7speter

I would imagine they could split their orders between different fabricators; they can put in orders for the most cutting edge chips for the latest Macs and iPhones at TSMC and go elsewhere for less cutting edge chips?

You can use baking soda and hydrogen peroxide for a whole range of cleaning applications, as well as clearing a stopped up toilet.

1000 dollars for a vacation?

It was based on a true story, but whatever I guess

Well, The Wire shows how Baltimore’s police department attempted to underreport crimes as well.

How effective would Gelsinger be at returning after the then previous CEO took the company in a totally different path and practically trashed Gelsinger’s original plan?

Elsewhere in the thread, someone talked about how h100’s each have 80GB of vram and cost 20000 dollars.

The largest chatgpt models are maybe 1-1.5tb in size and all of that needs to load into pooled vram. That sounds daunting, but a company like open ai has countless machines that have enough of these datacenter grade gpus with gobs of vram pooled together to run their big models.

Inference is also pretty cheap, especially when a model can comfortably fit in a pool of vram. Its not that the pool of gpus spool up each time someone sends a request, but whats more likely is that there’s a queue to f requests from someone like chatgpts 700 million users, and the multiple (I have no idea how many) pools of vram keep the models in their memory to chew through that nearly perpetual queue of requests.

Your local postage carrier doesn’t build massive warehouses filled with items that people who have to pee in bottle grab off of shelves.

Vitacost.com has worked well for me.

Maybe for a big llm, but if they add some gpu cores and added a magnitude or 2 more unified memory to their i devices, or shoehorned m socs into high tier iDevices (especially as their lithography process advances), image generation becomes more viable, no? Also, I thought I read somewhere that apple wanted to infer simpler queries locally and switch to datacenter inference when the request was more complicated.

If they approach things this way, and transistor progress continues linearly (relative to the last few years) maybe they can make their first devices that can meet these goals in… 2-3 years?

The judge is claiming that because the use is of the books are “so transformative,” the usage of these books to train an llm is fair use.

I’m not familiar with the facts of the case and IANAL, and its late, but how did the plaintiffs determine their books were being used for training of the llm? Was the model spitting out language that was similar or verbatim to their works?

So wait… is whisper transcription really all that slow locally on a M3 Macbook? It’s been a while since I used whispercpp, but I seem to remember it taking maybe 20 minutes on a comparatively slowpoke (and powerhungry) i5 12600k for maybe 40 minutes of audio; it might take less time on a faster m chip (maybe I’m imagining mobile apple silicon to be more performant than even desktop intel cpus), even less if there support built in for the built in gpu cores and other ai optimized silicon?

Did I miss that the task was time sensitive?

The funniest part is if you search for Linux on tiktok you get inundated with Microsoft ads

Its kind of funny how the people who don’t want to work with “lazy,” mangly, poor people with bad teeth are the first ones to tell poor people how they could’ve made interest on 6300 dollars over 30 years.

Lightning to usb-c seems interesting… it can turn somewhat late model i devices into full fledge computers on the go, at least iirc, or you can use a nvme in an enclosure as extra storage easily.

This is assuming you don’t have one of the newer i devices that has a usb c connector, then…

Isn’t the whole body growing from the same point at the same pace in a lot of instances when someone is in the womb (except when something like thalidomide is introduced)? It would seem a big challenge would be to have a part of a human body, at any number of stages after birth, maybe especially after full development, regrow from nothing, and excluding, at the very least, the areas of the body in proximity to it.

I’m obviously not an expert.

Whats seemingly more absurd is you already paid for the phone AND the Mac you have to develop for iOS devices for

I think the only cpus with av1 support right now, whether encode, decode or both, are tile era Meteor/Lunar/Arrowlake cpus from Intel.

As a beginner, you can get a lot done on a 4060ti/5060ti 16gb, much less a 4090/5090.

Heck I’ve been able to work through the early chapters of the FastAI book using a lowly Quadro p1000

AMD isn’t doing what you’re proposing, but it seems intel is a few months out from this.

Well, AMD is supposed to be releasing UDNA next year, which will presumably ‘unite’ capabilities like raster and inference within one architecture.

I think the author is saying you commit the prompt with the resulting code. You said it yourself, storage is free, so comment the prompt along with the output (don’t comment that out that if I’m not being clear); it would show the developers(?) intent, and to some degree, almost always contribute to the documentation process.

Maybe you know this, but steam does more than get games playing on Linux. They (Valve?) have a group that develops drivers for AMD gpus on Linux. Their contributions still may not ve limited to just that primarily, but if there wasn’t Valve it would seem we’d have a lot less to play on Linux at the very least.

Wow, I was just wondering about this yesterday! I had read about how some researchers made a sort of glass out of wood and wondered if they could make resilient bottles for beverages out of a sort of maybe polymerized paper.

I dunno everyone, but I think Intel has something big on their hands with their announced workstation gpus. The b50 is a low profile card that doesn’t have a powersupply hookup because it only uses something like 60 watts, and comes with 16gb vram at a msrp of 300 dollars.

I imagine companies will have first dibs via the likes of agreements with suppliers like CDW, etc, but if Intel had enough of these battlemage dies accumulated, it could also drastically change the local ai enthusiast/hobbyist landscape; for starters this could drive down the price of workstation cards that are ideal for inference, at the very least. I’m cautiously excited.

On the AMD front (really, a sort of open compute front), Vulkan Kompute is picking up steam and it would be really cool to have a standard that mostly(?) ships with Linux, and older ports available for Freebsd, so that we can actually run free as in freedom inference locally.

Maybe I’m wrong, and maybe this was discussed previously, but of course openai keeps our data, they use it for training!

P and E cores were around on arm at least a decade before Alderlake released. I remember being told to hold out for Haswell because it was rumored to have big and little cores like arm cpus; enabling your computer to use minimal power to check for mailbox updates.

I don’t really think apple cares about gaming. AI is a big part of why their SOC’s matter (coupled with the potential to have 128-512gb of unified memory coupled with these SOCs. These chips are all about running llms locally pretty well at under 100w. Also great for creatives as well.

Usually, if you have an account that old, you built up enough karma, especially in subs you’re a regular on, to speak your mind and absorb being downvoted heavily multiple times over. Its not worth it spending time to be able to do that again on a site that is increasingly astroturfed.

I don’t think I’ve ever seen anyone use suicide rates as a sole metric for mental health crises by demographic population.