aidos

With everything you must have going on right now, I love that you’ve come on to explain your headline is an intentional joke. All sorts being thrown around in this thread, but this was definitely the important thing to clarify.

For what it’s worth, however it works out, my guess is that the primitive Jev provides is likely to be considered essential in the future development of software.

That GPT-6 Sol max pelican looks… so old and depressed.

Heh. I got access yesterday. Worked really well to have Claude take my task and convert it into a batch of questions for Jev, firing 100 records through it and then aggregating the results.

I see a bunch of people saying that there were already similar solutions in this space. Maybe true but it definitely feels like the missing primitive for working with llms. Can immediately see how it can be deployed in real applications in a way that the autoregressive chat approach can’t.

Also recommend his other books!

Big Bang - history of the understanding of space and the universe

Code book - history of the maths of ciphers

Haven’t read them for years but I’ve been meaning to again

Is it just me or does the dragging feel backwards?

That’s… bonkers. I’m not even sure what it’s trying to say

I wasn’t trying to make a “got em” comment.

The fact that this is possible and works at all is mind blowing - even more mind blowing is that my 8 yo is growing up in a world where they can talk to a machine to produce a custom application in seconds and they don’t realise how mind blowing it is!

In terms of the code, it would take even less time than that to tidy it up. For this application you wouldn’t bother. That’s almost a form of “premature optimisation” unless you’re actually planning on doing more work on it.

My hunch is that what the world is about to see a lot of is much bigger bits of work, or changes to other bigger existing systems done by people without the skills to know how to contain the complexity. That’s going to come with a burden.

Yesterday my 8yo prompted (using voice recognition) Claude to make a game where it would play her a song (say Twinkle) and she had to play it back and get scored. The UI was a nice piano with visual feedback. The laptop key served as the keys until I prompted for midi support so she could use the electric piano. The whole thing took about 15 minutes.

Meanwhile, one peak at the code and you can already see the state starting to become a bit of a spaghetti mess.

It’s a funny time to live through. A lot of code is being written and a lot of it is going to be a real future burden.

Are you suggesting something like this?

    def createUesr(db):
        if db is type1:
            behaviour1
        if db is type2:
            behaviour2

I think you can use a passkey now.

Don’t get me wrong, I very much agree with the danger. As I highlighted - I saw it this morning when someone used Claude to draw the wrong conclusions.

I’m saying there is a way in which they can be used where there isn’t scope for numerical hallucinations at all. They can write sql queries, for example, without ever being allowed to even see numbers.

What invariably does and will happen though is they’ll inner join instead of left join and some data will get missed. Or there will be some missing context (users in this set already have a certain class of property by virtue of some selection bias and that will be mistreated as some signal etc).

Depends on how it’s done.

I use it a lot now for knocking up grafana charts etc. It’s not so much that the LLM is feeding the numbers through. You can still use real tools to analyse and summarise the numbers, it’s just much quicker at driving them.

As ever with data analysis, two things will continue to be true. Real insights come from spotting something that looks off and digging into it deeper. Secondly, it’s really easy to connect data in a misleading way.

I’ve had a Claude analysis handed to me this morning including a summary list of actions we’re going to take next which falls into this very trap.

The insights you’ll get from your data will only be as deep as the curiosity of the person at the helm.

Alleycat in CGA just hit me hard.

For the people that didn’t live through this time, lining these images up makes it obvious why those that did speak of how visually impressive the Amiga was.