Of course it was political retribution and not the whole unregistered securities and gambling market thing.
Of course it was political retribution and not the whole unregistered securities and gambling market thing.
We’re not breaking ground on AI innovation (in fact, we’re using an old, “deprecated” file format from a whole six months ago)
The ggml format isn’t “deprecated” it’s completely dead. In those 6 months we’ve also seen 2-4x speedups on some systems, not to mention improved accuracy via kquants. I don’t know why they would build out a new extension with such an ancient dependency.
This article resembles this one beat for beat from a month earlier: https://www.cnbc.com/2023/11/29/nvidia-ceo-ai-will-be-fairly-competitive-with-humans-in-5-years.html
They solved this problem by making the nanometer bigger.
Quantum computing is useless in most cases because of how fragile and inaccurate it can be, due in part to the near zero temperatures they are required to operate at.
French laws don’t recognize software patents so videolan doesn’t either. This is likely a reference to vlc supporting h265 playback without verifying a license. These days most opensource software pretends that the h265 patents and licensing fees don’t exist for convenience. I believe libavcodec is distributed with support enabled by default.
Nearly every device with hardware accelerated h265 support has already had the license paid for, so there’s not much point in enforcing it. Only large companies like Microsoft and Red Hat bother.
Between 0.00002% and 0.00006%
They basically found a more effective way to brute force the problem. I don’t doubt that it’s possible. The title calling it unsolvable is nonsense though.
a thorough investigation is planned beforehand in order to find out how Huawei was able to produce an advanced smartphone so quickly without relying on global supply chains
There’s no way a country of 1 billion people which already manufactures most of the world’s electronics could have possibly produced complex electronics.
I don’t think any of the models they’re using are trained from scratch. It would be much cheaper to take something like Stable Diffusion and finetune it or use one of the hundreds of premade porn finetunes that already exist.
The models they’re using are probably capable of both, they just need to change the prompt.
Can you search “c code to encrypt file”? Also yes.
It’s mostly bias in the training data. Most people aren’t posting mediocre images of themselves online so models rarely see that. Most are also finetuned to specifically avoid outputting that kind of stuff because people don’t want it.
Out of focus is easy for most base models but getting an average looking person is harder.
Unique utility and learning apps built from the ground up vs an api frontend. The choice is pretty obvious.
The paper suggests it was because of cost. The paper mainly focused on open models with public datasets as its basis, then attempted it on gpt3.5. They note that they didn’t generate the full 1B tokens with 3.5 because it would have been too expensive. I assume they didn’t test other proprietary models for the same reason. For Claude’s cheapest model it would be over $5000, and bard api access isn’t widely available yet.
And don’t make a satisfying click
Just introducing them to it is probably enough. Show them different desktop environments and applications to get them used to the idea of diverse interfaces and workflows. Just knowing that alternatives exist could help them break out of the Windows monoculture later. Enable all of the cool window effects.
Canada has actually been doing quite a lot of awareness in the past few years. There was the truth and reconciliation commission and there’s a nationally recognized day. Indigenous education has also been integrated into school curriculums in some provinces.
It’s not a ton and can never make up for what happened, but it’s far ahead of Australia who has done nothing from what I can tell.
If everyone has access to the model it becomes much easier to find obfuscation methods and validate them. It becomes an uphill battle. It’s unfortunate but it’s an inherent limitation of most safeguards.