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Institute for Progress (IFP): The Launch Sequence is sponsored by Institute for Progress (IFP). Offers an honorarium and funder matchmaking for short pitches for projects preparing for advanced AI, including in alignment, control, evaluations, and AI security.
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The Launch Sequence | Institute for Progress AI advances over the next few years could catalyze a new golden age of discovery and abundance. To realize this potential, we must solve two broad problems. First, these benefits may not come by default or quickly enough, given existing commercial incentives.
Second, rapidly improving AI capabilities will likely come with risks that industry isn’t sufficiently incentivized to solve. The Launch Sequence is a collection of essays, written by expert authors, describing concrete but ambitious AI projects to accelerate progress in science and security. You can start by reading our introductory essay , or scroll down to view the whole collection.
Request for Proposals: The Launch Sequence Apply to our rolling effort to find, scope, and build the most important projects to prepare the world for advanced AI Tao Burga , Jonah Weinbaum , Dan Turner-Evans , Tim Fist , and Jay Kim An introduction to The Launch Sequence: Why shaping AI progress matters, and how to go about it Tim Fist , Tao Burga , and Tim Hwang Despite a recent wave of new public, private, and nonprofit projects focused on AI for science, we are still not close to fully harnessing new AI capabilities to accelerate solutions to the world’s most important problems.
Furthermore, too little effort is focused on solving the numerous structural barriers to realizing the benefits of AI-enabled scientific discovery. The deployment of new clean energy technologies will likely face a near-endless series of vetoes at the hands of conservation groups. New drugs will likely be stalled for years in the FDA’s needlessly onerous approval process.
Thanks to a mix of poor incentives and antiquated government computer systems, many useful scientific datasets aren’t accessible for AI training. And public research is hampered by a broken funding model, in which principal investigators spend almost half their time on grant-related paperwork.
The proposals here cover both object-level projects in AI for science, and projects aimed at re-structuring how science works to take advantage of AI.
Benchmarking for Breakthroughs How to incentivize AI for national priorities through a strategic challenge and evaluations program Séb Krier and Zhengdong Wang Using X-Labs to Unleash AI-Driven Scientific Breakthroughs How to adapt our science funding mechanisms to the unique infrastructure needs of large-scale AI projects How to build automated replication infrastructure for better, faster science Abel Brodeur and Bruno Barbarioli Scaling Materials Discovery with Self-Driving Labs How to close the gap between AI-guided material design and real-world validation Unlocking a Million Times More Data for AI How a new ARPANET-style program could solve the data accessibility problem Andrew Trask and Lacey Strahm Teaching AI How Science Actually Works How block-grant labs can generate the real-world data AI needs to do science Mapping the Brain for Alignment How to map the mammalian brain’s connectome to solve fundamental problems in neuroscience, psychology, and AI robustness Adam Marblestone and Andrew Payne A Million-Peptide Database to Defeat Antibiotic Resistance How to build a large peptides database to train the AlphaFold for new antibiotics How to fuel AI by unlocking the FDA’s knowledge of biotech failures Statements from leaders across government, industry, and civil society about the importance of launching ambitious AI projects to advance science and security “AI stands to rapidly accelerate the rate of scientific progress.
It is extremely important that the United States act now to establish and maintain a lead in AI-enabled scientific discovery. ” Co-Founder and CEO of FutureHouse “Now more than ever, we need to unleash a new era of scientific discovery that stabilizes our grid, cures diseases, and keeps our country safe.
The American Science Acceleration Project (ASAP) seeks to do just that by leveraging AI and other technologies to accelerate scientific progress by 10 times by 2030, using our best and brightest minds from across the country to make that happen. I am grateful that the Institute for Progress has coordinated the development of AI Moonshot proposals to help guide ASAP’s efforts.
” “The guardrails that we put in place for state-of-the-art AI models are essential, and that science is imperfect at best. The national security ecosystem 100% needs to lean into new AI technology, but part of leaning into that technology is figuring out how to make those guardrails safe and trustworthy, and that’s an area where the research must go much faster than it has been.
