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I'm not sure if there is actually any evidence of this? Criminals do very well without crypto. If you look at percent of the economy that is fraudulent, it is quite large. If you look at percentage of crypto economy that is fraudulent, it is surprisingly similar

I just can't stand how often Claude says something like "And the honest part? It's..."

Like, were the other parts not honest? I don't understand how Anthropic let it get like this, it's been such a clear regression

Would you say the same thing about people not knowing assembly after compilers came out?

I think I agree. But it's nice to have the option. Furthermore, i think it's too early to see the results of this, as technology takes a while to diffuse. Since there are so many people trying to take advantage of the hype to make a quick buck, it takes time to figure out what is actually useful and what is not

True, i agree. Which is why it will take quite some time for this technology to diffuse and for people to learn which apps really are good

Food production is at record highs last time i checked, thanks to technology

It relates to software making my life better, as OP said he can't see any examples of this

This comment comes up over and over again and it's incredibly ignorant.

To give just a single example, ai code dev has enabled people to make tools for themselves that they didn't have before.

I've made a language learning app for myself. Its working better than Duolingo so far, for me. Its not really public

to be fair, all it's doing is sampling the frames and maybe doing transcription, if I'm not mistaken. So you can do it with the other models too, you just need to sample the frames yourself and do the transcript yourself

gemini flash is probably the best model for visual tasks right now. they also make it really easy to ingest videos

I also agree with this. LLMs are a great companion when reading a book to clarify things and dive into specific topics.

I'd imagine an application that uses LLMs will be created that better manages learning. It's just not clear what that UX is yet- it's obviously not just a chatbot

Look at this one: https://x.com/Zahri_10i/status/2078211494349537447?s=20

I've seen a few that have been shared - I'll link them here if I can find them.

I think right now most people here and on twitter have no taste, and post slop that were just sort of one shotted.

But there are people using these tools in a sort of hybrid way, which I think has incredible potential. You can use it to do CGI on existing footage, in a way that's orders of magnitudes faster and cheaper than current CGI methods.

I also think that the most viable models will be video-to-video, and audio-to-audio.

If you've read A Young Lady's Illustrated Primer, I think you might get what I'm saying. But essentially, you can capture a lot of emotion, expression, etc, using a cheap camera and a single actor, and then use AI to "stylize" it in a really cheap effective way, while keeping the emotion/expression. Adding lighting for example, upscaling the quality, changing the voice timbre while keeping the pacing, etc.

at this point, it's pretty easy to create evals/benchmarks, and then run the latest model on them.

LLMs are so easy to swap out, so having good benchmarks/evals are pretty useful.

Even then, a lot of the time the model improvements are so obvious that you don't even need an eval.

No, not really. My comments are organic - they come from a place of frustration, seeing such trivially wrong arguments against data centers.

All the arguments I see against data centers are arguments against industrialization. There are also arguments against capitalism and wealth inequality, that I sympathise with.

exactly. All of the arguments I see against data centers are simply arguments against industrialization.

The dirty water bit is the most ridiculous thing. It's meant to paint the picture that the data centers themselves are using the water and dirtying it, when in reality the cause is the development of the actual buildings and infrastructure, which would happen with any industrial development!

yeah I had this happen to me. Except when I go to maintain it, now cursor/claude are good enough to essentially handle it on their own, so it turns out to be very low effort to maintain.

there's an unnatural amount of doomerism against datacenters, of exactly this kind. It's pretty obviously astroturfed.

i noticed a thing with headlines like these: "x may cause y". Whenever it's "may" or "might", it's almost always meaningless

This is great! I disagree with some of the commenters here that the originals sound better.

The originals sound very much like demos, and from a producer's perspective are very low quality (no offense). They're definitely more raw, but objectively not as good - i.e harmonies aren't tight, the levels are not well balanced, etc.

It's funny that people hate that AI can improve this, because even without AI, modern music uses a ton of digital tools to mix and master - and true musicians don't care whether it's digital or not.

These commenters would be the same people who boo-ed bob dylan when he went electric.

Look at John Mayer - he uses AI to model amps, instead of lugging around giant heavy tube amps.

Question for you - what was the workflow exactly? I've been wanting to test out some AI tools to do similar things with my music.

I don't think that's true anymore

Where are you getting that from, that they're ok with CSAM?

I think they've been clear that they want to follow the law.

Every image gen provider struggles with this. I worked for an image gen app years before it became popular (Wombo dream) - it's a hard problem to solve, there are sick people out there.

>The best feature is that it can delegate questions out to GPT-5.5 in the background, so you're no longer restricted to a voice model that's several years behind the frontier.

Ahh, this makes sense. I was wondering when they would start doing this. I stopped using voice mode all together because it was frustrating talking to a dumb AI, when most of the time I discuss things with Opus 4.8 or gpt 5.5.

I was working on a phone call agent recently, and thought about doing this. It makes sense

I've been building multiple products with LLMs, and they are in fact interchangeable for the most part.

In fact, most benchmarks show this! Most benchmarks have similar performance for the same classes of models.

On top of this, there are tools like open router, or even the openai SDK which trivially allows you to swap endpoints for the LLM!

If you're using the agents SDK from openai or something, then yeah it's not interchangeable but that's you doing it wrong

Enterprises switched from openai to anthropic this year - anthropic overtook openai for the first time. I don't see why they wouldn't switch again.

There's barely any moat. All the data is with connectors, memory is near useless

It really depends on what you're doing, but most LLM usage and agentic runs are pretty interchangeable in my experience, and it's usually trivial to switch.

If anything, you're better off supporting multiple LLMs as backup because most model providers have been so inconsistent with working all the time

This is awesome

not true. multimodality is still far from being solved

I agree - and I'm also confused why other's haven't simply copied every feature. It really doesn't seem that complicated.

Anecdotally At the moment, about half of our inbound applicants are fake profiles