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Typesafe-computer-use drives a Mac toward a goal for 1/50th of a cent per step

82 points · 60 comments · rahimnathwani

jimmySixDOF · 1789801081 · focus · HN ↗
not sure how this is innovative they show the System-1 model can play Doom right in the announcement [1] :
>Doom >We love how this doomo doomonstrates real-time intelligence and what can be doone with code + AI. The engineer behind it was worried about making 10 queries a second (which ends up costing ~$7/hour), but the rest of us agreed that was lower than expected! This is so fun we intend to not only release an in-depth walkthrough, but also host some events to hack on this.
[1] <a href="https://typesafe.ai/blog/introducing-system-one-models-and-jev" rel="nofollow">https://typesafe.ai/blog/introducing-system-one-models-and-j...
1. orbital-decay · 1789802334 · focus · HN ↗
  Well nothing about the Doom demo or this entire model is new new either, is it? I don't even think Typesafe themselves are claiming anything novel, they say that they're focusing on practicality instead of chasing big numbers and AGI. Classifiers are older than generative models and are used everywhere. Fast classifiers are used in sampling machinery of every big model and for automation in agentic game plugins for years, except they're usually small and finetuned for the task, not general-use.
  I think many people wondered why non-generative models are so underused on a big scale, well here's a long overdue attempt to market that which evidently goes well with people being interested in this again. The field has been captured by the vibe coding and valuation-goes-up hype and a bit. AI has a ton of low hanging fruits that are much more practical than using one tool that gets most attention for everything.
  1. altmanaltman · 1789805019 · focus · HN ↗
    So it's kind of like AI hype growing up and rediscovering its roots because the future isn't futuring soon enough.
    TeMPOraL · 1789823530 · focus · HN ↗
    No, it's just AI growing so fast in every direction that people don't have time to pick up low-hanging fruits along the way. This is also a prime argument for why AI is not a bubble or dead-end: even if LLMs plateaued today, there's enough of those low-hanging fruits to power a good decade of growth and R&D.

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