I’ve been doing a lot of work around this area and the issue tends to pop up around context. There are instances a haiku model will catch something far more accurately than gpt-oss-safeguard. Obviously you pay in costs, realistically, you need a full system here for a proper implementation so some flows to tiny LLM some flows exclusively ML, some flows to a higher intelligence.

People on the fediverse are generally pretty anti ai but it’s basically impossible to scale a platform without AI moderation. I would fully welcome any instance trying an implementation of [Osprey](https://discord.com/blog/osprey-open-sourcing-our-rule-engine with LLMs.

This actually ended up not being an external DDOS. They shipped some code that ended up hammering their servers.

It’s really up in the air at this point. His house was bombed, his brother nearly died and they said he was coincidentally “in a car crash” the same day (he was at the house)

They’ve also posted 4 AI generated or deep fakes videos of him. Not sure why you’d do that if he was fine. My take is he’s probably very injured.

Someone was also livestreaming netanyahus location before he was bombed 💀

You can just…turn it off? Devs can just… Not implement it.

Not really that big of a deal imo.

impossible to guarantee that everyone sees the same “enhanced image”.

Let’s be honest this thing is not generating totally new faces per session the constraints on this tech are not so wide that we’re going to think it’s different people, you can alter the randomness of the models and it should be tuned accordingly.

I personally think these looked really good IDK why it’s getting so much hate other than “ai bad” complaints

In my experience with windows there’s just a slight lagginess everywhere. I’ve had full gaming PCs still feel laggy just in Vscode. It’s not bad but it’s a small pain point that I don’t want to experience for 40 hours a week.

I have my complaints with Lemmy but I was astounded with how bad Digg was. It’s like none of them actually used these community based apps.

The reasoning thought process is one line. I like Kimi models but there’s no doubt they are not the best.

Thought process

Fun practical question

?

Most of this work is done via emulators if you have a hardware attestation process built in, it will stop most of it. Obviously you still have a problem with phone farms but those are much more expensive than emulators and there’s a physical capacity to them.

I agree the Fediverse is not in a good spot for something like this.

I actually think this is where the identity system of atproto will be more impactful here as it allows a better verification system. I’ve been thinking lately you should be able to use hardware attestation + biometric attestation on apps to filter these emulated users out.

The Hot ordering is itself an algorithm.

Definitely a mood

TrumpRX might be the ONLY good thing Trump has ever done for consumers, but I constantly see articles like this and Democrats pick it apart in favor of…our current prescription system?

There’s a reason Mark Cubans cost plus drugs is revolutionary for low income folks and even myself.

Not really on topic, but I recently swapped from Spotify to Qobuz and it’s been a pretty good experience if you’re interested in paying someone who’s not Spotify

I definitely agree but I think that case would still get caught in the steam AI usage badge?

I posted this in another comment but I think the nuance is really in what did they use the AI for. Are they using Claude code for the programming but did the entire artwork by hand? How many really care about that?

Compared to someone who tried to one shot a slop game with full AI assets and is just trying to make a quick buck.

I think the grey area is what if you’re an indie dev and did the entire story line and artwork yourself, but have the ai handle more complex coding.

It is to our eyes entirely original but used AI. Where do you draw the line?

What portfolio does passkeys push?

You can transfer passkeys between platforms? This is a non-issue