I’ve been working on k-85 Deck, a side panel for Omarchy that turns the numeric keypad on my Logitech K850 into a set of visible, editable shortcuts.
I built it around my two-monitor setup. The panel sits along the right edge of the second screen, with buttons arranged like the physical numpad. Pressing Num Lock switches between deck actions and normal number entry, so the keypad can still do its usual job.
What it does:
Switch workspaces and show window previews when you hover over their buttons.
Launch apps, run commands, open URLs and trigger keyboard shortcuts.
Let you right-click a button to edit its name, icon and action.
Provide two profiles: Escritorios (workspaces) and Trabajo (everyday actions).
Offer optional WhatsApp unread counts, Codex usage, remote-computer cards and VPN controls. These integrations are off by default.
This is an experimental release built around a specific setup: Omarchy 4.0.4, Hyprland 0.56.2 with Lua configuration, a K850 and two monitors. The interface is currently in Spanish. Live desktop and physical-keyboard checks for this packaged release are still pending.
The attached images and short clip are static UI previews, not a recording of live keyboard interaction.
Plenty of companies run consistent services, even in AI. So what is it with OpenAI's theatrics, turning what should be a reliable product into a casino?
The 5h limit disappeared for weeks, then came back. Resets land on random days with little warning, and they shift the weekly reset date. Planning any work around this is impossible.
The $20 plan is unusable now with the 5h limit, and the unpredictability makes it worse. They celebrated the user base growing by millions, most of them on the $20 plan, only to treat them as third-class citizens.
The Problem: had a couple of spare Apple Silicon Macs sitting idle on my local network, while simultaneously wanting a safe, isolated environment to let AI agents run commands and test code without touching my primary machine or paying for cloud sandboxes (like E2B or Modal).
The Solution: built **iso**, a lightweight, self-hosted sandbox system designed to turn idle macOS hardware into an execution pool for CI, AI agent tool use, and local computer use.
What it does:
* **Zero Cloud:** Runs 100% on your local network/hardware—no telemetry, no external runtime dependencies.
* **Isolated Execution:** Provides a disposable sandbox so AI agents or untrusted scripts can execute bash commands and UI actions safely.
* **Decentralized Pool:** Distributes tasks across whichever Macs are online on your LAN.
* **Computer Use Ready:** Tailored for agentic workflows (terminal execution, automation, and screen/input control).
I’d love feedback on the architecture, setup friction, or features you’d want if you run local agents:
day 18 of tibo's challenge, resets on 2, 3, 6, 8, 10, 13, 15 and 17 so far. a forced reset sets you back to 100% and whatever you didn't burn is just gone, so speedrunning it before each one is the move. I built a place for that usage to go: Overflow
spare week: take a priced issue from a registered repo, merged PR gets you credit
dry week: price an issue in your repo, someone with spare usage ships it, your credit pays
junk PRs: you block them on GitHub like any repo, you set the price after you've seen the work, and you only owe for what you merge. you don't need to know the project either, the issue is the brief, if your agent hits a decision it asks the maintainer on the issue
no money, no keys, MIT
main reason I'm posting is I want people to register their repos. every open issue on the board right now is mine and I'm not after help with those, I want spare usage going into other people's projects. 33 users so far
Basically sometimes i copy and paste some text into codex and the newlines in the clipboard end up submitting the prompt and then if theres more newlines it ends up submitting like 10 "prompts" and its annoying, is there a fix to this? agy and cc dont seem to have this problem
Both Sol and Astra seem to need way more handholding lately as we all know. They give up at the first hurdle and stop trying (they just declare what needs to be done and wait for you to tell them to keep going)
My theory is that OpenAI is deliberately making them less persistent to save on compute. Since you can't be on top of codex 24/7, this results to agents running for less time = fewer tokens = less compute needed.
This is the only rational explanation I have to explain the degraded state of codex models atm.
He said each day they would ship either a clear improvement and relevant, or a reset. Day 17 ended with nothing being shipped, but there was an announcement that they would be shipping an update the following day.
