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TLDR; Setting up a shared skills capability is the easiest first step towards becoming an AI native company. This is a practical guide on how to do it correctly. Introduction Skills are one of the
TLDR; this is both a "how to" guide to get started with fine-tuning as well as a detailed explanation on how I spent $3 to fine tune a small open source model that beat a production system using more
This is the most important question for the AI industry right now: Can AI capability create economic value fast enough to justify the capital being deployed ahead of it? That's it. Everything else,
TLDR; this is the companion to my decentralized inference piece where we look at the other half of the AI equation - training. We cover what's at stake, what makes it hard, and the projects solving
TLDR; Fable is a token beast so if you're not careful you'll hit limits super quick or run up a big API bill. This has all the tips to optimize your setup so you use Fable strategically, not as an
Preface: It's October 2026, 4 months from now, GLM-6 was just released and it beats Fable-5.1 (the neutered re-release of the banned model) and it鈥檚 at par with Mythos on all the major benchmarks.
I keep coming back to one assumption that only some people are starting to say out loud. The entire buildout - the data centers, the chips, the trillion-plus dollars of committed capital, the large
TLDR; OpenServ looks like a crypto project - it has a token, a live app that accepts crypto for credits, an x402 agent market. But, alongside all that is a real enterprise AI company with a serious
TLDR; with Pearl Network and Nockchain getting a lot of attention lately, "Proof of Useful Work" has become a hot topic again, so I dug deep to lay it all out for you - from the history of the term,
TLDR: this is your definitive guide to all things related to memory systems for Hermes Agent. Why create this? Because every week I see new posts or articles describing some new memory tool for Hermes
In case you didn't see the headlines, both OpenAI and Anthropic announced new dedicated enterprise AI deployment companies on May 4, 2026 - the same exact day. In this article I breakdown each deal -
TLDR; I believe inference demand is going to continue to explode so I did a comprehensive survey across every consumer LLM inference provider I could find - this article covers the 26 you should know.