Presumably you've already listened to every piece of music ever recorded? Otherwise it seems it would be more efficient to do that first than wait for AI to generate it and you chancing upon it.

In a way, maybe it going off-piste is coherent with the idea of the first third. I'm sure this was not the author's intent, but fun from an ironic perspective.

> There's nothing stopping you from doing that with an LLM.

There may be, though. The LLM's initial output may anchor your thinking in insidious ways that may not be obvious at all especially since you're feeling productive. I bet the lack of confidence around starting would also increase over time every time you use an LLM to get over the hump.

Predictions without a deadline are unfalsifiable.

I've also managed to make an E-Bow work with a steel-string acoustic guitar (but only on one string IIRC).

It's nice you got something out of it in just two hours. If the LLM companies are doing their caching right, the next person to ask for this set of apps with prompts close enough to yours can get it in five minutes.

Also there's a typo in the URL.

There's definitely a chunk of the developer population that's not going to trade the high-craft aspects of the process for output-goes-brrr. A Faustian bargain if ever I saw one. If some are satisfied by what comes down to vibe-testing and vibe-testing, I guess we wish them well from afar.

Misleading headline, with the qualifier buried six paragraphs deep. You have a wide enough readership (and well deserved too). Clickbait tactics feel a little out of place on your blog.

> isn’t the alleged double-meaning exactly how radicalized factions drag a majority to a conclusion they actively disagree with? Some in the crowd literally mean what they say, many others are being poetic and only for that reason join in. But when it reaches American ears, it’s literally a death wish (not the majority intent) and thus the extremists seal a cycle of violence.

This is plausible, and again a case for more comprehensive translation.

In Hindi and Urdu (in India and Pakistan) we have a variant of this retained from Classical Persian (one of our historical languages): "[x] murdaabaad" ('may X be a corpse'). But it's never interpreted as a literal death-wish. Since there's no translation barrier, everyone knows it just means 'boo X'.

> معلوم هم هست که مراد از «مرگ بر آمریکا»، مرگ بر ملّت آمریکا نیست، ملّت آمریکا هم مثل بقیّهٔ ملّتها [هستند]، یعنی مرگ بر سیاستهای آمریکا، مرگ بر استکبار؛ معنایش این است.

"It is also clear that 'Death to America' does not mean death to the American people; the American people are like other nations, meaning death to American policies, death to arrogance; this is what it means.

Translation by Claude; my Persian is only basic-to-intermediate but this seems correct to me.

[1] https://fa.wikipedia.org/wiki/%D9%85%D8%B1%DA%AF_%D8%A8%D8%B...

This is related to why current Babelfish-like devices make me uneasy: they propagate bad and sometimes dangerous translations along the lines of "Traduttore, traditore" ('Translator, traitor'). The most obvious example in the context of Persian is of "marg bar Aamrikaa". If you ask the default/free model on ChatGPT to translate, it will simply tell you it means 'Death to America'. It won't tell you "marg bar ..." is a poetic way of saying 'down with ...'. [1]

It's even a bit more than that: translation technology promotes the notion that translation is a perfectly adequate substitute for actually knowing the source language (from which you'd like to translate something to the 'target' language). Maybe it is if you're a tourist and want to buy a sandwich in another country. But if you're trying to read something more substantial than a deli menu, you should be aware that you'll only kind of, sort of understand the text via your default here's-what-it-means AI software. Words and phrases in one language rarely have exact equivalents in another language; they have webs of connotation in each that only partially overlap. The existence of quick [2] AI translation hides this from you. The more we normalise the use of such tech as a society, the more we'll forget what we once knew we didn't know.

[1] https://archive.fo/iykh0

[2] I'm using the qualifier 'quick' because AI can of course present us with the larger context of all the connotations of a foreign word, but that's an unlikely UI option in a real-time mass-consumer device.

https://x.com/thomasgermain/status/2024165514155536746

I would bet just the first two text fields would be enough to catch out vibecoders.

[1] https://www.reddit.com/r/macapps/comments/1r6d06r/new_post_r...