I've been working hard to make Taico's onboarding not suck. I'm happy to say you can try it now for free on your machine! 100% free, open source, local. Provider agnostic. Model agnostic.
Head over to the repo's readme for the one-liner launcher: https://t.co/eeNs3cS34W
Hope you like it ♥️
@niccruzpatane@Tesla_AI Does it work though? Early release to a few people for less than 1 day. We don't really know its shortcomings.
Amazing how the narrative shifted from "HW3 robotaxi next year" every year since 2018 to "amazing they managed to distill a model"
@RhysSullivan Totally agree. People confuse the presentation layer for the tool. That’s a smell.
Biggest point against cli is the need for a shell. So many software guys don’t see this problem.
@omarsar0 Loop is the wrong primitive. The primitive is a desired outcome. A task. That belongs to a card with all relevant decisions and traces attached to it.
Work gets done by agents that react to status changes on the card.
Loops or workflows are emergent behaviour. Don’t force it.
Introducing the Open Knowledge Format (OKF), an open specification that formalizes the LLM-wiki pattern into a portable, interoperable format.
AI is only as smart as the context we give it. As we build more advanced, agentic AI systems, they need accurate metadata and context to be useful. But in most organizations, that context is locked inside fragmented data catalogs, isolated wikis, scattered code comments, or the minds of senior engineers. Every time a new AI agent is built, teams are forced to solve the exact same context-assembly problem from scratch.
To solve this, we've announced OKF, a vendor-neutral, open specification that formalizes the "LLM-wiki pattern" into a portable, interoperable format. It provides a standardized way to represent the enterprise knowledge that modern AI systems rely on.
— Just markdown: readable in any editor, renderable on GitHub, indexable by any search tool
— Just files: shippable as a tarball, hostable in any git repo, mountable on any filesystem
— Just YAML frontmatter: for the small set of structured fields that need to be queryable: type, title, description, resource, tags, and timestamp
We’ve also shipped reference implementations to help you hit the ground running, including an enrichment agent for BigQuery, a static HTML visualizer, and live sample bundles on @github → https://t.co/ilhAMCrcTc
➕ Knowledge Catalog can now natively ingest OKF!
Stop reinventing data models and building bespoke integrations for every new AI tool. Here's more about how OKF works → https://t.co/FR4kJRsgEH
@David_McMahon75 This is so that in 15 years they can say they’re making the system fairer by taxing everything 30% minimum. Income, investments, what have you. Because the status quo is broken.