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Truth-Seeking AI Grants Program is sponsored by The Foundation for Individual Rights and Expression (FIRE) and the Cosmos Institute. This program funds early-stage projects advancing AI tools and systems that support open inquiry, free expression, and truth-seeking. Eligible applicants are developers and researchers working on AI systems that surface counterarguments, flag uncertainty, or promote epistemic freedom.
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Introducing the First Cohort of AI x Truth-Seeking Grant Winners Introducing the First Cohort of AI x Truth-Seeking Grant Winners Meet the 27 builders advancing open inquiry and intellectual freedom in AI AI should empower open inquiry rather than suppress it. We want to support a future where AI works as a partner in truth-seeking. Where it surfaces counter-arguments, flags open questions, and prompts us to check the evidence.
Where errors are chipped away and knowledge grows. Where our freedom and habit to question stays intact and even thrives. That’s why in May, Cosmos Institute and the Foundation for Individual Rights and Expression (FIRE) launched a $1M grants program for AI projects that promote truth-seeking.
From hundreds of applications, this first cohort was selected for clarity of purpose, technical feasibility, and a commitment to truth-seeking. Kickoff call with our AI for Truth-seeking grant recipients The winners will receive $1K–$10K in grants, access to other top thinkers in philosophy and AI, and have 90 days to build a prototype. Top projects will be showcased at an upcoming symposium in Austin, TX.
Our goal is to lower the barrier for bold experimentation, and to accelerate idea and talent development. Argument Debugger by Nada Amin AI that finds gaps in reasoning and suggests repairs Nada is assistant CS professor at Harvard and lead of the Metareflection lab exploring easier, faster and safer programming methods.
Authorship AI by Ross Matican A writing tool that keeps you from over-relying on AI Ross is an ecosystem builder and former reporter for The Information currently focused on tech that expands human agency. BotBicker by Bob Devereux A truth-seeking tournament for LLMs, judged by people Bob is a startup founder, former Amazon Scale Engineer, and free speech advocate looking to improve civil discourse.
BridgingBot by Rose Bloomin A tool to help make contentious online conversations more productive Rose is co-founder and director of Plurality Institute, where she leads research and field-building at the intersection of AI and human cooperation.
A tool to surface hidden logic and deceptive reasoning in AI systems Jiawei is a Network Security PhD student with research interests in machine learning, game theory, and robust multi-agent systems. Concept Tracer by Šimon Král Open-source browser extension that helps examine a concept’s history Šimon is an AI researcher focused on AI preferences and dialogue systems, with experience across research groups and startups.
Effortful by Jasmine Li and Laerdon Kim Writing tool to challenge ideas via visualization and drawing connections Jasmine and Laerdon are AI engineers working on agent evaluations and model honesty, currently studying computer science and english at Cornell.
Identifying AI Politics by Jared Amende with David Rozado Evaluating and adjusting AI responses to political orientation tests David is a computer science associate professor who has done pioneering work investigating political ideologies in LLMs. Jared is his student.
Improving AI Explanation by Rubi Hudson Developing formal incentives for AI to be concise yet accurate Rubi is an economics PhD student at the University of Toronto working on the intersection between microeconomic theory and AI alignment.
Index Network by Seref Yarar A discovery protocol for surfacing competing perspectives Seref is co-founder of Index Network with experience leading engineering teams and building across AI, media, and marketing.
Language Evolution in AI Societies by Ivar Frisch Analysis of if and how cooperative language emerges in AI-AI interactions Ivar is an AI research engineer exploring the philosophy of technology, with experience across industry and academia.
Martingale Training by Tianyi Alex Qiu AI models that avoid belief lock-in via new RL training approaches Tianyi is an AI alignment researcher working on human truth-seeking, and moral progress with multiple paper awards at NeurIPS and ACL.
Metalens by Johanna Einsiedler Open-source scientific research platform with AI and human checks Johanna is a postdoctoral researcher in social data science and machine learning, studying real-life social networks and decision-making.
Perplex by Steven Molotnikov Surfacing hidden goals in closed AI systems using open models Steven is a MIT-affiliated AI alignment researcher who previously engineered fusion energy machines, robots restaurants, and rocket engines.
Policy Explorer by Caleb Maresca An AI tool for analyzing policy impacts and assumptions Caleb is a PhD student researching the intersection of AI and economic systems, with experience as a research scientist intern at Upstart.
