Not to mention included YouTube Music. It's one of the few subs I pay for, because I watch a _lot_ of YouTube on the TV. And also like to have it in the background for "Podcast" style videos where the video is really only an accompaniment.
That's actually worse. They used to have a separate YouTube subscription. I don't want (to pay for) YouTube Music, because I already have Apple Music and Tidal, which I prefer.
The US is not the world, in many countries there was a YouTube subscription without Music. I was even subscribed to it! Here is an article from the largest Dutch website that announced that Google was going to axe that subscription type:
Also, since Youtube Music is just a skin over Youtube, it's not true that your subscription must necessarily be cheaper if there were no Youtube Music.
I'm the opposite. With YouTube Music, I don't need Apple Music, Spotify, Tidal, or any other service. For me, YouTube Premium is a good deal, and other than Fubo TV it's the only streaming media subscription I have.
I mean, on your Cloud point I think AWS' moat might arguably be a set of deep integrations between services, and friendly API's that allow developers to quickly integrate and iterate.
If AWS' was still just EC2, and S3 then I would argue they had very little moat indeed.
Now, when it comes to Generative AI models, we will need to see where the dust settles. But open-weight alternatives have shown that you can get a decent level of performance on consumer grade hardware.
Training AI is absolutely a task that needs deep pockets, and heavy scale. If we settle into a world where improvements are iterative, the tooling is largely interoperable... Then OpenAI are going to have to start finding ways of making money that are not providing API access to a model. They will have to build a moat. And that moat may well be a deep set of integrations, and an ecosystem that makes moving away hard, as it arguably is with the cloud.
EC2 and S3 moat comes from extreme economies of scale. Only Google and Microsoft can compete. You would never be able to achieve S3 profitability because you are not going to get same hardware deals, same peering agreements, same data center optimization advantages. On top of that there is extremely optimized software stack (S3 runs at ~98% utilization, capacity deployed just couple weeks in advance, i.e. if they don’t install new storage, they will run out of capacity in a month).
I wouldn't call it a moat. A moat is more about switching costs rather than quality differentiation. You have a moat when your customers don't want to switch to a competitor despite that competitor having a superior product at a better price.
Yeah, when I first heard this I tried to picture an elephant. And I thought, huh. I can't. But I realised there's a vague, hazy representation of it in my mind. That idea of needing to see things with picture clarity really threw me at first.
Yep. I can picture things all right, even details such as surface texture, and if I'm eg. planning a route I'm certainly doing it in a visual way (imagining a map), but the sensation is much more "ghostly" and transient than real imagery. The same goes for other modalities like sound or smell or touch.
What? This style of site uses 1/3 of the page to display 3 icons. It was definitely a trend, but sites used to contain better information density prior to this marketing style trash site.
Yes one page with 3 buttons the buttons should be 1/3 the size of the page seems obvious literally an advanced computer algorithm determined this, but seems extremely obvious to me.
I never appreciated the value of Self-hosting until then. I was so sick of finding new services to do essentially the same thing. I just wanted some stability.
Now I can continue using the thing I was already using, and have developed my own custom RSS Reader ontop of Omnivore.
I don't need to care about things breaking my flow. I can update the parsing logic if websites break, or I want to bypass some paywalls. It really changed my view on Self-hosting.
I think protection for whistleblowers both in AI and in general is a good thing, but ... do we really need a special carveout for AI whistleblowers? Do we not already have protections for them, or is it insufficient? And if we don't have them already, why not pass general protections instead of something so hyper-specific?
(not directing these questions at you specifically, though if you know I'd certainly love to hear your thoughts)
You have to understand what the purpose of this bill is.
It's not supposed to do anything in particular. It's supposed to demonstrate to the public that lawmakers are Taking Action about this whole AI thing.
An earlier version of the bill had a bunch of aggressive requirements, most of which would have been bad. The version that passed is more along the lines of filing paperwork and new rules that are largely redundant with existing rules, which is wasteful and effectively useless. But that was the thing that satisfied the major stakeholders, because the huge corporations don't care about spending ~0% of their revenue on some extra paper pushers and the legislators now get to claim that they did something about the thing everybody is talking about.
I think the idea is that explicit protections might encourage whistle-blowing. Especially since the domain is nascent enough that it's not clear what you'd blow the whistle on that might be unique to the companies that make foundation models. In many cases, there will be whistleblowers who both disclose what is being fed into models, but also details in aggregate about what users of models can do.
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