nre

Honestly a lot of kids in the US/UK should have no problem finding a used desktop/laptop to play with if they're into that sort of stuff. Even a 15 year old computer can run Linux today and people are practically throwing those out.

They probably could make it faster by rendering server-side a preview of sorts. I don't think that most papers are large enough for this to have a major impact unless you have a very slow connection.

Interestingly enough I was actually discussing this with a friend (who works in enterprise IT) the other day. Basically rack servers are purpose build for the task, with hot swappable components, redundant power/storage, multiple NICs, ECC, remote management, and so on. They come with enterprise support and can be easily maintained in the field.

Meanwhile a Mini cluster is literally a bunch of mini pcs in a rack, and idk if Apple even supports this kind of industrial use. While it's a quality product the Mini isn't really designed for the datacenter.

Back in the old days with no 2FA and only username/password access geolocation lockouts happened every time I went travelling. You could regain access by getting a code from a recovery email, but that often got locked out as well!

Eventually I set up my own VPN server so that the services still thought I was using my home IP.

While this might seem to be intended for DJ remixes a demixer also lets you jam along to your favorite songs. For instance you can extract only the voice, bass, and drums and play along with your guitar like you were a part of the band.

Do the manufacturers have seperate aggrements for corporate/government fleet vehicles? Lots of confidential information would otherwise be recorded, like business deals and patient information.

Looks like someone there is reading HN as they just did it!

Beta service or not I still think it's a good idea to have a policy up as soon as possible, even if it's a broad one saying that this is still in development and all queries are logged for diagnostics or something. Considering how this is on HN it's going to be on Reddit and Twitter soon and it'll explode from there.

> We cannot recommend external resolver services such as those run by Google, Cloudflare, Quad9, among others, for a variety of reasons. We have no control over how these services are run or what private data is logged. Even though most of these services have explicit privacy policies, they do log some data and we have no control or insight into that.

I find it very ironic that Wikipedia themselves talk about the privacy/logging practices of other DNS services but neglect to indicate a clear policy for their own service. I would imagine it's based off the regular Wikipedia privacy policy but they should clearly indicate that.

Also don't scroll down and read the spoiler-filled youtube comments! Just watch.

> With "contracts" of adhesion proliferating, and how impossible it has become to exist in the modern world without acceding to them (something as simple as buying a new SSD involves agreeing to one), this problem is getting worse by the day.

The craziest example of this is how all these contracts are appearing in the physical world as well. There are stores that actually have a sign indicating that entering the store constitutes acceptance of contract terms (with a QR code that you presumably can scan with your phone to read the contract). I've also seen public parks with the same thing basically indicating that entry binds you to a legal agreement to not sue the park/follow posted rules/etc.

This is interesting as there's a commercial product also called Lyrebird (https://www.descript.com/lyrebird) which does voice replication. Also I would expect a voice changer app of all things to have an audio demo linked prominently in the README so I can hear how it sounds!

Some people have timed it here, it looks like it's taking 15-20s/it (dependent on quant and hardware).

https://github.com/leejet/stable-diffusion.cpp/issues/1

The 4600G supports two channels of DDR4-3200 which has a maximum memory bandwidth of around 50GB/s (actual graphics cards are in the hundreds). While this chip may be decent for SD and other compute-bound AI apps it won't be good for LLMs as inference speed is pretty much capped by memory bandwidth.

Apple Silicon has extremely high memory bandwidth which is why it performs so well with LLMs.