” Director of DARPA’s Information Innovation Office (I2O) “AI holds enormous potential to speed the pace of scientific breakthroughs. The United States should remain at the frontier of scientific discovery, ensuring that AI enables new advances while managing the risks that attend ever more powerful AI systems. This collection usefully articulates specific, concrete ways to do just that.
” CEO of the Center for a New American Security (CNAS) “AI is the key to unlock a new era of scientific discovery—where we don’t just accelerate progress, we redefine what’s possible. For the United States, it will empower us to tackle our biggest challenges with speed, precision, and imagination. The Launch Project will provide us that imagination.
” General Manager of US Public Policy at Microsoft, former Policy Director for Sen. Chuck Schumer “AI represents the most significant force multiplier for scientific research in generations. The key is channeling this power toward solving our most pressing challenges while building the robust institutions and safeguards needed to ensure American leadership remains both effective and responsible.
” President and Co-Founder of Americans for Responsible Innovation, former Congressman (D-OK) “Maintaining U.S. leadership in AI will require out-innovating our competitors, not just at the level of the technology itself, but also in its most promising downstream applications.
To that end, the Launch Sequence offers a collection of concrete yet ambitious proposals to unlock the transformative potential of AI for scientific discovery and national security.
Combined, these proposals offer a compelling agenda for securing AI’s enormous potential upside while safeguarding against emerging threats, from autonomous labs for discovering new materials, to scalable methods for patching vulnerabilities in our critical infrastructure. ” Chief Economist at the Foundation for American Innovation “In 2019, AI models could barely babble.
Six years and 100,000x more compute later, we have systems that assist software engineers, answer STEM questions, and solve complex math problems. Remarkably, we now have a clear roadmap for AI to revolutionize science and the economy within the next decade—a transformation every nation should prepare for. ” “AI offers vast potential not just to accelerate but to utterly transform science in ways we cannot yet imagine.
Either we harness this potential to American advantage or we risk seeing it accrue to someone else’s. Yet the AI‑science revolution won’t happen on autopilot—we need concrete policy actions that set the right incentives and safeguards, and to ensure that it accelerates real progress. ” CEO of the Federation of American Scientists “We already know people will use the full power of AI to make really great cat videos.
The question of whether we will fully exploit AI to advance living standards by obliterating the obstacles to rapid scientific and technological progress, however, remains open.
” Head of Strategic Investments at the Astera Institute, former Chief Economist at the Abundance Institute “AI is bringing about a new era of scientific progress, helping address critical challenges from treating diseases to developing new materials to generate, store and transform energy. We must urgently invest in a healthy AI ecosystem to harness these opportunities while carefully navigating potential risks.
” Vice President of Science and Strategic Initiatives, Google DeepMind “AI has the potential to supercharge scientific inquiry, but this isn’t just about scientific progress. Getting AI for science right means ensuring AI breakthroughs happen in America, benefit American workers, and secure American technological dominance for the next generation.
” Executive Director of American Compass “As the pace of technological progress continues to accelerate, it’s more important than ever for American science to meet that moment with creativity and ambition.
From super-charging our understanding of the building blocks of human life to driving innovation in the very ways we approach the work of science itself, The Launch Sequence brings an important and refreshing sense of optimism and possibility to an AI-accelerated world.
” Assistant Director for Technology, Innovation, and Partnerships at the National Science Foundation (NSF) “The combination of AI reasoning models and cloud-enabled, automated laboratories will enable new approaches to scientific discovery. The US should lead in exploring this new frontier as there will be permanent gains to the first mover.
” Co-founder and CEO of Gingko Bioworks, former Chair of US National Security Commission on Emerging Biotechnology “AI stands to rapidly accelerate the rate of scientific progress. It is extremely important that the United States act now to establish and maintain a lead in AI-enabled scientific discovery.
” Co-Founder and CEO of FutureHouse “Now more than ever, we need to unleash a new era of scientific discovery that stabilizes our grid, cures diseases, and keeps our country safe. The American Science Acceleration Project (ASAP) seeks to do just that by leveraging AI and other technologies to accelerate scientific progress by 10 times by 2030, using our best and brightest minds from across the country to make that happen.
