That is all they are good for. They are ok for translation, although even then they miss a lot of nuance like someone who can speak a language but isn’t fluent.
Well, there are a lot of malicious uses, but passable translation is the one positive use case.
Wife is a lawyer. She needs to do complex keyword searches on massive volumes of legal documentation. She absolutely loves how quickly and easily Copilot parses and tabulates info based on her queries.
Total game changer for the kind of work she’s doing.
I work in IT. Love to cobble together scripts in languages I’m otherwise unfamiliar using Claude. It’s also excellent at diagnosing system errors and providing effective remediation.
There are better AI options that could be developed for that over a massive all in one inefficient LLM like Copilot. If the same amount of money was thrown at dedicated development AI and searches it would require far less energy, pollution, hardware, and could be run locally in many cases with the same or better results.
I was replying to a post about LLMs and the article is about LLMs so while it is true that AI predates LLMs and the label isn’t literally limited to only LLMs and genAI those two things have taken over the label and are what nearly everyone means when they say AI.
They aren’t talking about the AI used to find exoplanets, or the AI used with lidar to find structures in jungles, or to do actual medical science, or all of the other types that are useful tools. The article is about LLMs implemented by the big companies that are designed to steal and manipulate data in ways that are detrimental to society.
That is all they are good for. They are ok for translation, although even then they miss a lot of nuance like someone who can speak a language but isn’t fluent.
Well, there are a lot of malicious uses, but passable translation is the one positive use case.
They could replace the CEOs. Huge cost savings for stock owners.
I mean, a drunk chicken could replace a CEO.
A sociopathic drunk chicken, maybe
Wife is a lawyer. She needs to do complex keyword searches on massive volumes of legal documentation. She absolutely loves how quickly and easily Copilot parses and tabulates info based on her queries.
Total game changer for the kind of work she’s doing.
I work in IT. Love to cobble together scripts in languages I’m otherwise unfamiliar using Claude. It’s also excellent at diagnosing system errors and providing effective remediation.
There are better AI options that could be developed for that over a massive all in one inefficient LLM like Copilot. If the same amount of money was thrown at dedicated development AI and searches it would require far less energy, pollution, hardware, and could be run locally in many cases with the same or better results.
You can take that up with management. I don’t get to pick what AI agent my boss decided to pay for.
You have, and let me be clear on this, absolutely no idea what you are talking about.
Also, not all AI is LLMs
I was replying to a post about LLMs and the article is about LLMs so while it is true that AI predates LLMs and the label isn’t literally limited to only LLMs and genAI those two things have taken over the label and are what nearly everyone means when they say AI.
They aren’t talking about the AI used to find exoplanets, or the AI used with lidar to find structures in jungles, or to do actual medical science, or all of the other types that are useful tools. The article is about LLMs implemented by the big companies that are designed to steal and manipulate data in ways that are detrimental to society.