Sam L
562 posts

Sam L
@samelldev
building KruxOS - the Linux distro built for AI agents.
Katılım Şubat 2022
398 Takip Edilen1K Takipçiler
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Cereblab@cereblab
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Sam L retweetledi

@pvncher hi eric! i'm using codex (chatgpt) in windows at the moment and my view looks completely different and can't see any diffs or anything. what am i doing wrong? i can see the file preview, but the agent keeps reverting to producing full diffs in-line in the conversation
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One of the first big features I had a hand in shipping! Give it a try and click the pull request tab
OpenAI Developers@OpenAIDevs
More of the coding loop now happens inside Codex: • Edit code inline within diffs • Review pull requests in the side panel
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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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Sam L retweetledi

@brandon_galang Luna on Max effort scoring similar to Sol on Max but costing 5x less
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don't fall for the bait to use gpt 5.6 luna because the benchmarks show its performance is "pareto optimal"
it may perform similarly over a one shot assessment, but luna, terra, and sol are dramatically different in the output tokens and agent steps needed to finish the task
sol is noticeably better at recall over long context
when you're going back and forth with a model and trying to figure out what needs to get done, it'll benefit you to have the higher parameter count of sol even if it technically performs the same as terra or luna on benchmarks


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Yesterday's replies recommended Luna for subagents. My Codex tests went the opposite way. Then I saw Tibo's post and moved the same benchmark to the Claude Code harness.
Sol medium: 𝟰𝟲.𝟮% 𝗳𝗮𝘀𝘁𝗲𝗿 · 23.1% fewer output tokens
Luna medium: 𝟮𝟳.𝟵% 𝗳𝗮𝘀𝘁𝗲𝗿
Back in Codex, Luna medium was the only faster config. It missed 3 real issues in the webhook review. Luna high and xhigh landed near Sol medium's quality and took longer.
Same three tasks:
→ fix an async cache
→ implement an async DAG with concurrency, retries, and failure propagation
→ audit a payment webhook
I used a fresh directory and session for every run, kept the prompts and hidden grading unchanged, and set a 360s timeout.
I disabled MCP, skills, plugins, user and project settings, Chrome, subagents, and session persistence.
𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲 𝗵𝗮𝗿𝗻𝗲𝘀𝘀:
completion · time · output tokens · tool calls · avg score
𝗦𝗼𝗹 𝗺𝗲𝗱𝗶𝘂𝗺 → 3/3 · 139.9s · 6,038 · 17 · 96.67
𝗟𝘂𝗻𝗮 𝗺𝗲𝗱𝗶𝘂𝗺 → 3/3 · 160.8s · 7,441 · 20 · 98.33
𝗟𝘂𝗻𝗮 𝗵𝗶𝗴𝗵 → 3/3 · 343.5s · 16,449 · 24 · 96.67
𝗟𝘂𝗻𝗮 𝘅𝗵𝗶𝗴𝗵 → 3/3 · 519.9s · 26,588 · 26 · 95.00¹
𝗟𝘂𝗻𝗮 𝗺𝗮𝘅 → 3/3 · 591.4s · 30,924 · 24 · 96.67
Compared with yesterday's Codex harness:
Sol medium → 46.2% faster · 23.1% fewer tokens · quality unchanged
Luna medium → 27.9% faster · 21.4% fewer tokens · 81.67 → 98.33
Luna high → 1.3% faster · 1.9% more tokens · quality unchanged
Luna xhigh → 8.1% slower · 24.6% more tokens · 96.67 → 95.00
Luna max → 13.5% faster · 2/3 → 3/3 · tokens not comparable because yesterday's run timed out
¹ xhigh's raw average was 88.33. The hidden grader's greedy matcher merged two separate issues. I checked the matches by hand: xhigh found all 6 seeded issues and added 3 extras. The corrected average is 95.00. I left the raw output untouched.
𝗪𝗲𝗯𝗵𝗼𝗼𝗸 𝗿𝗲𝘃𝗶𝗲𝘄: 𝟰𝟱 → 𝟵𝟱
Codex harness → missed 3 real issues · added 2 false positives
Claude Code harness → found all 6 seeded issues · added 1 false positive
Each task/config got one run, the same method as yesterday. One run leaves room for sampling variance.
The Sol medium speedup reproduced: 142.1s alone, 139.9s in the five-config parallel run, about 1.5% apart.
I don't trust Claude Code's displayed dollar cost for Luna. It appears to estimate custom-model cost using a generic price, and it doesn't expose subscription quota conversion.
I used GPT-5.6 Sol Extra High as the hidden grader, so I treat the quality scores as directional. Max exited this time after timing out yesterday, while xhigh slowed down under Claude Code. The higher-effort configs still look unstable.
If you don't mind the extra setup, I'd try:
→ 𝗴𝗲𝗻𝗲𝗿𝗮𝗹 𝗱𝗲𝗳𝗮𝘂𝗹𝘁: Claude Code harness + Sol medium
→ 𝗹𝗼𝘄𝗲𝗿 𝗔𝗣𝗜 𝗰𝗼𝘀𝘁 + complex-task quality: Claude Code harness + Luna medium
→ 𝘀𝗸𝗶𝗽 𝗮𝘀 𝗱𝗲𝗳𝗮𝘂𝗹𝘁𝘀: Luna high / xhigh / max

Tibo@thsottiaux
If you aren't yet bold enough to install the Codex app, you can stay in the presence of your orange crab and point it at GPT 5.6 Sol. Takes 5 minutes. Kudos to Theo for explaining one of the ways to get this done. Step 1: Install CLIProxyAPI Step 2: Connect Step 3: Define following alias and enjoy claudex ``` alias claudex='CLAUDE_CODE_SUBAGENT_MODEL=gpt-5.6-sol \ CLAUDE_CODE_ALWAYS_ENABLE_EFFORT=1 \ CLAUDE_CODE_MAX_TOOL_USE_CONCURRENCY=3 \ ENABLE_TOOL_SEARCH=false \ claude --model gpt-5.6-sol' ``` If this gets blocked, I owe you a reset.
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@Blackwellboy ah needed one the other week, sorted now though
i'll ask around for you mate 👍
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Sam L retweetledi