I am grateful that the Institute for Progress has coordinated the development of AI Moonshot proposals to help guide ASAP’s efforts. ” “The guardrails that we put in place for state-of-the-art AI models are essential, and that science is imperfect at best.
The national security ecosystem 100% needs to lean into new AI technology, but part of leaning into that technology is figuring out how to make those guardrails safe and trustworthy, and that’s an area where the research must go much faster than it has been. ” Director of DARPA’s Information Innovation Office (I2O) “AI holds enormous potential to speed the pace of scientific breakthroughs.
The United States should remain at the frontier of scientific discovery, ensuring that AI enables new advances while managing the risks that attend ever more powerful AI systems. This collection usefully articulates specific, concrete ways to do just that. ” CEO of the Center for a New American Security (CNAS) “AI is the key to unlock a new era of scientific discovery—where we don’t just accelerate progress, we redefine what’s possible.
For the United States, it will empower us to tackle our biggest challenges with speed, precision, and imagination. The Launch Project will provide us that imagination. ” General Manager of US Public Policy at Microsoft, former Policy Director for Sen.
Chuck Schumer “AI represents the most significant force multiplier for scientific research in generations. The key is channeling this power toward solving our most pressing challenges while building the robust institutions and safeguards needed to ensure American leadership remains both effective and responsible.
” President and Co-Founder of Americans for Responsible Innovation, former Congressman (D-OK) “Maintaining U.S. leadership in AI will require out-innovating our competitors, not just at the level of the technology itself, but also in its most promising downstream applications.
To that end, the Launch Sequence offers a collection of concrete yet ambitious proposals to unlock the transformative potential of AI for scientific discovery and national security.
Combined, these proposals offer a compelling agenda for securing AI’s enormous potential upside while safeguarding against emerging threats, from autonomous labs for discovering new materials, to scalable methods for patching vulnerabilities in our critical infrastructure. ” Chief Economist at the Foundation for American Innovation “In 2019, AI models could barely babble.
Six years and 100,000x more compute later, we have systems that assist software engineers, answer STEM questions, and solve complex math problems. Remarkably, we now have a clear roadmap for AI to revolutionize science and the economy within the next decade—a transformation every nation should prepare for. ” “AI offers vast potential not just to accelerate but to utterly transform science in ways we cannot yet imagine.
Either we harness this potential to American advantage or we risk seeing it accrue to someone else’s. Yet the AI‑science revolution won’t happen on autopilot—we need concrete policy actions that set the right incentives and safeguards, and to ensure that it accelerates real progress. ” CEO of the Federation of American Scientists “We already know people will use the full power of AI to make really great cat videos.
The question of whether we will fully exploit AI to advance living standards by obliterating the obstacles to rapid scientific and technological progress, however, remains open.
” Head of Strategic Investments at the Astera Institute, former Chief Economist at the Abundance Institute “AI is bringing about a new era of scientific progress, helping address critical challenges from treating diseases to developing new materials to generate, store and transform energy. We must urgently invest in a healthy AI ecosystem to harness these opportunities while carefully navigating potential risks.
” Vice President of Science and Strategic Initiatives, Google DeepMind “AI has the potential to supercharge scientific inquiry, but this isn’t just about scientific progress. Getting AI for science right means ensuring AI breakthroughs happen in America, benefit American workers, and secure American technological dominance for the next generation.
” Executive Director of American Compass “As the pace of technological progress continues to accelerate, it’s more important than ever for American science to meet that moment with creativity and ambition.
From super-charging our understanding of the building blocks of human life to driving innovation in the very ways we approach the work of science itself, The Launch Sequence brings an important and refreshing sense of optimism and possibility to an AI-accelerated world.
” Assistant Director for Technology, Innovation, and Partnerships at the National Science Foundation (NSF) “The combination of AI reasoning models and cloud-enabled, automated laboratories will enable new approaches to scientific discovery. The US should lead in exploring this new frontier as there will be permanent gains to the first mover.
