Labs To Legends (l2l) is a mission-driven applied AI research lab that brings together AI scientists, engineers, university researchers, and founders. Our projects span AI ethics, artists' rights, education, healthcare, economic impact, government, and science. We apply AI to help solve pressing global problems while nurturing talent from university labs into socially impactful startups.
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We operate at the intersection of education, innovation, and entrepreneurship.
Our two flagship programs connect
mission-driven talent with real-world AI problem-solving opportunities.
UNIVERSITY COLLABORATORS
Program 1: Experiential Learning Lab
Students work on applied AI challenges — from ethical media to climate resilience. Participants gain technical and entrepreneurial experience while contributing to projects that matter.
Program 2: AI Startup Incubator
We identify promising student teams and invite them into our AI startup studio. Participants become co-founders of ventures tackling global challenges with ethical AI at the core.
Stories and projects currently underway internally and across our partner network, including Cal Poly, NYU, UC Santa Barbara, UC Irvine, UC Riverside, UCLA, and UC San Diego.
Every Person a Caseworker: How Labs to Legends Is Rethinking Civic AI for Vulnerable Populations
A new commercial industry has emerged to make AI-generated music undetectable. It is eroding the royalty system that supports working artists.
As AI agents begin negotiating on our behalf across civic and community networks, the question of how much they should reveal about us is not a technical edge case. It is a design decision with real consequences for real people
Sound Ethics is leading a multi-university initiative to establish responsible research practices for AI generative music. l2l is contributing infrastructure, software, and coordination support across the collaboration.
New data entering early 2026 shows that entry-level hiring has contracted sharply and that AI is reshaping which tasks require an entry level hire at all.
In multi-agent AI systems, the bottleneck isn't storage, it's attention.
The shift in AI music volume between the start of 2025 and the start of 2026 has been nothing short of a deluge.
Negotiated equilibria may help AI agents coordinate scarce community resources without destabilizing the systems they serve.
Our Mission
At Labs to Legends, we believe AI can — and must — be used to create a better world.
We are committed to safety, transparency, interdisciplinary collaboration, and open innovation.
Whether in a classroom or a boardroom, we aim to inspire a generation of responsible AI leaders.
Real Impact in Action
This case study highlights how Labs to Legends supports Sound Ethics in building a responsible AI music ecosystem. By providing research infrastructure, university partnerships, platform tooling, and program coordination, l2l helps Sound Ethics scale its multi-institution 2026 Music Industry Research Initiative focused on licensing, attribution, governance, and ethical AI standards for music.
Whether you’re a student, educator, founder, or partner — there’s a way to build with us.
