They've totally bought into the most extreme AI hype if this is happening. Altman convinced them AI is a PhD in your pocket and their lazy employees are costing them money by not using it.
Kinda wonder what the extent of this is. You can get some really great results from your employees by mandating shit like this. /s
I use AI daily and frankly I love it while thinking of it from the context of "I write some rough instructions and it can autocomplete an idea for me to an extremely great degree". AI literally types faster than me and is my new typewriter.
However, if I had to use it for every little thing, I'd do it. The problem though is when it reaches a point where I have to use it to replace critical thinking for something I really don't know yet.
The problem here is that these LLMs can and will churn out absolute trash. If this was done under mandate, the only thing I'd be able to respond with when that trash is being questioned is "the AI did it" and "idk, I was using AI like I was told".
It literally falls into the "above my pay-grade" category when it comes down as a mandate.
I really hope there's more nuance to articles like these though. I really hope these companies mandating AI use are doing so in a way that considers the limitations.
This article does not really clue me the reader in to if that is the case or not though.
I wish, where I’m at we had to agree not to use it without “disclosure”, not even sure what that means. Oh but also we agree to do code reviews, and since we would review the code regardless of how it was written I don’t know what the concern is about… notably there was never anything written about not using code generation tools which have existed for many decades… anyways I just use AI anyways but it would of course be better if work would fund it!
What’s the controversy, unless people are straw manning or pulling from some bad personal experience?
If you are not leveraging the best existing tools for your job (and understanding their limitations) then your output will be lower than it should be and company leadership should care about that.
Claude reduces my delivery time at my job like 50%, not to mention things that get done that would never have been attempted before. LLMs do an excellent job seeding literature reviews and summarizing papers. Would be a pretty bad move for someone in my position to not use AI, and would be pretty unreasonable of leadership not to recognize this.
You didn't have to punish athletes to make them wear Nike and Adidas shoes, because they were obviously better than plain sneakers. You didn't have to punish graphic artists to make them use tablets because they are so convenient for digital art. But a lot of bosses are convinced that if their staff don't find these tools useful for their tasks, its the line workers who are wrong.
People wouldn't keep using old shoes, and I am old enough to remember graphic artists who wouldn't use computers. It takes time. At some point, it will be a no-brainer. Yet, it will not be simply because method A is so much better than method B. It will be because people using method B change, retire, or are fired.
The more I interact with these the less I’m afraid these tools will make life meaningless. (Can’t speak on art generation tools. Those still depress me.) It doesn’t matter what you’re making there are still a lot of hard parts even with the best versions of these tools. I doubt a good software developer can be replaced totally unless these get way better.
The best use cases are for code that’s clearly not an end product. You can just try way more ideas and get a sense of which are likely to pan out. That is tremendously valuable. When I start reading the code they produce, I quickly find many ways I would have written it differently though.
It would be easier to use AI at work if it would work.
I have a prompt which opens scans of checks placed on a matching invoice (EDIT: Note that the account line is covered when the scan is made so as to preclude any Personal Identifying Information being in the scan) and writes a one line move command to rename the file to include the amount of the check and date, and the invoice ID# and various other information, allowing it to be used to track that the check was entered/deposited and copying a folder full of files as their filepath so that the text of that can be pasted into Notepad, find-replaced to convert the filenames into tab-separated text, then pasted into Excel to total up to check against the adding machine tape (and to check overall deposits).
On Monday, it worked to drag multiple files into Co-Pilot and run the prompt --- on Tuesday, Co-Pilot was updated so that processing multiple files was the bailiwick of "Co-Pilot Pages Mode", so it's necessary to get into that after launching it, requiring a prompt, then pressing a button, then only 20 files at a time can be processed --- even though the prompt removes the files after processing, it only allows running a couple of batches, so for reliability, I've found it necessary to quit after each batch and re-start. However, that only works five or six times, after that, Co-Pilot quits allowing files to upload and generates an error when one tries --- until it resets the next day and a few more can be processed.
I've been trying various LLM front-ends, but Jan.ai only has this on their roadmap for v0.8, and the other two I tried didn't pan out --- anyone have an LLM which will work for processing multiple files?
