All the world is changing around technology and you may contribute a line of code. What will yours be? Subscribe for startup advice, founder stories, and a look inside Y Combinator. What is Y Combinator? We invest $500,000 in every startup and work intensively with the founders for three months. For the life of their company, founders have access to the most powerful community in the world, essential advice, later-stage funding and programs, recruiting resources, and exclusive deals. Visit ycombinator.com to learn more.
Founders often stall by overthinking startup ideas or waiting for the perfect "founder-market fit," but meaningful progress requires committing to a single direction to generate real-world data. Effective validation involves "burning the other boats" to focus exclusively on one concept, achieving such deep domain exper...
AI research is shifting toward self-improving systems, formal verification, and agentic workflows that transcend human-generated data. Scaling laws hold across diverse domains; in protein biology, sequence-based models like ESM achieve structural insights without hand-crafted features by leveraging evolutionary data. S...
The inaugural YC Paper Club convenes founders and researchers to examine critical advancements in AI inference, robotics, and model training. Tanishq Kumar introduces Speculative Speculative Decoding, an algorithm that parallelizes drafting and verification to achieve substantial speedups in token generation. Stanis pr...
Building superintelligence within an organization requires shifting from using AI as a mere copilot to treating it as the foundational layer for all operations. By centralizing organizational context into a single, accessible database and implementing a shared tool registry, companies empower employees to encode comple...
Garry Tan, CEO of Y Combinator, details his return to software development after a 13-year hiatus, enabled by agentic AI tools like Claude Code. Adopting a "tokenmaxxing" philosophy—prioritizing high-volume model usage to achieve comprehensive research and code generation—has allowed him to ship hundreds of thousands o...
Recursion at inference time provides a viable alternative to scaling model size for enhancing AI reasoning. Unlike standard LLMs that rely on one-shot feed-forward processes, Hierarchical Reasoning Models (HRM) and Tiny Recursive Models (TRM) utilize iterative computation to tackle incompressible tasks like Sudoku and ...
Artificial General Intelligence (AGI) requires advancements in continual learning, long-term reasoning, and memory beyond current large-scale pre-training architectures. While existing models demonstrate impressive capabilities, they often rely on brute-force methods that lack the efficiency of biological systems. Agen...
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