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This is signaling to non-US companies that Anthropic cannot provide reliable access to their models.

It's equally signaling that other US-based labs can't provide reliable access to their closed-weight models.

Not in the same way, no, because they have not been targeted, while they should have if the same rules applied, according to Anthropic's depiction of the situation.

This is potential tyranny aimed at Anthropic, specifically.


For anyone outside the US this is a clear statement that either models are open or they are controlled by an erratic and hostile US government.

Being a US ally has become meaningless, and using a company that’s not targeted today does nothing to protect you tomorrow.


Europe doesn't seem to care so much about erratic and hostile governments when it cozied up to Russian gas for decades, something it still continues to do just hiding behind third party countries.

It's a clear statement that European morals are purely performative

Just like how the EU is hostile towards US companies, but very light to the touch when it comes to corruption with HSBC, FIFA or VW. With such hostile and erratic allies, who needs enemies?

Let's not even get into Orban. You can never trust the EU again since who knows if they're capable of electing someone like that in the future? Trust is broken forever


The EU has elected Orban about as much as the world has elected Trump.

Great, great point. That's why people who say NATO can't be relied on anymore aren't making sense - NATO never elected Trump, so his involvement or opinion on it doesn't matter.

Yes, because they’re so bleeding edge and powerful.

Whether you believe that is another thing. But that’s the signal. It’s amazing marketing for them, even if a pain in the ass for customers rn


> because they’re so bleeding edge and powerful.

Investors will have so much FOMO over this


This is signaling to US companies that non-US providers cannot create cutting edge capabilities for their models.

Major alarm bells should be ringing for anyone not using a US-based LLM.


It also signals that Anthropic is a bad choice if you need stable access to their product outside the US.

It's ironic isn't it? All the marketing of how dangerous and powerful Mythos is and the government went "bet".

Anthropic's marketing is playing 5D chess. 4D was telling everyone it is dangerous, they knew the government would take the bait and shut it down.

Or maybe Anthropic isn't playing chess at all - these models sell themselves they are so useful and the Reddit/HN crowd is just full of larping tech bros commenting conspiracy theories non stop.


The whole point of async/await (besides allowing synchronous style code instead of callbacks) is that it lets you yield the thread efficiently back to the executor (OS threads have a massive overhead in comparison). And if you're doing something that blocks the thread instead of yielding it, you can choose between either spawn_blocking or a thread pool.

You're still cutting your annual income in half though. That's pretty big no?

I have the same feelings as the original poster as I get further into middle age and have a good retirement nest egg - for me there are things more valuable - free time and the things I want to do with it but can't get paid to do - than making more income than I really need.

How much do you have saved?

Enough that a 5% annual return is enough for me to get by. I'm certainly not done working - I want to get that to 3% or so - but it does make it a bit demotivating some days when I look outside and imagine the other things I could be doing with my time.

I mean, I'm totally with you... It's just never clear to me what "enough" is.

The thing is at some point there is very little to gain. Once you have a nice place to live and don't need to sweat over daily expenses there isn't much that significantly improves life quality other than just having more time (that is working less) for yourself and your family.

Add high taxes to this and working is even less attractive when they take 50% from you. No wonder many highly qualified people decide to pass on that deal and just do the bare minimum which in OP case is nothing.


I don't have a family, so it's manageable. If I had kids there is no way I could work part-time.

LCOL a good house might be 140k outright. Their costs are probably barely anything yearly against their returns.

To this day I do not get why Intel doesn't just offer massive memory options for their cards. Just charge what it costs to add the extra memory, no upcharge, and they will never be able to keep up with demand. Cheap VRAM is enough to justify a lot of open source investment into challenging CUDA.

> To this day I do not get why Intel doesn't just offer massive memory options for their cards.

They seem to? Intel Arc is the cheapest option by far for a discrete card with 32GB VRAM.


That’s not massive, though. Make it 96GB at $2,000 (ok, probably impossible right now, but they could have before the surge in prices) and you’ll see developers work really hard to make AI tooling work for their cards, CUDA be damned. The same goes for AMD.

It’s like they both want to rely on market segmentation for VRAM too but fail to realize that it’s their only potential inroad right now.


If you buy three 32GB GPUs, that's 96GB total at a very reasonable price. An AI model splits easily by layers, so running on multiple GPUs is quite feasible.

Doesn't split as easily on an Intel GPU as ona NVIDA GPU though, regarding software support. Sure, it's probably not too difficult if you know what you're doing, but not sure how big that market would be.

They took longer than everyone expected and then shortly after release they made announcements that made people worry that Intel might kill the project the way they tend to kill GPU projects.

(I still kinda want to get one tho.)


Missed a zero here.

Needs 320 GB Vram


Memory is just one part. AMD has had offerings competitive to NVIDIA for quite some time, but nobody uses AMD cards.

The biggest advantage with NVIDIA is CUDA.


> but nobody uses AMD cards

AMD is selling every MI card it makes, and the market wants more of them.


They are only selling because Nvidia is hard to get, and something is better than nothing.

That was the main reason for the big hype around Memristors 15 years ago. High density, high speed persistent memory to completely remove the need for hdd/ssds, potentially even removing the need for external memory altogether. So frustrating that it still seems like we're a long ways from that becoming reality. There's some renewed interest in Memristors as they can simulate neural network connections in models, so maybe the funding will return for it.

The one example of persistent memory that managed to reach the mass market was Intel Optane/3dXPoint (still popular today among people looking to save on RAM costs) and that used a kind of phase-change memory, which is but tangentially related to memristors. ReRAM is somewhat closer, but it's also been less successful so far.

Optane was still much slower than Ram. And not that much faster than NVME (theoretically)

Well, back in the day... The MacIIfx had video memory, ( dual ported ram ) that could be read and written to out of different ports. Wicked fast. It 486DX2s more than a year to catch up.

We're planning to go to Valkey for exactly that reason.

Religion relies on assumptions that cannot be proven physically, secularism just avoids those assumptions (I say this as a Christian who finds secular biblical scholarship fascinating and helpful).


Do you mean an empiricism-only view? That has its flaws as you know.


Secular humanism has been accepted as a religion for First amendment purposes.

Non theistic Buddhism is still considered a religion.

Worldview might be a better term for us to use in understanding people's first amendment rights. And also the idea that there is no neutral worldview. E.g. "secularism" is directly hostile to many religious viewpoints, and to the degree that its proponents use it to oppose religion, secularism becomes a religion/worldview/belief system.


Even without encoding, as long as decoding is supported for AV2, streaming sites like Youtube can always transcode uploads. The encoder on mobile hardware is more of a nice bonus as long as we have an AV1 encoder available in the meantime.


Youtube is doing this now. Most semi popular videos have an AV1 transcode, something interesting is I've seen youtube chooses to use the AV1 format even on my macbook which doesn't have a hardware decoder, I had a look at the CPU usage and there is a 50% load on one thread on my M1, but aside from extra battery usage, this is basically negligible since I'm likely not doing any other CPU heavy tasks while watching video.


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