The plant-based foods industry should make low-phytoestrogen soy products.

Soy is an excellent plant-based protein. It's also a source of the phytoestrogen isoflavone, which men online are concerned has feminizing properties (cf. soy boy). I think the effect of isoflavones is low for moderate consumption (e.g., one 3.5 oz block of tofu per day), but could be significant if the average American were to replace the majority of their meat consumption with soy-based products.

Fortunately, isoflavones in soy don't have to be an issue. Low-isoflavone products are around, but they're not labeled as such. I think it would be a major win for animal welfare if the plant-based foods industry could transition soy-based products to low-isoflavone and execute a successful marketing campaign to quell concerns about phytoestrogens (without denigrating higher-isoflavone soy products).

More speculatively, soy growers could breed or bioengineer soy to be low in isoflavones, like other legumes. One model for this development would be how normal lupin beans have bitter, toxic alkaloids and need days of soaking. But in the 1960s, Australian sweet lupins were bred with dramatically lower alkaloid content and are essentially ready to eat.

Isoflavone content varies dramatically depending on the processing and growing conditions. This chart from Examine shows that 100 g of tofu can have anywhere from 3 to 142 mg of isoflavones, and 100 mg soy protein isolate can have 46 to 200 mg of isoflavones.

Animal welfare does more to push the frontiers of moral circle expansion

I'm surprised the video doesn't mention cooperative AI and avoiding conflict among transformative AI systems, as this is (apparently) a priority of the Center on Long-Term Risk, one of the main s-risk organizations. See Cooperation, Conflict, and Transformative Artificial Intelligence: A Research Agenda for more details.

I wouldn't consider factory farming to be an instance of astronomical suffering, as bad as the practice is, since I don't think the suffering from one century of factory farming exceeds hundreds of millions of years of wild animal suffering. However, perhaps it could be an s-risk if factory farming somehow continues for a billion years. For reference, here is definition of s-risk from a talk by CLR in 2017:

“S-risk – One where an adverse outcome would bring about severe suffering on a cosmic scale, vastly exceeding all suffering that has existed on Earth so far.”

Great to see this! One quick piece of feedback: It takes a while to see a response from the chatbot. Are you planning on streaming text responses in the future?

I think another promising intervention would be to persuade God to be a conditional annihilationist or support universal reconciliation with Christ. Abraham successfully negotiated conditions with God regarding the destruction of Sodom and Gomorrah with just a few sentences. Imagine what we could do with rigorous and prayerful BOTEC analyses! Even if there is a small chance of this succeeding, the impact could be incredible in expectation.

Are there any readings about how a long reflection could be realistically and concretely achieved?

Great post! I've written a paper along similar lines for the SERI Conference in April 2023 here, titled "AI Alignment Is Not Enough to Make the Future Go Well." Here is the abstract:

AI alignment is commonly explained as aligning advanced AI systems with human values. Especially when combined with the idea that AI systems aim to optimize their world based on their goals, this has led to the belief that solving the problem of AI alignment will pave the way for an excellent future. However, this common definition of AI alignment is somewhat idealistic and misleading, as the majority of alignment research for cutting-edge systems is focused on aligning AI with task preferences (training AIs to solve user-provided tasks in a helpful manner), as well as reducing the risk that the AI would have the goal of causing catastrophe.

We can conceptualize three different targets of alignment: alignment to task preferences, human values, or idealized values.

Extrapolating from the deployment of advanced systems such as GPT-4 and from studying economic incentives, we can expect AIs aligned with task preferences to be the dominant form of aligned AIs by default.

Aligning AI to task preferences will not by itself solve major problems for the long-term future. Among other problems, these include moral progress, existential security, wild animal suffering, the well-being of digital minds, risks of catastrophic conflict, and optimizing for ideal values. Additional efforts are necessary to motivate society to have the capacity and will to solve these problems.

I don't necessarily think of humans as maximizing economic consumption, but I argue that power-seeking entities (e.g., some corporations or hegemonic governments using AIs) will have predominant influence, and these will not have altruistic goals to optimize for impartial value, by default.