Lossfunk

We're a lab based in Bangalore, India focused on foundational questions in AI and beyond. Read our charter to learn more.

Programs

Research Fellowship (for pre-doc and post-docs): 1 year full time fellowship based out of Bangalore
Research Internship (for students): 3 to 6 months internship for undergraduate and graduate students interested in AI research
Residency (for curious minds): a 6 week, on-site, curiosity-led exploration into AI and related topics

Lab's focus

We're interested in foundational questions in AI and beyond:

Nature of reality: is there a mathematical multiverse? can the anthropic principle prove it?
Self-actualizing patterns: How does "self" come into existence? what does agency look like in abstract spaces?
Intelligence in brain: how to model brain dynamics? what can we learn from "odd" phenomena in brain (like illusions, dreams, etc)?
Consciousness: what is consciousness? what can we learn from unconventional minds (such as an ant colony)?
Learning representations: is manifold hypothesis true? how do deep networks learn representations?
AI (general intelligence): what is artificial general intelligence, and how to create it?
AI (safety): is orthogonality thesis false? what can homeostatis teach us about AI safety?
AI (deep learning): how to solve continual learning? how to achieve sample efficiency?
AI (agents): how to create agents that can do long-horizon tasks without getting derailed?
AI accelerated science: how to accelerate science with AI? what tools and systems are needed?
Novelty creation by AI: how to mathematically model novelty?
Philosophy: can we use AI to answer what is beauty, ethics, and other philosophical questions?

Check out this spreadsheet for the full list of research questions Lossfunk is interested in.

Papers

Bias in AI • Language Models Entangle Language and Culture [Language Models for Underserved Communities Workshop at AAAI, 2026]
Ethics • Building Interpretable Models for Moral Decision-Making [Machine Ethics Workshop at AAAI, 2026]
Theory • Small-Gain Nash: Certified Contraction to Nash Equilibria in Differentiable Games [Arxiv, 2026]
AI for science • METIS: Mentoring Engine for Thoughtful Inquiry & Solutions [AI for Scientific Research Workshop at AAAI, 2026]
AI for science • Why LLMs Aren't Scientists Yet: Lessons from Four Autonomous Research Attempts [Arxiv, 2026]
LLMs • Future Is Unevenly Distributed: Forecasting Ability of LLMs Depends on What We're Asking [Assessing and Improving Reliability of Foundation Models Workshop at AAAI, 2026]
LLMs • The Sequential Edge: Inverse-Entropy Voting Beats Parallel Self-Consistency at Matched Compute [Efficient Reasoning Workshop at NeurIPS, 2025]
LLMs • Think Just Enough: Sequence-Level Entropy as a Confidence Signal for LLM Reasoning [Foundations of Reasoning Models Workshop at NeurIPS, 2025]
LLMs • IPO: Your Language Model is Secretly a Preference Classifier [ACL main conference, 2025]

Releasing soon

Benchmarks • ISO-Bench: Can Coding Agents Optimize Real-World Inference Workloads? [preprint out soon]
World Models • See, Symbolize, Act: Grounding VLMs with Spatial Representations for Better Gameplay [preprint out soon]
Philosophy • Metaphysical Concepts Should Be Judged by Consequences [preprint out soon]
LLMs • Structured In-Context Learning for Extremely Low-Resource Languages: A Case Study on Tulu [LoResLM 2026 (EACL) workshop]
Consciousness • AI Consciousness Requires Validated Models of Human Consciousness [preprint out soon]
LLMs • EsoLang-Bench: Evaluating Genuine Reasoning in Large Language Models via Esoteric Programming Languages [preprint out soon]
Continual Learning • Topological Quantized Memory for Continual Learning [preprint out soon]
Sample Efficiency • How Many Games Make a Master? Confidence-Guided Curricula for Efficient Chess Learning [preprint out soon]
Agents • Automated Stateful Specialization for Adaptive Agent Systems [ICLR, 2026]

To get notified when we post preprints of our papers, join our Whatsapp community (we post ~1x/week).

Talks

We regularly host talks on AI and related topics at our office in Bangalore and online.

You can access our past talks on our YouTube channel

To get notified about upcoming talks, join our Whatsapp community (we post ~1x/week).

About

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.

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Stay curious :)

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^^^ World #25 player in chess

Testimonials