Our entire world is about reducing the friction of conducting a transaction

How to fix the lack of trust which is needed to conduct a transaction

Contracts affix a moment of trust in time, so even when trust is lost between parties the contract has guardrails for behavior and consequences for acting outside those rails

There are many transactions that are completely inaccessible to most people because the need for a contract or lawyer is too high

LLM use allows for those inaccessible transactions to decrease, and get people further along to the point where a lawyer is accessible as well, and economically viable to use

"The goal of this website is to spread the amazing actions, feats, and words of the men and women currently aboard the International Space Station."

It is so easy for me to separate the art from the artists, study me

The goal of the website is clearly to serve ads.

Something that takes 5 seconds with bitcoin, faster than any other property type, is something you rationalize as taking 7 years

Why does HN collectively tolerate this level of understanding when it comes to crypto

> Something that takes 5 seconds with bitcoin, faster than any other property type, is something you rationalize as taking 7 years

> Why does HN collectively tolerate this level of understanding when it comes to crypto

Well that's really funny. Because the 7 years are about tax liabilities not the speed of bitcoin transactions.

So maybe you made a statement about crypto advocates here...

Legally obtained bitcoin is what the person I responded to said, suggesting anti money laundering concerns which are the concerns I responded to

And the tax liability sister comments all disagree with each other

Notably, the parent commenter hasn’t replied at all yet

> While mice with brains that are partly human might sound like a Kafkaesque experiment, the scientists said these are not "mice that think like humans".

oh, thank god

No, they are just grumpy.

Before OpenAI dropped ChatGPT, nobody knew chat would be such a hit. Several labs had versions of these things, Google engineers were getting finessed by a rudimentary model just like in the movie Ex Machina that came out 10 years prior which was satirizing Google

But I don't agree that they aren't product-ized. There are many applications doing calls to LLMs behind the scenes and are hits, leveraging structured data very heavily and not having conversations with users at all. I would say that there is a predictable scope creep from executives to surface a conversational aspect though. We need to bring representation to that so we can point to some other best practice to push back

Can you give examples of wrapped LLM logic?

API calls are expensive and slow, so I’ve shied away from integrating them into my personal projects. And of course there’s always the risk of hallucination.

For converting unstructured data into (more) structured data, they're phenomenal.

Yes, they are expensive, but flexibility has a lot of value.

The keyboard in iOS since 18

I love this

Claude's mobile app wouldn't show any Cowork initiated conversations, even if those conversations didn't leverage cowork specific features

Its not for you, its advertisement, to preemptively avoid both consumer and securities fraud accusations, and for their enterprise client’s IT security review and SLAs

I have a shared understanding for what you're asking, but semantic versioning doesn't even make sense for AI models

these are essentially monthly releases, the dated releases that Deepseek and Qwen do make more sense

so what? put an LLM on Cerebras and get its responses faster, and put Jev on Cerebras and gets its responses even faster

this is interesting, so not an LLM but can be used in these use cases that LLM's have been shoehorned into

https://docs.typesafe.ai/concepts/use-case-map