Frankly, if not using chatgpt reduces your peformance significantly I wouldn’t want to work with you. It would mean that you’re not doing much more than copy and pasting random search results into the project and don’t spend any time validating, vetting or testing them. Chatgpt is just a new interface to already existing data.
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.
This is like banning search engines because you expect your workers to be expert at everything,
More like banning your engineers from discussing their work with third parties. If you feed chatgpt the same queries that you would feed to a search engine you’re probably not using it optimally.
Frankly, if not using chatgpt reduces your peformance significantly I wouldn’t want to work with you. It would mean that you’re not doing much more than copy and pasting random search results into the project and don’t spend any time validating, vetting or testing them. Chatgpt is just a new interface to already existing data.
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.
Better stop using xerox machines to make copies and write everything out by hand
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.
More like banning your engineers from discussing their work with third parties. If you feed chatgpt the same queries that you would feed to a search engine you’re probably not using it optimally.
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.
You could argue the same thing about using google. Yet you use google.