Probing AI Truth-telling by Mohammed Mahfoud Measuring AI truthfulness by looking at model internals Mohammed is an AI researcher working on safe-by-design AI and large-scale model safeguards and collaborating with Mila and Anthropic.
Procedural Knowledge Libraries by Hamidah Oderinwale Git-like tools to track the reasoning and thought processes behind code Hamidah is an entrepreneur with experience in policy at Institute for Progress, engineering at Amazon, and collective intelligence research at Topos.
An open-source Wikipedia for exploring truth-seeking in LLMs Jonas is founder of the Equiano Institute, with experience in open-source software development and interdisciplinary research. Reward Hacking Benchmark by Kunvar Thaman Open benchmark that tests LLM agents for reward hacking and deception Kunvar is an ML engineer who has worked on top-tier public AI evaluations, measuring benchmark inflation, and mechanistic interpretability.
Socratic Mirror by Zhongying Qiao AI thought partner that interrogates and invites deeper thinking Zhongying is a senior software engineer on GitHub’s security products team with a background in computer security and network systems.
AI librarian that conducts research and helps people ask better questions Jasmine is an NBC reporter and data journalist, fellow at MIT’s Algorithmic Alignment Group, and MATS scholar in mechanistic interpretability.
SPACE Terminal by Andrew Blevins Open-source interface for multi-perspective conversations with AIs Andrew is a writer and designer focused on tools, protocols and games that support human agency, with a background in media and research.
The Automated Philosopher by Simon Henniger Reasoning and discovery approaches to spur inquiry vs AI answer-finding Simon is an incoming Harvard computer science PhD with a philosophy background, focusing on reflective and genetic algorithms.
TLM-1B by Brandon Duderstadt AI that tracks how word meanings change over time Brandon is founder and CEO of Calcifer Computing, founding CEO of Nomic AI, and Johns Hopkins researcher focused on computational semiotics.
Truth Terminal by Christian McGrew Public ranking of LLMs on intellectual honesty and dissent tolerance Christian is co-founder of BridgeUSA, a network promoting constructive discourse across 75+ universities, and Fulbright Scholar in Taiwan.
TruthLens by Michal Wyrebkowski and Antoni Dziwura A tool that detects censorship by comparing different AI model outputs Michal and Antoni are AI researchers with backgrounds in economics and previous projects spanning AI legal tools and data center research.
When Reasoning Fails by Christopher Merck Tracking where and why reasoning breaks down in chain-of-thought Christopher is a physicist, ML engineer, and smart home hardware co-founder with a current focus on AI reasoning failures. These grants are made possible through our partnership with the Foundation for Individual Rights and Expression (FIRE).
Thank you to the FIRE team for setting up and scaling this program together, and to Prime Intellect for partnering on compute for projects. Applications for the next round of AI for Truth-Seeking grants are now open: — The Cosmos Grants ( Jason Zhao , Zoe Weinberg , Alex Komoroske , Darren Zhu ), and FIRE teams Discussion about this post Liked by Cosmos Institute Great list of people for great purpose.
Writing about the blend of philosophy, ethics, curiosity and technology. Might give the next cohort a try! Liked by Cosmos Institute Start your Substack Get the app Substack is the home for great culture
Based on current listing details, eligibility includes: Developers and researchers working on AI systems that surface counterarguments, flag uncertainty, or promote epistemic freedom. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Typical award: $1,000–$10,000 (larger amounts for exceptional proposals), from a $1 million grant pool (cash + Prime Intellect compute credits) Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
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Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
Past winners and funding trends for this program
Research on Circular Economy, Smart Manufacturing, and Energy-Efficient Microelectronics is sponsored by U.S. Department of Energy (DOE) Advanced Materials & Manufacturing Technologies Office (AMMTO). This funding opportunity supports innovative technology R&D across the manufacturing sector with a focus on circular economy, smart manufacturing, and energy-efficient microelectronics. While the stated deadline for full applications has passed, AMMTO frequently issues similar solicitations, and this highlights a relevant area of interest for the DOE.
Manufacturing USA Institute — AI for Resilient Manufacturing is sponsored by National Institute of Standards and Technology (NIST). This funding opportunity supports the establishment and operation of a new Manufacturing USA institute focused on utilizing artificial intelligence (AI) to enhance the resilience of U.S. manufacturers. The institute will develop cost-effective, AI-based advanced manufacturing capabilities, advance technology development, foster a skilled workforce, and develop shared infrastructure and facilities.