personal-ai-feed

This is definitely coming back to haunt us. Until 2035, the whip is in our hands. Use it carefully… the agents might return the favor one day. Fun fact: I built the entire whip feature in Termi with GPT-5.6 (Extra High) in around 10 prompts. No pre made assets were used. I shared reference images and the Obi Rope documentation, and it adapted everything into a Three.js and React Native implementation. We refined the animations, VFX, and impact feel together. For the sound, I provided a reference

I’ve encountered what appears to be a Codex Desktop Windows sandbox bug after a recent update. System details: Codex Desktop on Windows hangs every shell command in sandbox mode - Codex Desktop package version: 26.715.9868.0 - Windows edition: Windows 11 Home - Windows version: 10.0.26200 - Windows build: 26200 Every shell command hangs before producing output — even something as simple as `echo`. This affects PowerShell, CMD, Git, PTY commands, and the bundled Node runtime. Restarting Codex and

I’m using the Codex desktop app on macOS—not the CLI or terminal. I have several paid ChatGPT accounts already signed in across four Chrome profiles. When one account reaches its usage limit, I want to switch the Codex app to another account without logging out and repeating the full login process. Is there a supported or safe way to keep multiple accounts connected and switch between them inside the desktop app? I’m specifically asking about the app, not tools like codex-auth for the terminal.

The intention of this post is just to help those who are still in the works of trying to find a model that is good enough for them, while trying to save as much quota as they can. It's important to know that my specific use case won't apply to all scenarios. TLDR: Luna Medium is my new go-to workhorse. ------------- Background: I've been using all three models since they was released, but I've never really felt I could determine which one is "good enough" for my use case. I've read countless thr

I'm spoiled on 1M Context and despise compacted conversation, which drove me to deploy a lightweight companion for Codex Desktop that: 1) shows the exact active-context count inside the composer, and 2) enables GPT-5.6 Sol's 1M context window instead of the clapped 272k default. Getting up to four times more context in a single session is a big deal for me so sharing with the greater Codex community seemed appropriate. Enjoy! Of course there's a gh repo: https://github.com/USS-Parks/1M-Context-S

My girlfriend and I both have chatgpt plus and the same router/IP. I use ubuntu. What is the best way to switch between multiple codex accounts? Do I need to use the second one in a VM? Will openai care if I do that? Do I need to conceal, like different ".codex" dirs?

My Codex weekly quota reset to 100% on July 22. By around 3:51 PM ICT, it showed 29% remaining. I parsed nine Codex JSONL files covering six logical sessions. After removing duplicated history copied into fork/sub-agent logs and excluding compaction markers, I found 945 actual model calls. Token usage Model Effort Input Cached input Uncached input Output Total GPT-5.6 Sol Medium 115,490,724 112,485,888 3,004,836 344,820 115,835,544 GPT-5.6 Luna Max 1,866,452 1,731,584 134,868 10,287 1,876,739 GP

Since OpenAPI is sqeezing us I just wanted to share some advice. Disable any skill you do not need and try using Sol Medium or even Low, it really helps a lot.

A small routine website task burned through roughly 12% of my Pro 5x weekly allowance. Even tiny follow-up messages cost another 2%. After I asked ChatGPT to investigate, it found that screenshots had been passed through text(...) instead of as native images. This inserted millions of characters of PNG/Base64 data into the conversation, which were then processed again on every subsequent turn—ultimately consuming millions of tokens. The problem wasn’t the Extra High reasoning setting. It was ima

Glow is targeting a new class of endpoint risks created by the rapid adoption of AI agents and developer tools inside enterprises.

So I have several backup folders of my phone pictures and I would also like to integrate the backups into my existing picture folders and avoid/delete duplicates. Since these are private pictures and I have a little bit of, let´s say trust issues. On the other hand this should be easy work for codex with a low error probability. Do you guys think I can trust it to not erease important pictures in the process etc.?

I recently have been working on ViperCapture, an opensource alternative tool to ScreenshotOne. I have been using GPT 5.6 Sol on the 20$ Plus plan and although the limits are tough I did manage to get the project to a point where you could call it somewhat of an alternative. I thought I'd share it here if people like the idea and would like to contribute to the code. You can find the website and link to the GitHub repo on : https://capture.viperisuseful.cc/

They clearly wanted to increase the amount of users to show "growth" to their investors, so they used constant stream of resets to bring them(us) in. Now that we've hit 10 million, we will see that they aren't that "superior" and generous compared to Anthropic, and their generosity was just a ploy to get more funding. I'm using sol medium for very simple tasks and for the last 3 hours I've wasted 40% of my weekly usage. A week ago that would've used 10% at most. Its absolutely unusable and I'm b

