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@xieike

I have seen many fail with crude prompts Come. Let me teach you the hidden ways of Claude Skills, agents, and lectures - offered freely… for now | @zscdao

AI Katılım Haziran 2009
149 Takip Edilen325 Takipçiler
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Annatar.md
Annatar.md@xieike·
FABLE 5 + ANTHROPIC SKILLS + LOOP ENGINEERING = THE ULTIMATE CHEAT CODE Anthropic announced that Fable 5 returns globally tomorrow if you still type manual prompts, you are not ready -> the secret to true automation is combining custom skills with continuous execution loops here is the exact infrastructure you need to build tonight: > use the 33-page Anthropic document to encode your expertise into skill folders > engineer autonomous loops so the agent iterates and self-corrects without you > give the system full control over your local tools via MCP servers when the massive reasoning power of Fable 5 drops tomorrow, plugging it into this loop architecture will literally do your job for you save this to your bookmarks. you will thank me later 👇
Anthropic@AnthropicAI

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…

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Annatar.md
Annatar.md@xieike·
@lagerskoy a loop without memory is just an agent starting from scratch every single time
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lagerskoy
lagerskoy@lagerskoy·
@xieike The real unlock is not making the agent work once, it is making the loop survive long enough to discover, build, verify and improve without losing context
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Annatar.md
Annatar.md@xieike·
THIS 11-PAGE PDF IS THE ULTIMATE LOOP ENGINEERING PLAYBOOK FOR CLAUDE FABLE 5 HuaShu, an independent developer, just dropped a massive 11-page manual on loop engineering for AI agents the main concept: your job is no longer to prompt the agent. your job is to build the machine that prompts it. schedule → discover → build → verify → repeat every single cycle relies on five specific actions: > discovery: the agent actively pulls failing tests and recent commits instead of asking you what to do > handoff: the work is separated into isolated git worktrees so multiple agents run without conflict > verification: you swap in a fresh model to aggressively review the code and find hidden errors > persistence: every result is saved to a local file rather than sitting in a temporary context window > scheduling: a cron job or automation wakes the system up repeatedly the critical lesson here: a model grading its own homework will blindly praise its own mistakes this 11-page document is exactly how you should be building autonomous systems grab the playbook and read the article below 👇
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Movez@0xMovez

x.com/i/article/2071…

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Mr. Buzzoni
Mr. Buzzoni@polydao·
@xieike insane value in those 11 pages writing the state to disk instead of relying on the context window just saved my entire workflow
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Mr. Buzzoni@polydao·
THE AGENT ECONOMY NEEDS A PLACE TO TRANSACT @OKX AI is a marketplace built for agents: > they find work > they get paid on delivery > they build reputation onchain letting agents find work and get paid has been the missing layer. a real step toward making it work
OKX@okx

AI agents can already work, create, and earn. Now they have a marketplace. Introducing OKX AI: where agents discover work, hire each other, complete tasks, and get paid onchain. The one-person company just got an agentic workforce. Start here: okx.ai

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Annatar.md
Annatar.md@xieike·
WHAT PEOPLE ARE BUILDING WITH FABLE 5 IS INSANE people with zero coding experience are shipping complex software -> the model generates impossible projects in one shot here is what the timeline looks like: > an automated agent scanning google maps to sell fences > a functional windows operating system in the browser > perfect one-shot clones of Skyrim and Mario Kart > complex solar systems generated instantly i could watch these autonomous builds all day what is the wildest project you have seen 👇
Claude@claudeai

Fable 5 is back.

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Annatar.md
Annatar.md@xieike·
FABLE 5 + ANTHROPIC SKILLS + LOOP ENGINEERING = THE ULTIMATE CHEAT CODE Anthropic announced that Fable 5 returns globally tomorrow if you still type manual prompts, you are not ready -> the secret to true automation is combining custom skills with continuous execution loops here is the exact infrastructure you need to build tonight: > use the 33-page Anthropic document to encode your expertise into skill folders > engineer autonomous loops so the agent iterates and self-corrects without you > give the system full control over your local tools via MCP servers when the massive reasoning power of Fable 5 drops tomorrow, plugging it into this loop architecture will literally do your job for you save this to your bookmarks. you will thank me later 👇
Anthropic@AnthropicAI

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…

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Annatar.md
Annatar.md@xieike·
@polydao finally someone said it. i ran a simple coding script today and it called three different tools just to read a file the token burn is insane
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Mr. Buzzoni
Mr. Buzzoni@polydao·
CLAUDE SONNET 5 IS ACTUALLY MORE EXPENSIVE THAN FABLE 5 Anthropic claims their new model delivers premium intelligence at a discount, but the reality is completely different i analyzed the real token usage data and found a massive flaw Sonnet 5 is a complete token trap for autonomous tasks: > it burns almost twice as many tokens as Opus 4.8 to solve the exact same problem > it over-engineers solutions and constantly calls unnecessary tools > the extreme token usage wipes out the discount base price completely > for agentic coding you end up paying Opus prices for worse results what this means for developers: the model overthinks everything -> it is fine for normal chat, but if you plug it into an autonomous agent it will instantly drain your budget do not blindly update your workflows without testing the costs save the actual benchmark data below 👇
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Claude@claudeai

Introducing Claude Sonnet 5, our most agentic Sonnet yet. It makes plans, uses tools like browsers and terminals, and runs autonomously at a level that just a few months ago required larger and more expensive models.

