i didnt downvote you but why wouldn't i just go to Polymarket directly for this

I mean you obviously could, the url is a little harder to remember and it doesn't have crossing data. This was just a small fun project I did, so you're free to do whatever you like. The reason I thought of using polymarket data is I didn't have live ship tracking data which is what I originally intended to use.

I don't mean to say your project is not good, quite the opposite. You successfully got the real vessel crossing data and the prediction data is sort of derived or not really based on reality but on the crowd.

Which sounds like a great thing. Less undiscovered security vulnerabilities

The only people panicking are probably those state level actors who were using these for their own benefit.

Unless you're on the supreme court that will continue to be the case

Sounds like you agree with me that “we” haven’t decided.

Yes unfortunately we don't get a say

If you will do a deal at any price, as Donny says "you have no cards". https://en.wikipedia.org/wiki/Best_alternative_to_a_negotiat...

Negotiation with the government is also done in Australia. The drug is not banned here though if there's no agreement. It's just not publicly funded.

You understand the US is the most expensive place in the world for medicine right.

If you don't change your strategy this won't change. https://www.comparethemarket.com.au/health-insurance/feature...

> Negotiation with the government is also done in Australia. The drug is not banned here though if there's no agreement. It's just not publicly funded.

A tariff isn't a ban either. Imposing a tariff and eliminating a subsidy are both just ways of reducing a foreign drug maker's sales in a local market by making the product more expensive.

Fundamentally, neither Australia nor the U.S. can force companies located in Switzerland or Denmark to sell them drugs at a particular rate. The only leverage they have is hurting drug maker's sales by reducing the demand in the local market.

> You understand the US is the most expensive place in the world for medicine right... If you don't change your strategy this won't change.

The executive negotiating with drug manufacturers is a dramatic change in strategy from what the U.S. has done before.

Very cool, expensive machines?

Is a LLM logic in weights derived from machine learning?

Well, yes. That's literally what it is.

What what is? The article has nothing to do with LLMs. It even explicitly says they don’t use LLMs.

> Is a LLM logic in weights derived from machine learning?

I was just answering this question. LLM logic in weights is fundamentally from machine learning, so yes. Wasn't really saying anything about the article.

Good one… but Is a DB query filter AI? I forgot to say though is sounds like a really cool thing to do

Strictly speaking, expert systems are AI as well, as in, an expert comes up with a bunch of if/else rules. So yes technically speaking even if they didn’t acquire the weights using ML and hand-coded them, it could still be called AI.

It is 100% valid to label an algorithm that plays tic-tac-toe as "AI"

Much of the early AI research was spent on developing various algorithms that could play board games.

Didn't even need computers, one early AI was MENACE [1], a set of 304 matchboxes which could learn how to play noughts and crosses.

[1] https://en.wikipedia.org/wiki/Matchbox_Educable_Noughts_and_...

Yup this is exactly my point, in the 80s there were plenty of “AI” companies and “fuzzy logic” was the buzzword of the day.

I built the Matchbox for Hexapawn, detailed in National Geographic Kids!

I didn't know what a Jujube was, but I got the idea.

That Hexapawn article was my first introduction to AI as a kid, though I never actually built it.

Found it in a "Reader's Digest Young Persons annual" which my dad got when he was a kid in the 60s. I still have that.

The original article from Scientific American: https://people.csail.mit.edu/brooks/idocs/GardnerHexapawn.pd...

You're probably talking about the same book I had then. I also remember it started off with a Mercury astronaut story, also had the story of Shackleton's Arctic voyage, and a two-page game board that was about trying to drive a car around China.

Not the same. The story about John Glenn's "day in space" was about half way through, nothing about Shackleton and the two-page board game was "race to the moon"

The board game was paired with an abridged version of Wernher von Braun's "First Men to the Moon", which 7-year-old me assumed was an accurate depiction of the moon landings (literally in the same book as an actual Mercury mission, and the Challenger Deep dive).

They were probably pulling from the same pool of articles.

I think this happened with airline pilots and they're experiencing a boom now

Have you heard of paying with PayPal/credit card?

while possibly too sneery for this site, paypal and a real credit card will have buyer protections. Debit cards, and basically anything else will not.

I love it. I love having agents write SQL. It's very efficient use of context and it doesn't try to reinvent informal retrieval part of following the context.

Did you find you needed to give agents the schema produced by this or they just query it themselves from postgres?

so most analyses already have a CLI function you can just call with parameters. for those that don't, in my case, the agent just looked at the --help of the commands and was able to perform the queries.