A lot of people are creating prompts and setups to simulate Fable, so I gathered the best ideas and turned them into a Skill. Take a look and see whether it is useful for you. If it is not, please tell me why. I want to understand what is missing so I can improve it. Fable Mode makes the model work with a more disciplined methodology on complex tasks. It enforces a five-stage workflow: 1. Scope — understand the objective, expected deliverable, constraints, and what could go wrong. 2. Evidence — verify facts, files, sources, and assumptions before reaching conclusions. 3. Attack — challenge the plan itself, looking for weaknesses, risks, and overlooked issues. 4. Verification — test and validate the result before declaring it complete. 5. Reporting — explain what was done, what was validated, and what limitations remain. It also guides the model to: - use stronger models for planning and review; - use lower-cost models for straightforward execution; - choose the appropriate reasoning effort level; - avoid unnecessary clarification questions; - never rely solely on memory; - turn successful workflows into reusable methods. In one sentence: Fable Mode doesn't change the AI's intelligence—it changes how the AI plans, verifies, and delivers its work. It is especially valuable for research, strategy, software development, project analysis, and any task where mistakes can significantly impact the final outcome.

Kimi K3 has reshaped the AI race by bringing Chinese open models closer to the best American closed models. Key points: - Kimi K3 is said to have achieved approximately 98% of Fable 5’s capabilities, but at a price similar to Sonnet 5. - In some programming benchmarks, it reportedly outperformed GPT‑5.6 and even Fable 5. - In practical comparisons, it delivered similar or superior quality in web pages, 3D experiences, WebGL, maps, galaxies, and minigames. - Its main disadvantage appears to be speed: in one test, it took 240 seconds, compared with 80 seconds for Fable 5. - On the other hand, it could cost between one-third and one-fifth as much. - This is reportedly already leading companies—including major corporations—to consider migrating from OpenAI and Anthropic to Kimi. - If its model weights are fully released, companies will be able to run it on their own infrastructure, reducing their dependence on closed providers. The video’s most important reflection is not simply about which model won. It is about the rapidly falling cost of intelligence. According to the creator, the cost of obtaining the same level of capability is decreasing by a factor of 30 to 40 each year. With advanced intelligence becoming cheap and widely available, we could deploy dozens or even hundreds of agents to perform intellectual tasks. This would transform: - The value of human labor. - The service economy. - Software production. - Consulting and research. - Scientific development. - The structure of many jobs. - Even if AI models stopped improving today, society would still take decades to fully explore everything they can already do. Therefore, the new bottleneck would no longer be model intelligence, but its distribution and integration into society. In one sentence: Kimi K3 is not just another model; it suggests that intelligence approaching the best closed systems could become open, affordable, and available to almost everyone—disrupting the AI market and the value of intellectual labor.

Hi guys I'm new here, but it hurts me to see Agent Zero falling back so bad I do not see even a slightest video hype anymore on Youtube, every where you check is "Hermes Agent this Hermes Agent that", and as much as I respect it(Hermes), I know that there is actually nothing like Agent Zero, Once the Agent Zero be able to merge A0 and Space Agent together and make a full Desktop one click setup .exe and stop depending too much on Docker for sandbox, there will be nothing on AI Universe that can stand a chance against Agent Zero ever again, make an ultimate killer fix that really matters, and desktop/web browser total dominant Agent Zero via CLI or a full desktop A0 version without sandbox( some of us do not need that)

I've been using Hermes Agent for a few months. It's a free open source AI assistant that handles your tools. The key to really improving it was using Printing Press. Printing Press creates a clean command-line interface (CLI) for nearly anything from a simple prompt. Instead of loading heavy systems that slow down your agent, your agent uses fast CLIs. The best part is that it works even with tools that have no API. You can point it at a website or an internal tool, and it figures out the CLI for you. Where it gets interesting: LinkedIn restricts its API, but Printing Press created a CLI for it. My agent can now find prospects, send connection requests, and follow up all by itself. You can replace slow, resource-heavy systems with quick CLIs, keeping your agent fast and inexpensive. There is a library of ready-made CLIs that you can install with one command. You can find options for CRM, marketing, travel, development tools, and more. You can even combine multiple CLIs in one request instead of manually connecting APIs. I want to reassure you that for anything involving messages or real conversations, like direct messages or comments, it always checks with me first. It waits for my approval before sending anything. I stay in control of that part. The setup can be a bit frustrating, which is why I'm sharing this. I've done it enough times that I'm happy to set yours up for you, completely free. If you're stuck with a tool that has no API and it keeps taking up your time, this is the solution you need. Tool: printingpress.dev Just comment or send me a direct message, and I'll get you started.

This is our first major release after the UI redesign of the version 1 line, and it's really three things shipping together. 1. A0 Launcher (our new product) A desktop app for Windows, macOS and Linux. It manages your local and remote Agent Zero instances from one place, and, for anyone just starting, it onboards new users with an installer that sets up the container runtime automatically. You don't need to understand Docker to get running. Visit https://www.agent-zero.ai and look right above the install scripts. There is a download link for your platform and a link to a Launcher first run guide. - Mac Intel - https://github.com/agent0ai/a0-launcher/releases/download/v0.9/a0-launcher-0.9-macos-x64.dmg - Linux x86 - https://github.com/agent0ai/a0-launcher/releases/download/v0.9/a0-launcher-0.9-linux- - Windows x86 - https://github.com/agent0ai/a0-launcher/releases/download/v0.9/a0-launcher-0.9-windows-x64.exe ARM64 - Mac Apple Silicon - https://github.com/agent0ai/a0-launcher/releases/download/v0.9/a0-launcher-0.9-macos-arm64.dmg - Linux ARM64 - https://github.com/agent0ai/a0-launcher/releases/download/v0.9/a0-launcher-0.9-linux-arm64.AppImage - Windows ARM64](https://github.com/agent0ai/a0-launcher/releases/download/v0.9/a0-launcher-0.9-windows-arm64.exe) | 2. Agent Zero Core v2.0 The engine itself: native Responses API transport (with chat-completions fallback), inspectable parallel tool calls, project-scoped MCP configuration with search and scanning, a Skills Scanner for checking packages before import, and a refreshed WebUI across welcome, composer, settings, mobile and the shared canvas. Full changelog at https://github.com/agent0ai/agent-zero/releases