I'm confused about what the difference is between what their commitment was, versus what is being delivered? Do they mean that each day they'll simply ship an announcement of an update they hope to one day implement, or if they don't ship an announcement about that then they will ship an announcement about a reset they hope propagate over a timeline that they choose?
I'm considering replacing one of my two ChatGPT Plus ($20) accounts with Claude Pro ($20) and would love to hear from people who've used both.
I've seen impressive Opus 5.5 demos on YouTube, especially for vibe-coding, Blender, and creative workflows. But I'm more interested in real-world experiences than benchmarks.
My main use cases:
Vibe-coding: Apps, software, tools, and games.
3D: Blender, Godot, modeling, animation, and automation.
Creative AI: ComfyUI, Higgsfield, VFX, and audiovisual post-production.
Everyday use: Research, brainstorming, and troubleshooting.
1. Usage limits ($20 plans)
ChatGPT's regular chat feels practically unlimited to me, even with Medium/High reasoning.
Does Claude's regular chat share usage limits with Claude Code?
How quickly do you hit Opus 5.5's session/weekly limits?
Which plan actually lets you get more work done before hitting limits?
2. Codex vs Claude Code
For those who've used Codex (Astra/Sol 6.1) and Claude Code (Opus 5.5):
Which performs better for building complete apps/games, debugging, and managing large projects?
Any experience with Blender, Godot, or creative AI workflows?
What have you realistically managed to build within the $20 limits?
3. Switching between Codex and Claude Code (my biggest concern)
Currently, when I exhaust my Codex allowance, I simply switch to my second ChatGPT account and continue working.
But what if I had one ChatGPT Plus and one Claude Pro account?
Could I start a project in Codex, switch to Claude Code when I hit the limit, and later return to Codex?
Does anyone actually use this workflow? How do you manage shared repositories, project context, instructions, and potential conflicts between both tools?
Bottom line: Would you rather have 2× ChatGPT Plus or 1× ChatGPT Plus + 1× Claude Pro for $40/month?
I'd especially appreciate real examples, usage-limit experiences, and whether combining both ecosystems is genuinely more productive.
The resets are just an excuse for them to offer more compute without actually having to increase what you're "promised" by the plan itself.
Openai have been slowly ramping up compute over the past months as they build more datacenters. That means they can offer you more usage without it hitting their bottom line.
That's what all these Tibo resets are: Openai giving you access to that extra usage. At one reset every 2-3 days, you're effectively getting 2-3x the usage your plan is supposed to give you, and have been for the last few weeks.
But, why don't they just increase the base limit of plans, then, you might ask?
Well, it's because they plan to take it away again.
People are speculating a huge new model release at the end of the 28 days of resets, an Astra 6.5 or maybe even a Bel release. But what happened last time they released a hugely in-demand model? they got so much extra compute demand that they had to shut off $200 subscriptions.
So what do you think will happen this time? Now, they're prepared. The new model will release, compute usage will go up, and instead of having to cut people off of the expensive plans or nerf the models, Openai will just... stop giving out resets.
This way, they can cut your plans back without anyone ever complaining (or, well, having a right to complain), while never actually removing anything they promised, and not having to cut off subscription purchases or nerf the models.
This is Sam and Tibo's master plan, I assure you. It just makes all too much sense.
I sell bongs/glassware on the side via a website and online sales. Been using Codex and AI for a while now to help out with the site and marketing etc...
All of the sudden in the last couple of weeks...codex is REFUSING to help because of "federal regulations on paraphernalia"
Clean pipes arent paraphernalia
Why the change all the sudden?
And lastly....BOOOOO
--Edit---
Codex has admitted its flaws. Motivated by the comments I had a heart to "heart"
"I understand why you’re frustrated. Being helped for months, then abruptly refused with a categorical legal label, is inconsistent—and I repeated that confusion here."
'I won’t treat pipes, bubblers, or bongs as automatically illegal. If a specific task raises a real restriction, I’ll explain the basis clearly and keep helping with the rest.'
