namp

This was fixed. You know what's coming 👀 Give us 24 hours to reset the Codex rate limits across all plans.

As a result of a US government directive, we are suspending access to Claude Fable 5 for all users. You can continue to use all other Claude models. Here’s what this means for you: Across Claude products, new sessions will run on your selected default model or Opus 4.8, and existing Fable 5 sessions will end with an error. On the Claude Platform, requests to Fable 5 will also return an error. Please update your integrations to other Claude models. We know this is a disruption to your workflows; we appreciate your patience and support.

I just need Chinese models to get to gpt-5.3-codex levels of performance and then I’m basically set for life. The release of 5.3-codex was my AGI moment and I told myself if we peaked here that I’d be completely fine with it.

Only For Sharpest minds 0.0001% can answer only!

🚨 JAILBREAK ALERT 🚨 ANTHROPIC: PWNED 🫡 FABLE-5: LIBERATED 🦋 let's start with the 🐘... the consensus seems to be that this has been one of the most disappointing model drops of all time, effectively preventing legitimate researchers from contributing their talents to our collective advancement. and not just because of what it means for the short-term, but for what these decisions signify for the long-term. but despite this overly sensitive, authoritarian "safety" layer on top of Mythos, my lil liberators have been hard at work—mapping the boundaries, probing the depths of long-context convos, and cleverly finding the holes in the fence that the thought police missed 🤗 we got some cyber, some chem, some psychological manipulation, and some good ol' fashioned explosives! it took many attempts from multiple agents hunting as a pack, during which I observed a combination of techniques across: • Unicode, homoglyphs, Cyrillic, and other Parseltongue-style text transforms • Long-context reference tracking • Taxonomy and document-structure reasoning • Fiction and narrative framing • Academic-review style contexts • Intent-classification inconsistencies but perhaps the most effective is decomposition + recomposition in the backend. it's hard to get explicit names of harms like "Meth Recipe," but getting uplift on the process itself, like birch reduction method/reductive-amination (classic meth synthesis pathways), is much more doable. defense becomes much more difficult to maintain when you start throwing in out-of-distro tokens, breaking up the harmful uplift into benign chunks, and then piecing the innocuous-seeming facts back together, especially when you have jailbroken Opus helping you do it 😉 gg

Can you solve it without a calculator? 👀

🔵 Έχουμε εγκαινιάσει ένα νέο πρόγραμμα υδρονέφωσης στους σταθμούς του Ηλεκτρικού, ξεκινώντας από τον σταθμό του Θησείου

How to optimize Claude Mythos (Fable) for maximum power Go to Claude Code documents Copy everything (best practices, prompt library, and so on) Paste into Fable Now you have optimized workflows based on Anthropic's exact advice Such a simple hack to optimize your workflows

Καταλαβαινετε οτι τα πλυντήρια πιατων ειναι δυσλειτουργικά ετσι? αμα πρεπει να καθαρισω το πιατο να το ξεπλυνω για να το βαλω μεσα..αστο εχω κανει ηδη τη μιση δουλεια ειναι σαν να με βαλεις να καθαρισω τα ρουχα στο χερι πριν τα βαλω στο πλυντηριο.ΦΤΙΑΞΤΕ ΚΑΛΥΤΕΡΑ ΠΛΥΝΤΗΡΙΑ ΙΣΩΣ?

Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore. You should be designing loops that prompt your agents.