How do you solve this asymmetry (frontier labs or advanced model owners v. regular companies and groups of people)? Symmetry? But along which axes?

I think there will come a time when we will ask these questions and use AI to try to answer them (soft landing, slow rollout, regulation, hybrid X, Y, Z). But then AI will be biased towards more AI if it has distilled anything of what it means to be life.

Power corrupts. Power is the problem. An imbalance of power. Maybe there will be some sort of consensus protocol between powerful models in the future. Similar to blockchain I hate to say it. Maybe you have 100 very strong models in the next 10-20 years. And basically a lot of it is powered by tokens. So you agree not to attack others or else you'll get attacked. So there's sort of this natural deterrent to not attack others and they develop independently and there's generally a power balance among things. Maybe at some point that spreads to a billion individual models operated by and/or analogous to individual humans. All sort of holding each other in check.

Professors need to step up and teach value beyond what LLMs know (very possible with or without LLMS). Or get out of the way from those building on the field with LLMs.

If you’re teaching students something that LLMs can score 100 on you are not adequately teaching them something useful for them in the future.

if ai doesn't help, then it won't help. if it does help, then you should use it. the metric is your output of whatever is being tested. writing an essay well and clearly understanding the material. solving a pset. whatever.

if you give access all the time for that, and then you test on a hard problem that could be done with or without ai, then it's fair. e.g. "clearly explain these four sentences of Y." obviously ai researching loosely and blathering isn't useful. won't be high signal / dense and correct and worthy of an 'a'. but someone who can harness ai and someone who knows the material well in the end will be rewarded the same by society. what you are testing is correctness and information density in a response. so you have to start now in accepting the reality that those who use ai to get there should be rewarded just the same as those who don't.

the burden is on educators to be as good as they can with ai if it is relevant or not if it is not relevant (and schools to fund them and ai companies to fund them if they have excess capital and are humanitarian).

and note the hard part even for us engineers at tech companies is in the correctness. it is very hard. but the sooner we start teaching how to do things correctly with ai, the more prepared the next generations will be.

(Great essay on how to be a billionaire though. Could billionaires give back more? Yes. But creating market value like that is both worth celebrating and evolving.)

E.g., if I have no noticeable tax on my wealth as I create impact for the world through my companies I'm going to keep being the one person in charge of that (to achieve my mission of reaching mars, etc.). But if I'm going to get nicked (to the tune of billions of dollars even at 2% etc), on average I'm going to redeploy my assets via people I trust in the company etc. I might even invest more in public welfare projects. It is fair arguably that there is this forcing function because one's value accrues from those projects originally. So there is an elegant symmetry at the end too.

It would be unfair to tax billionaires more if they truly worked in a vacuum and provided value to the economy through very few dependencies. But that's never the case. And right now too much excess is spent on things like these sport teams via inherited wealth etc.

Comments URL: https://news.ycombinator.com/item?id=47819798

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  system_profiler SPDisplaysDataType

  Graphics/Displays:

    Apple M4 Max:

      Chipset Model: Apple M4 Max
      Type: GPU
      Bus: Built-In
      Total Number of Cores: 40
      Vendor: Apple (0x106b)
      Metal Support: Metal 4
      Displays:
        LG UltraFine:
          Resolution: 4096 x 2304
          UI Looks like: 2048 x 1152 @ 60.00Hz
          Main Display: Yes
          Mirror: Off
          Online: Yes
          Rotation: Supported
          Automatically Adjust Brightness: Yes

Comments URL: https://news.ycombinator.com/item?id=47328118

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Comments URL: https://news.ycombinator.com/item?id=47173389

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Comments URL: https://news.ycombinator.com/item?id=47078949

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Comments URL: https://news.ycombinator.com/item?id=46939606

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Then the answer is just one prompt away… (I wish our team was more committed to 2 - will push for it more in the future). Having acceptance criteria in stories linked at the start of each sprint is so important though I think for alignment of work.