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Honest question: What does GPT-3 add to my tookbox as a developer?
I wonder if anyone has successfully used it to create library documentation. Obviously you'd have to tweak whatever output you get but can GPT-3 provide a substantial starting point?
The so-called "open" in their name is an oxymoron. The whole thing is a trap. We need to work on our own, possibly publicly founded but really open solutions rather than depend on proprietary ones.
We really gotta come up with another thing to repeat as the go-to diss than this. I'm all for putting pressure on them to release weights etc but they are a lot more open than e.g. google or meta, and the whole "ClosedAI" is so over-repeated at this point.
Is it just me, or are phrases like "3x cheaper" hard for other people to grok too? For some reason they always require me to pause and try to sort it out. Like, is the price being reduced by 66% or 75% or something else? What would "1x cheaper" mean?
Is it just me, or are phrases like "3x cheaper" hard for other people to grok too? For some reason they always require me to pause and try to sort it out. Like, is the price being reduced by 66% or 75% or something else? What would "1x cheaper" mean?
Honest question: What does GPT-3 add to my tookbox as a developer?
I wrote about using it to explain code (and mathematical formulas and suchlike) a few weeks ago: https://simonwillison.net/2022/Jul/9/gpt-3-explain-code/
I've been experimenting with using it to build a human-language-to-SQL tool, so that people can ask questions of their data "what country had the highest GDP in 2019" and it will turn them into the correct SQL query, given a table schema. I'm still iterating on this but it's shown some very promising initial results.
I use it a lot when I need to get something small working in a language that I don't have day-to-day familiarity with. "Write a bash script that loops through every MOV file in this folder and extracts the audio as MP3" is a good example of that kind of prompt.
Riley Goodside on Twitter posts weird and interesting new things you can do with GPT-3 on a daily basis: https://twitter.com/goodside/ - his instructional template trick was on HN the other day, it's really clever: https://news.ycombinator.com/item?id=32532875
Any chance of this making GitHub copilot cheaper?
Does Copilot use GPT-3 directly? I haven't found resources on this, but sounds doubtful?