appvoid retweetledi
appvoid
3.2K posts
@yacineMTB They first started finetuning for geeks and bussineses with gpt 3, with gpt 4, they tried to finetune for AGI and failed at so, with gpt 5 they just straight tried to make a better model overall but with the latest finetunes they are redirecting models toward code and science
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Not only did they remove the 5-hour limit, but my rates were completely reset again.
OpenAI is doing incredibly good community work right now. Kudos. Absolutely outstanding community work.
Tibo@thsottiaux
Morning. The last 48 hours of Codex and ChatGPT Work have been intense! Three important updates: - Temporarily removing the 5 hour usage limit restriction for all Plus, Business and Pro plans - Rolling out changes that will make GPT 5.6 Sol more efficient across the board and that will be reflected in less usage being used so that it can take you further. Exact impact to be quantified and shared - We hit 6M active users, and are landing a usage reset in the next hour Go do things
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@thsottiaux What if I never got the banked reset at all? Got the general reset everyone had but not a banked one yet.
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Added a banked reset to 500k users of ChatGPT Work and Codex.
What’s been happening:
- Just released the ability to use a banked reset from web and mobile. Before today you could only do it in the desktop app
- Had an issue where less than 10% of users who used a banked reset and it didn’t actually reset. This was during a 2 hour window.
- It was hard to find all the exact users where it didn’t apply, so instead granted a banked reset to everyone who pressed the reset button in that 2 hour window. This also gives us the opportunity to validate the new infra ahead of tomorrow
Tomorrow we will celebrate our 7M active users milestone and grant the first banked reset across all of our ChatGPT Work and Codex users.
We will also release a bunch of updates to the desktop app, addressing a ton of your feedback.
Talk soon
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@kimmonismus I start to fear accidentally burning all weekly limits accidentally in a few hours
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@thsottiaux I already burnt through the whole week in a few hours, jeez
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Morning. The last 48 hours of Codex and ChatGPT Work have been intense! Three important updates:
- Temporarily removing the 5 hour usage limit restriction for all Plus, Business and Pro plans
- Rolling out changes that will make GPT 5.6 Sol more efficient across the board and that will be reflected in less usage being used so that it can take you further. Exact impact to be quantified and shared
- We hit 6M active users, and are landing a usage reset in the next hour
Go do things
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i'd love to see interesting things people have built with 5.6 sol.
i will send the person who made the coolest thing a special gift from the openai archives.
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Imagine teaching a dog to stop on a mat. The mat is the "stop token".
If the dog misses the mat, it keeps taking the last step it learned because stopping was only rewarded on the mat. That repeated step is doom looping.
Once solved, reasoning models make sense at small scale.
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For agentic coding, one can say:
- Unless you need Terra Ultra perf, it's always better to use a Luna model with higher effort setting (same or better performance but cheaper).
- Forget everything below Sol High, use Luna with higher effort settings here
- Forget Sol Extra High, use Terra Ultra here
- The extra cost of Sol Ultra is probably not worth it over Max
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We are at @icmlconf 2026 in Seoul. Booth B116.
We're hiring globally, including post-training and applied ML roles in our Tokyo office. Stop by our booth to talk!
私たちはICML 2026（ソウル）のブースB116に出展しています。
世界中で採用を行っており、東京オフィスではポストトレーニングおよび応用機械学習（Applied ML）のポジションも募集しています。ぜひブースにお立ち寄りいただき、お気軽にお話ししましょう！
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this company is single-handely making sure we have small high quality models for edge computing
Liquid AI@liquidai
Today we release Antidoom, an open-source method that removes a common failure mode in reasoning models: the doom loop. Doom-loop rates before and after, with eval scores up across the board: > Early LFM2.5-2.6B checkpoint: 10.2% → 1.4% > Qwen3.5-4B: 22.9% → 1% (greedy sampling) 🧵
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