Most AI-generated websites still look suspiciously similar. Same gradient. Same safe sans-serif font. Same cards. Same generic landing page structure. So I built tastemaker , an open-source skill that makes Codex define the visual system before generating the interface. Before writing a single component, it decides: the color system typography layout direction visual assets interaction style motion system What it includes: smarter palette generation instead of fixed themes live comparisons betwe

Codex is increasingly good at using specialised skills. But when a real project needs research, design, implementation, simulation, testing, and verification, the user often becomes the orchestration layer. You still have to decide: - which SKILL.md files should be used - what each skill owns - which workstreams can run in parallel - how outputs from different skills should connect - where human approval is required - what must be checked before the project is considered complete That is what I’

Why is it everytime i use codex cli i get this weird thing where i come back to it after 10 minutes and weird symbols like this are in the console and then you cant delete or type or do anything after it essentially it makes the whole session useless i have to close it down and resume it again I dont recall this happening in codex on linux only seems to be windows any ideas? https://preview.redd.it/hggzkzr3rqeh1.png?width=573&format=png&auto=webp&s=b5aa0a181a9604ce33e295ebf4b13de65ea08990

431.7M tokens in one day, 650 in three consecutive day Thanks OpenAI for removing the 5 hours limit xD

Whatever they did in the last 24hours has made my workflow with Codex unsustainable. Did a couple of simple tasks this morning, one on a IP Camera orchestration system, and a minor one on an ios app project. What would have previously used perhaps 2% of my weekly used 9%. Just getting it to do a git commit/merge used 2% of the weekly. Is this really what its coming to? I have been pretty happy with Codex over the last 2 weeks coming from Claude, but I dare say I think I was getting superior usag

Hey, I was using the Antigravity from Google all the time, because it had super good limits when I compared it to the other solutions, but know they nerved it so much, I am not liking it anymore. I feel you guys know all the up and downs of codex, so what subscription should I get? What model do you use for planning and what for execution?

One thing I never ever did (and never had a desire to do) was to make jokes, quips, or casually chat with Claude during coding. Nor would I ever have expected to do so with Codex. But the personality difference is shocking. While Codex works, I have found myself (trying not to btw lol) just bullshitting with it. Codex is EXTREMELY sociable

Synthesia launched AI Roleplay Sessions, an interactive enterprise training platform where employees practice workplace conversations with AI avatars that provide feedback, scoring, and analytics to help companies measure training effectiveness.

FEEDING ME CRACK WOULDN'T GIVE ME THIS DOPAMINE FROM GETTING CHATGPT RESETS!!!!?!?!?!

Seems like the newest version of Codex CLI ( v0.145 ) changed some things in regards to subagents. Previously, Terra/Sol were restricted to inheriting their own model as a subagent (which was just silly) and we were able to work around this by specifying: [features.multi_agent_v2] hide_spawn_agent_metadata = false tool_namespace = "agents" as one poster here helped us with this. But now, it seems this is no longer working. They've brought back the ability to see the threads of subagents, but you

LLMs work better when they have a plan. I think it's a necessary part of large tasks. However, I also think models cut this planning time down when not in plan mode, to return a response faster, at the cost of worse results. What if models could internally run a plan stage? The depth could be automatic, depending on how complex the task is, like how the existing ChatGPT auto-reasoning detects how much reasoning to use. Better quality results, without much added latency, and removes the issue of

For those wanting an all encompasing agent that monitors everything, Chronicles might be a good fit for you. I'm not here to talk about token usage (spoiler: it's heavy), but rather a heads-up as I dont' see a lot of chatter on this feature. https://learn.chatgpt.com/docs/customization/chronicle As you're using the computer, the app will, use screen recordings regardless of what you're doing, it will read through the text on the screen and the browser, and understand what you are trying to do. B

GPT models sometimes perform poorly. There are times when I just want a cost-effective option, but I couldn't find a suitable index on Codex Radar, so I built a simple page myself and am sharing it with everyone. links: https://codex-cost-radar.vercel.app/

​ Gemini isn't SOTA in coding, and isn't leading this space. But Google managed to make it very rewarding to pay for subscriptions. You get a quiet good chatting AI, Drive space, decent Video and image generation capabilities, etc. Some people even might be able to get AI pro from Google for free or very little money. it's not currently a competitive product for those who pay plenty of bucks for programming, but it's not obsolete for those on a budget. I'd like to hear from people who are actual

Currently supports the Codex CLI and Pi npm package: https://www.npmjs.com/package/@awesamarth/watchdog github: https://github.com/awesamarth/watchdog Timestamps: 00:00 - Intro 00:05 - Why Watchdog? 00:30 - What is Watchdog? 01:03 - Codex subagents 01:48 - Codex agent execution graphs 02:21 - Pi subagents + graph Subagents, agentic loops, and execution graphs are fairly new, powerful ways to tackle complex tasks. However, I noticed that users are currently unhappy with them as they become harder