Seems like openAI spent ~7B on inference in first half of the year. Their revenue was 4B in the same time. They spent another 5B on rnd to deprecate their own, and rest of industry's assets.

Location: Ahmedabad, India Willing to relocate: yes Email: maneksameer1@gmail.com Technologies: C / C++, Golang, Javascript, Php, Python, sql, nosql and more

Started as a game programmer in 2019 then graphics and now web. I love working for startups. Can adapt to new tech stacks quickly and a good team player.

That is for a governing body to look out for. NOT private companies. Governments have a job to run massive programs for socioeconomic welfare without carrying about profit.

Someone has to do it. Big pharma has a lot of money and if AI can reduce their costs in human resources, they will be willing to put some of their profits aside to further the research in AI space.

Money wells are drying up across the trch Industry and ai companies will have to look for funds from adjacent industries like biotech and medicine.

Did anyone else notice that the base storage has been upgraded to 512G? I knew this was coming after iPhone 17s storage upgrade!

512GB was the base storage of the M4 also.

https://web.archive.org/web/20251010205008/https://www.apple...

It was 256 GB on the first M4s

Looks like the base storage on the iPad Pro is still 256 GB.

This is the Macbook Pro, not the Macbook Air.

I often wonder, what if the AGI responds with "idk man, your situation seems pretty messed up". It will be comical

Whats the point? These models are still unreliable in every day work. And they're getting fat! For a moment, they were getting cheaper, but now they are only getting bigger and this is not going to be cheap in the future. The point is, what are we investing a trillion dollars in?

Unreliable doesn't mean unusable. I'm finding it harder and harder to believe people are actually trying to use them and saying they are useless.

If you can chop your problem up and give little tedious parts of your bigger task it's starting like doing code review for a new grad instead of coding. And they're getting more reliable and the parts you give it can be bigger and bigger. I wish there was a way to stop this but I don't think it's going to.

/> The point is, what are THEY investing a trillion dollars in?

Who cares? I won't be a customer until I see a return on my investment [in them].

I mean, progress is already getting slow in llm development space and their qwen models are, well, good enough for time being. Meanwhile, its good for the world that they are working on their own chips, that way nVidia will have to stop being comfortable.

This is step in good direction for everyone except nvidia and its chinese distribution network

Its like sharingan patterns