That said, I wonder if anyone is thinking about bringing back the RAM disk. I have 64GB of DDR4 just sitting here and would love to page to that instead of my SSDs.

I see you haven’t met my brother-in-law.

To be fair, a lot of that was about their online service and not the model itself. It can definitely generate breasts.

That said I do find the focus on “safety” tiring.

Considering how gaga r/stablediffusion is about it, they weren’t wrong. Apparently Flux 2 is dead in the water even though the knowledge it has contained in the model is way, way higher than Z-Image (unsurprisingly).

Flux 2[dev] is awful.

Z-Image is getting traction because it fits on their tiny GPUs and does porn sure, but even with more compute Flux 2[dev] has no place.

Weak world knowledge, worse licensing, and it ruins the #1 benefit of a larger LLM backbone with post-training for JSON prompts.

LLMs already understand JSON, so additional training for JSON feels like a cheaper way to juice prompt adherence than more robust post-training.

And honestly even "full fat" Flux 2 has no great spot: Nano Banana Pro is better if you need strong editing, Seedream 4.5 is better if you need strong generation.

I didn't even know seedream 4.5 has been released, things move fast, I have used seedream 4 a lot through their API.

People aren’t going to care. They’ll re-enter the market, perhaps with a new name, and people will have no qualms buying their stuff.

My dad had fallen for two scams - one through WhatsApp, the other texts.

I’m not sure how much we can blame individual companies for this. Obviously they should be doing more - shutting down accounts that message people at random, for instance, but I feel like the scammers will find a way.

I also don’t know what else we can do. It should be easier for kids (or anyone else) to shut down their parent’s accounts at least once this happens, stop all wire and crypto transfers, etc.

Past that, I really don’t know.

Hey, HN people - I’d pay good money for the opposite. My dad has fallen for two separate pig butcher scams. I’d love to install something on his phone to protect him, and an LLM could actually do that as long as it could integrate with whatsapp/messages/his email.

The latest one is ongoing and he doesn’t believe me, but if you could cut them off earlier before they’re hooked it would probably prevent it.

Hey - we started a company called Lifeguard to focus on exactly this! We focus on three parts: education (quick elearnings), finding/removing data (dark web scan, data broker removal), and auto-protection (chrome extension, iOS app, email integration - to label or block scam messages). I would love to talk to you to hear what product features would be most important for you. Please email me at kevin at trylifeguard.com

oh this is very cool!

I've been building in my spare time a spam/scam blocking extension and was also playing around with the experimental in-browser LLM feature for this (alongside Aho-Corasick, Naive Bayes and other classifiers)

It's great to see more people tackling this head on, kudos

I can't promise how effective it is but Google Pixel phones have a built in scam detection feature in their dialer app. It uses a local LLM that runs on device and analyzes the phone conversation. Here's their support doc: https://support.google.com/phoneapp/answer/15654065

It likely only works for US English phones, and of course if they get him onto other platforms like whatsapp or signal then it's no help. Sorry to hear you're dealing with that it's a big fear of mine as my parents age.

You have a funny definition of the word “abuse,” and “sell.”

“25% of our users that arrived from the newest ad came from Facebook and 85% of those were mobile users.”

So abusive. So much selling.

And when someone visits your website, you don't tell anyone about their visit, right?

RIGHT?!

Same thing happened to me. Guess who didn’t start spending $100 a month with them again?

Utterly ridiculous.

Weird example to trot out as a bubble when at any point in its history, if you held for a few years or so you’d be pretty far ahead on your investment. It clearly shows people are awful at calling out bubbles.