Things that are inspiration or for approximations. Layout examples, possible correlations between data sets that need coincidence to be filtered out, estimating time lines, and basically anything that is close enough for a human to take the output and then do something with it.

For example, if you put in a list of ingredients it can spit out recipes that may or may not be what you want, but it can be an inspiration. Taking the output and cooking without any review and consideration would be risky.

Check out Ed Zitron's angry reporting on Tech journalists fawning over this garbage and reporting on it uncritically. He has a newsletter and a podcast.

It kinda does when you ask it something it doesn't like.

Most. I've used ChatGPT to sketch an outline of a document, reformulate accomplishments into review bullets, rephrase a task I didnt understand, and similar stuff. None of it needed to be anywhere near perfect or complete.

Edit: and my favorite, "what's the word for..."

I'm not claiming that the use of AI is ethical. If you want to fight back you have to take it seriously though.

It cant do 30% of tasks vorrectly. It can do tasks correctly as much as 30% of the time, and since it's llm shit you know those numbers have been more massaged than any human in history has ever been.

I meant the latter, not "it can do 30% of tasks correctly 100% of the time."

You get how that's fucking useless, generally?

Are you guys sure. The media seems to be where a lot of LLM hate originates.

It doesn't matter if you need a human to review. AI has no way distinguishing between success and failure. Either way a human will have to review 100% of those tasks.

How do I set up event driven document ingestion from OneDrive located on an Azure tenant to Amazon DocumentDB? Ingestion must be near-realtime, durable, and have some form of DLQ.

Whatever gets ad views

yes, that's generally useless. It should not be shoved down people's throats. 30% accuracy still has its uses, especially if the result can be programmatically verified.

Right, so this is really only useful in cases where either it's vastly easier to verify an answer than posit one, or if a conventional program can verify the result of the AI's output.

I see you mention Azure and will assume you’re doing a one time migration.

Start by moving everything from OneDrive to S3. As an AI I’m told that bitches love S3. From there you can subscribe to create events on buckets and add events to an SQS queue. Here you can enable a DLQ for failed events.

From there add a Lambda to listen for SQS events. You should enable provisioned concurrency for speed, the ability for AWS to bill you more, and so that you can have a dandy of a time figuring out why an old version of your lambda is still running even though you deployed the latest version and everything telling you that creating a new ID for the lambda each time to fix it fucking lies.

This Lambda will include code to read the source file and write it to documentdb. There may be an integration for this but this will be more resilient (and we can bill you more for it. )

Would you like to see sample CDK code? Tough shit because all I can do is assist with questions on AWS services.

Less broadly useful than 20 tons of mixed texture human shit, and more ecologically devastatimg.

Are you just trolling or do you seriously not understand how something which can do a task correctly with 30% reliability can be made useful if the result can be automatically verified.

Its not a magical 30%, factors apply. It's not even a mind that thinks and just isnt very good.

This isnt like a magical dice that gives you truth on a 5 or a 6, and lies on 1,2,3,7, and for.

This is a (very complicated very large) language or other data graph that programmatically identifies an average. 30% of the time-according to one potempkin-ass demonstration.
Which means the more possible that is, the easier it is to either use a simpler cheaper tool that will give you a better more reliable answer much faster.

And 20 tons of human shit has uses! If you know its providence, there's all sorts of population level public health surveillance you can do to get ahead of disease trends! Its also got some good agricultural stuff in it-phosphorous and stuff, if you can extract it.

Stop. Just please fucking stop glazing these NERVE-ass fascist shit-goblins.

I think everyone in the universe is aware of how LLMs work by now, you don't need to explain it to someone just because they think LLMs are more useful than you do.

IDK what you mean by glazing but if by "glaze" you mean "understanding the potential threat of AI to society instead of hiding under a rock and pretending it's as useless as a plastic radio," then no, I won't stop.

I liked when the Chicago Sun-Times put out a summer reading list and only a third of the books on it were real. Each book had a summary of the plot next to it too. They later apologized for it.