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The products, animations and slides are doing some heavy lifting. Most jokes don't land and his presentation is somewhat confusing at times (e.g. star trek intro token count)


Should be more like 756 GWh


"To run AI applications (test machine): RyzenAI processor, example: Phoenix/Strix"

Is there any strix besides the unreleased Strix Point and Strix Halo?


No.

However the AMD CEO has confirmed recently that Strix Point (laptop Zen 5) will be released later this year (and it is currently being tested by AMD partners like Microsoft) and that it will include a NPU much faster than that of Hawk Point (Ryzen 8040 series) and Phoenix (Ryzen 7040 series).

As Strix Point is currently in testing at external partners, they must have at least preliminary versions of the software for it.


My personal experience: Fedora 38- just needed to compile gcc-12 (took very long), Windows- Installer failed

This clearly shows that GNU/Linux must be superior


Mistral 7B (mistral-7b-instruct-v0.2.Q6_K.gguf): Let's break down this problem step by step. First, we know that Julia has three brothers. Then it is stated that each of her brothers has two sisters. This means there are two sisters for each brother. Since Julia is one of the sisters for her brothers, she also counts as one of their sisters. However, when counting the number of sisters for herself, she should not be included in the count. Therefore, Julia has three brothers and two sisters (excluding herself), so she has a total of five sisters.


The whole FSD thing is so misleading that it should make buyers eligible to a full refund. While the Tesla website only promises to deliver the feature at some point in the future, public comments from musk and others made it look like this point will be end of year


Public comments from the CEO need to hold the same weight as the company website, I think. Especially when they all end in “100% confident”.


Especially when Tesla has stated in filings that @elonmusk or whatever his Twitter handle is "is an official communication channel of Tesla" (which was part of the SEC's issue), though I realize that many of those statements were elsewhere too.

Musk, in 2015, viewed FSD as a solved problem just needing implementation: "I view it as a solved problem. We know exactly what we need to do and we will be there in a few years."

Somewhere along the line, the problem got unsolved. In 2022, "Our focus now is just on solving this problem".

https://www.wsj.com/articles/teslas-elon-musk-says-autonomou...


Yeah, even more exciting than the small PaLM2 from Google IO


A full linux environment (with external monitor support) sounds awesome. I hope that enabled KVM becomes standard

Would graphics acceleration work properly?


Depends on the kind of acceleration you want. VirGL is available on Linux host/Linux guest setups with recent kernels, not sure if QXL/SPICE will be available or can be added to the userland. Can't imagine a hardware passthrough situation making sense on a phone/tablet, either.


You can already to that with termux, XSDL and some scripts. No virtualization needed.


MI300 looks very promising, but it doesn't instantly solve the chicken-egg problem. Nvidia has been placing eggs in the form of "cuda on gaming gpus" in the nests of researchers and students for quite some time.

"Nobody ever got fired for buying nvidia" might be the situation in the future if AMD doesn't manage to get a more popular choice among developers


Totally agree on that, securing a piece of the AI market will be a huge challenge. No one will buy AMD for AI when the software isn't compatible and no one will buy AMD for AI to get wonky software for the same price as NVIDIA.

Affordable cards with lots of memory and good software support is the only solution to maybe get into the market. Double the memory for some gaming cards (just like NVIDIA's 3060 12GB and the 4060 TI 16GB)

Additionally data center products with enormous vram amounts and very fast interconnects will be important

AMD can't even take orders that NVIDIA can't keep up with because they are producing on very similar nodes. NVIDIA can easily outspend AMD for TSMC production capacity


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