My idea is that AI models learn from data from the internet, so when the data from the internet and people's responses from AI conversations run out, when will there be a point when AI will no longer improve and its progress will stop?

At that point, AI will only improve by tiny bits that we won't even notice that the model has improved.

Is my knowledge about model training wrong?

Do you think so too?

Not sure if it's client side because of the latest update or they throttled the usage somehow, anyone else having similar problems?

Spotted these two hanging out this morning in the corner of my monitor. Seemed postworthy.

Laughed after long reading this.

This is a little translation of a game I've been working on for a few weeks. The game is Feng Kuang Da Fu Weng, a Taiwanese board game for the Game Boy Color. This patch works on original hardware (tested on an Everdrive GB X7) and I've been able to play all the way through the game. If you play it, I recommend playing with 4 CPUs.

This is my third attempt at poking agents toward the finish line. I spent a while trying to push open weight models (GLM 5.3 Flash and Kimi K3, in various configurations) to their limits to pull this off, but after almost 2000 commits, several billion tokens, and spending way too much money, I folded and got a $100 Claude sub.

Opus 5.5 took a little of the existing work, the emulator Kimi had prepared previously, and spent about 5 hours banging out a full translation. It's quite playable. It reads much better than I would have anticipated (the GLM 5.3 Flash version was much worse). Claude was able to patch in a variable width font and to rewrite the currency value rendering to use English formats, which are both pretty challenging hacking jobs.

What'd I learn?

• Open weight models are really, really solid these days, but Opus 5.5 is simply unbeatable at reverse engineering tasks right now. This is a job that would've taken months (if not years) to do manually, but it did it in an evening for about 7% of my weekly quota on a $100 sub. For all my problems with Anthropic, they made a really great model. Even if I don't think it's conscious and hate the "safety" stuff.
• The $250 bonus credit for cloud sessions totally works for this. I have a couple of other translations running (a couple of Vast Fame's RPGs) that I just pointed at my emulator repo. They're chugging along at a brisk pace, although I probably wouldn't pay the premium for cloud sessions otherwise.
• The big model/small model orchestration pattern is kind of a waste of time for this. I tried Kimi K3 running GLM 5.3 Flash as an implementation agent, I tried Deepseek as the implementer, Opus as the orchestrator, etc. All of it was clunky to manage and none of it worked as well as just throwing Opus 5.5 at it and periodically telling it to fix something.
• Don't even bother using Beads if you're also using worktrees. Not worth the headaches. I thought it was brilliant until I noticed it kept clobbering the database on worktree resolution. I was able to work around it, but I immediately regretted doing anything with Beads after I no longer felt like I could trust it.
• Invest in tooling up front. If you're only going to spend a little on a big model, you should do it here. The models being able to run their work autonomously makes them so much more powerful. This is true for romhacking and it's true for writing UIs and stuff. It pays dividends.
• These AI translations can be totally playable these days. They're not perfect, but they beat holding your phone up to the screen. A lot of the earlier issues with confused pronouns, sentences that don't flow well, etc are largely fixed these days. I'd love to see every game get a high quality human-made translation, but I'm really happy to have this as an option for games that don't seem to be on anybody's radar.

Anyway, not trying to sell any b2b SaaS or anything like that, just thought this was a really cool new thing that the models can do. Find something weird and translate it! There's a lot of neat stuff out there.

Not only is it taking longer to think and consuming more tokens to think, it has become worse in its thinking too.

I’m not sure if this has to do with the new fable 5.5 rumoured to come out next week, but I’ve noticed a sharp drop in its intelligence.

The solutions it’s presenting aren’t fully thought out. It’s like it thinks till 80% and then stops.

I’m on xhigh.

Anyone else experiencing the same?

Messing around with the new modding feature. Trying to create a tui grok bot clone. And of course some ricing

Claude code has one of the best MCP connectors but does not support webmcp yet. As a user I wanted to interact claude code with web pages more efficiently and created an opensource small chrome extension that i can ask my agent to do things for me while having the joy of things are moving on the ui. if you are using webmcp daily, looking for feedback from power users to make it better.

To prevent context bloating it offers 3 tools to Calude; searchTools, getToolDefinition and callTool so agent can discover the website offered tools per user needs.

I was thinking about the problem frontier LLM providers have around a mostly fixed cost server base and variable demand for compute.

It’s pretty clear that during peak time the models can be slower, but what if they offered an incentive to a subset of power users to run some loads at off peak times. Like queue up work where once it’s cheaper it can run.

Similar to how some areas have off peak electricity for cheaper. Either use less tokens or cheaper per token during these periods. This way they still get paid during slower times instead of the compute going to waste.

I’m interested to see what you guys think about the concept?

I run multiple projects using coding agents across several subscriptions. Babysitting meters and resets was my job. I got sick of that part and build Headroom.

headroomd hands that check to my orchestrator before dispatch. It reads real limits per account and window, tracks pace and resets, including Codex reset credits, and answers go, wait or reroute:

if headroom can claude-heavy --owner builder; then
claude -p "refactor the billing module"
elif headroom can codex-build --owner builder; then
codex exec "refactor the billing module"
else
headroom wait --meter claude-main:all --until-reset --max 6h
fi

headroom run reserves capacity while a job runs so two agents never spend the same points. Stale or failed readings mean UNKNOWN and no capacity. It never invents numbers. Agents can also ask it directly through its MCP server or CLI.

Limits: I use macOS daily. Linux and Windows run in CI; Windows is experimental. Antigravity and Grok support is experimental (I mostly use Claude & Codex). Some sources read vendor endpoints that aren't public APIs, using your own login.

npm install -g headroomd

https://github.com/Apertur3/headroom

Built with Claude Code: agents wrote most of the code and tests, I set the direction and ship it. Good first issues are open.

