←back to thread

Microsoft and OpenAI's close partnership shows signs of fraying

(www.nytimes.com)
321 points jhunter1016 | 3 comments | 18 Oct 24 11:11 UTC | HN request time: 0s | source
Show context
Roark66 ◴[18 Oct 24 12:02 UTC] No.41878594[source]▶
>OpenAI plans to loose $5 billion this year

Let that sink in for anyone that has incorporated Chatgpt in their work routines to the point their normal skills start to atrophy. Imagine in 2 years time OpenAI goes bust and MS gets all the IP. Now you can't really do your work without ChatGPT, but it cost has been brought up to how much it really costs to run. Maybe $2k per month per person? And you get about 1h of use per day for the money too...

I've been saying for ages, being a luditite and abstaining from using AI is not the answer (no one is tiling the fields with oxen anymore either). But it is crucial to at the very least retain 50% of capability hosted models like Chatgpt offer locally.

replies(20): >>41878631 #>>41878635 #>>41878683 #>>41878699 #>>41878717 #>>41878719 #>>41878725 #>>41878727 #>>41878813 #>>41878824 #>>41878984 #>>41880860 #>>41880934 #>>41881556 #>>41881938 #>>41882059 #>>41883046 #>>41883088 #>>41883171 #>>41885425 #
switch007 ◴[18 Oct 24 12:08 UTC] No.41878631[source]▶
$2k is way way cheaper than a junior developer which, if I had to guess their thinking, is who the Thought Leaders think it'll replace.

Our Thought Leaders think like that at least. They also pretty much told us to use AI or get fired

replies(5): >>41879067 #>>41880494 #>>41880811 #>>41882314 #>>41901613 #
srockets ◴[18 Oct 24 16:16 UTC] No.41880811[source]▶
I found those tools to resemble an intern: they can do some tasks pretty well, when explained just right, but others you'd spend more time guiding than it would have taken you to do it yourself.

And rarely can you or the model/intern can tell ahead of time which tasks are in each of those categories.

The difference is, interns grow and become useful in months: the current rate of improvements in those tools isn't even close to that of most interns.

replies(1): >>41881119 #
luckydata ◴[18 Oct 24 16:43 UTC] No.41881119[source]▶
I have a slightly different view. IMHO LLMs are excellent rubber ducks or pair programmers. The rate at which I can try ideas and get them back is much higher than what I would be doing by myself. It gets me unstuck in places where I might have spent the best part of a day in the past.
replies(1): >>41881162 #
1. srockets ◴[18 Oct 24 16:47 UTC] No.41881162[source]▶
My experience differs: if at all, they get me unstuck by trying to shove bad ideas, which allows me to realize "oh, that's bad, let's not do that". But it's also extremely frustrating, because a stream of bad ideas from a human has some hope they'll learn, but here I know I'll get the same BS, only with an annoying and inhumane apology boilerplate.
replies(1): >>41882159 #
2. Kiro ◴[18 Oct 24 18:33 UTC] No.41882159[source]▶
Not my experience at all. What kind of code are you using it for?
replies(1): >>41901618 #
3. guappa ◴[21 Oct 24 07:35 UTC] No.41901618[source]▶
Not everyone does CRUD applications.