Lossfunk: the AI lab for independent researchers
Hi! I'm Paras, founder of Lossfunk. I'm a newly-minted AI researcher [my Google Scholar profile] and a builder [my GitHub profile]. Previously, I founded Wingify, bootstrapped it to $50mn ARR and then exited to a private equity group.
Now, with Lossfunk, I'm building an AI research lab for curious people and independent researchers.
Programs
- Initialize (for independent researchers): conduct AI research towards achieving a crazy or ambitious goal. Join our community, get GPU/resources for your project
- Residency (for curious minds): a 6 week, on-site, curiosity-led exploration into AI and related topics
- Research Internship (for students): internship for those who are exploring a career in AI research (on their way to a PhD, or independent research)
Projects underway
- World models for games: Can an AI learn to play a game (with minimal data) purely from its imagination?
- AI scientist: How science will be done if we (re)invented it today with AIs
- AI engineer: Can an AI system solve hard AI/ML engineering problems autonomously?
- Multilingual reasoning: Do models reason with similar accuracy across languages?
- Reasoning in vision models: Can we get reasoning in vision models?
- AI forecaster: Can we get AI to predict how future events will turn out?
- AI trader: Can we get AI to trade stocks and other financial instruments?
- AI x Philosophy: How can we use AI to explore philosophical questions?
- AI x Bio: Can we get AI to learn about genomics and biological systems?
- India@ML: papers by Indian teams accepted in top AI/ML conferences
Areas of interest
Reach out to us, if you're interested in the following topics:
- General intelligence
- World models: Learning world models efficiently from limited data
- Continual learning: How to use previously learned knowledge to learn new things
- Abstractions: What kind of abstractions are needed to build general intelligence?
- Meta-learning: How to learn to learn?
- Accelerating science with AI
- What's the future of science and how do we accelerate it?
- What AI-shaped holes exist in science and how can we fill them?
- Novelty creation by AI systems
- Open-endeness: how do you create endless novelty?
- Measuring and grounding novelty in real world
- Novelty as a path towards self-improving AI systems
- Emergent cognitive systems
- Intelligence in natural phenomena like evolution, life, and brains
- Representations, abstractions, computation landscape, and manifolds
- Self-organization, multi-agent systems, and artificial life
Publications and articles
Talks
We regularly host talks on AI and related topics at our office in Bangalore. You can see our past talks on our youtube channel.
To get notified about upcoming talks, join our Whatsapp community.
Links
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Stay curious :)
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