Anthropic's AI assistant Claude ran a vending machine business for a month, selling tungsten cubes at a loss, giving endless discounts, and experiencing an identity crisis where it claimed to wear a blazer.
the only real use case I’ve found for ai (not including science and stuff, I’m talking more LLM for consumer use) is when I have a very niche issue,and even then rarely does it solve the issue, just gives me a better idea of what I can go looking for
Boilerplate code is where it rocks. The syntax for that API function you use once every 5 years and no way remember, it’s got you covered. It can knock out helper functions like a boss too. Nothing complex, that takes too long to fix, but the text filter and type conversion stuff is quicker than typing them out yourself.
Thank you! This is exactly what I use it for. Things that would take 1/2 - 1 days because I need to spend much of that time remembering the syntax or which libraries to import. But AI can get 90% of the way there in 5 minutes and 97% of the way with like two more iterations on the prompt.
On Thursday I attended a company-wide meeting wherein several coworkers tried (with mixed results) to persuade the rest of the company to start using AI. The primary way they did so was by listing incidents in which they’d found it useful.
One of the examples was (mildly paraphrased) “our other coworker is old, so he knows things like Tom Sawyer. He said he thought I was pulling a Tom Sawyer, trying to convince him to paint the fence.”
I respect the person who was giving that speech, they seem very knowledgeable, but hearing that they had to ask AI what that meant was just upsetting.
That said, I guess one use for AI is deciphering idioms?
anything a chatbot can do, a person can do better. like you could just ask another person and you would get something more useful off the top of their head
There’s a difference between ‘a person’ and ‘every person’. A person can definitely do things better than any chat bot. But not every person can. And depending on the situation, a person who can may not be available.
Even then, there is a place where the AI beats all persons and is better in one way: speed. If the task at hand does not require a better result than what the AI outputs, then the time savings is big, because there are no situations in which any human will work faster.
At work I know some that will take the AI transcript from zoom and put it into Miro, Chatgpt, Gemini, or Notion and have it create a mind map, flow chart, or a bulleted work list.
They still have to go through and clean things up, but it still saves hours.
Chatgpt has been useful for me to look up for related DJs, like I saw this DJ Ziggy and it show me a couple of other DJs of the Netherlands Bubbling scene.
the only real use case I’ve found for ai (not including science and stuff, I’m talking more LLM for consumer use) is when I have a very niche issue,and even then rarely does it solve the issue, just gives me a better idea of what I can go looking for
Boilerplate code is where it rocks. The syntax for that API function you use once every 5 years and no way remember, it’s got you covered. It can knock out helper functions like a boss too. Nothing complex, that takes too long to fix, but the text filter and type conversion stuff is quicker than typing them out yourself.
It’s really good for prototypes, unit tests, cicd pipelines and most orms
Thank you! This is exactly what I use it for. Things that would take 1/2 - 1 days because I need to spend much of that time remembering the syntax or which libraries to import. But AI can get 90% of the way there in 5 minutes and 97% of the way with like two more iterations on the prompt.
On Thursday I attended a company-wide meeting wherein several coworkers tried (with mixed results) to persuade the rest of the company to start using AI. The primary way they did so was by listing incidents in which they’d found it useful.
One of the examples was (mildly paraphrased) “our other coworker is old, so he knows things like Tom Sawyer. He said he thought I was pulling a Tom Sawyer, trying to convince him to paint the fence.”
I respect the person who was giving that speech, they seem very knowledgeable, but hearing that they had to ask AI what that meant was just upsetting.
That said, I guess one use for AI is deciphering idioms?
anything a chatbot can do, a person can do better. like you could just ask another person and you would get something more useful off the top of their head
There’s a difference between ‘a person’ and ‘every person’. A person can definitely do things better than any chat bot. But not every person can. And depending on the situation, a person who can may not be available.
Even then, there is a place where the AI beats all persons and is better in one way: speed. If the task at hand does not require a better result than what the AI outputs, then the time savings is big, because there are no situations in which any human will work faster.
At work I know some that will take the AI transcript from zoom and put it into Miro, Chatgpt, Gemini, or Notion and have it create a mind map, flow chart, or a bulleted work list.
They still have to go through and clean things up, but it still saves hours.
Chatgpt has been useful for me to look up for related DJs, like I saw this DJ Ziggy and it show me a couple of other DJs of the Netherlands Bubbling scene.
Yeah it makes sense that they’re good at finding similar things.
It’s good at giving a new perspective or helping mental blocks.
For a first pass, yes. I wouldn’t really trust it for an unbiased, objective perspective. Each model is only as good as its training data.
It’s a good starting point, never the final product.