2022 H1 S-Process Grant Round Recommendations | Survival and Flourishing Fund
webThis page documents Jaan Tallinn's 2022 H1 grant recommendations via the S-Process, funding AI safety and existential risk organizations including Redwood Research, QURI, and the Language Model Safety Fund, providing transparency into philanthropic priorities in the AI safety ecosystem.
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Summary
The Survival and Flourishing Fund documents grant recommendations from Jaan Tallinn's 2022 H1 funding round, using the 'S-Process' (Simulation Process) where recommenders and funders specify marginal value functions to allocate funding. The round distributed millions of dollars across AI safety, longtermism, and existential risk organizations. Key recipients include Redwood Research ($1.27M), Alpenglow Group ($908K), Nonlinear ($599K), and the Language Model Safety Fund ($582K).
Key Points
- •The S-Process uses marginal value functions and counterfactual delegation simulations to determine grant allocations among recommenders and funders.
- •Five recommenders participated, with Nell Watson, Malo Bourgon, and Catherine Olsson publicly identified.
- •Top recipients include Redwood Research ($1.27M), Alpenglow Group ($908K), Nonlinear ($599K), and Language Model Safety Fund ($582K).
- •Grants span AI safety technical research, forecasting/prediction platforms, longtermist policy, and biosecurity organizations.
- •The round reflects Jaan Tallinn's philanthropic priorities in existential risk reduction and AI alignment for early 2022.
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2022 H1 S-Process Grant Round Recommendations | Survival and Flourishing Fund
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In the first half of this year (2022-H1), five people participated as “Recommenders” in a single round of a grant-recommendation process for Funder Jaan Tallinn. The following Recommenders in this round agreed to have their identities made public:
Nell Watson
Malo Bourgon
Catherine Olsson
How final grant amounts were determined: The “S-Process”
We call the recommendation process used in this grant round the “S-Process”, for “Simulation Process”, because it involves allowing the Recommenders and Funders to simulate a large number of counterfactual delegation scenarios using a table of marginal value functions . Recommenders specified a marginal value function for funding each application, and adjusted those functions through discussions with each other as the round progressed. Similarly, Funders specified and adjusted different value functions for deferring to each Recommender. In this round, the process also allowed the Funders to make some final adjustments to decide on their final intended grant amounts.
The S-Process app is still being developed for broader use.
Final recommendations
Most of the final endorsed recommendations of this round of the S-Process are listed below. These numbers have resulted from numerical inputs from both Funders and Recommenders, which represented estimates of the marginal utility of granting to each organization. Note that:
Some of the grants below might not happen if they are logistically difficult or time-consuming for the Funder to finalize for some reason.
Some additional grants might also appear on this list later as more details about them become clear.
Source
Organization
Amount
Receiving Charity
Purpose
Jaan Tallinn
Redwood Research Group Inc.
$1,274,000
Redwood Research Group Inc.
General support
Jaan Tallinn
Alpenglow Group Limited
$908,000
The Centre for Effective Altruism
General support of Alpenglow Group Limited
Jaan Tallinn
Nonlinear
$599,000
Rethink Charity USA
General support of Nonlinear
Jaan Tallinn
Language Model Safety Fund
$582,000
($340,000)†
Players Philanthropy Fund
General support of Language Model Safety Fund
Jaan Tallinn
1Day Sooner
$500,000
($75,000)†
1Day Sooner
General support
Jaan Tallinn
Quantified Uncertainty Research Institute
$461,000
Quantified Uncertainty Research Institute
General support
Jaan Tallinn
Alignment in Complex Systems resea
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