BlueDot Narrated

Audio versions of blogs and papers from BlueDot courses.

Our Charter describes the principles we use to execute on OpenAI’s mission. 

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Source:
https://openai.com/charter--- 

Narrated by TYPE III AUDIO.

A podcast by BlueDot Impact.

Audio versions of blogs and papers from BlueDot courses.

We’ve created OpenAI LP, a new “capped-profit” company that allows us to rapidly increase our investments in compute and talent while including checks and balances to actualize our mission. 

The original text contained 1 footnote which was omitted from this narration.

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Source:
https://openai.com/blog/openai-lp--- 

Narrated by TYPE III AUDIO.

A podcast by BlueDot Impact.

Audio versions of blogs and papers from BlueDot courses.

International institutions may have an important role to play in ensuring advanced AI systems benefit humanity. International collaborations can unlock AI’s ability to further sustainable development, and coordination of regulatory efforts can reduce obstacles to innovation and the spread of benefits. Conversely, the potential dangerous capabilities of powerful and general-purpose AI systems create global externalities in their development and deployment, and international efforts to further responsible AI practices could help manage the risks they pose. This paper identifies a set of governance functions that could be performed at an international level to address these challenges, ranging from supporting access to frontier AI systems to setting international safety standards. It groups these functions into four institutional models that exhibit internal synergies and have precedents in existing organizations: 1) a Commission on Frontier AI that facilitates expert consensus on opportunities and risks from advanced AI, 2) an Advanced AI Governance Organization that sets international standards to manage global threats from advanced models, supports their implementation, and possibly monitors compliance with a future governance regime, 3) a Frontier AI Collaborative that promotes access to cutting-edge AI, and 4) an AI Safety Project that brings together leading researchers and engineers to further AI safety research. We explore the utility of these models and identify open questions about their viability.

Source:

https://arxiv.org/pdf/2307.04699.pdf

Narrated for AI Safety Fundamentals by Perrin Walker of TYPE III AUDIO.

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A podcast by BlueDot Impact.

Audio versions of blogs and papers from BlueDot courses.

People who want to improve the trajectory of AI sometimes think their options for object-level work are (i) technical safety work and (ii) non-technical governance work. But that list misses things; another group of arguably promising options is technical work in AI governance, i.e. technical work that mainly boosts AI governance interventions. This post provides a brief overview of some ways to do this work—what they are, why they might be valuable, and what you can do if you’re interested. I discuss: Engineering technical levers to make AI coordination/regulation enforceable (through hardware engineering, software/ML engineering, and heat/electromagnetism-related engineering) Information security Forecasting AI development Technical standards development Grantmaking or management to get others to do the above well Advising on the above.

Original text:

https://forum.effectivealtruism.org/posts/BJtekdKrAufyKhBGw/ai-governance-needs-technical-work

Narrated for AI Safety Fundamentals by TYPE III AUDIO.

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A podcast by BlueDot Impact.

Audio versions of blogs and papers from BlueDot courses.

This post summarizes the way I currently think about career choice for longtermists. I have put much less time into thinking about this than 80,000 Hours, but I think it’s valuable for there to be multiple perspectives on this topic out there.

Edited to add: see below for why I chose to focus on longtermism in this post.

While the jobs I list overlap heavily with the jobs 80,000 Hours lists, I organize them and conceptualize them differently. 80,000 Hours tends to emphasize “paths” to particular roles working on particular causes; by contrast, I emphasize “aptitudes” one can build in a wide variety of roles and causes (including non-effective-altruist organizations) and then apply to a wide variety of longtermist-relevant jobs (often with options working on more than one cause). Example aptitudes include: “helping organizations achieve their objectives via good business practices,” “evaluating claims against each other,” “communicating already-existing ideas to not-yet-sold audiences,” etc.

(Other frameworks for career choice include starting with causes (AI safety, biorisk, etc.) or heuristics (“Do work you can be great at,” “Do work that builds your career capital and gives you more options.”) I tend to feel people should consider multiple frameworks when making career choices, since any one framework can contain useful insight, but risks being too dogmatic and specific for individual cases.)

For each aptitude I list, I include ideas for how to explore the aptitude and tell whether one is on track. Something I like about an aptitude-based framework is that it is often relatively straightforward to get a sense of one’s promise for, and progress on, a given “aptitude” if one chooses to do so. This contrasts with cause-based and path-based approaches, where there’s a lot of happenstance in whether there is a job available in a given cause or on a given path, making it hard for many people to get a clear sense of their fit for their first-choice cause/path and making it hard to know what to do next. This framework won’t make it easier for people to get the jobs they want, but it might make it easier for them to start learning about what sort of work is and isn’t likely to be a fit.