I know a startup founder whose company is going through a bit of a struggle - they hired too many engineers, they haven't gotten product-market fit yet, and they are down to <1 year of runway.
The founder needed to do a layoff (which sucks in every dimension) and made the decision to go all-in on AI-assisted coding. He basically said "if you're not willing to go along, we're going to have to let you go." Many engineers refused and left, and the ones that stayed are committed to giving it a shot with Claude, Codex, etc.
Their runway is now doubled (2 years), they've got a smaller team, and they're going to see if they can throw enough experiments at the wall over the next 18 months to find product-market fit.
If they fail, it's going to be another "bad CEO thought AI could fix his company's problems" story.
But if they succeed....
(Curious what you all would have done in this situation btw...!)
16 comments
[ 2.2 ms ] story [ 40.5 ms ] threadI use AI daily and frankly I love it while thinking of it from the context of "I write some rough instructions and it can autocomplete an idea for me to an extremely great degree". AI literally types faster than me and is my new typewriter.
However, if I had to use it for every little thing, I'd do it. The problem though is when it reaches a point where I have to use it to replace critical thinking for something I really don't know yet.
The problem here is that these LLMs can and will churn out absolute trash. If this was done under mandate, the only thing I'd be able to respond with when that trash is being questioned is "the AI did it" and "idk, I was using AI like I was told".
It literally falls into the "above my pay-grade" category when it comes down as a mandate.
I really hope there's more nuance to articles like these though. I really hope these companies mandating AI use are doing so in a way that considers the limitations.
This article does not really clue me the reader in to if that is the case or not though.
If you are not leveraging the best existing tools for your job (and understanding their limitations) then your output will be lower than it should be and company leadership should care about that.
Claude reduces my delivery time at my job like 50%, not to mention things that get done that would never have been attempted before. LLMs do an excellent job seeding literature reviews and summarizing papers. Would be a pretty bad move for someone in my position to not use AI, and would be pretty unreasonable of leadership not to recognize this.
The best use cases are for code that’s clearly not an end product. You can just try way more ideas and get a sense of which are likely to pan out. That is tremendously valuable. When I start reading the code they produce, I quickly find many ways I would have written it differently though.
I have a prompt which opens scans of checks placed on a matching invoice (EDIT: Note that the account line is covered when the scan is made so as to preclude any Personal Identifying Information being in the scan) and writes a one line move command to rename the file to include the amount of the check and date, and the invoice ID# and various other information, allowing it to be used to track that the check was entered/deposited and copying a folder full of files as their filepath so that the text of that can be pasted into Notepad, find-replaced to convert the filenames into tab-separated text, then pasted into Excel to total up to check against the adding machine tape (and to check overall deposits).
On Monday, it worked to drag multiple files into Co-Pilot and run the prompt --- on Tuesday, Co-Pilot was updated so that processing multiple files was the bailiwick of "Co-Pilot Pages Mode", so it's necessary to get into that after launching it, requiring a prompt, then pressing a button, then only 20 files at a time can be processed --- even though the prompt removes the files after processing, it only allows running a couple of batches, so for reliability, I've found it necessary to quit after each batch and re-start. However, that only works five or six times, after that, Co-Pilot quits allowing files to upload and generates an error when one tries --- until it resets the next day and a few more can be processed.
I've been trying various LLM front-ends, but Jan.ai only has this on their roadmap for v0.8, and the other two I tried didn't pan out --- anyone have an LLM which will work for processing multiple files?
I know a startup founder whose company is going through a bit of a struggle - they hired too many engineers, they haven't gotten product-market fit yet, and they are down to <1 year of runway.
The founder needed to do a layoff (which sucks in every dimension) and made the decision to go all-in on AI-assisted coding. He basically said "if you're not willing to go along, we're going to have to let you go." Many engineers refused and left, and the ones that stayed are committed to giving it a shot with Claude, Codex, etc.
Their runway is now doubled (2 years), they've got a smaller team, and they're going to see if they can throw enough experiments at the wall over the next 18 months to find product-market fit.
If they fail, it's going to be another "bad CEO thought AI could fix his company's problems" story.
But if they succeed....
(Curious what you all would have done in this situation btw...!)