It amazes me how productive it's possible to be using AI, but I also has this nagging feeling that we are being reeled into being so reliant on this that when the price starts going up, we will simply eat the cost.

The math is pretty simple, and it's easy to justify still paying the price even if it goes up 10 fold, when compared to hirering more resources its still cheap.

So I guess having multiple players and competition in the market is the key?

Going forward, models will start specializing. Anthropic will build a BioMed model for large drug companies. A math/compsci model for frontier theoretical research. A physics modelf or nuclear research. They can communicate each other for synergy effects e.g. for areas where math meets biomed etc. This will be cost reducing as well. We plebs don't need advanced models for our plumbing software work. Following example applied to AI capabilies will make it clear.

Does everyone need a graphing calculator? Does everyone need a scientific calculator? Does everyone need a normal calculator? Does everyone need GeoGebra or Desmos ?

I don’t see why this would happen when the modern models already use MoE, which gives them most of the benefits of having specialized models.

as long as the chinese exist and offer alternatives I think were going to be okay in terms of price, as long as you dont lock in in any american model

Seems like a great analogy to me..

Do you know Zuckerberg well enough to be able to engage in an interesting conversation about his hypothetical behavior if he was a bartender?

Do you know Zuckerberg well enough to be able to engage in an interesting conversation about whether or not he would continue to grant a specific person access to filters, knowing that they're harming that specific person?

I guess not. Speculating about it seems pointless at best.

Not sure what to say, looks cool. One hit and then the ball kept rolling, very slowly, seemingly without any friction.

Sorry but can't wait until this whole AI situation finds a proper balance.

I've been working with physics engine (cannon then rapier) + three js recently using Claude and found that AI was struggling quite when it came to fine tuning physics constants (friction, weights etc.) quite a lot. A human touch was needed - ended up vibe coding a small debug / admin panel where I could adjust those manually.

Whenever Elon Musk says free speech, I get the chills.

The premise of the project is he doesn't want to run code he doesn't know + in an insecure way, so having the setup step to install dependencies etc, done by an LLM seems like an odd choice. Like what part about the setup step is so fluffy and different per environment, that using an LLM for it makes sense?

Do you happen to have any information about which services and workflows they use?

Everyone is using Cursor, model preference varies. The best performers have large context in their repository, make very detailed plans using Planning mode and then execute. Use different models to individually review the work.

"Eat real food" yet they seem to roll back regulation including but not limited to food safety?

Ads. This is how you get ads in streaming services.

Both Netflix and HBO already have ads.

It has been asked in the ESTA for a long long time, afaik even before Trump.

But can we please remember that there is a huge huge difference between being asked to provide it optionally, to being required to provide it.

Okay, let me be even more clear then: it is required to fill out every social media handle and every phone number you've used for the past 5 years as a part of the DS-160 form (AKA online non-migratory visa application for countries not covered by ESTA).

That's been the case since 2019. Before that, asking to hand that info out even voluntarily was widely seen as an overreach. Now, it's required for countries not covered by ESTA and still voluntary for ESTA countries.

"Sorry, I'm still learning to create images for you, so I can't do that yet. I can try to find one on the web though."