Looking to advance businesses with charities in the vast majority shareholder position. Check out my TEDx talk for why I believe Profit for Good businesses could be a profound force for good in the world.
Brad Westđ¸
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Profit for Good 390 page ReÂsearch Compilation
I donât understand why you put such a significance on the drafting of the material. Someone could have more problematic use of AI if they simply deferred to erroneous AI research findings and made a post in his/âher own words. Someone could brainstorm and follow the erroneous reasoning of an AI and do so in human words. Conversely, AI could draft words where the research and reasoning is checked and the words to express the thoughts are iterated many times between human/âAI to come to a very strong and clear method of expressing it.
Your drawing the line at drafting both does not capture many bad uses of AI and also captures many good or great uses of AI, in my view.
Iâm not disagreeing with this post (or, in any event, not in the comment to which you replied). I am noting that most of the discussion that I have seen has been pretty against AI-generated writing writ large, conflating the good use of it with the bad use. I am noting my opinion that there is a lot of value in this usage. When I am saying âmost of the discussionâ, I am not talking about this post specifically, but the broader discussion there has been about the use of AI to generate writings.
[requires disclosure] A user has an idea for a forum post, then co-writes it with an LLM, turning a verbal mind-dump into bullet points, into an essay, into bullets again, etc⌠It turns out good.
I think this category, back and forth idea and drafting iteration between human and AI(s), has an enormous amount of value. The chatbots are very good at both generalizing from pithy insights and organizing material pretty effectively. Discussion and feedback over several rounds, at least for me, can produce content that well conveys my ideas much more quickly than if I were to just do it myself.
I think it is unfortunate that most of the discussion seems to be about demonizing the use of all AI for writing-generation, rather than distinguishing the good for the bad, and encouraging its positive use to enable contributions that otherwise just would not have happened.
Regarding the social multiplier, financial effect on vegan products, and boosting the social credibility of animal welfare, it seems like you are making the case that âoffsettingâ should take the full counterfactual difference between being an omnivore and a vegan, which includes the positive effects of being a vegan as well as the avoidance of the negative effects of being an omnivore. I would be interested in seeing attempts at calculating the value of these positive effects, attempted to be cashed out in terms of funding for farmed animal charities.
If AGI goes well for humans, this will likely mean a lot of technological development. This would likely include technologies allowing for products equal to or superior on the dimensions humans like, that donât have the animal welfare entailments. I realize that there have been some arguments that people would still prefer products created through suffering even if alternatives could be just as cheap, satisfying, and convenient, but I think that attitudes would change in the medium to long-term if those conditions were met.
Are the services available to founders (or other EAs that might be interested) for a fee?
The ambiguity in this regard may give the impression that there is more hostility toward people using AI to draft things than there actually is.
Thereâs some ambiguity as to whether this is a personal preference question (I.e., I would never post something drafted by an AI, but donât have a problem if you do) or a normative question (I. E., I would never post something drafted by an AI and neither should you.
I would definitely want a human reviewing and possibly iterating, but if that is happening and the AI is drafting, thatâs fine.
I think the problem is fundamentally the lack of care and attention to the content being created, not whether or not AI is used. If it is in peopleâs incentives to produce polished, thoughtless, drivel on LinkedIn and they can do it in 10 seconds, they will.
This is very different from an iterative process in which the human is carefully examining the output and refining to optimize the exploration and explanation of an idea.
I have experience writing things with and without AI. At least for me, it can be a very difficult process trying to convey things as clearly and effectively as I can. Perhaps I am being unreasonable in putting that much time into the process and perhaps other people are just much better at writing clearly and effectively without AI. But I can say that I would not produce a lot of the content that I produce without AI being able to shorten the process significantly.
I disagree pretty strongly with this.
Although there are tradeoffs associated with AI writing, mostly being able to produce content that can appear polished and well-considered when it is not, I think AIâs enabling the proliferation of good thoughts and ideas that would otherwise just never happen far outweighs this.Going back and forth with AI, reviewing, and drafting can turn a writing process that might take several days to a week or more, into an hour or two, or less. This enables me, and Iâm sure others, to share content and ideas that otherwise we would not be able to.
Removing the barriers to people sharing their thoughts quickly and effectively is probably how we get more new and impactful ideas out there. Iâve been pretty sad at the sort of witch-huntery Iâve been seeing about AI generated content.
This is a worthwhile idea and I appreciate you putting it out there. Team formation and skills matching are real bottlenecks. That said, for ideas that fall outside established EA cause areas or existing frameworks, the bigger bottleneck is often upstream of team formation: getting even modest funding to explore feasibility in a rigorous way. Volunteer energy and cross-functional collaboration are valuable, but they tend to dissipate without some resource runway. Your model might be even stronger if it included a pathway for connecting promising early-stage ideas to funders willing to back basic exploration, not just to collaborators.
