OS models close the gap (via distillation) with frontier models, then get burned to chip, then offer commoditized inference via data farms or local plugins.
With thought loops this fast even if the models are less smart they can be self correcting to level them selves up.
You can't self-correct a model that's been burned to a chip. That seems like it'd be the main problem with ASIC AI, when everything's changing on a monthly basis, do you want to spend $x00 on a substandard model that'll be obsolete in 3 months, or wait 3 months?
aatd86•1h ago
bwestergard•1h ago
Wouldn't this just mean that hardware manufacturers capture the profits, not hyperscalers?
vablings•1h ago
u1hcw9nx•58m ago
Story tellers: Full self driving was commonplace already in 2020.