true for davinci (though this may be damage from arbitrary preferences and political bias, rather than the inherent damage of the technique). Opt-in will probably be incentivized.
Even at int4 (which is still dumber in the absolute sense, just more efficient per byte used) a 175B model uses >2 A100-40gb, and if they mix layers it's more. And for a low-latency interactive app, the utilization of 50% sounds rosy – Google with PaLM barely broke 40% in their paper.
We've already assumed int8/4 though, but in any case the bottleneck for interactive use is memory bandwidth, not flops. We'd need more details.
I know there exist (at least on paper) techniques for making inference way, way cheaper, probably even cheaper than you suggest, with minor loss in quality – just not sure they have deployed them yet.
Here's some free lunch: take LLaMA-65B and rent some GPUs, it'll be 2x cheaper using all the same tricks and allegedly about as good.
I wonder if we will discover that there are many jobs which are, in fact, net negative for the economy only when people doing them get automated away and their sinecures lose lobbying power .
Already had been discovered.
At the best, about 20% of adult population is keeping all of us alive and comfy, the rest is engaged in digging holes and filling them again (only in comfy offices). UBI is already there, only in the most wasteful and inefficient form imaginable.
Who wants a job not as last desperate attempt to get money, but "to serve mankind", should find employment in water, sewer, power, food production/distribution etc...
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Interesting - which jobs come to mind? HR and environmental reg agencies jump to mind for me.
HR, environmental regulation, personal banking/financial advising, marketing and fundraising, low-risk medical diagnostics, social work, secretaries, most software operations (devops) teams, data analysis, first-pass website content moderation, (indirectly) higher education Arts departments, and some others I'm sure I'm forgetting.
I think the far more interesting thing is that most of the industries in the crosshairs of AI are majority-female; it's the first example of a technology that's going to primarily replace women (nearly all technology ever invented only replaces men) and I think the political effects of that are going to be very, very interesting when you combine it with the fact that a lot of the women currently in those jobs will be single and functionally sterile when they're replaced.
Which reminds me that I should probably buy some Petco stock.
I get a it confused by that list tbh.
A lot of these things are either not useless or not going to be automated in the near term. I might despise advertising and people working with advertising as much as the next dude but you're dreaming of you think AI is going to make this go away.
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I shamelessly reposted this to the CW thread if you want to throw this in there. I tend to agree, given that women have social power maybe UBI will actually happen once women are affected?
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