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 July 2024. 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.
We do not have any donee information for the donee Alexander Gietelink Oldenziel in our system.
| Cause area | Count | Median | Mean | Minimum | 10th percentile | 20th percentile | 30th percentile | 40th percentile | 50th percentile | 60th percentile | 70th percentile | 80th percentile | 90th percentile | Maximum |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall | 1 | 30,000 | 30,000 | 30,000 | 30,000 | 30,000 | 30,000 | 30,000 | 30,000 | 30,000 | 30,000 | 30,000 | 30,000 | 30,000 |
| AI safety | 1 | 30,000 | 30,000 | 30,000 | 30,000 | 30,000 | 30,000 | 30,000 | 30,000 | 30,000 | 30,000 | 30,000 | 30,000 | 30,000 |
| Donor | Total | 2019 |
|---|---|---|
| Effective Altruism Funds: Long-Term Future Fund (filter this donee) | 30,000.00 | 30,000.00 |
| Total | 30,000.00 | 30,000.00 |
There are no documents associated with this donee.
Graph of top 10 donors (for donations with known year of donation) by amount, showing the timeframe of donations
| Donor | Amount (current USD) | Amount rank (out of 1) | Donation date | Cause area | URL | Influencer | Notes |
|---|---|---|---|---|---|---|---|
| Effective Altruism Funds: Long-Term Future Fund | 30,000.00 | 1 | AI safety | https://funds.effectivealtruism.org/funds/payouts/august-2019-long-term-future-fund-grants-and-recommendations | Alex Zhu Helen Toner Matt Wage Oliver Habryka | Donation process: Grantee applied through the online application process, and was selected based on review by the fund managers. Alex Zhu was the fund manager most excited about the grant, and responsible for the public write-up Intended use of funds (category): Direct project expenses Intended use of funds: Grant to support the work of Alexander Gietelink Oldenziel who is interning at the Machine Intelligence Research Institute (MIRI) at the time of the grant. The grant money provides additional resources for the grantee to continue digging deeper into the topics after his internship at MIRI ends (while staying in regular contact with MIRI researchers); the write-up estimates that it will last him 1.5 years. Donor reason for selecting the donee: The reasons are roughly similar to the Long-Term Future Fund's past reasons for supporting MIRI and its research agenda, as outlined in the April 2019 report https://funds.effectivealtruism.org/funds/payouts/april-2019-long-term-future-fund-grants-and-recommendations Also, Alex Zhu says in the grant write-up: "I have also spoken to him in some depth, and was impressed both by his research taste and clarity of thought." Donor reason for donating that amount (rather than a bigger or smaller amount): Amount chosen to be sufficient to allow the grantee to continue digging into AI safety for 1.5 years after his internship with MIRI ends Percentage of total donor spend in the corresponding batch of donations: 6.83% Donor reason for donating at this time (rather than earlier or later): Timing determined by timing of grant round, and also by the grantee's internship with MIRI coming to an end Intended funding timeframe in months: 18 |