Philippe Lemoine

163.6K posts

Philippe Lemoine

Philippe Lemoine

@phl43

Just a random person writing about stuff. "At least he's pretty smart." (@bechhof)

Washington DC Katılım Nisan 2017
1.8K Takip Edilen68.8K Takipçiler
Philippe Lemoine
@Stillpdv @henrytdowling Yes, of course he wasn't merely predicting that it would happen but clearly thinks that's also what the administration should do, let's be real here.
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Still📷
Still📷@Stillpdv·
@henrytdowling @phl43 When he implies that FUD is the administration's "best strategy" under the guise of impartial analysis
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Philippe Lemoine
@tylermacro10 I think he made several mistakes today. He created a lot of play, and once again showed how insanely talented he was, but often was too sloppy in the last gesture.
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tylermcclellan
tylermcclellan@tylermacro10·
@phl43 Olise was v poor against Spain His only bad game. Probably that simple
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Philippe Lemoine
Philippe Lemoine@phl43·
Most of the enormous capital expenditures we're seeing in the AI sector at the moment don't go to model development, but is used to create the infrastructure that, based on projected demand as the capabilities of models improve and businesses learn to use AI, will be needed to serve future models. Either capabilities will increase and businesses will learn to use AI at the projected rate so demand will be sufficient to generate enough returns on those capital expenditures or they won't and there will be excess capacity. In the former case, investors will presumably continue to expect to earn a good enough return if they continue to fund expansion, so there is no need for the state to help finance the continued expansion. Note that it doesn't really matter whether the models are open weights or not here, the investment to create the compute to serve them will have to be made regardless. In the latter case, on the other hand, it means that model capabilities or the demand from businesses have not grown fast enough to use existing capacity, in which case the state shouldn't finance further expansion and make the overcapacity problem even worse. In that case, the investment to create that much compute shouldn't have been made in the first place. So I think this argument is confused, because it assumes that two things that are mutually inconsistent will happen at the same time: AI will be so successful that we'll need more compute to support the expansion of AI use, but there won't be enough demand for the investments needed to create that capacity to generate sufficient returns, hence the state will have to intervene. I'm not saying that state intervention is never justified, market imperfections exist and sometimes they justify state intervention, but as far as I can tell in this case people are making the case for state intervention without having shown there was any market imperfection, let alone made the case that state intervention would actually help and not make things worse.
Andrew Curran@AndrewCurran_

Dean Ball took a lot of heat this week for calling open source decelerationist. Many people read this as him being personally anti-open source. I don't think that's true. This was my interpretation of what he was saying: if open source is sufficiently capable and ubiquitous, it will eventually destroy the big labs business models. This means they would no longer have funding. To quote Ilya Sutskever from his testimony in the OpenAI vs. Elon Musk trial: 'If there is no funding, there is no big computer.' And without big computer, there can't be big model. In my opinion, what would happen next in this scenario is that the United States Government would step in, nationalize the leading labs, consolidate them into a single federal entity, and then fund it directly through the Department of War under national security. To put into perspective how easily they could do this, the proposed 2027 defense budget is $1.5 trillion. Most people who strongly support open source would probably not see that outcome as ideal, or this future as a pleasant one. This doesn't mean we should abandon open source or stop wishing for its success. It simply means we should take the middle path. There is fire on both sides of us now, and that will likely remain true for the foreseeable future.

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Philippe Lemoine
Philippe Lemoine@phl43·
It’s really wild that he openly wrote that but it was refreshingly honest and a nice change from people tying themselves in knots to pretend that it’s about something else and making insanely stupid arguments about how Chinese models won’t talk about Tiananmen or whatever.
SE Gyges@segyges

I appreciate that Dean Ball, Head of Strategic Futures at OpenAI and former Senior Policy Advisor to the White House, is just directly saying, under his legal name, that the purpose of introducing nonsensical regulations is to hurt open source and favor incumbent corporations

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tylermcclellan
tylermcclellan@tylermacro10·
@phl43 We will win the next few competitions if we overhaul midfield and defense Upemecano was excellent and e dens build on that
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Philippe Lemoine
Philippe Lemoine@phl43·
@PIP1111111111 @_everythingism People are trying to explain to me that I should be concerned that consumers are benefiting from competition because of hypothetical scenarios that are highly unlikely and wouldn't even be bad for them. x.com/phl43/status/2…
Philippe Lemoine@phl43

If AI companies can't capture the value deriving from demand for tokens, they will just be bought by the companies that do (the hyperscalers that are serving the models for instance), which then will finance further investments in model development out of the profits they generate thanks to AI. In practice, that's already the case to a large extent, because whether in the US or in China most of the capital used to finance model development directly or indirectly comes from the companies that own the infrastructure used to serve the models. They won't stop investing in model development as long as they think that it will improve capabilities enough to give companies that can serve the best models a competitive edge. I guess many people fear that, if the open weights model wins, people will stop investing in model development because of a collective action problem, as every company will anticipate that if they invest in model development other companies that didn't will be able to capture part of the value created by more capable models without having paid for it. But if that's the case they will simply close their models and the open weights model will not win in the end. I think right now Chinese companies have adopted that model because they're lagging behind in capabilities and that's a way to make up for that, but unless there is another benefit to making their models open weights, they will eventually close them once they have caught up. Ball seems to think that, unless the government intervenes to protect US companies from Chinese open weight models, the Chinese government may prevent that from happening by subsidizing companies that invest in model development so they will keep making those investments, but that's not what is going on at the moment. For instance most of the capital raised by Moonshot comes from private Chinese hyperscalers and, although I have no doubt that people will twist themselves into a pretzel to argue that it's not really private capital due to the Chinese government's role in the economy, that's just a far-fetched argument people only make because it supports a pre-existing conclusion. Should that eventually happen, it will just mean that China is subsidizing consumers abroad, which if you ask me would be pretty stupid of them but if they want to make the Chinese taxpayer pay so that people in the rest of the world can have nice things I don't see why I should care. People will raise concerns about censorship or whatever, but in that scenario the models are open weights, so it can easily be post-trained out of them. I know people will also say that, once China has killed the AI industry elsewhere, they can close the models and we'll be stuck with theirs, but I don't think that's realistic as in that case Western governments could just ban Chinese models to support their AI industry and frankly I think that scenario is just paranoia without any basis anyway.

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Space Engineer
Space Engineer@PIP1111111111·
@phl43 @_everythingism You are missing the contention, the expected return that the AI labs can capture will go down if they compete with a lot of smaller companies and services that offer these open Models
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Philippe Lemoine retweetledi
Alex Tabarrok
Alex Tabarrok@ATabarrok·
Never leaving this website:
Alex Tabarrok tweet media
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Sam Dumitriu
Sam Dumitriu@Sam_Dumitriu·
It was smart of Tuchel to rest Saka against Argentina so he could be fully fit for the third place playoff.
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Philippe Lemoine
Philippe Lemoine@phl43·
Bon, nous avons certes perdu, mais l’honneur est sauf.
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Philippe Lemoine
Philippe Lemoine@phl43·
I feel like I’ve been toyed with by a cruel god.
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Philippe Lemoine
Philippe Lemoine@phl43·
Comment peut-on gâcher un corner comme ça à ce moment-là !?
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Philippe Lemoine
Philippe Lemoine@phl43·
Deschamps talked to every player at half-time and promised them he would personally murder their entire family if they didn’t get their shit together.
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Philippe Lemoine
Philippe Lemoine@phl43·
Upamecano was arguably the best French player of the tournament and he is proving how much we depended on him again.
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