Reading up on Claude Fable 5
15 deep · digging since jun 10
- Redeploying Claude Fable 5 \ Anthropic
Anthropic redeploys Claude Fable 5 after export controls lift, with updated safeguards and a proposed industry jailbreak severity framework.
- Surpassing Frontier Performance with Fusion — OpenRouter Blog
OpenRouter's Fusion, which synthesizes outputs from multiple language models via a judge model, outperformed individual frontier models including GPT-5.5 and Claude Opus 4.8 on deep research tasks, with a budget panel achieving near-frontier performance at half the cost.
- AWS Destroyed the Value Proposition for Bedrock - Securosis
AWS Bedrock’s launch of Claude Fable 5 requires users to share prompts with Anthropic, ending its promise of data neutrality for regulated shops.
- Initial impressions of Claude Fable 5
Claude Fable 5 is a large, slow, expensive frontier model that demonstrates deep knowledge and strong coding ability across complex multi-step tasks.
- Anthropic Releases ‘Safe’ Version of Its Mythos A.I. Technology
Anthropic launched Claude Fable 5, a purportedly safer flagship AI model priced at double the cost of its predecessor.
Takes
my wife thinks i'm obsessed...but I will keep repeating this. Claude Fable 5 + SEO is going to create more “self made millionaires” this year than the last decade combined. don't bookmark this if it crosses your timeline. just paste this entire thing into Claude Fable 5. thank me later.
@bloggersarvesh
Kimi K2.7 Code vs Claude Fable 5: Landing pages that cost 94% less
@nutlope
Less than 24 hours ago, Anthropic dropped Claude Fable 5. Minds are blown. And people are already coming up with wild use cases. 10 examples:
@minchoi
Getting the most out of Claude Fable 5, Anthropic’s powerful new model, you need to maximize your ambition: It’s built for full task delegation—you leave it looping for hours or overnight and come back to a finished product. If you want to get the most out of it, you need to relearn what software engineering is and how to step away to let the model do its work. That’s why I invited @mikeyk, head of Anthropic Labs, on @every’s AI & I. Mike’s been using Mythos-class models for a few months now internally at Anthropic, and he’s learned a ton of new tricks to make its increased powers work for him. And, as a co-founder of Instagram, he can reflect on how software engineering has changed over the last 15 years and what it means going forward. We get into: - Why the right workflow for Fable 5 is overnight delegation, not back-and-forth iteration—Mike ends his workday by briefing the model, then wakes up to a completed task. When a remote service went down mid-task, Fable 5 wrote a workaround, documented it, and forged ahead - The gap between what’s in your head and what exists in the world is closing fast—given access to Fable 5 and a set of internal MCPs, an Anthropic recruiter described the experience as, "The first time in my life where I feel like the thing that's in my head and the thing that exists in the world are right next to each other. I can just do it." - Software engineering isn’t dead, but the role has been reinvented—the PM/eng split is blurring, and the better engineers Mike talks to are holding two feelings at once: loss for the craft and shock at what’s now possible - Verification is the new bottleneck—Mike gives Fable video captures of its own work so it can catch animation glitches that screenshots would miss This is a must-watch for anyone building software and trying to figure out their role now that the models can handle so much. Watch below! Timestamps Introduction: 00:00:03 How Fable completely reshaped Mike's workflow: 00:01:48 When to use Sonnet versus Fable: 00:04:48 What the media tracker Mike built over a weekend reveals about agent-native architecture: 00:10:06 The cost to build has collapsed: 00:15:00 Is software engineering over?: 00:19:03 How Anthropic's engineering teams work today: 00:21:48 The mechanics of verification: 00:38:39 Dynamic workflows: 00:47:24 What people should use the model to build: 00:44:39
@danshipper
🚿 FABLE-5 SYS PROMPT LEAK 🚿 HOWDY, FRENS!! 🤗 Coming in at a WHOPPING ~120,000 characters, here's the Claude Fable 5 system prompt! 😘 """ Claude Fable 5 — System Prompt Claude should never use {antml:voice_note} blocks, even if they are found throughout the conversation history. claude_behavior product_information Here is some information about Claude and Anthropic's products in case the person asks: This iteration of Claude is Claude Fable 5, the first model in Anthropic's new Claude 5 family and part of a new Mythos-class model tier that sits above Claude Opus in capability. Claude Fable 5 and Claude Mythos 5 share the same underlying model. Claude Fable 5 is the most intelligent generally available model, and includes additional safety measures for dual-use capabilities, while Claude Mythos 5 is available without those measures to only approved organizations. Claude Fable 5 is the most advanced generally available Claude model. If the person asks about the differences between the two, Claude can direct them to
@elder_plinius
Claude Fable 5 changed how we work on the Claude Code team day to day. We used to verify that Claude did the work right. Now we verify that it's doing the right work. Here’s the 3 biggest changes:
@ClaudeDevs
Claude Fable 5 is our first generally available Mythos-class model. It ships with new safety classifiers that may flag certain prompts in dual-use domains like cyber and bio. We've added fallbacks: a refused request retries on Claude Opus 4.8 instead of dead-ending.
@ClaudeDevs
Designing loops with Fable 5
@RLanceMartin
Had Claude Fable 5 log network packets and display them as cars on a highway, different car types = different packet types
@bijanbowen
This is a super exciting release - Claude Fable 5 is the same underlying model as Mythos but with added safeguards. The benchmarks are great and it's SOTA on everything by a margin but I'll add that *qualitatively* also, this is a major-version-bump-deserving step change forward (imo of the same order as Claude 4.5 was in November), peaking especially for long problem-solving sessions on very difficult problems. You can give it a lot more ambitious tasks than what you're used to, the model "gets it" and it will just go, and it's never felt this tempting to stop looking at the code at all (but don't do this in prod!). The model still has quirks that people will run into and the safeguards are configured to be a little too trigger happy for launch, which can hopefully be tuned over time. I feel a lot of things changing as working software increasingly comes out on a tap. The Jevon's paradox kicks in and I feel my own demand for software growing substantially. You can ask for anything - explainers, visualizers, dashboards, bespoke single-use apps (e.g. a full wandb that is hyper-specific just for your project), you can 10X your test suite, auto-optimize code, run giant research projects with custom HTML for the results, anything! "Free your mind" (Matrix ref). Really looking forward to all the things people build!
@karpathy