Effective Altruism Funds: Long-Term Future Fund donations made to Ought

This is an online portal with information on donations that were announced publicly (or have been shared with permission) that were of interest to Vipul Naik. The git repository with the code for this portal, as well as all the underlying data, is available on GitHub. All payment amounts are in current United States dollars (USD). The repository of donations is being seeded with an initial collation by Issa Rice as well as continued contributions from him (see his commits and the contract work page listing all financially compensated contributions to the site) but all responsibility for errors and inaccuracies belongs to Vipul Naik. Current data is preliminary and has not been completely vetted and normalized; if sharing a link to this site or any page on this site, please include the caveat that the data is preliminary (if you want to share without including caveats, please check with Vipul Naik). We expect to have completed the first round of development by the end of March 2022. See the about page for more details. Also of interest: pageview data on analytics.vipulnaik.com, tutorial in README, request for feedback to EA Forum.

Table of contents

Basic donor information

We do not have any donor information for the donor Effective Altruism Funds: Long-Term Future Fund in our system.

This entity is also a donee.

Full donor page for donor Effective Altruism Funds: Long-Term Future Fund

Basic donee information

ItemValue
Country United States
Websitehttps://ought.org
Donors list pagehttps://ought.org/about
Open Philanthropy Project grant reviewhttps://www.openphilanthropy.org/focus/global-catastrophic-risks/potential-risks-advanced-artificial-intelligence/ought-general-support
Org Watch pagehttps://orgwatch.issarice.com/?organization=Ought
Key peopleAndreas Stuhlmüller

Full donee page for donee Ought

Donor–donee relationship

Item Value

Donor–donee donation statistics

Cause areaCountMedianMeanMinimum10th percentile 20th percentile 30th percentile 40th percentile 50th percentile 60th percentile 70th percentile 80th percentile 90th percentile Maximum
Overall 2 10,000 30,000 10,000 10,000 10,000 10,000 10,000 10,000 50,000 50,000 50,000 50,000 50,000
AI safety 2 10,000 30,000 10,000 10,000 10,000 10,000 10,000 10,000 50,000 50,000 50,000 50,000 50,000

Donation amounts by cause area and year

If you hover over a cell for a given cause area and year, you will get a tooltip with the number of donees and the number of donations.

Note: Cause area classification used here may not match that used by donor for all cases.

Cause area Number of donations Total 2019 2018
AI safety (filter this donor) 2 60,000.00 50,000.00 10,000.00
Total 2 60,000.00 50,000.00 10,000.00

Graph of spending by cause area and year (incremental, not cumulative)

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Graph of spending by cause area and year (cumulative)

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Full list of donations in reverse chronological order (2 donations)

Amount (current USD)Amount rank (out of 2)Donation dateCause areaURLInfluencerNotes
50,000.0012019-04-07AI safetyhttps://app.effectivealtruism.org/funds/far-future/payouts/6vDsjtUyDdvBa3sNeoNVvlMatt Wage Helen Toner Matt Fallshaw Alex Zhu Oliver Habryka Donation process: Donee submitted grant application through the application form for the April 2019 round of grants from the Long-Term Future Fund, and was selected as a grant recipient (23 out of almost 100 applications were accepted)

Intended use of funds (category): Organization financial buffer

Intended use of funds: No specific information is shared on how the funds will be used at the margin, but the general description gives an idea: "Ought is a nonprofit aiming to implement AI alignment concepts in real-world applications"

Donor reason for selecting the donee: Donor is explicitly interested in diversifying funder base for donee, who currently receives almost all its funding from only two sources and is trying to change that. Othewise, same reason as with last round of funds https://app.effectivealtruism.org/funds/far-future/payouts/3JnNTzhJQsu4yQAYcKceSi namely "We believe that Ought’s approach is interesting and worth trying, and that they have a strong team. [...] Part of the aim of the grant is to show Ought as an example of the type of organization we are likely to fund in the future."

Donor reason for donating that amount (rather than a bigger or smaller amount): In write-up for previous grant at https://app.effectivealtruism.org/funds/far-future/payouts/3JnNTzhJQsu4yQAYcKceSi of $10,000, donor says: "Our understanding is that hiring is currently more of a bottleneck for them than funding, so we are only making a small grant." The amount this time is bigger ($50,000) but the general principle likely continues to apply
Percentage of total donor spend in the corresponding batch of donations: 5.42%

Donor reason for donating at this time (rather than earlier or later): In the previous grant round, donor had said "Part of the aim of the grant is to show Ought as an example of the type of organization we are likely to fund in the future." Thus, it makes sense to donate again in this round

Other notes: The grant reasoning is written up by Matt Wage and is also included in the cross-post of the grant decision to the Effective Altruism Forum at https://forum.effectivealtruism.org/posts/CJJDwgyqT4gXktq6g/long-term-future-fund-april-2019-grant-decisions (GW, IR) but the comments on the post do not discuss this specific grant.
10,000.0022018-11-29AI safetyhttps://app.effectivealtruism.org/funds/far-future/payouts/3JnNTzhJQsu4yQAYcKceSiAlex Zhu Helen Toner Matt Fallshaw Matt Wage Oliver Habryka Donation process: Donee submitted grant application through the application form for the November 2018 round of grants from the Long-Term Future Fund, and was selected as a grant recipient

Intended use of funds (category): Organizational general support

Intended use of funds: Grantee is a nonprofit aiming to implement AI alignment concepts in real-world applications.

Donor reason for selecting the donee: The grant page says: "We believe that Ought's approach is interesting and worth trying, and that they have a strong team. [...] Part of the aim of the grant is to show Ought as an example of the type of organization we are likely to fund in the future."

Donor reason for donating that amount (rather than a bigger or smaller amount): The grant page says "Our understanding is that hiring is currently more of a bottleneck for them than funding, so we are only making a small grant."
Percentage of total donor spend in the corresponding batch of donations: 10.47%

Donor reason for donating at this time (rather than earlier or later): Timing determined by timing of grant round

Donor thoughts on making further donations to the donee: The grant page says "Part of the aim of the grant is to show Ought as an example of the type of organization we are likely to fund in the future." This suggests that Ought will be considered for future grant rounds

Donor retrospective of the donation: The Long-Term Future Fund would make a $50,000 grant to Ought in the April 2019 grant round, suggesting that this grant would be considered a success