Thinking Machines' Inkling: Why Being Average Is the Strategy
Insights from the Fireship episode “This $12 billion startup finally shipped something...”, published July 20, 2026.
In "This $12 billion startup finally shipped something..." (Fireship, July 2026), mira Murati’s startup, Thinking Machines, has released Inkling, an open-weights model that intentionally prioritizes efficiency and honesty over raw intelligence. By introducing a 'thinking effort' dial and training the model to admit uncertainty, they are positioning themselves as the go-to platform for specialized, cost-effective agentic workflows rather than…
In "This $12 billion startup finally shipped something..." (Fireship, July 2026), the intended audience is: AI engineers and developers building agentic workflows who need cost-efficient, fine-tunable models.
Mira Murati’s startup, Thinking Machines, has released Inkling, an open-weights model that intentionally prioritizes efficiency and honesty over raw intelligence. By introducing a 'thinking effort' dial and training the model to admit uncertainty, they are positioning themselves as the go-to platform for specialized, cost-effective agentic workflows rather than competing with frontier models.
AI engineers and developers building agentic workflows who need cost-efficient, fine-tunable models.
Topics: AI, Thinking Machines, LLMs, Open Source, Agentic AI
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Mira Murati’s startup, Thinking Machines, has released Inkling, an open-weights model that intentionally prioritizes efficiency and honesty over raw intelligence. By introducing a 'thinking effort' dial and training the model to admit uncertainty, they are positioning themselves as the go-to platform for specialized, cost-effective agentic workflows rather than competing with frontier models.
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