​AI Scientists: The Next S-Curve of Discovery-

​A Private Founder & Investor Dinner

​Hosted by Shahid Azim, Managing Partner — C10 Labs

​For centuries, scientific progress has been constrained by a simple reality:

​Human intelligence was the bottleneck.

​That assumption may be beginning to change.

​At Google I/O, DeepMind CEO Demis Hassabis suggested that we are “standing in the foothills of the singularity.” While such claims remain controversial, one thing is becoming increasingly clear: AI is evolving from a tool that assists scientists into a system that may eventually participate in discovery itself.

​We are entering a new era where AI systems can generate hypotheses, design experiments, discover patterns across vast datasets, and increasingly contribute novel scientific insights. The implications extend far beyond research laboratories. They challenge how we think about innovation, company creation, intellectual property, and competitive advantage.

​To explore what this shift means for founders, investors, researchers, and industry leaders, C10 Labs is convening a small invitation-only dinner discussion.

​Dinner Theme

​From AI for Science to AI Doing Science

​For the past decade, the most impactful scientific AI systems have been highly specialized tools:

• ​AlphaFold for protein folding

• ​WeatherNext for climate prediction

• ​Foundation models trained for biology, chemistry, and materials science

​But a new paradigm is emerging.

​Agentic AI systems are increasingly capable of:

• ​Generating hypotheses

• ​Conducting literature reviews

• ​Designing experiments

• ​Writing code

• ​Optimizing algorithms

• ​Identifying novel research directions

​The question is no longer whether AI can accelerate science.

​The question is:

​What happens when AI becomes a scientific collaborator—and eventually, perhaps, a scientist in its own right?

​Key Questions for Discussion

​What Becomes Possible?

• ​Which scientific domains are most likely to be transformed first?

• ​Where will AI create entirely new categories of discovery?

• ​What breakthroughs become achievable when intelligence itself becomes scalable?

​Where Should Capital Be Deployed?

• ​Are the greatest opportunities in scientific foundation models?

• ​AI-native laboratories?

• ​Autonomous research systems?

• ​AI-enabled drug discovery and biology platforms?

• ​Infrastructure for machine-driven experimentation?

​How Will Venture Creation Change?

• ​What new company formation models emerge?

• ​Will startups increasingly begin with AI-generated discoveries?

• ​How will intellectual property evolve in an era of machine-assisted invention?

• ​What becomes the moat when discovery itself is increasingly automated?

​What Remains Uniquely Human?

• ​What role will scientists play over the next decade?

• ​How should humans and AI collaborate?

• ​Where do judgment, creativity, and intuition remain essential?

​Who Should Attend

• ​Founders building at the frontier of AI, science, and biology

• ​Venture Capital and Corporate Venture Leaders

• ​Researchers and Academic Leaders

• ​Pharmaceutical and Healthcare Innovation Executives

• ​Family Offices and LPs interested in the future of science and technology

​Format

​A curated dinner conversation among peers exploring one of the most consequential questions of our time:

​What happens when intelligence itself becomes a scalable resource?

​The goal is not to predict the future, but to better understand where the next generation of venture-scale companies, scientific breakthroughs, and investment opportunities will emerge.

​Space is intentionally limited to encourage a candid, high-signal discussion.