Recursively Self-Improving AI & AI Neofactories
Also hosting another event on Friday in San Francisco
Building the next generation of software, physical AI, biotech, and deeptech companies
Join Sanscritic for an evening of presentations and discussions on recursively self-improving AI, metareasoning, and AI neofactories.
Most AI systems today complete a task once. The next generation will evaluate their own work, learn from feedback and experiments, improve their reasoning, and recursively produce better models, datasets, algorithms, simulations, and products.
We will explore how metareasoning can act as a control layer for these systems—deciding when to simulate, critique, backtrack, experiment, or involve a human expert.
A key theme will be the rise of AI neofactories: AI-native systems that continuously create and improve intellectual assets such as:
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Simulations
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Datasets
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Models and algorithms
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Product designs
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Scientific hypotheses
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Engineering configurations
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Decision systems
The event will also focus on new startup opportunities created by combining simulation with recursive self-improvement across:
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Enterprise and expert software
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Robotics and physical AI
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Biotech and healthcare
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Deeptech, energy, materials, and industrial systems
Discussion Topics
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What does it mean for an AI system to genuinely improve itself?
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How can simulation lower the cost of building complex AI systems?
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How should self-improving systems be evaluated and controlled?
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Where should human experts remain in the loop?
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What new companies become possible when AI can continuously improve its own outputs and processes?
Who Should Attend
Founders, AI researchers, engineers, domain experts, simulation builders, robotics and biotech teams, and investors interested in the next generation of AI-native companies.
About Sanscritic
Sanscritic builds metareasoning and recursive self-improvement technology for expert work.
Our platform helps organizations build complex reasoning systems, create simulations more easily, and enables specialized AI startups to develop their own self-improving AI products.
Join us to explore the technologies, architectures, and companies that could define the next phase of AI.