FAR Labs is a coworking hub in downtown Berkeley for organizations and individuals working on AI safety and related issues. Since opening the space in March 2023, we have grown to host approximately 30 members. Our members are primarily drawn from four anchor organizations, but we also host a number of independent researchers and research teams.

Now that our initial setup is complete, we are pleased to announce an open call for applications for individuals or organizations who wish to work from this space.

Our initial aims for FAR Labs:

  • First and foremost it should be a place to do great work. Our members are working on challenging problems, and we want to improve their effectiveness, reduce distractions, and provide a professional environment for them to work in. That includes providing a variety of workspaces (private offices, dedicated desks and hot-desks, general areas), catering, and other office amenities such as a gym.
  • A warm, intellectually generative culture. Having interesting and fun conversations is one of the best parts of working in a shared environment, and championing a culture that enables those interactions is incredibly important to us.
  • Supporting collaborations between members, other alignment organizations, and outside collaborators (e.g. academics, or industry researchers). While membership is tied to actively working on AI safety (technical or governance) or related areas (e.g. field building, advocacy, fundraising), we also want to make a space that’s welcoming to many viewpoints, which we expect to benefit both members and visitors.

FAR AI’s broader mission is to support research and initiatives that promote trustworthy and safe AI systems. FAR Labs is an investment in operations and coordination. By creating research environments and good operational scaffolding, we can accelerate safety research and x-risk reduction across projects and orgs.

For the past six months that’s looked like setting up the space and getting the basics in place (office, food, equipment). Moving into 2024 the Labs team will begin offering programs for members – as well as others in the AI safety ecosystem – for developing relevant skills for research and operational excellence. We’re particularly excited about identifying best practices and providing training to help members in building and scaling high performing teams.

FAR Labs runs at cost/a slight loss[1]; we’re aiming for a fully member supported office and community space.

We are opening for new membership applications. Currently we hope to onboard one to three alignment oriented organizations, and perhaps a handful of independent members[2], aiming for a total membership of 40-50 people. If you’re interested in working from FAR Labs, or would like to learn more, please reach out or apply.

  1. ^

    Programs, external visitors, and workshops will be grant funded, while our ongoing day to day office costs are covered by member dues.

  2. ^

    While we host several independent researchers we do prioritize organizations.

63

0
0

Reactions

0
0
Comments


No comments on this post yet.
Be the first to respond.
Curated and popular this week
LintzA
 ·  · 15m read
 · 
Cross-posted to Lesswrong Introduction Several developments over the past few months should cause you to re-evaluate what you are doing. These include: 1. Updates toward short timelines 2. The Trump presidency 3. The o1 (inference-time compute scaling) paradigm 4. Deepseek 5. Stargate/AI datacenter spending 6. Increased internal deployment 7. Absence of AI x-risk/safety considerations in mainstream AI discourse Taken together, these are enough to render many existing AI governance strategies obsolete (and probably some technical safety strategies too). There's a good chance we're entering crunch time and that should absolutely affect your theory of change and what you plan to work on. In this piece I try to give a quick summary of these developments and think through the broader implications these have for AI safety. At the end of the piece I give some quick initial thoughts on how these developments affect what safety-concerned folks should be prioritizing. These are early days and I expect many of my takes will shift, look forward to discussing in the comments!  Implications of recent developments Updates toward short timelines There’s general agreement that timelines are likely to be far shorter than most expected. Both Sam Altman and Dario Amodei have recently said they expect AGI within the next 3 years. Anecdotally, nearly everyone I know or have heard of who was expecting longer timelines has updated significantly toward short timelines (<5 years). E.g. Ajeya’s median estimate is that 99% of fully-remote jobs will be automatable in roughly 6-8 years, 5+ years earlier than her 2023 estimate. On a quick look, prediction markets seem to have shifted to short timelines (e.g. Metaculus[1] & Manifold appear to have roughly 2030 median timelines to AGI, though haven’t moved dramatically in recent months). We’ve consistently seen performance on benchmarks far exceed what most predicted. Most recently, Epoch was surprised to see OpenAI’s o3 model achi
Rory Fenton
 ·  · 6m read
 · 
Cross-posted from my blog. Contrary to my carefully crafted brand as a weak nerd, I go to a local CrossFit gym a few times a week. Every year, the gym raises funds for a scholarship for teens from lower-income families to attend their summer camp program. I don’t know how many Crossfit-interested low-income teens there are in my small town, but I’ll guess there are perhaps 2 of them who would benefit from the scholarship. After all, CrossFit is pretty niche, and the town is small. Helping youngsters get swole in the Pacific Northwest is not exactly as cost-effective as preventing malaria in Malawi. But I notice I feel drawn to supporting the scholarship anyway. Every time it pops in my head I think, “My money could fully solve this problem”. The camp only costs a few hundred dollars per kid and if there are just 2 kids who need support, I could give $500 and there would no longer be teenagers in my town who want to go to a CrossFit summer camp but can’t. Thanks to me, the hero, this problem would be entirely solved. 100%. That is not how most nonprofit work feels to me. You are only ever making small dents in important problems I want to work on big problems. Global poverty. Malaria. Everyone not suddenly dying. But if I’m honest, what I really want is to solve those problems. Me, personally, solve them. This is a continued source of frustration and sadness because I absolutely cannot solve those problems. Consider what else my $500 CrossFit scholarship might do: * I want to save lives, and USAID suddenly stops giving $7 billion a year to PEPFAR. So I give $500 to the Rapid Response Fund. My donation solves 0.000001% of the problem and I feel like I have failed. * I want to solve climate change, and getting to net zero will require stopping or removing emissions of 1,500 billion tons of carbon dioxide. I give $500 to a policy nonprofit that reduces emissions, in expectation, by 50 tons. My donation solves 0.000000003% of the problem and I feel like I have f
 ·  · 8m read
 · 
In my past year as a grantmaker in the global health and wellbeing (GHW) meta space at Open Philanthropy, I've identified some exciting ideas that could fill existing gaps. While these initiatives have significant potential, they require more active development and support to move forward.  The ideas I think could have the highest impact are:  1. Government placements/secondments in key GHW areas (e.g. international development), and 2. Expanded (ultra) high-net-worth ([U]HNW) advising Each of these ideas needs a very specific type of leadership and/or structure. More accessible options I’m excited about — particularly for students or recent graduates — could involve virtual GHW courses or action-focused student groups.  I can’t commit to supporting any particular project based on these ideas ahead of time, because the likelihood of success would heavily depend on details (including the people leading the project). Still, I thought it would be helpful to articulate a few of the ideas I’ve been considering.  I’d love to hear your thoughts, both on these ideas and any other gaps you see in the space! Introduction I’m Mel, a Senior Program Associate at Open Philanthropy, where I lead grantmaking for the Effective Giving and Careers program[1] (you can read more about the program and our current strategy here). Throughout my time in this role, I’ve encountered great ideas, but have also noticed gaps in the space. This post shares a list of projects I’d like to see pursued, and would potentially want to support. These ideas are drawn from existing efforts in other areas (e.g., projects supported by our GCRCB team), suggestions from conversations and materials I’ve engaged with, and my general intuition. They aren’t meant to be a definitive roadmap, but rather a starting point for discussion. At the moment, I don’t have capacity to more actively explore these ideas and find the right founders for related projects. That may change, but for now, I’m interested in