Does anyone else feel like the writing is on the wall for a future of local models? Spamming data centres everywhere, powering them, having to commit insane capital to hardware, all the effort to serve inference over a network reliably - when here we are with a frontier model nearly running on a laptop.
Local AI on your device seems like a much more likely future to me than datacenters in space. For inference at least, training is another story.
Ok in terms of running a 2.8T parameter model, that's true.
Looking more broadly though, a model I can run on my laptop (Gemma 4) is ~4 points away from GPT-5.3 codex or Sonnet 4.5 on arena.ai LLM leaderboard. Those models were SOTA less than a year ago.
And the leaderboard has Opus 4.8 thinking +2 points away from Gemini 3.6 flash. Try to use Gemini flash in an agentic coding harness and see what comes out.
Local AI on your device seems like a much more likely future to me than datacenters in space. For inference at least, training is another story.