dnnehgf

4 ms·

31.
by dnnehgf 3mo ago
yeah my read is that this industry was for a long time underlevered; these companies were generating so much cash that the only meaningful candidates for investment were in effect moonshots with highly unpredictable returns, and you can&#x2
32.
by dnnehgf 3mo ago
quick you are a saas company pulling 3b cash annually how do you deploy it
33.
by dnnehgf 3mo ago
i imagine if i were a mathematician i too would be sublimating my existential crisis into a taxonomy of apocalypses, right about now.
34.
by dnnehgf 3mo ago
it's interesting to watch a bunch of iq-worshipping rationalists learn in real time that above some threshold greater intelligence does not matter much to people, except insofar as it allows them to spend less time doing the thing they
35.
by dnnehgf 3mo ago
good list. if you were to send me an article containing a new one of these each day, with citations, i would pay you $1 per day. but if you were to send me an article containing a new one of these each day, with citations, plus a bunch of e
36.
by dnnehgf 3mo ago
ai marketing slop, running the old financial playbook of burying a simple, undecidable thesis beneath so many layers of inflated numbers and opaque jargon that you cannot understand their plan without first getting the vague impression that
37.
by dnnehgf 4mo ago
that's a large number
38.
by dnnehgf 5mo ago
lfg lads. throw that weight
39.
by dnnehgf 5mo ago
figures 10 and 11 in the paper are interesting. i suppose at a high level this works because it is much easier for the evaluator to generate tests with fuzzing than it is for the model to probe. this method somehow clarifies the way in whic
40.
by dnnehgf 6mo ago
satoshi: https://bitcointalk.org/index.php?action=profile;u=3;sa=show... adam back: https://bitcointalk.org/index.php?action=profile;u=101601;sa... page through each of those profiles and search for the fo