u/SatoshiNotMe

What prompt processing speed (especially at > 100K tokens context) and token-gen speed are you getting?

Why is GitHub MCP better than the gh CLI which works perfectly fine?

Pro vs ultra - curious what is everyone’s mental model of the difference.

my understanding is that ChatGPT Pro is effectively a multi agent system, or somehow uses multiple LLMs in parallel and selects a best answer. And Ultra is more similar to Claude-Code UltraCode where the main agent can choose to create a dynamic JS workflow that deterministically orchestrates multiple agents to handle different parts of a task and have adversarial checkers etc.

Is that more or less the difference, as far as people can tell?

Not mine

https://github.com/anthropics/claude-code/issues/78610

If it walks like a duck and quacks like a duck, then doggonit it IS a duck.

On that note I have 2 questions -

Is there a seamless way to port over Claude sessions to codex?

Does codex have the equivalent of dynamic workflows (ultracode), where Claude generates JavaScript to orchestrates sub agents?

Very interesting in trying this. Related — I made a simple Socratic Quiz skill where Claude quizzes me repeatedly until I build a deep understanding:

https://pchalasani.github.io/claude-code-tools/plugins-detail/workflow/#socratic-quiz

Then why don’t they call it GPT 6 ?

Why not have Claude use the codex headless CLI, I.e “codex exec …”?

The assumption is it would search the previous chat rather than read the whole thing. We could also include an instruction to this effect alongside the back pointers.

How does this compare to the plethora of memory/context solutions out there ?

Neat. Kyutai’s Pocket TTS is my current favorite small (100M) TTS model.

https://github.com/kyutai-labs/pocket-tts

I especially like how it’s packaged as a CLI. Maybe something to consider for yours.

Sounds like BS - how do you "blow past budgets" on a claude max plan?

Is this true? If so it’s probably the most important news is the day and other random crap gets more engagement.

You have the right instinct

I got both as a trial and after seeing the FB Air’s horrendous app (really tried to like it but shocked that Google fumbled so badly) I decided Whoop won.

I don’t get it — aren’t they using the Claude max subs ?

curl -fsSL https://claude.ai/install.sh | bash -s 2.1.153

seems to get rid of that thinking block error for me.

Of course this means you'd use opus 4.7 not 4.8 (or switch to that if 4.8 borks )

yes, downgrading to 2.1.153 avoids this

No it’s not just for text. You can definitely set up Langroid agents to generate code. Some time ago I made a rust tutor (not open source) using Langroid that quizzes about Rust and generates/tests rust code.

Not sure why this post makes it sound like session JSONL logs are a big discovery.

Relatedly, I made an extensive set of tools for session search and continuation as part of my Claude-code-tools suite:

https://pchalasani.github.io/claude-code-tools/tools/aichat/

Sessions are indexed using Tantivy (Rust), and there’s a search CLI for the code agent to easily and quickly retrieve past work. Saved me on numerous occasions.

I would skip ollama and directly use llama.cpp/server, for a variety of reasons (see ollama critiques all over localLLAMA sub). I maintain a set of setup instructions on using CC and Codex-CLI with local models here:

https://pchalasani.github.io/claude-code-tools/integrations/local-llms/