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