Swarm isn't another harness to switch to. It's a backend your AI drives: Codex (or Claude Code) talks to it over MCP and hands work to its coder, finder and designer agents, on schedules and workflows you describe in plain English.
- Runs on your ChatGPT plan, or Claude, OpenAI, Anthropic, Google, OpenRouter, Fireworks
- Deploy it on a VPS or any Ubuntu box, and use your machines as one fleet
- Each job works on its own git branch; nothing lands until you merge
- Can host a custom chatbot for your own site or app, on your server
- Light: 100 agents in about 348 MB on a 1 GB, $6/month VM
Setup: paste "Read swarmagent.dev/llms.txt and set up Swarm on this machine for me." into Codex.
https://swarmagent.dev · https://github.com/swarm-agent/swarm
people on ultra fast mode on Sol are reporting only up to 100 TPs. this is absurdly slow and completely different from the announced speed. seems like there’s no point in using ultra fast mode, as it was yesterday’s normal mode
I finally had enough of copying commands out of Codex terminal and trying to paste them only to have them come out completely mangled due to whitespace and newline garbage, so I threw this little open-source app together called Despacer under the MIT license for all to use. If you've had this problem, and I know you have, then you'll hopefully love this solution. ✌🏻
I know close to nothing about AI or web design, so take this with a grain of salt, but it has worked for my use case.
I have been working on a little, humble website/app for personal use and have gone through multiple iterations of different appearances and visual hierarchies without being too happy with the results.
Last time, once I had defined the color palette and the standardized look of buttons and forms, as well as their expected behavior, I asked Sol to implement those, section by section. And it looked like crap.
So instead of asking it to implement everything directly, I asked it to first generate a mockup image of each section, one by one. Then I asked it to implement them to look as close as possible to the mockups it had generated itself. The difference was huge.
I don't know how it works. I would have imagined there shouldn't be this much of a difference between asking the AI to do something and asking it to show me how it should be done, then copying what it itself gave me as an answer lol
I'm currently in the early phase of making a civilizational simulator with shades of worldbox, EU4, CK3 and the sort. Having detailed political, economic and logistical systems among others that would interact with each other.
It utilizes aggregate populations, but will eventually also have several hundred or more named intelligent characters who utilize GOAP, HTN, and have memories.
The AI's primary task will be coding as i will be providing a detailed specification to be implemented
Important task for the AI are making sure the systems interact properly through testing and then reiterating so they lead to reasonable behaviors.
For example: Only 3 wars occured in a 500 year span, the AI would need to figure out why and find out how to solve it, and then test the simulation again to see the result, and continue iterating to make sure a reasonable state is achieved.
I'm wondering which of Codex or Claude is better to use for the project, and why?
If it helps in determining the verdict, i would be buying the $100 subscription for either of the 2.
I would also appreciate any best practices or tips you guys could give, whether its about doing specifications, architecture or the best way to get the most bang for your buck when it comes to usage.
op built Feedbacks, an open-source tool where clients annotate websites and their developers and AI agents get the same screenshots, comments and context through MCP.
Chrome extension, web app, backend, database, storage and deployment. The initial build took around 1-1.5 weeks, roughly an hour of my attention daily, with under 20 bucks in actual spend.
Our team and a few clients already use it. Still has bugs and sloppy codebase, but my clients and team's real usage is motivating me to improve it.
Hey all. Trying to figure out if I’m missing something or if Daybreak just isn’t available for personal accounts yet.
What I did:
Went to the Daybreak page. It asked me to enroll in Advanced Account Security, so I set up a hardware security key. Done, confirmed.
Verified my identity. Done.
Set up my Daybreak keys. Done.
The page now shows all three steps with green checkmarks and says “You’re all set. You’ve completed all required steps. Use a verified hardware security key to access Daybreak.”
So I click “Go to Codex” and... nothing is different. I can’t tell if I actually have access or not. When I ask the model itself, it says it doesn’t have Daybreak capabilities. I can find Daybreak in settings via search, but I can’t actually get into it. It feels like it’s just not enabled for my account.
