this is an all-stock transaction. No cash spent.

and where is the Transformer library ;)

the GPU builds are very high stakes games of depreciation: if the mission life is e.g. 4 years you win, if a disrupting ASIC for the transformer comes in you lose.

As of today the gamblers seem to win, demand even for A100s, H100s is high prices are even rising.

this lacks the math for any bold claims

Did you read the paper? Is there something specifically you're missing? A proof? A theorem statement?

this is an empirical engineering paper with theoretical dressing, it would not need to be a theorem paper of course.

it would be really interesting when that moment was at probably OpenAI when they realized that this was doing more than next word prediction but signs of <you name it>

what could go wrong in the recursive loops running today 24/7 probably. Attended/unattended almost makes no difference any more, no human can grasp probably numerous changes per iteration. This is outright dangerous.

V being collinear is obvious, the question is/was also which additional orthogonal projections such as camera position for vision would improve the transformer.

the real interesting question would be if it then does its language-based reasoning also in short form and if so if quality is impacted.

it's not a new question if the as-is programming languages are optimal for LLMs: a language for LLM use would have to strongly typed. But that's about it for obvious requirements.

SIR_TONY_HOARE = μX • (think → create → give → X)

-- process ran from 1934 to 2026 -- terminated with SKIP -- no deadlock detected -- all assertions satisfied -- trace: ⟨ quicksort, hoare_logic, csp, monitors, -- dining_philosophers, knighthood, turing_award, -- billion_dollar_apology, structured_programming, -- unifying_theories, ... ⟩ -- trace length: ∞ The channel is closed. The process has terminated. The algebra endures.