hi @theo some UI frictions in t3 code for me. t3 code seems to have a lot of multi function ui elements which makes it quite difficult to quickly parse and build muscle memory (esp where hotkeys aren't available). for example the search bar is also used to name a project here.
this is so useful. had a mod running to do exactly this (and some more stuff). @amorriscode does this work with the desktop app as well? claude says it doesn't.
Auto-continue is huge! Anyone else would like if there was an option for the session to auto-compact right before reaching the usage limits and then auto-continuing when done in @t3dotcodes?
People who are complaining about ChatGPT work. Do not understand that no one outside of our circle understands what an agent is, and they do not care.
wait do people really think that anthropic employees who are non-u.s. citizen will be locked out of mythos? so many things they could do:
- newer checkpoint
- maybe they have a larger model
- or any other internal version
basically infinite ways to get around it.
Wake up guys another eval dropped.
As an aside, I like evals which disagree with the popular narrative.
The madmen did it. Holy grail of agent eval!
Introducing Agent Arena: real-world agentic evals at scale.
How do you evaluate agents doing actual work? We measure millions of live sessions where real users accomplish real tasks.
On Arena, models now get web search, filesystem, and terminal tools to complete complex workflows: writing code, creating slide deck, researching the web, building apps, and analyzing documents.
Every session produces rich signals. Users iterate with the agent turn-by-turn: approving, editing, correcting, praise or expressing frustration. The environment gives feedback too: shell errors, tool failures, recovery attempts, and more.
Our leaderboard measures each model's agentic performance using causal inference across five signals: task success, steerability, error recovery, user praise vs. complaint, and tool hallucination.
This leaderboard snapshot is built from 300K+ tasks, 2M+ tool calls, and 40M lines of code by agents.
Top labs in Agent Arena:
- #1 @OpenAI: GPT-5.5 (High)
- #2 @AnthropicAI: Claude-Opus-4.7 (Thinking)
- #3 @Zai_org: GLM-5.1
- #4 @GoogleDeepMind: Gemini-3.1-Pro
- #5 @Kimi_Moonshot: Kimi-K2.6
More analysis in the thread, with the full technical blog below.
you know the worst part about the claude code changes?
there is now no gui support for linux to use with the sub
what is up with everyone on x and ruining a decent take by exaggerating everything up to fucking heavens
new reverse engineering post when @she_llac ???
Seen a decent amount of people saying how good Cursor's Harness and product is these days, and complaining about how expensive it gets without the OpenAI and Anthropic subsidies.
Composer 2 could be a game changer if these gains hold up in real life.
cursor.com/blog/composer-2















