OpenAI’s ChatGPT 5.6 with their most “generous usage limits to date”. 7th July. I called it a couple months ago, OpenAI always does this. They give you the world - pullback - repeat. We’re about to see the most intelligent models, with the most generous limits. Near unlimited. -They already give you resets to stack. -5.5 is still a beast after two months. -They actually listen to their users. -Codex App is actually good. Are we all just cancelling claude?

I’m pleasantly surprised that I’m not hearing any LLM speak in political speeches. Are they just lagging by 5 years, or do they actually have principles

If you think codex sucks at design, try "use imagegen to re-imagine this design and implement that".

Anthropic team: "More than 40% of code at Anthropic is already written by loops. Our target is 80% within 6-months. an agentic loop = plan → act → verify → repeat. It continues this cycle until the task is complete." in 30-minute talk, Anthropic team member gives one of the best breakdowns of the agentic loop. 3 phases: plan (read, grep, think) → act (write, edit, bash, MCP) → verify (run tests, build, read logs). Watch it today, then explore the entire workflow in the article below.

How I use Codex to build what I want (for beginners) I've made all of the vibe coding mistakes at this point after 100s of hours of addicted late nights tinkering and building stuff. I'm putting out this video to check it... is there anything missing in my vibe coding process?? How can i get BETTER?

How I use Codex to build what I want (for beginners) I've made all of the vibe coding mistakes at this point after 100s of hours of addicted late nights tinkering and building stuff. I'm putting out this video to check it... is there anything missing in my vibe coding process?? How can i get BETTER?

Anthropic released Sonnet 5 the other day and it left the world wondering... Why? Sonnet 5 is absurdly expensive and wastes tokens like a kid at chucky cheese IT'S MORE EXPENSIVE THAN FABLE... FABLE!! And it's not even that good of a model so why did Anthropic even release it? Well I think I figured it out

I've heard a lot of questions about Fable's availability on subscription plans. While it will come off subscriptions after July 7th, we aim to restore Fable as a standard part of our subscriptions as soon as capacity allows, as we mentioned in our original blog post.

How I use Codex to build what I want (for beginners) I've made all of the vibe coding mistakes at this point after 100s of hours of addicted late nights tinkering and building stuff. I'm putting out this video to check it... is there anything missing in my vibe coding process?? How can i get BETTER?

If GPT-5.6 matches Fable 5 performance, but without the 50% limit 7 days restriction, it's over for Anthropic

Claude Fable 5 will be available again globally tomorrow. After a series of productive conversations with the US government, we're redeploying the model with a new set of classifiers to target and block more cybersecurity tasks. In the near term, some routine tasks like coding and debugging will fall back to Opus 4.8. We’ll continue to refine these classifiers over the coming weeks to reduce false positives and better distinguish genuine misuse from legitimate requests. We’ve also begun drafting a consensus framework—with Amazon, Microsoft, Google, and other Glasswing partners—for assessing the severity of AI jailbreaks and how AI developers should respond to them. We invite other industry partners and model providers to join us in this effort. Finally, we’re scaling up our collaboration with the US government on model testing and safeguards. This will include pre-release access to models and safeguards for evaluation, information sharing on jailbreaks and misuse, and dedicated resources for joint research. Thank you to our users for your patience, and to our partners across the government, industry, and the research community who worked alongside us to make Fable 5 available again. Read our full blog: anthropic.com/news/redeployi…

Codex usage limits will be fully reset again in the next hour and we will credit one additional reset into your bank for your own usage over the next 24 hours. We investigated reports that Codex usage was being consumed faster than expected. There wasn't one central issue, but a few smaller problems compounded for some users. Here's what we found and changed: - Actual usage: Auto-review had become more proactive, another change was triggering more subagent work, and background suggestions could run twice or retry too frequently after failures. We reverted the changes and fixed suggestion scheduling, duplicate generation, and retry behavior. This should reduce unnecessary background token consumption while preserving the work users explicitly request. - Usage reporting: Auto-review was incorrectly appearing as GPT‑5.4 usage, and failed or rate-limited requests were still shown as turns. Auto-review now appears as its own category, and only successful requests count toward the turn graphs. Rate-limited requests were never charged, but they were being displayed incorrectly. - Immediate relief: We reset usage limits while rolling out the fixes, then shipped hotfixes across the CLI, desktop app, and usage backend. - What to expect: New usage data should be clearer and actual consumption should be lower. Historical charts may still show auto-review under GPT‑5.4 because older turn data was not relabeled. Features that intentionally perform more work; such as /goal, subagents, and higher reasoning levels will still naturally use more capacity. All fixes are now deployed, and we've added more detailed monitoring so we can detect background-usage regressions sooner. We'll continue watching the results closely. Thank you for building and doing all sorts of things with Codex.

Ok, back to optimism ❤️