thewataccount

It's not the name registrar it's the dns server.

You just use a wildcard dns record, and then the webserver uses the host header to determine which subdomain was used (for webservers at least).

To my knowledge planes don't use the gps for very much, and AFAIK they use the barometric altimeter for maintaining their flight level. A controllable, plane that can maintain altitude is difficult to crash. The GPS stuff is mostly supplemental and is relatively new.

And pilots can land with a visual approach and still have ILS.

You would still have ADSB with your altitude, and I beleive heading and airspeed.

Because of the existing requirement to be spotting traffic and being over 1000ft away from other planes, they should be fine.

ATC should still have radar vectoring for their airspace.

I assume planes use more then just GPS, and use galileo and the other networks like consumer GPS do.

My understanding is that would be covered under medical insurance?

From my understanding many of the best players immediately look down to tell what "generation streetview car" they're using, and seem to know what continents/times they're from.

From my understanding they're basically an extension of FIDO?

You can just use a yubikey unless I'm mistaken?

This is simplified a bit - It's just a "machine" that maps [set of inputs] -> [set of probabilities of the next output]

First you define a list of tokens - lets say 24 letters because that's easier.

They are a machine that takes an input sequence of tokens, does a deterministic series of matrix operations, and outputs what is a list of the probability of every token.

"learning" is just the process of setting some of the numbers inside of a matrix(s) used for some of the operations.

Notice that there's only a single "if" statement in their final code, and it's for evaluating the result's accuracy. All of the "logic" is from the result of these matrix operations.

I've always wondered what percentage of "users" are "lurks" who never login, occasionally check a profile or click on a tweet on another website.

One of the previous uses of twitter was "announcements". Government, corporate, emergency, community, software, etc.

The previous move to require logging in was already a massive blow to that, requiring a payment would decimate it was a use-case.

I don't see company's/governments putting announcements on a paid platform. You can't expect people to pay for twitter for announcements.

Yeah I'll be interested to see how much you have to change the prompts to get similar styles

> Because there's no way to control the seed, a direct comparison (using a before/after slider, for example) probably wouldn't make sense.

Even if it was the same seed, from my understanding Dalle3 would have to be just a further trained version of the same checkpoint to even resemble Dalle2's image. Like stable diffusion 1.4 vs 1.5 and 2.0 and 2.1 will make identifiably similar images, but 1.5 vs 2.1 vs SDXL won't look remotely similar.

Even more so because I'd wager they changed their encoder and/or decoder too.

* I think that if they generated something like a controlnet for guidance the same way in both models then they might be comparable but from my understanding Dalle2 doesn't work that way at all.

Comparisons would still be interesting though!

I'm not sure what you mean - the last security update fixed massive 0-day which was an arbitrary code execution caused by the image decoder. CVE-2023-41064

AFAIK every app that uses the ImageI/O api is effected by it, which includes every app you mentioned. You often don't need to even open the message for the image to be decoded.

From my understanding most vulnerabilities are from either the image decoder, text decoder, or webkit which again, effects nearly all apps. All apps can only use the webkit view, which affects nearly all of them to some degree.

I think you might be confusing the attack vector - messages is the easiest to attack since you just sent a regular text. Even if you don't normally use messages, it'll parse the image and you'll be hit by the 0 day. In theory this will work with most messaging apps.

I've been struggling with figuring out a good dataset for fine-tuning. Most of the ones that exist were purpose made for finetuning/training a model already.

Does anyone have any tips for creating sufficient datasets for finetuning specific workloads?

FWIW that's 5 years of feature updates.

They still do security fixes for iOS 15 which is the iphone 6S in 2015 so 8 years.

The last security update for iOS 12 was 7 months ago too.

IMO that's a generous period for security updates.

Their usefulness is honestly more limited by app developer's support of the old api's, and the increasing bloat of web apps rather than Apple's support. It would be better of course if we could homebrew on them after that but I'm not sure I'd call it pitiful.

Eh I had some issues with microsoft's "guidance", eventually got it working with an older version. They haven't updated it in a month too.

lmql might be a decent alternative.

Any form of logit bias should work though.

I've already had some success with Llava although existing image classifiers are still going to outperform it.