You don’t sell the same amount of product when you have to increase the price. You may need to shrink your business to not get the remaining margin getting eaten up by operational costs.

I agree that 0-days aren’t numbered. There are so many layers on which tech can be exploited that this is a difficult claim to make.

On the other hand, there are two different kind of exploits: clear holes in the logic, a situation or code path not considered by the coder. And the much harder to catch extremely creative ways to make a program do things it was never designed to do.

I have not seen LLMs doing creative things ever, so I doubt it would catch this second category. But sure, catching some logic holes it can be helpful with.

The job market is actually pretty bad right now and with all the recent layoffs in tech very saturated. Unionizing would make more sense.

But we have to identify this as what it is: an internal policy failure where they abandon proven processes to maintain code quality.

I guess I’m lucky my managers have not put that pressure on me yet. I do however see developers getting sloppy and lazier so the reviews actually do take more effort and AI rarely catches all problems with a change.

At least in my experience these models are pretty good now to write code based on best practices. If you ask for impractical things they will start doing ugly shortcuts or workarounds. A good eye catches these and you either rerun with a refined prompt, fix your own design or just keep telling it how you want to have it fixed.

You still gotta know how good code looks like to write it, but the models can help a lot.

Or rather the right to use shovels under ToS that can be changed on a whim.

I really don’t get this quantity-first approach. If you wanted to actually transform the world with tech in a way it’s not just superficial, you’d create task forces that sit together with specialist in each field of medical, construction, logistics, finance etc. give them 2 years to build prototypes and action plans. Then bet on the N most promising applications, spin them off as separate companies with premium access to your most advanced AI models and vertically integrate them into their workflows.

This would actually, sustainably achieve a foothold into these industries, disrupt and transform them long term.

He’s majority shareholder or has some trick to never be dethroned.

I have acquaintances at Meta and they literally waste tokens on bullshit tasks. They have like 10 agents running simultaneously doing some elaborate task that takes a long time. You can’t tell me this is more productive or efficient than doing actual work. Even if half of these tasks are somewhat useful and related to your project.

It sounds like they were measuring chatbot use than a deeper integration into their systems. That may not me the best use of LLMs.

LLMs are the only thing that is hyped. The other models and applications have existed already back when ChatGPT first hit the public and they have not had any special break through that would explain exponential growth in investment or a need for compute power. Language models had that with the transformer structure, everything else just develops iteratively.

The bubble we see now is because of language models and we can try and conflate it with other deep models and call it all AI, but it doesn’t change the fact that the generative models are the only ones requiring these resources and are looking for a problem to solve.

Best counterargument is cultural export. We don’t see it with Chinese nor with African French. If at all Japanese, Spanish or South Korean. But for the Asian languages the learning curve is much higher and the utility lower.

Assuming it was great at some point and people were trying, I would argue at the point when propaganda progressed far enough that enough people thought it was already great. You stop trying when you think you reached the goal. To this day no politician can afford suggesting otherwise unless it’s to make it “great again” I guess.

Works the same way in Switzerland. Some places may have a minimum wage locally, but it’s rare and on a national level there’s nothing. However the unions aren’t strong in all sectors so some jobs really do pay shit.

That’s why you should travel and learn other languages when you are young. You’ll learn a different perspective, culture, way of life and even if you don’t make it your own, it’ll be harder to see one superior to the other.

I’m not sure this is still true in the industrial era where human impact is responsible for habitat loss, monocultures, mass extinction and loss of biodiversity and reduction of undomesticated biomass in general.

Beavers actually build spaces that allow for more specialized species to thrive. We could do that too, theoretically.

Soon you’ll have to pay for the privilege of communicating with a human instead of an LLM chat bot.

Edit: I realize I need to specify because I forgot to add relevant context.

The only system I’ll accept. Not necessarily for pornography and a lot of “save the children” claims are just pretext for privacy violations, but there are services that legitimately need to check some info and a zero knowledge approach is the most privacy preserving way to do that.

I admit I was thinking about E33 as well, but my niche is narratively strong games or puzzle games. Too many AAA games are narratively disjointed open world messes and when it comes to puzzles indies are just king. Animal Well, Blue Prince, The Witness etc.