I’m gonna vehemently disagree with you. As a knowledge worker, ChatGPT allows me to offload low level thinking and writing tasks so I can focus on bigger picture creative aspects.
GPT speeds up my quality work output by around half. Those who refuse to incorporate it into their work flow will find they fall behind compared to those who have successfully integrated it.
Then you don’t have much faith for your co-workers competence in wielding any given tool to its greatest utility. Using an LLM like ChatGPT to access data hardly automatically means you’re also a brain-dead search result copy-paster.
Yes, its a new interface for existing data, the same way digital files are to data on paper. Only ever using the latter is really inefficient, and stupid in a world where the digital files exist. Not that the hardcopies cant be to their own utility, or be used as corroborating data.
It’s a really good interface, if you know how to use it. This is like banning search engines because you expect your workers to be expert at everything, so they shouldn’t need support tools to sleuth for data.
Leaking industry secrets is a much bigger concern that boosting productivity a little bit.
We’re talking about very specialized engineering work, it’s not something you can totally rely on a bot to do, though it might help sometimes, it’s fully understandable for specialized companies to want to ban GPT internally, until there’s a way for them to host a totally internal one.
I don’t think being a customer would work either, language models are still on the training, noone knows exactly how users queries are used, that’s a big no no for every company having to protect their secrets.
A self-hosted instance is a much better solution, if not the only “safe” one from that point of view, we’ll get there.
It’s a MASSIVE security risk. What you tell ChatGPT is not private, if you knowingly or unknowingly tell ChatGPT secret information you have no control over where that information may go. Especially for a company for Apple that lives & breaths on surprise product releases.
This is true, but if you understand that queries don’t necessarily need to also become training data, what you tell it could absolutely be kept secret, provided the necessary agreements and changes were to be made. Nothing about an LLM means you can’t make it forget things you’ve told it. What you can’t make it forget, without re-training it from the ground up with that piece of information omitted, is what you told it in the training data.
I agree with your sentiment if the tech were self-hosted, but there are huge security risks to pasting sensitive internal content into a third party took
How to neuter your own ability to compete: ban your workers from using the latest tool for boosting employee performance.
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I’m gonna vehemently disagree with you. As a knowledge worker, ChatGPT allows me to offload low level thinking and writing tasks so I can focus on bigger picture creative aspects.
GPT speeds up my quality work output by around half. Those who refuse to incorporate it into their work flow will find they fall behind compared to those who have successfully integrated it.
Then you don’t have much faith for your co-workers competence in wielding any given tool to its greatest utility. Using an LLM like ChatGPT to access data hardly automatically means you’re also a brain-dead search result copy-paster.
Yes, its a new interface for existing data, the same way digital files are to data on paper. Only ever using the latter is really inefficient, and stupid in a world where the digital files exist. Not that the hardcopies cant be to their own utility, or be used as corroborating data.
It’s a really good interface, if you know how to use it. This is like banning search engines because you expect your workers to be expert at everything, so they shouldn’t need support tools to sleuth for data.
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You could argue the same thing about using google. Yet you use google.
Better stop using xerox machines to make copies and write everything out by hand
Frankly, if ChatGPT isn’t increasing your performance significantly, you’re already falling behind the curve unless you’re doing manual labor.
Exactly. Used correctly, the amount of man-hours ChatGPT is able to save, is truly ludicrous.
Leaking industry secrets is a much bigger concern that boosting productivity a little bit.
We’re talking about very specialized engineering work, it’s not something you can totally rely on a bot to do, though it might help sometimes, it’s fully understandable for specialized companies to want to ban GPT internally, until there’s a way for them to host a totally internal one.
On this I agree entirely. The potential for corporate espionage because of unwitting employees using an LLM through unofficial means is huge.
At the very least, the corporation itself would have to be the customer, so that watertight terms might be negotiated, not the employee.
I don’t think being a customer would work either, language models are still on the training, noone knows exactly how users queries are used, that’s a big no no for every company having to protect their secrets.
A self-hosted instance is a much better solution, if not the only “safe” one from that point of view, we’ll get there.
It’s a MASSIVE security risk. What you tell ChatGPT is not private, if you knowingly or unknowingly tell ChatGPT secret information you have no control over where that information may go. Especially for a company for Apple that lives & breaths on surprise product releases.
This is true, but if you understand that queries don’t necessarily need to also become training data, what you tell it could absolutely be kept secret, provided the necessary agreements and changes were to be made. Nothing about an LLM means you can’t make it forget things you’ve told it. What you can’t make it forget, without re-training it from the ground up with that piece of information omitted, is what you told it in the training data.
But queries, do not suffer this limitation.
I agree with your sentiment if the tech were self-hosted, but there are huge security risks to pasting sensitive internal content into a third party took