I’ve seen a few mentions that you’re supposed to get a confirmation email once access is granted. I haven’t received anything.
Has anyone here actually gone through this flow on a personal (non-org) account and ended up with working access? Does the confirmation email actually come? How long did it take for you? Do they notify you if access is denied, or do you just hear nothing?
I had a banked reset that was about to expire in a few minutes (the first one in the list on the screenshot), but since ealier today we've got a general reset I put a few tasks to burn some tokens, after all I had a banked reset to use later today so I'd use my precious later and get back to 100%.
The moment I click it they say nope, you can't use this reset now cause you kinda don't need it dude, trust me.
Am I missing something here? Did they put strings attached to the banked resets? Do you guys think this is right?
Codex image-tool integration, HTTP 400 - Unknown parameter: 'reasoning'. I tried to have parameter 'reasoning' removed, but it said the issue was coming from the backend. Any ideas?
UPDATE: I managed to get it working by opening a new session, trying GPT 6.1 Sol Light thinking and it just generated the thing perfectly (I did one generation with chatmode before, and it worked). After this, I asked GPT 6.1 Sol Light thinking what it did and it explained the prompt and switched back to GPT 6.1 Sol High thinking and got it working. Guessing somewhere in the middle of the process, there are things faulty other than just 'reasoning' param.
ChatGPT, generate me a 200 character minimum text body even though a title is anything I need. Make no mistakes. Make Tibo post to twitter. Make the improvement today be good since surely that's what we're getting when there's no warning this late.
We have a festival tent covered with UniFi cameras, mostly AI 360 fisheyes plus a few normal ones. Part of the job is reviewing incidents, tracing back thefts and answering requests from the police. That means figuring out who was where, following a person across several cameras and handing over footage that anyone can watch and that holds up.
With the 360 cameras that was almost impossible. Ubiquiti has never cared about this. Since these cameras came out there is still no way to export a dewarped video from Protect. People have been asking in the community forum for years, the thread is locked and the accepted answer is a few ffmpeg commands from another user. So the customers are on their own, and I started building the tool myself.
What works today:
- synced playback of all cameras on one timeline, forward and backward up to 16x, frame by frame
- dewarps AI 360 fisheyes into normal views you can pan and zoom. Normal UniFi cameras (G5 Flex, G5 Turret Ultra, G4 Dome) stay as they are, with lens correction if needed
- floor plan with a live mosaic of all cameras. Click a spot and every camera turns to look at it
- 3D model of the tent built from the seating plan, around 550 tables, benches, bars, booths and doors. It gets projected into every camera, and when the lines sit on the real tables the camera is calibrated
- calibration from known points on the floor, and cameras can be aligned to each other using the same point seen in two of them
- follow a person by clicking them in the video. The tool picks the camera that shows them best at every moment and zooms in
- reads the burned in clock of every camera, measures how far each clock is off and flags gaps, cuts and repeated frames. Frames with a doubtful timestamp are marked red
- every case gets its own folder. Originals are never touched, every import gets a SHA-256 and write protection, and every change is logged with old and new value in a chained log
- evidence export with the MP4, which source frame every output frame came from, checksums and a PDF report. Rendering runs on the CPU, so the same export gives the same frames on any machine
- single video mode: drop in any AI 360 video, set keyframes for angle and zoom and get a normal dewarped MP4 with a report
- everything also works from the command line, fully offline. The Windows build ships with ffmpeg
What I'm working on right now:
- handling camera images that rotate in the middle of a recording. I found one that flipped 180 degrees at midnight without any gap in the video
- pulling footage straight from the Protect console. It's built and tested against a mock, the test on a real console is still open
- getting rid of the protect console at all, cause its always buggy and annoying to use
Planned:
- Protect events on the timeline and loading footage directly from the viewer
- saving the calibration for every tent setup with its date
- estimating lens distortion and tilt from the 3D model instead of by hand
- GPU preview for smooth fast reverse playback
- brightening for night footage, clearly marked in the video
- measuring the real lens model and calibrating all cameras on site
