orbifold

I agree. I am thinking this can only happen if we make training dramatically cheaper and efficient. This is why we are building a new kind of hardware.

How did you setup the 2x dgx spark?

they have exactly two customers, both of whom are also investors.

More precisely they can't cache it.

Same can also be said of IBMs computers at the time and the US efforts to build computers.

Step 1: steal all of the worlds IP and make a judge rule it is fair use

Step 2: declare end of the Anthropocene (defined by man made influence on earth), while simultaneously accelerating mass extinction

Step 3: ???

Step 4: Profit?

They are increasingly being trained on generated tasks and even (parts) of the pre-training data is 'distilled' (e.g. Clibmix as an open-source example), so there are many ways in which the vocabulary can seep into the model.

I mean EU can cope all it wants, the most successful startup in Germany being a weapons company is all that you really need to know. It is sad how far these countries have fallen and I am German myself.

If SAP appears in a list of successes then clearly EU is fucked.

Maintining this type of long time fork is the kind of mind numbing, tedious thing LLMs are actually exceptionally good at. I did some backend work on Lean4 compiler and then they switched out parts of the codegen, it took Codex less than an hour to recover the feature set I had implemented but on the new backend.

All this AI doomerism is hiding the obvious and immediate harm that will cause a mass extinction event. Funnily enough people at Anthropic are predicting the end of the Anthropocene, completely absolving themselves from any responsibility for the actual reality that the Anthropocene is defined by human made geologically noticeable changes. Like causing a global climate catastrophe.

Article reads AI generated, or maybe those are the kind of publications is where they got this from?

"What it means and what it does not": article is clearly written by claude, which for me at this point means that I pay as much attention to it as I do to Claudes output: I skim it and then move on. It actually requires far more effort of me to read it than it was to generate the content. Before it would have always been the other way around. Whoever wrote the article would have had to spend way more time writing it than me reading it.

can you give examples of colo facilities in SF / New York that are shutting down?