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Building a Personal AI Factory

john-rush.com

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Re: Building a Personal AI Factory

#131

Post by lucubratory »

ffsm8 wrote: post #69
petesergeant wrote: post #44

Earlier quoted context omitted.

Having worked with some serious pieces of enterprise software, I don't think this is right. Anthropic is not going to perfect multi-vendor integrations, spin up a support team, and solution architect your problems for you. Enterprise software gets into the walls, and can be very hard to displace once deployed. If you build an LLM-wrapper resume parser, once you've got it into your client's workflows, they're going to…

But if you did become a unicorn, It would suddenly become very easy to replace for anthropic, because they're the ones actually providing the sauce and can just replicate your efforts. So your window of opportunity is to be too small for anthropic to notice and get interested. That can't be called unicorn That was the point he was making, at least that's how I understood it

She, but yes.

Re: Building a Personal AI Factory

#132

Post by ffsm8 »

lucubratory wrote: post #131
ffsm8 wrote: post #69

Earlier quoted context omitted.

But if you did become a unicorn, It would suddenly become very easy to replace for anthropic, because they're the ones actually providing the sauce and can just replicate your efforts. So your window of opportunity is to be too small for anthropic to notice and get interested. That can't be called unicorn That was the point he was making, at least that's how I understood it

She, but yes.

https://upload.wikimedia.org/wikipedia/en/f/f8/Internet_dog....

:)

Re: Building a Personal AI Factory

#133

Post by kentonv »

gen6acd60af wrote: post #79
fragmede wrote: post #54

Earlier quoted context omitted.

I think Cloudflare's oauth library qualifies https://news.ycombinator.com/item?id=44159166

This one? >Claude's output was thoroughly reviewed by Cloudflare engineers with careful attention paid to security and compliance with standards. >To emphasize, this is not "vibe coded". Every line was thoroughly reviewed and cross-referenced with relevant RFCs, by security experts with previous experience with those RFCs. Some time later... https://github.com/advisories/GHSA-4pc9-x2fx-p7vj / CVE-2025-4143 >The OAuth…

Sorry, my code has bugs sometimes.

Re: Building a Personal AI Factory

#134

Post by pydry »

simonw wrote: post #53
low_common wrote: post #46

Earlier quoted context omitted.

That's a pretty trivial example for one of these IDEs to knock out. Assembly is certainly in their training sets, and obviously docker is too. I've watched cursor absolutely run amok when I let it play around in some of my codebase. I'm bullish it'll get there sooner rather than later, but we're not there yet.

I think the hardest problem in computer science right now may be coming up with an LLM demo that doesn't get called "pretty trivial".

Really? This paper cut through the same kind of bullshit with puzzles: https://ml-site.cdn-apple.com/papers/the-illusion-of-thinkin...

What do you think is so difficult about doing the same thing with coding problems?

Re: Building a Personal AI Factory

#135

Post by hagbarth »

danielbln wrote: post #83
6510 wrote: post #76

Earlier quoted context omitted.

You have users fill out bug reports then throw some buckets of money at it. You could even add a magic button for when things don't work that reruns the same prompt and possibly get better results. A slot machine animation while waiting would be cool.

It's like a salt mine in here. Go ahead and hand weave your copper cable code while the world moves on and accelerates. Will there be slop along the way? Oh hell yes. The Model T car was notorious for blowing out tires left and right, to the point that a carriage might have been less hassle at times. Yet here we are.

I am not certain this is acceleration in anything other than lines of code.

Re: Building a Personal AI Factory

#136

Post by pydry »

qiine wrote: post #114
webprofusion wrote: post #55

The basic idea is that you can continuously document what your system should do (high level and detailed features), how it should prove it has done that, optionally how you want it to do it (architecture and code style etc). The multi-model AI part is just the (current) tool to help avoid bias and make fine tuned selections for certain parts of the task. Eventually large complex systems will be built and re-built fro…

sorry but again... https://i.pinimg.com/736x/03/af/06/03af0602a8caa51507717edd6...

It is weirdly easy to create a language that expresses specifications that is more complex and difficult to understand than the code which implements it. E.g. Z notation.

Re: Building a Personal AI Factory

#137

Post by slightwinder »

geekymartian wrote: post #32

ADHD coding, brute forcing product generation until you get it right? Just freaking write the code that you can expand and modify in the future instead of increasing your carbon footprint.

> ADHD coding, brute forcing product generation until you get it right?

Are we now pretending that humans aren't doing the same? Sure, it's usually on a higher level, but at the end we are also just brute forcing our way toward a solution through trial and error, and if someone is very experienced in the problem-domain, they can do it mostly in their head.

> carbon footprint

So if the AI-datacentre is running on renewables, you would be OK with this?

Re: Building a Personal AI Factory

#138

Post by simonw »

pydry wrote: post #134
simonw wrote: post #53

Earlier quoted context omitted.

I think the hardest problem in computer science right now may be coming up with an LLM demo that doesn't get called "pretty trivial".

Really? This paper cut through the same kind of bullshit with puzzles: https://ml-site.cdn-apple.com/papers/the-illusion-of-thinkin... What do you think is so difficult about doing the same thing with coding problems?

I don't understand the connection between that paper and my comment.

Re: Building a Personal AI Factory

#139

Post by [deleted] »

th0ma5 wrote: post #92
simonw wrote: post #53

Earlier quoted context omitted.

I think the hardest problem in computer science right now may be coming up with an LLM demo that doesn't get called "pretty trivial".

Maybe you should try something other than demos? Have you tried creating a reliable system?

[deleted]

Re: Building a Personal AI Factory

#140

Post by simonw »

Havoc wrote: post #126
low_common wrote: post #46

Earlier quoted context omitted.

That's a pretty trivial example for one of these IDEs to knock out. Assembly is certainly in their training sets, and obviously docker is too. I've watched cursor absolutely run amok when I let it play around in some of my codebase. I'm bullish it'll get there sooner rather than later, but we're not there yet.

I suspect personal tools are as close as we're going to get to this mythical demo that satisfies all critics. i.e. here is a list of problems i've solved with just AI. Strikes a balance between simplicity and real world usefulness

I tried that with https://tools.simonwillison.net/colophon - over 100 personal tools, some of which I use on a daily basis.
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