No. It's a tiny expense. I mostly use GPT 4.1 Mini for what I'm doing as it's the best balance between results and cost, but Gemini Flash can do the job just as well for a little less if I need it.

As other commenters have mentioned, a firehose can mean many things. For me it might be thousands of different reasonably small things a day which is dollars a day even in the worst case. If you were processing the raw X feed or the whole of Reddit or something, then all of your questions certainly become more relevant :-)

Analyzing firehoses of data. RSS feeds, releases, stuff like that. My job involves curating information and while I still do that process by hand, LLMs make my net larger and help me find more signals. This means hallucinations or mistakes aren't a big deal, since it all ends up with me anyway. I'm quite bullish on using LLMs as extra eyes, rather than as extra hands where they can run into trouble.

The argument is totally sound for comparing lump sum versus regular donations, but if the option comes down to $200 lump sum vs nothing, the lump sum wins.

95% of my donations to various things are lump sums as I've proven prone to losing track of subscriptions, so it's good to retain the option (as GNOME has). It can also be a lot simpler to make one-off donations as a company for accounting reasons.

No idea if it's vibe coded but it's not LLM generated, at least. The pages mostly match those in Arm's docs but tidier and easier to read, e.g. https://developer.arm.com/documentation/ddi0596/2021-03/SIMD...

It's semantics, but one man's "lying" is another man's pragmatic, non-legalese customer-facing wording.

For example "Your personal information has been deleted" versus the potentially much messier truth, which might involve citing the GDPR, mentioning that for accounting reasons you have to maintain their details on invoices, areas of your financial auditing process, that you're maintaining a record of their request to delete the account, and so on and so forth.