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Imbue’s Ambitious Journey: Raising $200M to Enhance AI Reasoning Capabilities

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Imbue - We build AI systems

A Billion-Dollar Valuation

Imbue, previously recognized as Generally Intelligent, has successfully secured $200 million in a Series B funding round. This impressive feat has catapulted the company’s valuation to over a billion dollars. Notable participants in this funding round include Astera Institute, Nvidia, Cruise CEO Kyle Vogt, and Notion Co-Founder Simon Last. With this recent influx, Imbue’s total funding has reached $220 million, positioning it prominently among other well-funded AI startups.

The Vision: AI Systems that Reason and Code

Imbue’s mission is clear: to develop AI systems that not only reason but also code. Their aim is to harness the power of AI to achieve broader objectives in the world. The company’s unwavering commitment is to create practical AI agents that can efficiently and safely operate in real-world scenarios.

From 3D Worlds to Robust Reasoning

Initially, Imbue’s strategy was centered around researching the core principles of human intelligence that machines currently lack. They intended to transform these “fundamentals” into a series of tasks and then evaluate various AI models based on their ability to learn and solve these tasks within intricate 3D worlds. However, there has been a shift in their approach. Instead of focusing solely on 3D worlds, Imbue is now channeling its efforts towards developing models that are “internally useful.” This includes models capable of coding, similar to platforms like GitHub Copilot and Amazon CodeWhisperer.

The Distinctive Edge: Robust Reasoning

What sets Imbue’s models apart from the rest is their unparalleled ability to “robustly reason.” The company firmly believes that reasoning is the primary obstacle to creating effective AI agents. Robust reasoning encompasses various skills, such as handling uncertainty, adapting strategies, gathering new information, making informed decisions, and navigating the unpredictable nature of the real world.

Code as a Catalyst for Improved Reasoning

Imbue posits that coding is not just a tool but a crucial use case that can significantly enhance reasoning capabilities. They argue that models trained on code are more adept at reasoning compared to those that aren’t. This perspective aligns with other industry players like Adept, which is focused on automating any software process.

Tailor-Made Models for Reasoning

Imbue’s models are custom-designed for reasoning. They are trained on data that promotes good reasoning patterns and utilize techniques that prioritize compute during inference time. This ensures that the models arrive at solid conclusions and actions. Furthermore, Imbue is leveraging Nvidia’s expertise by training their models on a compute cluster co-designed by Nvidia, equipped with 10,000 GPUs from Nvidia’s H100 series.

Laying the Groundwork for the Future

While Imbue is not currently focused on commercializing much of its work, the company views its current projects as foundational steps towards improving future, more versatile AI. They envision a platform where individuals can craft their own custom models, harnessing the immense potential of AI.

In conclusion, Imbue’s recent funding and its dedication to enhancing AI reasoning capabilities underscore the company’s commitment to pushing the boundaries of what AI can achieve. The future looks promising for Imbue and the broader AI industry.

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