Yes, mostly because the Garmin app on iOS is pretty bad at keeping a live connection up even for weather =)

I trust both OpenAI And Anthropic, they have literal billions to lose if someone finds out they've been training with in-house corporate data.

Just the GDPR/CCPA fines alone WILL bankrupt both companies.

But it does increase knowledge and understanding.

Not in a deep deep level like "this is the optimal way to manage low level memory access in an Android application" but on a higher level of "It's possible to do a custom Android app in a week that's of decent quality for a small userbase".

Every piece of software doesn't need to be targeted for billion user hockey stick growth and an IPO as a target. It's perfectly fine to build something that's just right for 10 or 20 people. Or just for your immediate family.

For example I have a quiz tool I built with LLM assistance for Christmas that mine and my siblings kids use every December, they get clues appropriate for their level and rewards when they solve the daily task.

It's fine, has custom handling for every user etc. But also something I'd never bothered to build by hand from scratch nor something I'd pay someone to build for me. It was a fun "hmm, I wonder if..." project I started a few years ago on a late evening in November.

This is _exactly_ it.

The people who were twisting Excel+VBA into massive "applications" in-house should be getting Claude licenses and guidance how to do that with a custom application instead.

We've done that internally already with a few very successful use-cases and a bunch of "this is nice" -level things. I think one case saved us 4 figures a month when we built a bespoke service that does just the things we need and could replace a SaaS that had 420 features - of which we used 2.

If the choices are: Use excel/sheets or something massive in a janky way, pay someone to build it for me (massive cost) or DIY with LLM

The "pay someone to build it" is definitely the one I wouldn't touch, or even consider.

If it's a good idea, they'll already have the code and will run away and make their own business with it. If it's a bad idea, I've wasted a bunch of money.

And in both cases I'd need to spend an inordinate amount of time explaining the terminology and use-cases to the contractor, book meetings with them during office hours to talk about requirements and get demos etc.

With an LLM I can be walking the dog late at night, get an idea, and within 2 minutes I'll have Claude working on it via my phone.

Then I come back home and maybe test whether it worked while watching TV.

If I had fuck you money, I might have a contractor on call that would agree to workflows like that, but I'm just a middle class software dev so I don't :D

So Fable got export bans for this, when will it apply to OpenAI?

Or will the rules only apply to people who aren't on DoD's bad side?

The latter.

"AI firms must hold $10B in TrumpCoin for every rogue cyberattack they've precipitated."

Bingo. Problem solved.

> Yeah, but the people authoring those learned something.

I've built tools myself with AI assistance and I've learned a bunch, and will still keep learning.

But also you can make money by doing 80% of the work and managing the last 20% as it comes up.

And a human interprets bug tickets and specifications, turning them into code by making judgement calls.

Correct

> AI is the new "excel spreadsheet with ridiculous formulas on top of VB script on top of pivot tables" for the non-programmers.

This is exactly it. Moving all those abominations to bespoke applications at least lets us (Actual programmers) provide them with the tools to make their solutions a bit less bad. Linters, unit tests, code formatters etc. will make even the crappiest "this would've been a complex excel spreadsheet in the past" solution at least manageable.

And if a company doesn't have a workflow for supporting these, they'll either have a whole ass problem with people doing it without telling anyone or should get on it immediately.