The interface looks very Apple as well. Looks like you create a config file, and you already have a model in mind with the hyperparameters and it provides a simple interface. How useful is this to researchers trying to hack the model architecture?
Not much. But if you just want to adapt/optimize hyperparams, this is a useful approach. So I can certainly see a possible, less technical audience. If you actually want to hack and adapt architectures it's probably not worth it.
Was gonna ask "What's that MindSpore thing that seems to be taking the research world by storm?" but I Googled and it's apparently Huawei's open-source AI framework. 1% to 7% market share in 2 years is nothing to sneeze at - that's growth rates similar to Chrome or Facebook in their heyday.
It's telling that Huawei-backed MindSpore can go from 1% to 7% in 2 years, while Google-backed Jax is stuck at 2-3%. Contrary to popular narrative in the Western world, Chinese dominance is alive and well.
>It's telling that Huawei-backed MindSpore can go from 1% to 7% in 2 years, while Google-backed Jax is stuck at 2-3%. Contrary to popular narrative in the Western world, Chinese dominance is alive and well.
MindSpore has an advantage there because of its integrated support for Huawei's Ascend 910B, the only Chinese GPU that comes close to matching the A100. Given the US banned export of A100 and H100s to China, this creates artificial demand for the Ascend 910B chips and the MindSpore framework that utilises them.
Its meteoric rise started well before the chip embargo. I've looked into it, it liberally borrows ideas from other frameworks, both PyTorch and Jax, and adds some of its own. You lose some of the conceptual purity, but it makes up for it in practical usability, assuming it works as it says on the tin, which it may or may not. PyTorch also has support for Ascend as far as I can tell https://github.com/Ascend/pytorch, so that support does not necessarily explain MindSpore's relative success. Why MindSpore is rising so rapidly is not entirely clear to me. Could be something as simple as preferring a domestic alternative that is adequate to the task and has better documentation in Chinese. Could be cost of compute. Could be both. Nowadays, however, I do agree that the various embargoes would help it (as well as Huawei) a great deal. As a side note I wish Huawei could export its silicon to the West. I bet that'd result in dramatically cheaper compute.
China publishes a looooootttttt of papers. A lot of it is careerist crap.
To be fair, a lot of US papers are also crap, but Chinese crap research is on another level. There's a reason a lot of top US researchers are Chinese - there's brain drain going on.
When I looked into a random sampling of these uses, my impression was that it was a common kind of project in China to take a common paper (or another repo) and implement it in Mindspore. That accounted for the vast majority of the implementations.
Q3-7 & Q3-5d get to the workability. I don't think OpenAI responds to that part of the RFC. Meta's comment on that issue seems to be fairly clear, they oppose the proposed rules on KYC for IaaS and are "not aware of technical capabilities that could not be overcome by determined, well-resourced, and capable actors".
The fact is though, every corporate actor in this entire landscape is just playing their hand. Anybody's stance on anything at any given moment doesn't mean they're more or less ethical-- the moment they perceive a strategic benefit to walling everything off which would surpass the PR cost, they will. They've probably already got PR folks workshopping angles for the press release.
This is true to a degree though there are high profile actors such as Yann LeCunn who have ethical boundaries. Yann wants AI to be open source and available to all, and he's straight up said that he won't work for a company that doesn't follow this principle. Zuck might not have a hand to play in terms of AI products, but even if he did he'd have to tread carefully because the guy that sets his whole AI direction and stewards all their research would 100% walk if he wasn't happy with the ethical direction of the company.
Could be. Could also be that LLM is to OpenAI what information retrieval is to Google. A lot is publicly known in the information retrieval space, but google still dominates.
That is good point. The original Google designs are public, those were papers that were published. Anybody could create a new 'google', its just about getting name recognition and users. Guess example is DuckDuckGo, or Bing, they throw money at advertising just to get users, but underlying search isn't the problem.
The question the blog asks on election procedure is easy to get right, why does ChatGPT refuse to answer? I'd bet the answer it would otherwise produce is reasonable. Perplexity gives a fine answer. The collateral damage from fixing hallucinations seems to hurt accessibility.
There are all kinds of externalities, including safety, which are ignored. US tax policy which allows write offs only for large vehicles which are more likely to cause deaths. Tire emissions. Congestion pricing -- common in Europe -- needs years or reviews and lawsuits. NHTSA doesn't require bicycle test devices.
This may be ignorant, but why does green/blue bubble matter for US folks? Almost all cell providers have free SMS/MMS. Would people even notice it if the color was always blue?
Green/MMS messages end up having much lower quality images and videos than iMessages. Send the video to another iPhone user and they see it in HD. Send it via MMS and someone gets a blurry postage stamp video.
But from an Android phones perspective it is the iPhone users that have low quality images and compatibility. Whenever someone sends me an image or video from an iPhone it seems like their phone must be terrible.
These systems could work together if Apple wanted them to. Google / Android isn't the part that is preventing interoperability. So ultimately it really is an iPhone being bad problem. They've marketed the problem well to make it seem like it is the other way around in order to make iPhones more desirable.
because it doesn't allow nearly as large images/videos/etc to be sent. They either get dropped or reduced in size by various means. If you stick to text I've had no problems, if you don't you're on your own if your doing Android <-->iPhone . most of my friends use signal or whatsapp so it's not a big deal for me, but others have issues.
One example: https://github.com/apple/corenet/tree/main/projects/clip#tra...