Fabric is an open-source framework for augmenting humans using AI
The GitHub repository for the `fabric` framework empowers users to integrate AI effectively. It provides setup instructions, components like Mill and Patterns, and AI agents like PraisonAI, enhancing creativity and utility.
Read original articleThe GitHub repository for the `fabric` framework offers insights into its purpose and functionality. `fabric` aims to facilitate the integration of AI into various tasks, emphasizing the empowerment of users to leverage AI effectively. The framework's philosophy centers on enhancing human creativity through technology. Users can quickly get started with `fabric` by following setup instructions provided. The ecosystem comprises components like Mill, Patterns, Stitches, and Looms, all themed around fabric-related concepts. Custom patterns can be created and utilized locally. The addition of AI agents through PraisonAI enhances the framework's capabilities. Helper apps such as `yt` for YouTube API functions and `ts` for audio transcriptions expand its utility. The repository also acknowledges contributors to the project. Overall, the `fabric` repository offers a detailed overview of the framework's features and functionalities.
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This is something missing from the discussion around AI. There is fatalism or skepticism about AI capabilities vs human usefulness but very little positive philosophy about using AI to augment human capabilities rather than replace them. Even if automating everything were possible it doesn’t mean we need to and I’d argue that we should not want to.
You write words. Merge your context in. What possible need is there for any library?
- [0]: https://news.ycombinator.com/user?id=d0mine
- [1]: https://news.ycombinator.com/item?id=40893147
- [2]: https://pypi.org/project/fabric/
- [3]: https://www.fabfile.org/
Everyone knows it would be better to fly, i.e. go up one layer and build generic public infra instead. But then they just float off into the obligatory-xkcd-verse: https://xkcd.com/927/
One big distinction in the 1962 time period is that they thought of “machine intelligence” as being a kind of complimentary set of thinking tools that could be “symbiotic” to how humans were able to think. They were not at all thinking about something like a slave or a major domo, but something more like a research assistant or a “Memex” (the latter was a big influence on Doug’s thinking).
In the very late 60s the “official AI researchers” started to think that something like “intelligent Greek slaves” were needed for the “Romans” (Americans), and became rivals to Doug’s notion of elevating human thinking rather than just elevating power. This was a bad idea then … and it’s a bad idea today.
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