Open-source AI model Inkling monetizes via customization, mirroring Slate Auto's truck strategy

In June, Slate Auto unveiled the Blank Slate, a $24,950 electric pickup truck with minimal features: no paint, no stereo, no speakers, no touchscreen, and hand-crank windows. The vehicle is intentionally stripped to its essentials, functioning as a blank canvas for customer customization. The strategy invites buyers to personalize and add value themselves, with Slate monetizing through accessories rather than a fully featured base product.

A month later, in July, Thinking Machines Lab released Inkling, a 975B-parameter AI model trained from scratch on 45 trillion tokens. Like Slate's truck, Inkling is deliberately general-purpose—the article notes that if models were colors, "this one would be the gray," emphasizing its lack of specialization. Inkling's spider chart shows it performs competently across many domains rather than excelling in a single area. The entire model is open source, released under an Apache-2.0 license.

Thinking Machines monetizes Inkling not through the model itself, but through Tinker, a fine-tuning platform the company operates. The model weights are free to access and use, but customers who want to customize Inkling for their specific use case pay for fine-tuning services on Tinker. This transforms the open-source release into a sustainable business model: customers get a capable, general-purpose base at no cost, then pay for the service of adapting it to their needs. The article frames this as a direct parallel to Slate Auto's accessories strategy—both companies shift revenue from the base product to customization. This approach, the article argues, demonstrates how open-source AI companies can fund development and remain viable while still releasing their work freely.

The article presents a strategic parallel between two companies pursuing what it calls a 'blank slate' model: ship a deliberately unremarkable, general-purpose base at a low price, then monetize through customization. Slate Auto's approach—a $24,950 electric pickup with no paint, stereo, speakers, or touchscreen—strips the vehicle to its essentials and invites buyers to add value themselves through accessories. Thinking Machines applies the same logic to open-source AI: Inkling is described as a generalist model, "good in many domains," released as a foundation "ready to be customized." The key insight is that open-source AI labs need a path to sustainability. By keeping the base model free and charging for the customization service (fine-tuning via Tinker), Thinking Machines solves the business model problem that has traditionally plagued open-source software—how to generate revenue when the core product is given away. This strategy positions Inkling not as a competitor to proprietary models on raw capability, but as a building block for customers who want to adapt it to their own needs.

No comments yet. Be the first to share your thoughts!