bart__

Interesting event, annoyingly bad written AI article

I had similar ideas in the past but never made anything. I wanted to have a host mode where it is hosted on a Chromecast. I believe Chromecast can run custom JS so it should be possible. Maybe even rendering on a phone and streaming to the Chromecast. That would make it even more low friction, so nobody needs to get a tablet or laptop out and hook it up to the screen. Would you be interested in adding that? If you'd want I can maybe even help out with implementing it. Maybe somebody mentioned this before but I couldn't find it.

The best solution I could think of on the spot was this: First write down every license place until it fills up. Then for each time a car drives by, give it a 1/2 chance to write it down. Moving down the list regardless of the outcome. Then once the bottom is reached, do it again but with 1/3 a chance. Over and over again, decreasing the chance each time.

I checked for which situations it is valid, and it surprisingly was when there are many more cars than the list size. But it is not valid when there are just a few more cars than the list size.

Nice statistical problem! I only thought of a solution that is valid for many cars and few worksheet spots. Were you able to fully solve it on the spot?

Certificate Transparency, all CA's log their issued certificates to central log servers, managed by Cloudflare, google etc. If this is not done, the certificate will not be seen as trusted by Browsers. It was designed to have a publicly auditable source of issued certificates, exactly so we can notice rogue google.com certs.

Browsers will check if a certificate is in the transparency log, and alert the user if it isn't if I am not mistaken.

Probably the coolest answer in this thread! Did Antarctica have any other option for internet, next to the previous gen satellites?

4090 only has 24 GB and will only be able to fine tune (and merge, which is more memory intensive) the 7B model. The RTX6000 with 48 GB is able to fine tune the 13B model. The 70B model presumably needs multiple GPUs, like 4 RTX6000. For people starting out, you can also use a free GPU from Google colab to fine tune a 7B model. Finetuning 70B gets more expensive and I would suggest trying smaller models first with a high quality dataset.

It is mostly linear I think.

~20 GB vram for the 7B model and 48 GB for the 13B model. It depends on the context size as well. I'd recommend renting a 4090 from a cloud provider like runpod/vast ai to get started, using a PEFT tutorial.

It is also 99% sure some sort of post is a human.

Totally contra to this project, but relevant for your point. I found EasyEDA, developed by the people from JLCPCB, to be very easy to use for hobbiest boards. Their integration with their SMT assembly service was also pretty neat for my usecase

Since nobody has mentioned it yet, KOReader is an open source reader application for ereaders, kindles & others, and has the ability to reflow PDF's. While not perfect, it can work good enough to read well formatted PDF's.

I'm no expert, but I know cancer cells promote adding blood pathways towards them, so it might be that they have an "uneven share" of the nutrients transported to them, and thus die out later than the healthy tissue.

as a Dutch person currently following driving lessons, I was thaught this technique a few weeks ago