One of the most useful features of Maya is a long press that opens up a feedback form on whatever I’m looking at.
Submitting that form starts a remote Claude/codex session with all the context automatically.
It takes 10 seconds for Claude to get going. This has drastically improved the feature velocity and fixing even the tiniest of issues.
That’s what Patrick is referring to below.
I'm now building an "improvements" feature into all of my personal vibecoded applications: a freeform text input that's hooked up to an agent that yolo implements whatever is submitted.
It's an interesting experience -- the activation energy barrier to sanding any rough edge or implementing any new feature becomes extremely low. Someone else who uses one of the applications I created has already implemented 150 improvements over the course of a few days. This pattern feels like a new kind of tool -- liquid software? -- and every application that doesn't have this feature now has a slightly rigid and anachronistic flavor. Why can't I just tell it how I want it to be different?
Now, it's not obvious to me how this pattern can or should scale. Does it become unmaintainable after a while? (Maybe model intelligence improvement outstrips my feature appetite such that it's fine?) How does collaborative software work in this model? Can software designed this way be secure and reliable?
Whatever the larger questions about broader deployment, it definitely works great in a personal context. It reminds me a little of the visions of Lisp/Lisp machines, Smalltalk, and HyperCard -- systems that the user can take control of and modify. Those visions never quite worked, though: the vast majority of software today is not end-user modifiable in any useful way. So, while this "liquid" affordance is a very small touch, the way it changes one's relation to the software feels a bit transgressive and empowering in a Lickliderian and Engelbartian way.
coinbase just makes it a really hard company to keep rooting for
I was in a hurry and didn’t notice the default is instant (it wasn’t previously) and lost money
claude did a jon snow. it was dead. but came back as the king of the north.
unbelievable how good opus 5.5 is.
Opus 5.5 absolutely cooked.
Capability is the best i have seen so far, even better than fable.
Token efficiency is off the charts. Its also a very fast model.
ya very very impressed
claude is so so back
can someone explain how they got opus 5.5 to be this efficient & this good?
i’ve barely run into usage limits at all. it’s absolutely cooking on genuinely difficult problems with what feels like zero effort while somehow also consuming dramatically less of my quota than other frontier models??!
compared with astra or sol it’s night & day. the capability per token here feels kinda absurd, & this coming from anthropic where we didn’t see this barrage of usage limit resets or whatever.
we still cannot create a remote session from claude mobile
@trq212 why is this still not there? it’s a big hindrance. this has been a killer feature in codex mobile.
did a test run with jev
this is on synthetic data
now running a shadow test on real data
Jev is now available to everyone. No waitlist.
Start using it here: console.typesafe.ai
"using an OpenAI next-generation model significantly more capable than GPT-6 Astra"
We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics.
The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra.
The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
GPT-6 Astra is fantastic, but does seem like it consumes tokens fairly quickly compared to previous GPT models which are amazingly token efficient
















