emidoots
Some of them purchase ingredients from those companies, and then make the food using those ingredients.
A great deal of restaurants, though, simply purchase pre-made frozen foods from those distributors, re-heat, and sell it to you at a premium without disclosing while you think it was freshly made. Mac & cheese, stuffed peppers, lasagna, burritos, most 'bar snacks' you can think of, etc.
This is possible because Zig allows for targeting most glibc versions out of the box with its cross-compilation support.
In terms of GPU memory bandwidth (models fitting in the ~48GB of RTX 5000 Pro card), the RTX card I described above has over 2x the bandwidth of an M5 Max.
If leveraging system RAM (the 128GB-256GB outside the GPU) to run larger models, then the memory bandwidth is ~6x slower than M5 Max.
For models fitting in the ~48GB RTX memory, like dense Qwen3.5 27B models, the RTX will be 2-4x faster than M5 Max. For models that don't fit in the 48GB RTX memory, the M5 Max will be 5-20x faster.
Also worth considering future upgrades: Do you plan to throw away the machine in a few years, or pick up multiple used RTX 6000 Pro cards when people start ditching them?
* RAM - $1500 - Crucial Pro 128GB Kit (2x64GB) DDR5 RAM, 5600MHz CP2K64G56C46U5, up to 4 sticks for 128GB or 256GB, Amazon
* GPU - $4700 - RTX Pro 5000 48GB, Microcenter
* CPU/Mobo bundle - $1100 - AMD Ryzen 7 9800X3D, MSI X870E-P Pro, ditch the 32GB RAM, Microcenter
* Case - $220, Hyte Y70, Microcenter
* Cooler - $155, Arctic Cooling Liquid Freezer III Pro, top-mount it, Microcenter
* PSU - $180, RM1000x, Microcenter
* SSD - $400 - Samsung 990 pRO 2TB gen 4 NVMe M.2
* Fans - $100 - 6x 120mm fans, 1x 140mm fan, of your choice
Look into models like Qwen 3.5
[0] https://grapheneos.social/@GrapheneOS/114665558894105287
[1] https://grapheneos.social/@GrapheneOS/114359660453627718
[0] https://www.theregister.com/2024/08/21/slack_ai_prompt_injec...
Maybe if what freetype is pushing for ('a font is actually just a webassembly binary that contains arbitrarily logic to put pixels on the screen') continues to take hold, we'll find more consistency over time though
Also maybe LLM integration so you can just explain what you want done, then it does it, instead of needing to follow some tutorial to learn the software
Video for FPV quads on the other hand is divided: some use analog (mostly because when you lose signal, it's a gradual loss rather than complete loss + a reconnection process), while others use 802.11-based communication which is actually quite competitive. Walksnail Goggles for example use 802.11 for their video links, although not super open/documented people do dig into how it works (see Chris Rosser's work.) Latency is good enough with such setups for fast-paced competitive quad racing, at least
That's a pretty substantial difference.
(2) Also doesn't match the situation, there is no requirement that TikTok restrict the reach or audience of their content in any way AFAIK.
(3) The situation is more akin to "foreign government owns the local library, and can decide based on the identity of the person walking in which books the person is allowed to see and check out" - seems obviously problematic at least /if they do that/
Whether it be Facebook, Instagram, Threads, Messenger, WhatsApp, etc. their focus is to acquire users, keep them in their platforms, and own their content - because /human attention is fundamentally valuable/.
Meta owns 40% of the most popular social media platforms today, but their attention economies face great threats: YouTube, TikTok, Telegram, WeChat, and many more threaten to unseat them every year.
Most importantly, the quality of content on these platforms greatly influences their popularity. If Meta can accelerate AI development in all forms, then it means the content quality across all apps/platforms can be equalized - video on YouTube or TikTok will be no more high quality than on Facebook or Instagram. Messages on Threads will be no more engaging than that on Twitter. Their recent experiments with AI generated profiles[0] signals this is the case.
Once content quality - and luring creators to your platform - are neutralized as business challenges that affect end users lurking on the platform and how effectively they can be retained, then it becomes easier for Meta to retain any user that enters their platforms and gain an effective attention monopoly without needing to continue to buy apps that could otherwise succeed theirs.
And so, it is in their benefit to give away their models 'for free', 'speed up' the industry's development efforts in general, de-risk other companies surpassing their efforts, etc.
[0] https://thebaynet.com/meta-faces-backlash-over-ai-generated-...
Many of these children are pressured into it by parents who have no other financial options, as described in the video I linked above.
[0] https://www.iowapublicradio.org/news-from-npr/news-from-npr/...
Whether it qualifies as 'an honest day's work' these days - or a cruel and punishing existence - I'll leave for you to decide.
[0] https://youtu.be/41vETgarh_8?si=S0dBolFjv04SSprh&t=497
[1] https://www.npr.org/2023/09/25/1201524399/child-labor-perdue...