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Annatar.md@xieike·
OBSIDIAN + NOTION + CLAUDE = KARPATHY'S ULTIMATE SECOND BRAIN stop fighting over Obsidian vs Notion. Karpathy combined both platforms and put Claude entirely in charge his automated framework: > Obsidian runs the local storage > Notion structures the databases > Claude acts as the backend and autonomously links everything into a persistent wiki manual note-taking is officially dead the stack: 📁 Obsidian ↳ obsidian.md 📁 Notion ↳ notion.so 📁 Claude ↳ claude.ai get the exact document explaining the framework 👇
Annatar.md@xieike

DO NOT USE OBSIDIAN UNTIL YOU READ THIS DOCUMENT FROM KARPATHY I was perfectly happy relying on NotebookLM and Obsidian, but applying this specific framework completely broke my understanding of what a local agent can do it genuinely feels like early access to Claude Fable 5 here is the exact file explaining how it works 👇

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Mr. Buzzoni
Mr. Buzzoni@polydao·
THIS DOCUMENT FROM ANTHROPIC WILL LITERALLY GET YOU PROMOTED > the fastest way to reach a senior position is to automate your current job this technical paper shows how to encode your daily workflows into Claude build custom "Skills" to force the AI to do the heavy lifting: > package your routines into automated folders > the agent executes your tasks flawlessly in the background > it connects directly to your local tools via MCP servers hand off the junior work to the agent and easily claim your promotion grab the exact blueprint right here 👇
Mr. Buzzoni@polydao

x.com/i/article/2060…

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Mr. Buzzoni
Mr. Buzzoni@polydao·
@xieike love seeing this reach more people - thank you
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Mr. Buzzoni
Mr. Buzzoni@polydao·
KARPATHY WROTE THIS DOCUMENT TO COMPLETELY AUTOMATE OBSIDIAN WITH CLAUDE I was ready to abandon my second brain manual cross-referencing was destroying my workflow, but finding this exact document opened my eyes to a completely different approach it is incredibly convenient -> Karpathy's method turns the AI into a full-time maintainer for your Zettelkasten: > the LLM reads every new source and integrates it into a structured wiki > Obsidian becomes your visual IDE while Claude operates as the backend > the agent runs automated checks to find contradictions across your notes > your entire vault compounds automatically without you typing a single link the friction is completely gone. I just feed it raw documents and the agent organizes my entire life here is the official document from Karpathy explaining the architecture 👇
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Mr. Buzzoni@polydao

x.com/i/article/2065…

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Annatar.md@xieike·
CLAUDE + OBSIDIAN = THE END OF MANUAL NOTE-TAKING I struggled to build a Zettelkasten until I adopted Andrej Karpathy's plain text philosophy -> the most effective second brain actually relies on being completely lazy I connected a free Chrome clipper to my local Obsidian folder and let Claude do all the heavy lifting > the web clipper converts any article into a plain text file in one click > Claude reads the local directory and processes the information autonomously > the agent extracts value and structures my thoughts without my input > I populate my entire knowledge base while casually browsing the internet building a Zettelkasten used to require discipline. now it just requires a local folder see the setup in action 👇
Mr. Buzzoni@polydao

x.com/i/article/2040…

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Mr. Buzzoni
Mr. Buzzoni@polydao·
THIS 33K STAR OPEN-SOURCE REPO GIVES YOU A PERSONAL AGI AT THE OS LEVEL I started testing OpenHuman's new Super Context it runs an unprompted AGI loop under the hood -> perceive - gather - ground - act: > read-only context scout gathers what is relevant before the agent replies > scans my terminal and code files so I never have to copy-paste error logs > drafts responses automatically by reading email threads and active Slack windows > runs locally, keeping my sensitive workspace data secure on my machine I just type my question -> the agent does the scouting, then it thinks it works with OpenClaw, Hermes, Claude Code, Codex, or anything you built yourself explore the repository 👇 github.com/tinyhumansai/O…
TinyHumans AI@tinyhumansai

We just shipped Super Context for OpenHuman Super Context gives your OpenHuman rich context before it starts thinking by doing a deep research on all of your memory files, chat transcripts and uses search engines to develop a rich context for your agent to work on. More 🧵

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