Source:

https://forum.effectivealtruism.org/posts/bud2ssJLQ33pSemKH/longtermist-career-choice

Narrated for AI Safety Fundamentalsby TYPE III AUDIO.

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A podcast by BlueDot Impact.

Audio versions of blogs and papers from BlueDot courses.

This is a quickly written post listing opportunities for people to apply for funding from funders that are part of the EA community.  … 

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First published:
October 26th, 2021 

Source:
https://forum.effectivealtruism.org/posts/DqwxrdyQxcMQ8P2rD/list-of-ea-funding-opportunities--- 

Narrated by TYPE III AUDIO.

A podcast by BlueDot Impact.

Audio versions of blogs and papers from BlueDot courses.

Expertise in China and its relations with the world might be critical in tackling some of the world’s most pressing problems. In particular, China’s relationship with the US is arguably the most important bilateral relationship in the world, with these two countries collectively accounting for over 40% of global GDP.1 These considerations led us to publish a guide to improving China–Western coordination on global catastrophic risks and other key problems in 2018. Since then, we have seen an increase in the number of people exploring this area.

China is one of the most important countries developing and shaping advanced artificial intelligence (AI). The Chinese government’s spending on AI research and development is estimated to be on the same order of magnitude as that of the US government,2 and China’s AI research is prominent on the world stage and growing.

Because of the importance of AI from the perspective of improving the long-run trajectory of the world, we think relations between China and the US on AI could be among the most important aspects of their relationship. Insofar as the EU and/or UK influence advanced AI development through labs based in their countries or through their influence on global regulation, the state of understanding and coordination between European and Chinese actors on AI safety and governance could also be significant.

That, in short, is why we think working on AI safety and governance in China and/or building mutual understanding between Chinese and Western actors in these areas is likely to be one of the most promising China-related career paths. Below we provide more arguments and detailed information on this option.

If you are interested in pursuing a career path described in this profile, contact 80,000 Hours’ one-on-one team and we may be able to put you in touch with a specialist advisor.

Source:

https://80000hours.org/career-reviews/china-related-ai-safety-and-governance-paths/

Narrated for AGI Safety Fundamentals by Perrin Walker of TYPE III AUDIO.

A podcast by BlueDot Impact.

Audio versions of blogs and papers from BlueDot courses.

(Last updated August 31, 2022) Summary and Introduction One potential way to improve the impacts of AI is helping various actors figure out good AI strategies—that is, good high-level plans focused on AI.  To support people who are interested in that, we compile some relevant career i 

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Source:
https://aisafetyfundamentals.com/governance-blog/ai-strategy-careers--- 

Narrated by TYPE III AUDIO.

A podcast by BlueDot Impact.

Audio versions of blogs and papers from BlueDot courses. 

I carried out a short project to better understand talent needs in AI governance. This post reports on my findings.

How this post could be helpful:

• If you’re trying to upskill in AI governance, this post could help you to understand the kinds of work and skills that are in demand.
• If you’re a field-builder trying to find or upskill people to work in AI governance, this post could help you to understand what talent search/development efforts are especially valuable.

Source:

https://aisafetyfundamentals.com/governance-blog/some-talent-needs-in-ai-governance

Narrated for AI Safety Fundamentals by Perrin Walker of TYPE III AUDIO.

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A podcast by BlueDot Impact.

Audio versions of blogs and papers from BlueDot courses.

People who want to improve the trajectory of AI sometimes think their options for object-level work are (i) technical safety work and (ii) non-technical governance work. But that list misses things; another group of arguably promising options is technical work in AI governance, i.e. technical work that mainly boosts AI governance interventions. This post provides a brief overview of some ways to do this work—what they are, why they might be valuable, and what you can do if you’re interested. I discuss:

• Engineering technical levers to make AI coordination/regulation enforceable (through hardware engineering, software/ML engineering, and heat/electromagnetism-related engineering)
• Information security
• Forecasting AI development
• Technical standards development
• Grantmaking or management to get others to do the above well
• Advising on the above
• Other work

Source:

https://aisafetyfundamentals.com/governance-blog/ai-governance-needs-technical-work

Narrated for AI Safety Fundamentals by Perrin Walker of TYPE III AUDIO.

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A podcast by BlueDot Impact.