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Comment by stoniejohnson | Hacker News Reader

Am I the only one that feels like this article really doesn't say anything at all?

Sure most of the work in the computing world is done by scripts (written by humans).

Sure if an AI can magically write/manage all those scripts that would be great.

I don't really see anything beyond someone creating an artificial divide in computing that I don't really see as relevant ("batch" vs using a literal app with an AI feature).

Of course most computing doesn't require a person to be interacting with it.

I'm being genuine here; please clarify if I'm just lacking context.

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Looks like a quick blog post by a PI outlining 3 of their lab's projects and giving a quick overview of their research directions.

I wouldn't take it as an informational article in the sense you're looking for. It's more like a press release, and pretty common in academia to release these fluff blog posts.

https://en.m.wikipedia.org/wiki/Principal_investigator

For anyone who doesn’t know what a PI is (I didn’t when I first got a job at a university).

I was going to say the same thing, and then I also noticed that since the popularity of the transformer model, there sure seems to be a huge influx of Stanford articles. I wonder if that’s coincidence.

I think what they mean is that for now most of the usage of things Chatgpt, mid journey etc has a human in the loop that helps getting the right result. For example plenty of people post AI generated images on Twitter. This works because they filter and chose what to post among a lot of generated images. If Twitter decided that every single post gets an automatically generated image, first of all they would have to find a way to lower the immense amount of computed power, and secondly to guarantee that every single time the result is valid and consistent in quality.

> Of course most computing doesn't require a person to be interacting with it.

Most LLM output is worthless before validation. Be it code, problem solving or question answering, they can all be wrong at any time.

I’m just waiting for a fancy marketing term to appear for this.

And then big cos will jump the bandwagon and we’ll have a new trend!

Call them "AI Managers". They manage AI, but they're not managers that are AI, hence securing high-paid managerial jobs. Checkmate.

I prefer AI whisperer. Manager sounds so pedestrian.

AI Conductor?

AI-Enhanced Batch Processing (AIEBP)

IntelliBatch: Intelligent Batch Processing

AutomaBatch: Automated Batch Processing with AI

I’m getting some real good vibes here. We’re getting close. I’m sure actual enterprise actors can come up with something even worse.

maigic

Think you won the contest here.

I think it is a good idea to give users batch mode, get 10x lower price in exchange for higher latency. If you want to parse millions of documents it is really useful.

What I got out of it:

1. What if we used foundation models to write code?

2. But the code might not work...

Humans write broken code all the time. Why would we expect a transformer model to get it right on the first shot? shouldn't the model be able to write code, build, test, and iterate?

You could test that yourself. Ask the model to code, build, test, and iterate. Does it do a better job?

The lack of proper memory hampers current AI. They can’t really test and iterate. Until we have an AI that can truly learn on the job I doubt we’ll be replacing many jobs.

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