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Building a Personal AI Factory

john-rush.com

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Re: Building a Personal AI Factory

#161

Post by 6510 »

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.

The model T didn't manifest out of thin air after some incantation nor did it have a mysterious purposes somewhere between some and quite a lot. I assure you, compared to shit coin 90210 these are quite the interesting times.

It could be much bigger than the model T or much bigger than asbestos.

Re: Building a Personal AI Factory

#162

Post by MatveySecured »

puersum wrote: post #159

I believe we need to find more effective ways to integrate AI into our workflows. Anyone who is actively trying to adopt AI has likely encountered similar challenges, yet a definitive solution has yet to emerge. In my view, a key principle at this stage is to assign AI minimal responsibility and highly specific tasks. For example, I'm currently experimenting with an agent workflow for stock research. I've set up two…

hey! Your agent workflow for stock research sounds very interesting. Can you share a link please?

Re: Building a Personal AI Factory

#163

Post by player1234 »

stavros wrote: post #95
tptacek wrote: post #36

Earlier quoted context omitted.

We just had a story last night about a Python cryptography maintainer using Claude to add formally-verified optimizations to LLVM. I think the ship has sailed on skepticism about whether LLMs are going to produce valuable code; you can follow Simon Willison's blog for more examples.

I don't understand people who are sceptical about whether LLMs can give value. We're way past that, now at the stage where we're trying to figure out how to extract the most value out of them, but I guess humans don't like change much.

They jury is still out, they have spent hundreds of billions, trillions. And want trillions in ROI.

It does really cool stuff now when it is given away for free, but how cool is it when they want you to pay what it actually costs? With ROI and profits on top.

Re: Building a Personal AI Factory

#164

Post by dearilos »

I'm thinking about this a little differently.

You have to catch most issues at code review.

You can have an agent spit out code, but on PR open you should have another agent verify rules based on rules you define as a team.

It's what I'm building at wispbit.

Re: Building a Personal AI Factory

#165

Post by gerdesj »

tranchebald wrote: post #47
gerdesj wrote: post #33

"Here’s the secret sauce: iterate the inputs": No it isn't. There are no short cuts to ... anything. You expend a lot of input for a lot of output and I'm not too sure you understand why. "Example: an agent once wrote code ..." - not exactly world beating. If you believe this will take over the world, then go full on startup. YC is your oyster. I've run my own firm for 25 years. Nothing exciting and certainly not YC…

You come across as a massive hater. Maybe it’s a cultural thing. Do you actually have employees?

Not a hater at all. I only expound my view from my experience. Accusing me of hate is a bit extreme.

I have 20 employees.

Cultural? Really?

Re: Building a Personal AI Factory

#166

Post by neurostimulant »

Imagine a future where a program source code is a bunch of .md files, the build script is telling some ai agents to execute the plan in the .md files, and creating a new version is done by re-doing the same steps but with newer and smarter ai agent.

I'll probably became a farmer by then.

Re: Building a Personal AI Factory

#167

Post by webprofusion »

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...

This is deeply incorrect. Code is not and never will be a requirements specification.
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