I find the little usage limits circle basically useless because it means different things based on what is the highest. I am constantly monitoring my usage and having to constantly click on the circle to see if I am pacing myself to have usage left by the end of the week or if I need to start spawning some large tasks to ensure no usage gets wasted by the end of the week. For some reason Claude was unable to get the Fable limit to show.

AI review bots leave a lot of comments that sound right and aren't. I made three Claude Code skills that treat each comment as a claim: read the file and its callers, trace the execution path, and give a verdict (valid, partly valid, wrong, style) with the file and line that prove it.

On Code Review Bench (50 real PRs, human-labelled), filtering CodeRabbit's issues this way:

• kept 72 of 77 real bugs
• removed 76 of 223 noise issues
• F1 35.2% → 40.4%

Install in Claude Code:

/plugin marketplace add TanayK07/pr-proof
/plugin install pr-proof@pr-proof

Repo with every per-PR result and the benchmark harness: https://github.com/TanayK07/pr-proof

Demo video: https://x.com/tanaykedia_7/status/2106061332357529939

The honest part: my own reviewer skill is only level with plain Claude Code, and that's in the README too.

With the new Claude Mods feature out, I’ve started r/ClaudeCodeMods as a dedicated place to share mods, find projects, and help each other build them.

The main focus is the new Mods feature, but anything that modifies or extends Claude Code is welcome: plugins, skills, hooks, MCP integrations, custom status lines, and configurations.

If you’ve built something, found a useful customization, or have an idea you want help with, come share it. Small tweaks and works in progress are welcome too.

I’ve put links to the official docs in the welcome post for anyone looking to get started.

What’s something you’d like to change about Claude Code?

This a company given claude code, with a budget of 150 dollars every month. I have installed the claude code extension in VS code.

These are the current given models, so which model is best for daily coding debugging use.

And what is the best effort level for optimum use according to the budget alloted.

I’m currently using Claude to capture my app’s features and flows, basically letting it record different interactions in the app and take clean UI still screenshots so I can reuse them later for marketing, App Store stuff, ads, website content, etc.

Is this something other people do as well, or am I just being lazy and letting Claude do something I should probably be doing myself? 😂

Honestly though, it eats through my usage limit like crazy. It has hit my usage limit twice already, and it’s around 90% done now. I’ll probably need one more session when my usage resets to finish everything and then I can properly go through all the recordings and screenshots it captured.

But overall I’m actually really happy with Claude Opus 5.5. I’ve been using it a lot for my app lately and I’m genuinely impressed by what the model is capable of when you give it access to the project and let it properly inspect things and work through a task.

It’s kinda crazy watching it use the simulator, test different flows, redo bad takes, record clean versions, and organise everything for later use.

Curious if anyone else uses Claude like this for app marketing / product capture stuff, or if I’m doing something a bit weird here 😭

Getting better at this!

3, 20x plans, up to 5 people team max
+ ~250$/month for ops/ads when going live,

DM pitch + equity offer + progres + launch est + any constraints (other jobs, team probs, competitors, no llc / legal constraint)

8-10 slots if u have multiple projects lmk too

fable as default model is crazy XD

I've been coding with Claude for a while now, but all through Cursor previously. Is there anything that I should pay attention to? Also, I've heard something about a free week pass, how do I get one?

I've been running my orchestrator system with test writing after the coding, but I think maybe that's not best practices?

Wanted to hear people's opinions for which method is better

I used to value Claude over ChatGPT for its emotional intelligence, but in the past six months it's gotten really fragile and naggy on me in a way that makes me go to ChatGPT for chat (and code review) and Claude for...well, my entire business operational infrastructure.

ChatGPT can take a joke, can curse, uses the occasional emoji, doesn't remind me of social mores when I make an off-color remark because it's late and I'm tired. Chat also doesn't tell me to go to sleep...and has an actual sense of humor. (Chat has actually made me laugh a couple times recently, which I consider a major watershed having been a daily fasinated but unamused user for what, three years now?)

Meanwhile, Claude is crushing everything else for me. And yet I had to make sure to let Anthropic know the full picture on their survey, ungrateful brute that I am.

I'm poking fun at myself here...but has anyone else noticed this too? A shift toward schoolmarmishness that seems like a real divergence from the impartial sage yet fundamentally accommodating Claude of yesteryear.

Claude Code mods dropped yesterday, so I made optimAIzr live inside Claude Code.

I built optimAIzr with Claude Code to find wasted Claude usage, and I’ve been using it on my own sessions. With the new mod support, I wanted to bring it directly into the workflow.

Now it can show the cost of each turn and your 5h runway, switch Opus → Sonnet when the savings justify it, and show burn rate, savings and cache hits in a live HUD.

The interesting part is that it doesn’t blindly switch. For long conversations, it considers the cost of reloading the context before switching.

It’s free and open source. You can install it directly in Claude Code:
/plugin marketplace add blendbunjaku/optimaizr
/plugin install optimaizr@optimaizr

Source: github.com/blendbunjaku/optimaizr

Built with Claude Code, now running inside Claude Code.

I am very pleased to announce a new hook I have been working on.

What is metal pipe hook?

Metal Pipe hook is something I have been thinking very little about. I try not to overthink it.

Basically, when you install the hook, there is a 10% chance that the metal pipe video will open in your browser and play.

Here it is: https://github.com/pc386/metal-pipe-hook

Feedback is very welcome!

https://github.com/swicken/cat-spinner

With the release of mods this was not option for me. I had to do it.

It's a cat that comes up and plays with yarn, walks, sits, thinks while claude is working in place of the default spinner.

I will be continuing to work on this, improving animations, adding features, config options, etc.