georgemcbay
Joined 16 years ago
Joined 16 years ago
They are also probably intentionally trying to create differentiation between their models and open models to strengthen the regulatory capture case of having the government ban open model use.
Unfortunately LLMs still optimize scams/exploits to the point that they'll probably still get to those of us heading into the permanent underclass, just a little slower.
Not yet, especially not with all of the incestuous cross-hiring that all the labs do.
But perhaps the various L. Bob Rife variants running these labs are using their advanced unreleased models to work on their own Snow Crashes.
It seems likely to me that this is also true for the Proton employees. (Though FWIW, I've had a few employers that I would absolutely proactively defend, but they are not surprisingly the same set of employers I don't think would ever need such a defense, and none of them were large companies).
I haven't been paying attention to any of this drama because I don't use Proton mail and thus don't care, but one of the screenshots on the linked reddit post that they seem to believe is exonerating the company has what appears to be the CEO of the company (I assume "Andy" is Andy Yen based on the name and profile picture) telling an employee to get on reddit with their personal account and "set the record straight".
After seeing that, I don't know how anyone is supposed to assume that anything any Proton employee says in public is anything other than PR spin originating directly from the CEO, so I don't know what kind of value any of us is supposed to get from reading any such testimony.
If "the market" believes this, I'd love for "the market" to explain to me how they think this works in practice.
Like if Anthropic hits AGI on Monday, what stops Google or OpenAI from hitting AGI on Tuesday?
There is no substantial difference in capabilities between any of these models, they are all doing the tiniest little leapfrogs over each other from release to release.
Even if the market thinks this leads to AGI, there is no reason to believe any secret magic exists that makes one of them reach AGI without the rest hitting AGI nearly immediately after.
Ask HN: Who didn't get hacked today.
Hopefully, but I think it is going to be difficult for that to happen in a positive way because AI is likely to suppress wages for most (for the reasons you mentioned) but our entire current economic system is engineered to never be deflationary.
So it is hard to imagine a situation in which AI causes us to all earn less but still be equally or better off without some pretty fundamental changes to our economic system that will be hard to get consensus on in our current political environment.
I'm not saying we're surely all doomed here, but there are going to be a lot of changes that none of us can imagine every aspect of, and they are going to happen at a surprising speed, and there are a vast number of cascading impacts that people aren't thinking much about.
eg. if you're in the trades, yes you're safer than a knowledge worker for now, but if all the knowledge workers get wiped out you're both going to have vastly decreased demand for your work (far less individuals will have the disposable income to hire you, companies will have less need for facilities to house employees, so you'll also see a retrenchment on the corporate side) and you'll start getting a labor supply glut as the knowledge workers all desperately attempt to retrain for the 'safe' jobs. And this is just the short term problem, without getting into the robotics threat.
If we don't get ahead of this problem politically (spoiler alert: we won't, at least in the US, it is unclear if we even have a functioning democracy), things are going to get very messy for virtually everyone who relies on labor income.
It is a perception management issue, not a technical limitation.
Nasdaq doesn't want to be seen as a place where people trade literal penny stocks.
Technically the major exchanges already support stock prices in a fraction of a cent (though they only unlock this for stock prices that are below $1 due to SEC Rule 612).
Almost certainly nobody if you're tracking post-IPO growth.
And not because there won't be survivors/winners when the next crash comes (there probably will be) but because of the market changes (in the wake of legislation like the JOBS act) that result in these companies having their significant growth periods prior to IPO instead of after it.
IPOs used to be a launch pad to growth, now they are just a way for private investors to finally cash out when the company is already close to peak valuation.
Different experience for me, IMO AI mode saved Google search. The classic search became pretty much worthless due to decades of SEO winning over good results. But AI mode made Google search far more useful for me and gives me what I'm looking for 99.9% of the time.
I do understand some people (website operators who used to rely on SEO or google stockholders after the recent earnings report) being upset about AI mode, but as a search user I find it much more effective than where search was just prior to AI mode.
It is entirely related to both and I'm pretty sure Gizmodo isn't trying to project blame away from climate change here.
Climate change is making unusually adverse weather events more common in general. El Niño is a cyclical event that results in an increase in adverse weather events from whatever the current baseline is.
As climate change worsens things on average, it'll worsen things even more when combined with amplification events like El Niño.
Their kid is definitely getting at least 30 dolls and 250 pencils.
I honestly don't see how this has anything to do with my reply to the original comment.
Even if you were absolutely sure LLMs were going to get as good as they are today 2 years ago, that didn't make them any more of a practical solution to the issues you were trying to solve 2 years ago.
It is likely that the SpaceX Starship will eventually be a reliable rocket platform. That doesn't mean that given the chance I would hop on the next flight.
2 years ago LLMs were a great tech demo but were mostly awful for actual practical purposes and hallucinated almost as much as they got right.
They'd be wrong today, but that's a different thing.