The human mind is capable of the same thing, you know? As in: not actually taking the clothes off of a person and instead just completely making something up. I hereby give permission to all AI, and human minds, to completely make up what I look like naked.

PaymentIntents is definitely a Stripe abstraction, however, but that's one that I like. It's been a while since I used it, but I remember liking that it allowed me to bundle up everything related to the payment, i.e. the amount, the payment method, etc, and pass it around between server, client, and different views in the client, such that you could really build the exact payment flow you want without touching PCI data.

The Stripe abstractions I have always felt are much clunkier are the distinctions between Products/Prices/Subscriptions/SubscriptionSchedules, etc. A lot of "what lives where?" with those; very clunky to work with.

https://github.com/ralusek/streamie

allows you to do things like

    infiniteRecords
    .map(item => doSomeAsyncThing(item), { concurrency: 5 });

    infiniteRecords
    .map(item => doSomeAsyncSingularThing(item), { concurrency: 5 })
    .map(groupOf10 => doSomeBatchThing(groupsOf10), { batchSize: 10 })
    // Can flatten back to single items
    .map(item => backToSingleItem(item), { flatten: true });

Will it continue to transform the economy radically? Yes.

Will that translate to the model-makers somehow capturing the entire value of the transformed economy? No.

There were a few key moments that revealed this. When OpenAI initially declared "there is no moat," I wasn't sure whether to believe them. GPT 3.5 and 4 were so much better than the competition, it felt like them saying that they had no moat was some sort of attempt to avoid regulation or scrutiny. But then, lo and behold, Claude and Gemini caught up; there really was no moat.

But up until then, while it was clear that there was no moat around OpenAI, it was unclear if there was a moat around big tech. Mistral was meh. Even Meta's were meh. We also had no idea how much these models actually cost to run. It wasn't until the "DeepSeek moment," and especially once these open source models actually started being hosted on third party services, that it became clear that this was actually a competitive landscape.

And as has already been demonstrated, because the interface for all of these models is just plain language, the cost of switching models is basically non-existent.

Inconsistent execution/application of the law is how bias happens. If a judgement done to the letter of the law feels unjust to you, change the letter of the law.

It's also just not as good at being self-directed and doing all of the rest of the agent-like behaviors we expect, i.e. breaking down into todolists, determining the appropriate scope of work to accomplish, proper tool calling, etc.

Comments URL: https://news.ycombinator.com/item?id=46800244

Points: 2

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