“Free market” fans when free market

The speed of many machine learning models is bound by the speed of the memory they’re loaded on so that’s probably the biggest one.

You can’t believe everything you read in the globe and mail

They’ll sell each of them off to be run into the ground by some other billionaires. Both are heavily subsidized by Google’s ad business which is still somewhat unobtrusive up front. As much as Google’s services have degraded, it will be much worse with another company at the helm trying to squeeze as much value out of their investment as possible.

They’re already lying to get passed the 13 year requirement so I doubt it would make any difference.

I’m sure the machine running it was quite warm actually.

Partnered with Adobe research so we’re never going to get the actual model.

This has more to do with how much chess data was fed into the model than any kind of reasoning ability. A 50M model can learn to play at 1500 elo with enough training: https://adamkarvonen.github.io/machine_learning/2024/01/03/chess-world-models.html

The “AI PC” specification requires a minimum of 40TOPs of AI compute which is over double the 18TOPs in the current M3s. Direct comparison doesn’t really work though.

What really matters is how it’s made available for development. The Neural engine is basically a black box. It can’t be incorporated into any low level projects because it’s only made available through a high-level swift api. Intel by comparison seems to be targeting pytorch acceleration with their libraries.

Do another 2 day blackout. That’ll show 'em.

This article is grossly overstating the findings of the paper. It’s true that bad generated data hurts model performance, but that’s true of bad human data as well. The paper used opt125M as their generator model, a very small research model with fairly low quality and often incoherent outputs. The higher quality generated data which makes up a majority of the generated text online is far less of an issue. The use of generated data to improve output consistency is a common practice for both text and image models.

It’s size makes it basically useless. It underperforms models even in it’s active weight class. It’s nice that it’s available but Grok-0 would have been far more interesting.

I feel like the whole Reddit AI deal is a trap. If any real judgment comes down about data use Reddit is an easy scapegoat. There was basically nothing stopping them from scraping the site for free.

I got locked out of my now 8+ year old account because I had set it up with an old ISP provided email which has since been deactivated. I can’t migrate because I have to verify with the email and I can’t change the email without setting up security questions, which also requires the email. Support can do nothing.

I don’t think they care about the images being used, just the disruption of service. It’s pretty clear that this wasn’t a coordinated thing from Stability and was at most a lone individual acting in bad faith.

It’s pretty ironic though that the company that practices mass scraping has no rate limits to prevent outages due to mass scraping.

According to the article:

They are asking a federal judge to say yes to this, specifically:

Developing or distributing software, including Yuzu, that in its ordinary course functions only when cryptographic keys are integrated without authorization, violates the Digital Millennium Copyright Act’s prohibition on trafficking in devices that circumvent effective technological measures, because the software is primarily designed for the purpose of circumventing technological measures.

So I think they’re definitely intending to set precedent with this case, though this settlement hasn’t been accepted by the court yet.

I believe USB-C is the only connector supported for carrying DisplayPort signals other than DisplayPort itself.

The biggest issue with USB-C for display in my opinion is that cable specs vary so much. A cable with a type c end could carry anywhere from 60-10000MB/s and deliver anywhere from 5-240W. What’s worse is that most aren’t labeled, so even if you know what spec you need you’re going to have a hell of a time finding it in a pile of identical black cables.

Not that I dislike USB-C. It’s a great connector, but the branding of USB has always been a mess.

VESA or bust

USB-C display output uses the Display Port protocol

This looks like an ad. They go on about what their proprietary detection method found without any details about how it came to these conclusions or even how they generated the test data. They give 0 actual examples for any of their claims.

Here’s the original blog post the article is referencing: https://copyleaks.com/blog/copyleaks-ai-plagiarism-analysis-report