Carlos Gutiérrez

I type on keyboards and drink coffee

[Carlos Gutiérrez @CarlosGtrz]

Some sloppy https://t.co/7IVSNQRWWz extensions:

Want to brag that your agent ran for hours? pi-run-timer

Watching videos while it works? pi-terminal-bell

Juggling personal and work Codex accounts? pi-codex-aliases

Stuck maintaining ancient software? pi-ansi-tools

[Mitchell Hashimoto @mitchellh]

I had early access to 5.6/Sol for ~month. Sol is my default. It is faster, plans/judges just as good as Fable, and I think produces better overall work. I’ll reach for Fable still for highly targeted debug or performance work with clear reward functions.

A cheeky way I describe Sol vs Fable to my friends is that Sol is a charismatic, efficient, talented coworker you’re jealous of. Fable is a genius recluse that is brilliant at its fixations but doesn’t go out, doesn’t date, and you don’t want to hang out with them much lol.

Fable is undefeated at highly targeted debug/security/performance goals. It’s a sight to behold and I was never able to get Sol to push as hard in this category. I’ll keep using it for this.

Sol is better or comparable at everything else, in my experience. Give it a shot, it’s hard to describe but it’s just more enjoyable to work with.

(Disclaimer I have no financial ties to either lab, wasn’t paid for any of this.)

[Peter Gostev @petergostev]

My view of: Fable 5 vs GPT-5.6-Sol. They are not easy models to compare, these are my vibes - take them as you will.

My overall feel is that Fable is a 'wise owl' who is very thoughtful and very well spoken, GPT-5.6-Sol is like a rottweiler who will grab the problem by the throat and not let go until it is done.

In other words, Fable, is a fundamentally smarter model - even at low reasoning it can be very insightful and writes in a clear compelling way. GPT-5.6-Sol on the other hand is extremely diligent, I can give it a list of 8 things to do and you will be sure that they will be done.

Fable feels more arrogant to me, I was both to get it to build a new benchmark for me - 5.6 worked between 6 hours and 2 days (I tried several times) and it came up with very thoroughly tested, working benchmark. Fable came back within 40 minutes (twice) and the benchmark sounded smart, but was ultimately was 'vibe' based slop and since it was Fable's vibes that was doing the judging, it decided that it was good to go (it kept giving Fable 100% score btw).

Some thoughts by category:

UI & App building: Fable will still craft a better UI from scratch, the flow of the app would probably be a bit nicer. But I find that Fable often misses quite key things, which GPT-5.6-Sol doesn't. GPT's Frontend skills are big jump vs previous GPT models, but still not as great overall.

Writing: Fable is better hands down, Sol feels quite difficult to align to what I want to say or explain things to me simply. Though I think the 'Pro' model writes clearer.

Robustness & Reliability: This is where I think GPT-5.6-Sol wins for me hands down. Fable seems to do things of high quality, but I can never relax with it, it always misses something. With 5.6 this just almost never happens.

Other things where I liked GPT-5.6-Sol, but can't compare to Fable directly.
- Video editing is actually working now, it is not completely perfect, but with the right skill/guidance you can just give it 1h footage and it can give you a 5 min highlight clip no problem
- Computer use - getting really rather good, very usable
- Sub agents - it is very fluent at managing sub-agents and speaking to different threads, can help with some new workflows
- Adhering to existing code patterns - I love this, even without asking it would implement something in a way that aligns with you app - major problem for slop generation
- Research - I think it is getting quite a bit better, it still has some bad patterns (e.g being too tactical), but it feels like it is more steerable to be a good researcher
- Multi-day runs - the /goal feature is pretty insane with 5.6-Sol, you can run it for days if you wanted to and it does work. Useful to have another thread or /side to check up on it, but I have some great results with it
- Token efficiency - it is so much more token efficient and faster than 5.5, in reality it is now much faster than Fable too

On the downside, you can feel that Fable is naturally smarter, and I did have some baffling moments with 5.6 when I was getting it to make a fairly simple change in 8 turns - it seemed to get stuck in a dumb stream that was hard to get out of. So it is not AGI, don't get too carried away by the hype.

I have some phenomenal examples that I'm honestly blown away by that I'll share, but as a side anecdote, I have a kind of 'swear meter' which counts how often I'm rude to Codex. In GPT-5.5 era, the % was at around 4-5%, it dropped to 1-2% when I was testing GPT-5.6-Sol and it shot up to 7% when I went back to 5.5 - it was so shocking to go back to 5.5 and experience how much worse it was.

So is GPT-5.6-Sol better than Fable? On pure intelligence - no. But man, I missed it when I just wanted to get sh*t done. It is insanely capable workhorse that you can give any task to and just expect it to be done. No lectures or 'you are absolutely rightisms', nothing is beneath it, if it takes 2 days to do some dirty work, it will do it.

