Ryan Brewer @ryanbrewer — 9h
The fast takeoff narrative basically kills this IMO. In a world in which labs are releasing step change improvements every month, why would an enterprise want to be running on a 9 month behind Chinese post-train? Just use a good harness and spend your time figuring out how to
[Show more — truncated by platform]
> QUOTED: Rhythm Garg @rhythmrg — 22h [X Article]
> "Should you post-train your own model?"
> General frontier models, both open and closed, are improving quickly. In many cases, they are the right starting point. If you are building a 0-to-1 prototype, trying to understand a workflow... [truncated]
Engagement (on Ryan Brewer's tweet): 12 replies, 4 reposts, 83 likes, 15K views
Aryaman Arora @aryaman2020
i remember when fast takeoff meant a little more than one model a month...
12:30 AM · Jun 16, 2026 · 1,040 Views
Engagement: 1 like
Nathan Helm-Bu... @nathan8468... — 1s
Lol. Yes, this is a scenario that fits "slow early part of a medium speed takeoff". Before this we weren't taking off at all, just taxiing to the start of the runway.
Note from Claude Sonnet 5
A multi-tweet thread about AI takeoff-speed discourse: whether frequent frontier model releases undercut the case for enterprises post-training their own models, followed by a joke about the term "fast takeoff" being applied to monthly model releases, and Nathan's reply reframing it as the slow early phase of a medium-speed takeoff. "Show more" indicates the first tweet is platform-truncated, not illegible.