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googrish@googrish

“don’t train your own model” is common ai advice. it's wrong. your token bill's the proof. today, we’re excited to launch castform into open preview. castform is the easiest way for you to train your own model, on your own data. open-weights models are performant and much cheaper. when trained on your task & proprietary data, they beat closed models. the thing standing between you and that was weeks of plumbing & years of ml expertise. with castform, model training is as simple as prompt engineering. @castformai bring your agent traces or raw corpora. castform turns it into training data, picks the right algorithmic recipes, manages gpus, and gives you an ide to watch and chat with your model as it learns. see what you can build with castform👇

“don’t train your own model” is common ai advice.
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“don’t train your own model” is common ai advice.

Castform co-founder Girish Kumar introduces a platform for fine-tuning open-source AI models on private data. Through a playful interview with Kasty, an AI mascot, the video explains training costs, data needs, hallucination reduction, and automatic model updates.

Views
463.1K
Likes
2.6K
Replies
231
Reposts
229
Quotes
91
Bookmarks
2.8K
Topics
Custom AI TrainingOpen-Weight ModelsReinforcement LearningAI Cost SavingsAI

Analysis

Castform co-founder Girish Kumar introduces a platform for fine-tuning open-source AI models on private data. Through a playful interview with Kasty, an AI mascot, the video explains training costs, data needs, hallucination reduction, and automatic model updates.

Formats
Founder interviewProduct explainerLaunch announcement
Topics
Custom AI TrainingOpen-Weight ModelsReinforcement LearningAI Cost Savings
Categories
Artificial IntelligenceDeveloper ToolsProduct Launch

Visual hook

How the visuals workThe visuals directly illustrate the script: Girish presents the product in a clean studio while a CGI mascot represents Kasty, the trained AI model. On-screen labels and a mock search interface reinforce the interview questions and technical explanations.
As written
“don’t train your own model” is common ai advice. it's wrong. your token bill's the proof.
From the post
  1. 01
    The Contrarian Hook

    Challenge widely accepted advice and point to a concrete cost or result as evidence.

  2. 02
    The Launch

    Announce the product or offering and state its simple core promise.

  3. 03
    The Problem and Advantage

    Explain why the proposed approach is valuable, then name the expertise or workflow barrier it removes.

  4. 04
    The Feature Payoff and CTA

    Make the process feel simple, list the main capabilities, and invite the audience to explore what they can create.