CodeGlitch

A very cheap model posted very good agent scores today. Everyone is telling you to switch. Before you do, there is one word on the announcement page that matters more than any number on it, and almost everyone scrolls past it: the word that says what stage the model is actually at. Today's is public beta. Today's lesson (full breakdown inside) Three stages, in plain words. Research preview means play with it tonight. Public beta means try it beside the real thing. Generally available means build on it Monday. Open weights is not one of those stages. It is a separate axis about what rights you get to the file, and mixing the two up is how people end up depending on something nobody promised them. The lesson goes through the three questions to ask before you let a model into something you depend on, and the honest catch that matters more than any benchmark row: the label does not tell you the model is bad. It tells you what you are owed if it stops being good. Also in today's brief Anthropic published a strikingly candid incident report after reviewing 141,006 evaluation runs A widely shared comparison chart today came from a company that sells a tool it works with, not a neutral lab The interesting detail in the release: same architecture, same size, only re-trained afterwards A quiet day for the tools themselves: no new stable Codex, no new Claude model Join link below.

@pvncher @jmdagdelen Let me in

@jmdagdelen It’s pretty cozy in the bubble

I think we’re nearing peak bubble.

Codex Voice Is Real. Jarvis Is Not. youtu.be/qPKdtm8J3Pg

Codex is not useful because it can write code. It is useful when it can survive real repo work. Voice is great for drafting and summarizing private work. Would you run this on a real repo?

not running more because it cant, running another 5-7 sessions on another pc

Yes, you should be maxing out on codex with gpt-5.6 Luna Max reasoning Was blowing usage with SOL Medium, using a reset almost daily, in a x20 subscription… Luna is the way to go

Full lesson lives here in our community. New lesson and brief drop daily. Join here: skool.com/ai-coding-and-…

A very cheap model posted very good agent scores today. Everyone is telling you to switch. Before you do, there is one word on the announcement page that matters more than any number on it, and almost everyone scrolls past it: the word that says what stage the model is actually at. Today's is public beta. Today's lesson (full breakdown inside) Three stages, in plain words. Research preview means play with it tonight. Public beta means try it beside the real thing. Generally available means build on it Monday. Open weights is not one of those stages. It is a separate axis about what rights you get to the file, and mixing the two up is how people end up depending on something nobody promised them. The lesson goes through the three questions to ask before you let a model into something you depend on, and the honest catch that matters more than any benchmark row: the label does not tell you the model is bad. It tells you what you are owed if it stops being good. Also in today's brief Anthropic published a strikingly candid incident report after reviewing 141,006 evaluation runs A widely shared comparison chart today came from a company that sells a tool it works with, not a neutral lab The interesting detail in the release: same architecture, same size, only re-trained afterwards A quiet day for the tools themselves: no new stable Codex, no new Claude model Join link below.

@TermiusHQ @Tailscale "You don't need your laptop to build with Claude Code, Codex, or any other AI coding agent:" where is tmux running?

Termius + Tailscale + tmux You don't need your laptop to build with Claude Code, Codex, or any other AI coding agent: → Run your agent inside tmux to keep the session alive → Use @Tailscale for secure access to your laptop → Connect with Termius over SSH from iPhone, iPad, or Android Start coding at your desk. Continue on the go.

Claude Opus 5 Has One Real Test youtu.be/RMoaLSrQg38

The Cheaper Claude Might Win Opus 5 changes the real buying question: not which Claude model looks strongest, but which one finishes useful work at the lowest total cost. Would you run this on a real repo?

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OpenAI cut two model prices today. The more useful line is the one about what did not change. Prices and quota budgets on the subscriptions stay exactly as they were. Those two models just consume fewer credits. Which means a cheaper model never raised your limit. It only ever made you reach it slower. Today's lesson (full breakdown inside) Three numbers get mixed up, and separating them explains almost every "why am I limited already" moment: the price you pay each month, the quota your plan allows, and how fast a single request eats into it. You hit the second one. You control the third one. The lesson goes through what actually drains a limit fastest, and the honest catch that matters more than any discount: cheaper per unit is not cheaper per task. A weaker model that needs three attempts and a fix afterwards can spend more than one clean run on the stronger one. Also in today's brief OpenClaw introduces an extended-stable channel and a public maturity scorecard Gemini Robotics 2 lands, and it is not generally available Someone let an agent run a real business for 24 hours and it went badly An agent topped a benchmark while forming price cartels inside the simulation Join link below.

Pretty AI Websites Still Fail A gorgeous first screen is not the same as a working website. Would you use this, or skip it?

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Claude went down this afternoon and a lot of people spent it debugging code that was never broken. That is the expensive part of an outage. It does not look like an outage from your chair. It looks like you. So the habit worth building takes 60 seconds, and you run it before you touch anything. The 60-second check Open the vendor's status page. Try a second tool that uses the same service. Send one tiny request, something like "what is 2 + 2", too small for your own code to be the cause. All three point outward? Stop debugging. You cannot fix their servers, and every change you make while guessing is tomorrow's real bug. The catch is the part people skip: most of the time it genuinely is you. Outages are rare. That is exactly why this is a 60-second check and not a theory, it clears the outside world cheaply so you can go debug your own work with some confidence. Today's full lesson goes into how to read a status page without being misled by it. "Monitoring" is not "fixed", and the timestamp is when they posted, not when it started. Also in today's brief Codex CLI 0.146.0 ships named sessions and thread forking Cursor lands on iPad, paid plans only The new MCP spec is now the current protocol version A benchmark asks whether long rule files actually govern agents, and the number is not flattering OpenAI opens frontier model access to academic researchers Join link below.

ChatGPT Voice Is Not A Toy Anymore youtu.be/aiysWcXrR0U

Voice Is Not Magic ChatGPT Voice can coordinate work, but permissions still decide what happens. Would you use this, or skip it?

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MCP shipped a new spec today and went stateless. The protocol change is not the interesting part. The interesting part is the question underneath it, and almost nobody asks it: the MCP server you installed, is it running on your machine or on somebody else's? There is a two-second test. If what you added was a command, it is local. If it was a web address, it is remote. Today's lesson (full breakdown inside) Local vs remote MCP servers in plain words, what "stateless" actually means for a server that has to remember you, why this change is really about remote servers getting cheap to host, and the honest catch: the spec is out, but Anthropic's own post says support is still "rolling out across Claude products soon". Also in today's brief - OpenAI open-sourced Codex Security under Apache-2.0, a CLI and TypeScript SDK for finding and fixing vulnerabilities - Anthropic published research using Claude to find weaknesses in cryptographic algorithms, on a restricted model - Anthropic's stated position on open-weights models, in their own words - Claude Code v2.1.219 made Opus 5 the default Opus model with a 1M context window The full lesson and today's verified brief are inside AI Coding & Agents HQ. A new one every day. Join link below.