@omarsar0: Own your intelligence stack, folks. You can't scale a company to the frontier by renting intelligence. Custom models, h…
Summary
The tweet emphasizes the need for companies to own their AI intelligence stack, including custom models, harnesses, and evaluations, rather than renting, with a quote from Gabe Pereyra discussing challenges at Harvey.
View Cached Full Text
Cached at: 09/22/26, 07:57 PM
Own your intelligence stack, folks.
You can’t scale a company to the frontier by renting intelligence.
Custom models, harnesses, and evals are becoming huge assets. And if you’re building something new, you might want to consider working on any one of these, or a combination of them.
Gabe Pereyra (@gabepereyra): The hardest thing about building @harvey is doing what’s best for our customers despite immense pressure to do what’s easy.
The easy thing would have been to force our customers onto consumption pricing before they were ready and serve them worse models to protect our margins.
Similar Articles
@omarsar0: It is already happening at a subscale indeed! And the more you own your intelligence stack (model, harness, evals), the…
The tweet discusses the increasing prevalence of subscale AI and encourages businesses to build their intelligence stack and processes now to scale with future advanced AI models and agents.
@rauchg: Own your intelligence. Anyone that opposes this has something to sell you (perhaps your own intelligence back to you.) …
rauchg argues for owning your AI stack by running local models and embracing open source, urging users to control their harness, data, connections, runtime, and agents rather than letting others resell their intelligence.
@omarsar0: Own your intelligence. How? Start by building specialized models using agents. @oumi_ai does this well. It creates the …
Tweet highlighting Oumi AI as a platform that lets you build specialized models using agents, including data generation, recipe creation, model weights, evaluators, and deployment.
@omarsar0: Own your intelligence stack, folks! This chart could mean so many different things without raw details. I suspect more …
推文讨论企业与开发者应构建自有“智能栈”,并指出强化学习(RL)正释放出新的商业机会,结合当前已有的强大模型可用于众多现实任务。
@jianxliao: That's why OSS models are so important, along with the stack to adopt those OSS models for domain-specific tasks, run t…
Emphasizes the importance of open-source AI models for domain-specific tasks, local deployment, and continuous improvement, advocating for owning intelligence rather than renting it.