Current marginal cost is certainly negative.

The expectation is that development costs will get cheaper (model design solidifies), Training costs will get cheaper (no need to retrain the whole model) and running costs will get cheaper (datacenter economies of scale).

All this is still true.

OpenAI, anthropic, Google etc. will generate excessive by being able to charge more than cost because their models are vastly superior.

Is likely to be false.

EA is up 2% over a month. The stock market is full of idiots.

Ice (in shops, in hotels, in restaurants, in vending machines, in gas stations… everywhere) and ice cold air conditioning.

CIA funded Al qaeda.

That’s why the cold was was so good for the MIC. Constant threat.

It’s a bad math degree that doesn’t cover group theory.

Not a cunning mathematician. There could be many unnoticed medical incidents. They should have said “at least 2”.

Dick portraiture must be a profession, or at the very least a hobby.

Just make sure you return the condom using the reusable items dropbox.

Different countries get new programs at different times. There is room for error.

Are you saying that this is a specially designed flute players helmet?

If playing a flute were just about blowing air then I’d be agreeing with you. But a flute needs lips. Is the player forcing some super extending lips through a hole in the helmet?

(How can i draw this illustration? )

Initially maybe. Long term, money has to be returned.

You are correct. OpenAI etc. valuations are based on the difference between revenue and cost. The key part is that open source breaks the monopoly. It stops excessive rent being charged (now or in the future) to use Ai models.

Tech giants will still exist, but closed model advantages won’t.

Why months, not quarters or years?

Metalhead is another non sexual classic.

so sick

I wish you had chosen a different word to express excitement.

unlike most conventional film projectors, the film runs horizontally so that the image width can be greater than the width of the film stock.

Nolan could have filmed in any ratio he wanted. Choosing 4:3 is not a technical constraint. He basically chose the opposite of cinemascope.

The irony is that the original OpenAI thesis was correct. Use a datacenter to generate a frontier model, then distribute that AI openly.

Full Movie if you want to join the discussion.

Definitely a metaphor.

The money being spent to build data centers, buy equipment and electricity is real. The fact that openAI owe softbank $40bn is real.

The future returns from these present day expenditures are imaginary. Whether softbank get their loan back is speculative. Equity raises are even more so.