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  • 7/4/2025
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Welcome to DailyMotyon Movies!

Your daily dose of inspirational and motivational movies to help you achieve your goals and live your best life.

At DailyMotyon Movies, we believe that movies have the power to inspire, motivate, and transform lives. Our mission is to provide you with a curated selection of movies that will motivate and inspire you to take action, pursue your passions, and live a more fulfilling life.

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Transcript
00:00OpenAI, which is only really open about consuming all the world's energy,
00:04just got rattled to its core. DeepSeek, a new AI startup run by a Chinese hedge fund,
00:09created a new open weights model called R1 that allegedly beats OpenAI's best models
00:15in most metrics. And they did it for $6 million, with GPUs that run at half the
00:21memory bandwidth of OpenAI's. Tony Stark was able to build this in a cave with a bunch of scraps!
00:28Besides the embarrassment of a Chinese startup beating OpenAI using 1% of the resources,
00:33their model can distill other models to make them run better on slower hardware.
00:38Meaning, this Raspberry Pi can run one of the best local Quen AI models even better now.
00:43OpenAI's entire moat is predicated on people not having access to the insane energy and GPU
00:49resources to train and run massive AI models. But that moat disappears if anyone can buy a GPU
00:56and run a model that's good enough, for free, anytime they want.
01:00But sensationalist headlines aren't telling you the full story. This Raspberry Pi can technically
01:05run DeepSeek R1. But it's not the same thing as DeepSeek R1 671B, which is a 400GB model.
01:12That model, the one that actually beats ChatGPT, still requires a massive amount of GPU compute.
01:18But the big difference is, assuming you have a few 3090s, you could run it at home. You don't have to pay
01:24OpenAI for the privilege of running one of their fancy models. You can just install a llama,
01:29download DeepSeek, and play with it to your heart's content. And even if you don't have
01:34a bunch of GPUs, you could technically still run DeepSeek on any computer with enough RAM.
01:39Like here it's running on my 192 core Ampere 1 server. It's running DeepSeek 671B at about 4 tokens
01:46per second. Which isn't crazy fast, but this server won't set you back like 100,000 bucks either.
01:52Even though it's only using a few hundred watts, which is honestly pretty amazing,
01:56a noisy server like this isn't going to be in everyone's living room. A Raspberry Pi could be,
02:01though. So let's look at how the smaller 14B model runs on it. It's definitely not going to win any
02:07speed records. Testing a few different prompts, I got about 1.2 tokens per second. I mean, it runs,
02:13but if you want a chatbot for, like, rubber duck debugging, or to give you a few ideas for your next
02:18YouTube title, this isn't fun. But we can speed things up. A lot. All we need is an external
02:24graphics card. Because GPUs and the VRAM on them are way faster than CPUs and system memory.
02:30I have this setup I've been testing with an AMD W7700 graphics card. It has 16 gigs of speedy VRAM,
02:37and as long as it can fit the whole AI model in that, it should be way faster than any CPU. And it is,
02:43like, 10 times faster. I can get between 20 to 50 tokens per second, depending on the type of work
02:49I'm doing. Here's the raw output from an interactive session, and if I look at NVtop,
02:53I can see all this processing is being done on the GPU. And if I run LlamaBench, it's reporting 24 to 54
02:59tokens per second. And this GPU isn't even targeted at LLMs. You can go a lot faster. If you're interested
03:06in running GPUs on Raspberry Pis, or maybe even other ARM boards, well, you're in for a treat this year.
03:12Not only do we have AMD GPUs working great, the new Intel open-source drivers are also working.
03:18Somewhat. And NVIDIA might be in the cards, too. On top of that, I have an Orion 06,
03:24a CM5 ITX board, and even the Hi5 Premier P550, all of which have full-size x16 PCIe slots. So,
03:32even if the year of the Linux desktop will never come, at least we'll get custom ARM and RISC-V PCs.
03:37AI is still in a massive bubble. NVIDIA just lost more than half a trillion dollars in value in one
03:43day after DeepSeq was launched. But their stock price is still eight times higher today than it
03:49was in 2023, and it's not like anyone's hyping up AI any less now. The one good takeaway, I think,
03:55is people might realize we don't need to devote more than half the world's energy resources or set up a
04:00Dyson Sphere around the sun just to help computers solve trillions of multiplication problems to spit
04:06out another thousand mediocre web apps. The other takeaway is that there's new confusion in AI models
04:12over who precisely is Winnie the Pooh. Until next time, I'm Jeff Geerling.

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