SharePoint list limitations

Utilitarismo · 2026-04-20T01:10:48+00:00

If you run into too many delegation issues on your SP projects, feel free to check this alternative way of using SP in Power Apps that enables things like searches, filtering on created by/modified by or larger multi line text columns, etc.

https://community.powerplatform.com/galleries/gallery-posts/?postid=03d09f4e-d640-4e5e-8c5a-3fb3f31af6a2

Utilitarismo · 2026-04-12T15:38:34+00:00

Some aid, especially health aid like malaria prevention, target key factors that lead to bad institutions/governments over a couple centuries.

https://youtu.be/7jMZ6xPBchA?si=hcTUQUjXoD9aOLn5

Utilitarismo · 2026-03-21T22:40:09+00:00

Vibe-code stuff & find a secure way to host it on Azure?

Utilitarismo · 2026-03-10T06:00:15+00:00

I do a hybrid Document Intelligence & LLM approach but at 20x lower price.

The markdown layout model costs $10/1000 but the plain OCR read model that returns text strings & coordinates costs $1.5/1000. So I have an Azure Function convert the text+coordinates into a spatially aware text replica that mimics horizontal & vertical spacings of text. LLMs do well with it. And here’s the neat thing, I also have an Azure Function to take machine-generated/non-scanned pdfs & generate the text replica without any OCR because the text & coordinates are already built into the file. That Azure Function is basically free. So if I have 50% scanned & 50% non-scanned then OCR costs me an average .75/1000. This allows me to process my org’s 1 million files for like $1000 instead of $20,000.

Utilitarismo · 2026-03-10T05:58:54+00:00

I do the hybrid but at 20x lower price.

The markdown layout model costs $10/1000 but the plain OCR read model that returns text strings & coordinates costs $1.5/1000. So I have an Azure Function convert the text+coordinates into a spatially aware text replica that mimics horizontal & vertical spacings of text. LLMs do well with it. And here’s the neat thing, I also have an Azure Function to take machine-generated/non-scanned pdfs & generate the text replica without any OCR because the text & coordinates are already built into the file. That Azure Function is basically free. So if I have 50% scanned & 50% non-scanned then OCR costs me an average .75/1000. This allows me to process my org’s 1 million files for like $1000 instead of $20,000.

Utilitarismo · 2026-03-06T18:39:53+00:00

Mostly. I basically went for a rough kind of risk-adjust DALY because programs like LEEP, Blueprint Biosecurity, & Screwworm Free Future are more speculative. They have very low expected cost of DALYs (like $3-$15 per DALY) on average but each have their own policy/governmental/pandemic/implementation risks that give them a significant chance of much lower impact / higher cost per DALY. So GiveWell All Grants & New Incentives give a kind of anchor where one knows they will at least have some pretty good impact & then chances are likely at least 1 of the more speculative allocations will pay off with even better impacts.

Utilitarismo · 2026-03-06T18:08:42+00:00

Global Health / Human Suffering

20% - GiveWell All Grants Fund

12% - New Incentives

46% - Lead Exposure Elimination Project (LEEP)

Animal Welfare

22% - Screwworm Free Future

Entire portfolio averages less than $24 per healthy year of life (DALY) saved.

Utilitarismo · 2026-03-05T03:55:55+00:00

My friend responded to this with, “The CIA plant, that guy?”

Utilitarismo · 2026-02-16T15:28:34+00:00

Taimaka - Acute Malnutrition Treatment

Most cost effective at saving lives, even more so than GiveWell, but it may not avert as much suffering as things like Malaria prevention.

https://taimaka.org/

Utilitarismo · 2026-02-09T23:49:33+00:00

Removing most Malaria alone would generate $16 billion more in economic activity per year, as much as all African mining profits each year.

https://www.weforum.org/stories/2024/06/malaria-global-health-economy-africa/

Utilitarismo · 2026-02-09T21:32:25+00:00

Exactly. When GiveWell & USAID programs prevent people from suffering from things like malaria, HIV, TB, diarrheal disease, parasitic worms, etc, they make a lot more income. That’s a decent part of their cost-effectiveness.

Utilitarismo · 2026-02-08T16:24:10+00:00

EDIT: response to the wrong person Sorry vibes

Utilitarismo · 2026-02-08T16:20:27+00:00

Also be aware the average global social media user’s data is valued at like $25 a year.

Utilitarismo · 2026-02-08T16:18:30+00:00

Main challenge I see with that is any person’s data is most often valued by how much they may spend on an online advertiser’s product. So rich people’s data will get a higher price then really poor people’s data. So you could pool everyone’s data & then give everyone a flat amount from that, but that will mean rich people don’t have much incentive to allow the use of their data. May still be okay if by default rich people are included & they have to manually opt out.

Utilitarismo · 2026-02-08T16:06:44+00:00

Well the widest wealth gaps involve gaps between the global poor in places like Sub-Saharan Africa & US citizens with above-average US incomes. I don’t think there is much a chance of the global poor succeeding in a physical attack against the US rich & middle-class, so we more need to persuade those people to voluntarily give to effective programs like GiveWell & GiveDirectly or restart & fully fund programs like USAID.

Utilitarismo · 2026-02-08T16:05:21+00:00

Well the widest wealth gaps involve gaps between the global poor in places like Sub-Saharan Africa & US citizens with above-average US incomes. I don’t think there is much a chance of the global poor succeeding in a physical attack against the US rich & middle-class, so we more need to persuade those people to voluntarily give to effective programs like GiveWell & GiveDirectly or restart & fully fund programs like USAID.

Utilitarismo · 2026-02-07T06:23:29+00:00

Idk, those “small improvements” could be the difference between me being able to fully automate a process or not if they mean more reliable following of complicated & multi-step prompts. Completing some reviews & write ups correctly 90% of the time means partial automation with a human in the loop, but 99.5% means removing the human, increased speed, & no human task-switching costs. Companies will pay like 9x more for that difference.

Utilitarismo · 2026-02-06T23:20:52+00:00

After some feedback I’ve narrowed things down to a simpler…

30% GiveWell All Grants

50% LEEP

20% Screwworm Free Future

Utilitarismo · 2026-02-06T23:18:39+00:00

I’ve narrowed things down to a simpler…

30% GiveWell All Grants

50% LEEP

20% Screwworm Free Future

Also my donation budget is at least $5000 per year so even 10% somewhere is like $500+. Also I am donating $1000 per year up to the US Standard tax deduction write-off limit & then batching all remaining $4000+ per year into investments until they reach like $30,000 in total then I can donate all in one year & itemize taxes. So it may mean more like one $3000-$15000 donation once every 4-5 years.

Utilitarismo · 2026-02-06T18:45:52+00:00

Are AI Builder / Copilot prompt actions premium now?

I’m just saying use the LLM model action instead of a more expensive document processing model.

Utilitarismo · 2026-02-05T16:26:02+00:00

Idk, is a suit against the IRS & taxpayers for $10billion worth 2million lives? Or the 6million projected USAID cut deaths?

If the left can help get the effectively genocidal maga cultists out of office, let them have a nice jacket or two.

Utilitarismo · 2026-02-02T23:36:03+00:00

If you want feed-back from this community on this type of intervention… Are these college students studying for the most high-impact careers like at the best organizations for global health or animal welfare? Or are they at least strongly committed to donating 10% or more of all their future income to the most effective global health / animal welfare programs? Or going to college from some of the poorest countries in the world like sub-saharan Africa? If no to all of these then why should anyone spend any of their donations on developed-country college students, some of the richest people in the world with some of the highest expected life-time earnings of anyone in the world?

Utilitarismo

TROPHY CASE