” Co-founder and CEO of Gingko Bioworks, former Chair of US National Security Commission on Emerging Biotechnology Declarations do not imply endorsement of any particular policy in the collection AI progress may bring risks that industry is poorly incentivized to solve.
Advanced coding agents used throughout the economy to vastly increase productivity could also be put to work, day and night, to find and exploit security vulnerabilities in critical infrastructure. AI systems that can broadly accelerate the pace of medical research could also help engineer biological weapons.
Leading AI labs have some incentives to prevent the misuse of their models, but the offense-defense balance of emerging AI capabilities in areas like cyber and bio is uncertain. There’s no iron law of computer science or economics that says defensive capabilities will grow in tandem with offensive capabilities.
In the worst case, private incentives to adequately invest in preventing misuse could be dwarfed by the scale of the risks new AI technologies impose on the public. Proposals from the AI safety community often attract criticism for focusing on solutions that rely on brittle, top-down control, such as a licensing regime for all models above a threshold of training compute.
But despite the validity of these critiques, the problem still remains: AI misuse and misalignment could well cause real harm in the near future, and technical research aimed at solving these problems remains a niche field. Moreover, thanks partly to an instinct towards nonproliferation, AI safety researchers have devoted insufficient attention to solutions that assume that dangerous AI capabilities will rapidly diffuse.
In the face of superintelligence, both widely available and too cheap to meter, too few projects wield AI to build technologies that asymmetrically benefit defense over offense. The proposals here are aimed at accelerating the defensive and verification technologies we need to safely transition to a world of ubiquitous advanced AI.
Scaling Pathogen Detection with Metagenomics How to generate the data necessary to reliably detect new pathogen outbreaks with AI How to leverage advanced AI to give defenders an asymmetric advantage in cybersecurity How to secure critical open-source code against memory safety exploits by automating code hardening at scale Herbie Bradley and Girish Sastry A Sprint Toward Security Level 5 How to protect American AI from nation-state level threats Preventing AI Sleeper Agents How to ensure American AI models are robust and reliable via a DOD-led red- and blue-teaming effort How to use AI and mathematics to prove and improve science and security Faster AI Diffusion Through Hardware-Based Verification How to use privacy-preserving verification in the AI hardware stack to build trust and limit misuse Nora Ammann and David ‘davidad’ Dalrymple Each month, we’ll send you a monthly roundup of IFP research, news, and updates.
Key questions and narrative sections extracted from the solicitation.
Short pitch (200-400 words) addressing one of three focus areas: accelerating science, strengthening security, or adapting institutions
Scoring criteria used to review proposals for this grant.
Based on current listing details, eligibility includes: Individuals or teams with short pitches for projects preparing for advanced AI. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates $10,000 honorarium plus funder matchmaking Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
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Digital Cities' Innovation Accelerator Small Grant Program is sponsored by U.S. State Department's Bureau of Cyberspace and Digital Policy (CDP). These small grants activate the private sector to deliver novel and innovative solutions to civic challenges. Projects must address a sub-national public service or infrastructure need AND incorporate trusted U.S. digital based solutions, empowering municipalities to improve public service delivery.
This NOFO provides an opportunity to all FY 2018 NIST SBIR Phase I awardees to submit a Phase II application following completion of Phase I. This NOFO provides instructions for FY 2019 NIST SBIR Phase II application preparation and submission requirements. In Phase II, work from Phase I that exhibits potential for commercial application is further developed. Phase II is the R&D or prototype development phase. To apply for a Phase II award, each Phase I awardee will be required to submit a comprehensive application outlining the proposed research and a detailed plan to commercialize the final product. Each NIST Phase II award is for up to $400,000 and up to a 24-month period of performance. One year after completing the Phase II R&D activity, the awardee shall be required to report on its commercialization activities. Up to an additional $6,500 may be requested for Technical and Business Assistance (TABA); see Section 5.11 for more information about TABA. Funding Opportunity Number: 2019-NIST-SBIR-02. Assistance Listing: 11.620. Funding Instrument: CA. Category: ST. Award Amount: Up to $400K per award.
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.