David Chase

🛠️ Self-taught builder and tinkerer, Algo Options Trader, Building bots w/ Raspberry Pis, Playing daily chess, and 3D printing with A1 mini

[David Chase @lazyeval]

@shreyas_vinaya @theo found another one https://t.co/jLmsQEZ1yY made by @adamludwin

[David Chase @lazyeval]

@ScriptedAlchemy I heard that was just better model and cheaper but fable competition later

[David Chase @lazyeval]

@cursor_ai Why work email though ?

[David Chase @lazyeval]

Would love to see @datacurve update deepswe with glm 5.2 to see if it really gets up there

[Alex Finn @AlexFinn]

I was wrong

I've been saying for months that open source AI models are 6 months behind frontier

They caught up. GLM 5.2 is as good as Opus 4.8

This changes everything. If you run GLM 5.2 locally no government can take it away. You become sovereign

And even if you run through APIs, its a fraction of the cost

The battlefield is different now. If open source is as good as frontier, and people have cheaper alternatives, governments can't be as quick to regulate. It will destroy the frontier AI labs

All of this is such a massive win for the people

If you are not paying attention to local models yet, you are making a tremendous mistake

[David Chase @lazyeval]

@RobinhoodApp When multi leg options ?

[David Chase @lazyeval]

This and AI models are going to drain my bank accounts really quickly 🤣

[Josh Pigford @Shpigford]

just found out about https://t.co/uf4s7ArWK8 and i'm absolutely livid that i now have a new hobby that i DO NOT HAVE TIME FOR.

[David Chase @lazyeval]

@Shpigford pretty fun just started to play

[David Chase @lazyeval]

This would be awesome 🤩

[Elon Musk @elonmusk]

AI will achieve Stockfish-level coding and generalized computer use

[David Chase @lazyeval]

@Shpigford I haven’t seen on openrouter so where ?

[David Chase @lazyeval]

@Shpigford Maybe get cursor models outside of cursor now ?

[David Chase @lazyeval]

@morganlinton @smallharness Wow that would be amazing I didn’t expect things to move so quickly

[David Chase @lazyeval]

@steipete zellij this is the way 🫡

[David Chase @lazyeval]

@skirano I’m guessing this the codex 20x for that many possible agents doing goals ?

[David Chase @lazyeval]

🤣

[Jay @jayair]

Introducing Opus 4.9 — 10% smarter, 2x more expensive

Definitely NOT Fable

[David Chase @lazyeval]

@ScriptedAlchemy

[David Chase @lazyeval]

@NetworkChuck Can you say more, local models need more focus to do what ? Provide frontier level reasoning or lighter to run on various hardware or what ?

[David Chase @lazyeval]

@AlexFinn Can you speak more to which model(s) are opus level that we can run on home GPUs ?

[Artificial Analysis @ArtificialAnlys]

We've updated the Artificial Analysis Coding Agent Index, replacing SWE-Bench Pro with Datacurve's DeepSWE benchmark - the swap lifts Codex with GPT-5.5 (xhigh) above Claude Code with Opus 4.8 (max), while the newly released Claude Fable 5 (max) in Claude Code debuts at the top

DeepSWE, built by @datacurve, writes its tasks from scratch rather than adapting them from public GitHub issues or pull requests, so no model has seen the solutions during training. That matters because SWE-Bench Pro, the benchmark it replaces in our Coding Agent Index, had grown gameable, with some models recovering the fix from the repository's commit history instead of solving the task.

The swap reorders the index: Codex with GPT-5.5 (xhigh) rises from 65 to 76, overtaking Claude Code with Opus 4.8 (max) at 73. Claude Code with Fable 5 (max), which enters directly on the refreshed index, leads at 77. SWE-Bench Pro had been flattering some combinations and penalizing others.

More below.