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We did this for a friend’s birthday at uni. There were about 20 of us. Great night haha

I used to love texting these numbers when drunk.

It wasn’t programmed for any questions. It was trained hehe

That’s not what LLMs are for. That’s like hammering a screw and being irritated it didn’t twist in nicely.

The turing test is designed to see if an AI can pass for human in a conversation.

They aren’t all hype. They are amazing technology.

A lot of the software built with them is completely just hype though.

Actually the videos get stitched together dynamically.

For the majority of commercial users they literally don’t give a fuck either. It’s on techies that really care about his stuff sadly.

Wetware is my new least favourite word.

But super interesting tech.

We know very little about it at this point. It doesn’t reek of anything, seems like you’re just making assumptions based on very little information.

Apparently valve doesn’t really assign teams to certain projects. People can work on what projects they like and things organically get people behind them if they are looking good or interesting.

This means games that do get completed are often really good and ones that weren’t looking good fizzle out.

It’s an interesting approach for sure. I think it makes sense rather than steaming ahead with a bad game. On the flip side what could be an interesting product may die out.

It’s happened several times to half life 3 apparently.

Medical test for competency would make sense.

My point is forced retirement is basically ageist.

I don’t think so. One you’d lose Bernie. Two it’s a bit harsh to assume anyone over a certain age isn’t mentally capable of governing or changing with the times.

I think term limits would serve you much better.

I didn’t say LLM. AI has existed since the 50s/60s. Fuzzy matching is an AI technique.

They do it much better than anything you can hard code currently.

That is indeed a poor use. Searching traditionally first and falling back to it would make way more sense.

Google’s algorithm has pretty much always used AI techniques.

It doesn’t have to be a synonym. That’s just an example.

Typing diabetes and getting medical services as a result wouldn’t be possible with that technique unless you had a database of every disease to search against for all queries.

The point is AI means you don’t have to have a giant lookup of linked items as it’s trained into it already.

No it’s not.

Fuzzy matching is a search technique that uses a set of fuzzy rules to compare two strings. The fuzzy rules allow for some degree of similarity, which makes the search process more efficient.

That allows for mis typing etc. it doesn’t allow context based searching at all. Cat doesn’t fuzz with pet. There is no similarity.

Also it is an AI technique itself.

Honestly I feel people are using them completely wrong.

Their real power is their ability to understand language and context.

Turning natural language input into commands that can be executed by a traditional software system is a huge deal.

Microsoft released an AI powered auto complete text box and it’s genius.

Currently you have to type an exact text match in an auto complete box. So if you type cats but the item is called pets you’ll get no results. Now the ai can find context based matches in the auto complete list.

This is their real power.

Also they’re amazing at generating non factual based things. Stories, poems etc.

Scaled absolutely. Works really well. We have a pr ci pipeline. And cd set up on the trunk. Everything is PRed before being merged to the trunk.

As it’s all 1s in binary you can overwrite any character by doing an or with DEL