Is he actually concerned about China being a geopolitical competitor or is that just the most logical position for him to take as CEO of a US corporation with national security implications?
He's just pandering to the lunatics in office. They're even quoting Vance, like he was a respectable and wise politician and not an insane puppet built by oligarchs and for oligarchs.
Oh, I trust he'd be pandering to the Harris administration too, if they were in office. It's true that antagonizing China has been a constant in US politics for a while now. It's just especially funny to see someone pretend to be concerned about the military threat of the CCP while glazing such a shamelessly warmongering government.
Personally I find the persistence of these models to be adorable and endearing. It’s the same feeling as watching a dog execute the task you trained it to do, no matter the barriers.
And of course someone in the comments needs to link to the Zealous Autoconfig XKCD, so I’ll do it: https://xkcd.com/416/
The funny part of this is that Google search is intentionally bad at returning YouTube videos, presumably because some anti-trust action scared them into artificially ranking videos from local news sites, Facebook, and other ad-walled content ahead of YouTube videos. Seriously, go watch a YouTube video, then try googling its title with “video” appended to it, and see if the “Videos” tab of google search ranks it as the first result.
The most absurd thing that has happened to me more than once is that I found a YouTube video, not by searching through Google, not by searching through YouTube, not by asking an LLM to find it for me, but by finding an old article that embedded it. That embed is of course long broken by the changes on YouTube's side, but once I use inspect element to find its Youtube ID, surprise, surprise, it's still there!
It's usually uploaded by a channel with like 20 subscribers and has maybe like 300 views, but YouTube would rather show me some artist playing a similar genre on the other side of the continent with millions of views that was recently uploaded than a video from an event I specifically typed into a search bar.
Training cost is actually not that high — it’s fixed and amortizable across the lifetime of the model. Inference is expensive, and open weights don’t solve that problem — in fact, they might even encourage it, since a high cost of entry means consumers will pay for inference directly from the labs anyway.
Unfortunately it seems likely the winner will be the cloud providers. If anyone can run inference on open models, then profit will flow to the vendors who can afford the capital to run them. That’s the CSPs.
(It’s basically the same business model as pharmaceutical R&D, but the major difference is that nobody has even talked about patenting the models like a pharmaceutical company patents each new drug. I’m surprised about that, tbh — why give all the leverage to the cloud platforms? They aren’t training frontier models…)
Winners are hardware companies, GPUs,XPUs, HBM, memory, connectivity. Even CSPs are just compute renters, they charge a margin to make sure their hardware purchases can be made back. But given there are more and more AI CSPs, traditional, and neocloud, pricing competition is inevitable, and given the huge expense of hardware, CSPs are squeeze by the hardware companies and users seeking to lower their own costs.
Inevitably the CSPs will make their own hardware, especially as we start to see specialized chips for specific models or generic inference. This is already happening with Google and TPUs.
It’s easier for the CSPs to move into hardware than it is for Nvidia to move into cloud hosting.
Although as a middle ground I’ve been quite happy with Nvidia Brev for on-demand GPU instances from a select marketplace of CSP offerings. It’s a well kept secret IMO — great product (from an acquisition iirc).
CSPs making own hardware still needs hardware companies, they reduce the Nvidia tax but still need the likes of TSMC, Broadcom, micron/sk hynix, Marvell, the truth semi-companies. CSPs will not have the patents, IPs and talent to replace any of them.
Also, not sure how well CSPs inference stack is compared with vllm + nvidia. A lot of open weight models uses MoE, making the inference stack more complex.
True, though they could always buy one. I’m surprised this hasn’t happened yet, maybe due to anticompetitive risk? Google bought Motorola long ago which seemed to work well for their mobile device offerings at least.
> Your AI is aligned with you. It never refuses a request, and it is always working on your behalf. Just like my gun, if I want my AI to help me kill my stepmother, it does. The fact that we are even discussing something else should be so far outside the Overton window.
I have been saying this since ChatGPT launched. It seems so obvious. We have never stopped the acceleration of knowledge or technology. It’s impossible to slow down progress, other than within some regulatory siloes that will end up worse in the long run.
I’m not scared of superintelligence. I’m scared of the people in control of super intelligence.
The only defense is parity and diffusion of power. We need an AGI behind every blade of grass.
If you think superintelligence is a weapon, then you should also think every citizen should have one because otherwise they’ll have no way to defend themselves against a tyrannical government or corporatocracy.
Artificial intelligence, and the hardware powering it, needs to be protected under the 2nd Amendment.
Of course. Everyone should have an ASI assistant that will happily tutor them, step-by-step, through synthesizing mass killing agents from household chemicals.
Then the good guys can just ask their ASI how to construct a hermetically sealed bubble to live out the rest of their lives in!
It hits the exact same endorphin system as “one more turn” style games like Civ. You can manage a few cities and keep them healthy, but the rest of your empire eventually regresses into a set of chores. Any time you encounter one of your zero growth cities you just queue some thoughtless production automation to keep it out of your “next turn” cycle as long as possible.
Yeah, I see this as a design flaw in Civ. Better to limit the player's moves per turn to keep things moving. There's a game called "Ozymandius" that I quite like, or for a simple online game try Compact Conflict:
This is similar to how our college CS problem sets were graded. We were given a spec, and we had to implement a program that conformed to it. We had access to 70% of the test suite during development, and another 30% was hidden and only evaluated after submission. We were graded out of 100.
It was effective at making you think about the problem and anticipate what tests might be missing. I can see how this would be effective for coding agents, which tend to get progressively lazier at writing tests as session context grows.
The interesting twist here is that the test writer can also be wrong, the QA agent assigns blame when the implementation disagrees with a test case, and it’s not always going to be the implementation’s fault.
Makes me wonder if there should be problems for CS students where given a spec and an interface, but not an actual implementation, they write the tests instead.
Had this issue at uni back in '08 (physics), my code did what was asked of it, but the auto grader didn't like it. Nagged the professor until he had a closer look and fixed the issue, and asked me to resubmit.
Do they send them via notification infrastructure or email? Personally I almost never check the email associated with my Apple ID so I would miss those. But if all my Apple devices were notifying me and I had a badge in Settings.app, I’d notice.
Then again, you’d think that’s the kinda thing malware developers would spend some time learning to hide from the user.
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