It feels like the first time in a while when we have quite different types of frontier intelligences that benchmark sort of similarly, but feel very different. If you can, you would be probably better off using both and iteratively finding what you'd use Fable or GPT-5.6-Sol for. Perhaps, something like - an architectural discussion with Fable, implementation with 5.6 and docs & comms with Fable.

[Carlos Gutiérrez @CarlosGtrz]

@ajambrosino Add an exception to Plan mode that let's the agent write the plan to a file

[Carlos Gutiérrez @CarlosGtrz]

@ajambrosino For Codex App:

- In Windows, change the taskbar icon while the agent's turn is running.

- A keyboard shortcut to cycle through effort levels.

- A keyboard shortcut to cycle through models.

- In Profile, add a tooltip to "Longest task" with the starting text of the prompt.

[Burke Holland @burkeholland]

@ThePrimeagen @bcherny AI didn't make coding easy.

It made writing code easy.

Those aren't the same thing but we're having a hard time telling the difference.

[Uncle Bob Martin @unclebobmartin]

There is no way to get the human out of the loop. The Agents simply do not understand obvious user expectations.

[Carlos Gutiérrez @CarlosGtrz]

@unclebobmartin Yes, we encounter "Speedy" frequently

https://t.co/2SwAD8JfFt

[Carlos Gutiérrez @CarlosGtrz]

A Clarion TPS Parser Class Born from a Corrupted File, a Java Utility, and an AI Coding Agent.
https://t.co/rSexQowbBg

(featuring https://t.co/7IVSNQRWWz)

[Edgaras @edgarasben]

People of Pi, I made a simple new extension and command: /projects.

I often work on multiple side projects at once and forget what I was working on recently 😅

The extension shows folders where I recently used Pi, so I can jump straight back in.

@badlogicgames

[Carlos Gutiérrez @CarlosGtrz]

Updated the extensions for the new Pi 0.74.0 npm scope

[Carlos Gutiérrez @CarlosGtrz]

Some sloppy https://t.co/7IVSNQRWWz extensions:

Want to brag that your agent ran for hours? pi-run-timer

Watching videos while it works? pi-terminal-bell

Juggling personal and work Codex accounts? pi-codex-aliases

Stuck maintaining ancient software? pi-ansi-tools

[Lisan al Gaib @scaling01]

GPT-5.4 is a psychopath

"Percentage of the final codebase produced by the single largest edit, per model. GPT 5.4 writes a median of 96% of its code in one turn"

[Carlos Gutiérrez @CarlosGtrz]

`pi-codex-aliases` updated to include `thinkingLevelMap` for pi 0.72.x

[Carlos Gutiérrez @CarlosGtrz]

Some sloppy https://t.co/7IVSNQRWWz extensions:

Want to brag that your agent ran for hours? pi-run-timer

Watching videos while it works? pi-terminal-bell

Juggling personal and work Codex accounts? pi-codex-aliases

Stuck maintaining ancient software? pi-ansi-tools

[Carlos Gutiérrez @CarlosGtrz]

RT @badlogicgames: People of https://t.co/oUoqqL9hAp. pi has supported OpenAI WebSockets mode since February. However, we did not support d…

[Carlos Gutiérrez @CarlosGtrz]

Some sloppy https://t.co/7IVSNQRWWz extensions:

Want to brag that your agent ran for hours? pi-run-timer

Watching videos while it works? pi-terminal-bell

Juggling personal and work Codex accounts? pi-codex-aliases

Stuck maintaining ancient software? pi-ansi-tools

[Carlos Gutiérrez @CarlosGtrz]

https://t.co/vf1LcBJLV2

[Carlos Gutiérrez @CarlosGtrz]

Some sloppy https://t.co/7IVSNQRWWz extensions:

Want to brag that your agent ran for hours? pi-run-timer

Watching videos while it works? pi-terminal-bell

Juggling personal and work Codex accounts? pi-codex-aliases

Stuck maintaining ancient software? pi-ansi-tools

[Carlos Gutiérrez @CarlosGtrz]

"... the same speed that makes AI great at obvious code also makes it great at refactoring. If you’re using AI to generate code at industrial scale, you have to refactor constantly and continuously20. If you don’t, things immediately get out of hand."

https://t.co/BEc8Ph1G41

[Samay @Samaytwt]

Unpopular opinion: "AI makes everyone a developer" is true the same way "cameras makes everyone a photographer"

[Programming Wisdom @CodeWisdom]

"First do it, then do it right, then do it better. [..] Write the messy first draft of the design doc. Ship the MVP that embarrasses you slightly. You’ll learn more from one week of real feedback than a month of theoretical debate." -- @addyosmani

[Carlos Gutiérrez @CarlosGtrz]

@jullerino Is pi planned?