3,907 karma · joined November 12, 2013
These days, I don’t know. Certainly an instrument of a particular party. Plus, owned by various special interest groups beyond that.
Does synthetic data count? What about making several more passes through already available data?
You can't have it both ways: you can't be telling us that AI will force people of of jobs and we will need UBI, while decrying reduction in population.
Apparently, many people listen.
But MacOS always gets it right: in any browser, the websites look “juicy” for the lack of a better word, and pleasant to look at.
Why can’t Linux fix this and render closer to MacOS?
Hopefully, without all the other “value added” stuff.
He is signing the code with his name when code is pushed.
How is it different from using every other dev tool?
On the server with no UI, Linux is the only way to fly.
I was sort of using this ad hoc before: asking Claude implementation questions after the coding was done. But these styles can take it to next level.
It's still cheaper than Sonnet, but certainly not by 10x. Sonnet, arguably, is still better than GPT-5, although not by much and not in all circumstances.
I read analysis that GPT-5 is better at debugging (super important) and following exact instructions (many people don't quite know what they are asking for anyway, so this could be counter-productive in many cases).
So no, OpenAI did not burn the boats...
(Ok, this is for coding only. I have no information on other uses.)
Larry Ellison said it best a few months ago: "AI will keep you on your best behavior"[1].
[1] Meeting with Sam Altman, President Trump, and Masayoshi Son, announcing $500 million infrastructure deal.
1. Protecting their intellectual property, and
2. Unknown “safety” constraints baked in. Imagine an engineer unable to ran some security tests because LLM thinks it’s “unsafe”. Meanwhile, VP of Sales is on the line with the customer.
In a year or so, the open source models will become good enough (in both quality and speed) to run locally.
Arguably, OpenAI OSS 120B is already good enough, in both quality and speed, to run on Mac Studio.
Then $10k, amortized over 3 years, will be enough to run code LLMs 24/7.
I hope that’s the future.
It absolutely boggles my mind how anybody thinks that this is Ok?
Unless you are in North Korea, of course.
Any support for this assertion?