Recent submissions

Comment · 5 days ago
Great, that means fewer bloated JVM based products will be released as well.
Comment · 7 days ago
> Apple does let apps download JavaScript updates like this, which is how tools like Expo Updates work, as long as the update doesn’t change what the app is. Whether changing your pieces based on ad prices fits that is up to Apple.

But there is no way for Apple to verify "as long as the update doesn’t change what the app is" right?

Comment · 21 days ago
> Also, single bits are rarely used for booleans because it requires more CPU power to extract a single bit.

Not necessarily, on modern CPUs memory access is often the bottleneck. If you have many bits storing these in a bitarray can be quite beneficial for performance.

Comment · 23 days ago
That's an additional cost to the user rather than infusing more resources from the provider like a subsidy.
Comment · 23 days ago
This is why they enforce the use of client apps like Claude Code/Codex (although OpenAI is a little more lenient). Trying to create a network effect.
Comment · 26 days ago
Good that they put rogue in quotation marks because there is just no way that this is some sort of accident.
Comment · 1 month ago
Wouldn't it be trivial to detect benchmarking if the same requests are running on a fixed interval?
Comment · 1 month ago
> Yes, well, so can humans given the "right" circumstances, e.g. "enterprise" software

The difference is scale. Letting LLMs go out of hand is like the movie Fantasia. Sure people can make a mess on their own but with LLMs can do so much worse in such a short amount of time.

> Generative models are now doing the same to coders

Programming involves quite a bit more than just typing. However, typing the code does help with understanding. Once we stop understanding code because it's just generated AI slop good luck fixing the mess.

Now that even Anthropic and OpenAI called for slowing down. It's obvious that we're past peak hype and realization of the cost of LLMs will set in.

Comment · 1 month ago
LLMs can produce some incredible bloated and convoluted pieces of code if one isn't careful. Even to the point LLMs become useless. Blindly using these 'powertools' is a recipe for disaster.

We'll already see the hype to start cooling down. If you're okay with cleaning up messes you need not be so pessimistic.

Comment · 1 month ago
"Others do it too" is not really a counterargument when Anthropic should've stopped this. They are yelling "AI is dangerous" the loudest so the least they can do is get their own monitoring in order.
Comment · 1 month ago
Are you sure you don't mean revenue? Given the enormous investments profits seem very unlikely.
Comment · 1 month ago
> What is more difficult, building a military missile or the software that runs it?

"If software was easier compared to building the a missile then Anthropic is in the clear or something." Is that the line of reasoning to protect Anthropic from any wrongdoing?

Comment · 1 month ago
Quite a bit harder or even impossible to prevent software being used illegally that runs on clients than server side services no?
Comment · 1 month ago
> easily outcompeting any company

If it were easy they'd be doing that instead.

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