I donât know that it is entirely manipulative or insincere, even if the founders of Farmkind are themselves vegan and support veganism. I think that they are trying to put forward a perspective and highlight a perspective that is also consistent with funding effective animal charities:
âI love consuming animal products and I am not giving that up. But I also think itâs fucked up and wrong how animals are treated in the factory farming system.â
And then they would initially use the interesting contrast between that and the vegan community to generate attention, while then emphasizing the commonality. That animals shouldnât be tortured and we can all do something to help make that stop.
I think that Farmkind is right that embracing people who have that perspective and validating that perspective may be part of growing the big tent, through not just funding but through engagement with the political process as well.
It seems like there were some execution issues here, but I hope that the appetite for creative and new ways to try to engage with the omnivorous supermajority continues growing.
Yeah, thereâs the possibility of a double-standard. Essentially the PFG is reputationally penalized for competitive choices in ways their normal competitors are not.
It seems the short term solution to this is selecting contexts that arenât fraught with ethical issues.
And if you succeed in the short term, the long term solution would be a messaging campaign that tried to get at this irrational double-standard where competitive business choices are not popular.
Nick, I think youâre imagining a different model than what Iâm proposing. Youâre picturing a founder who needs to be driven by altruism instead of greed. Thatâs not the idea.
The model is: a foundation buys an already-successful business from its existing owners and keeps the professional management in place. The managers keep getting paid salaries and bonuses. They keep running the business exactly as before. The only thing that changes is where the profits go after theyâre generated. This isnât about finding saintly founders. Itâs about acquisition. Private equity does this constantly. They buy businesses, keep management, extract profits. Weâre proposing the same thing, just with a charitable foundation as the equity holder instead of a PE fund.
Youâre right that greed drives startup founders. But startups are a tiny fraction of the economy. Most market share consists of mature companies run by professional managers who are already separated from ownership. They donât know or care whether their shares are held by Vanguard, Blackstone, or a foundation. They come to work, hit their targets, collect their bonus. Thatâs the context where this operates.
This is precisely why this model is scalable. It doesnât require heroes. It just requires a foundation to buy out an existing business and keep the operations the same. In most businesses, management does not have much equity so the PFG business can offer the same compensation packages that a normal business would.
Kyle, appreciate the engagement. I think thereâs a core misread I should clear up: COA doesnât require anyone to pay more. Thatâs the whole point. The thesis isnât âpeople will pay a premium for charity-owned.â Itâs âat price parity, stakeholders prefer charity-owned, and that preference shows up in conversion, retention, and terms.â You donât need customers to pay a charity tax. You need them to choose you over an equivalent competitor. The stated and revealed preference research suggests they will. So your concern about commodity and B2B customers actually supports my thesis. They wonât pay more, and they donât have to. In fact, commodities might be the best for PFG if the business has the capital required, because it creates a differentiator where there are otherwise none. At equal price and quality, preference tips the balance. Even small advantages in win rates compound on thin margins. A business operating at 10% margin that improves by 5 percentage points doesnât improve profit by 5%. It increases by 50%.
On the acquisition mechanics: yes, youâre buying profitable businesses at normal multiples. The thesis is that charitable ownership improves margins post-acquisition, not that youâre getting a discount upfront. Debt service comes first, charitable distributions come from what remains. If COA improves margins even modestly, the spread over borrowing costs funds both repayment and distributions. Same as any leveraged acquisition, just with a different equity holder. And foundation-owned businesses actually show lower default rates in the data, so lending terms should be competitive or better. The âentire economyâ scope follows from the mechanism. The preference operates on profit destination, not product category. And because the preference advantage doesnât come with a clear operating disadvantage, weâd have to look for when a disadvantage might emerge. This could possibly be businesses like startups, where equity incentives for the key early players might outweigh such an advantage. But in most of the economy, ownership and management are separate. In the lower-middle market, where experimental acquisitions might feasibly take place, the kinds of acquisitions that keep operations in place but change ownership â continuity acquisitions- happen all the time
On the beachhead: agreed, this is whatâs needed. Iâm working toward a fund structure to do instrumented acquisitions. The goal is generating real data, not just arguing from theory. Section 1.1 of the research compilation has more on the preference research if you want to dig in.
EDIT: Re AI timelines, one of the risks (certainly not the only one) is that it will cause wealth to be concentrated among the owners of capital. Having charities be the holders of that capital is likely a better outcome than a very small group who are accountable to no one.
If youâre interested in the plausible margin effects, sector selection criteria, and financial projects, you can check out the research compilation that I linked to (Section 1 for stakeholder preference research, Section 4 on the effect of parity (no consumer sacrifice) on adoption, and Sections 9A and 9B on sector selection criteria and financial modeling, respectively).
And Claude helped organize and review the draft, but I wrote it.
Yeah, the downside would be the cost of running the program, which would be very small in relation to the value of the capital (which would be going to charity, so just subject to normal business risks).
If you see differences in post-acquisition performance, they can expand the fund and other philanthropists will have the incentive to copycat. If the thesis is generally proven, lenders will have the incentive to finance further acquisitions (leveraged buyouts); the sky, or most of the entire economy (other than perhaps startups where equity incentives might outweigh COA advantages), is the limit.
Truly absurd that this is not being explored.
This is actually a quite apt summary.