I built non-autoregressive decision models with RL a year ago
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Unofficial Hacker News client; not affiliated with Y Combinator.
I built non-autoregressive decision models with RL a year ago
Unofficial Hacker News client; not affiliated with Y Combinator.
hmokiguess · · focus · HN ↗
Classical machine learning has been, for the most part, and just by the nature of science, behind academic terms and difficult to engage with as a product.
Jev did really well with coining up “System One” models and defining a standard application interface plus core primitives that landed in the current paradigm of software development.
I think it’s sort of like how Cursor reinvented autocomplete back then as a different UX and suddenly everyone was just using it because of how easy the bar was to understanding it.
Lastly, timing is everything. Just as Cursor had a first mover advantage, despite ML Ops being a thing for a while, they managed to encapsulate the concept behind a “System One” black box that fits the existing mental model for building software and shipping a data contract in the right point in time where the cost of tokens has been an important metric to watch.
sigbottle · · focus · HN ↗
No matter how much we pretend, that's how a lot of abstractions work. Things that touch the real world can change; there's a risk that the change could be as something as simple as a bugfix to changing the underlying implementation but preserving a higher level goal; you generally want a human in the loop to make sure the semantics work out and everybody's agreeing.
hmokiguess · · focus · HN ↗
The relationship aspect of a business has a lot to do with how effective it is at continuing to justify its core value in an easy and relatable way; especially so when the decision makers that front the bill may not be as engaged with the underlying machinery behind the why it works how it does.