Hi, there may be a use case for people wanting a change of scenario for inspiration on a challenge or may want to hunker down to do some deep work. In such cases, a month long stay may be needed to do some effective work. Has it been considered to do housing swaps?
Patrick Liu
Karma: 31
10 Whacky ideas spawned from EAGxVirtual 2022
EA Data Science Community Call with JFI (March 26, 2024 Recap)
Interesting, have you had a chance to pilot or trial this with any researchers so far?
Could EA benefit from allowing more space for contemplating a response after a post goes up?
This is a post from Jason Fried who write a lot about modern work practices implemented at his company 37 signals—https://www.linkedin.com/posts/jason-fried_dont-be-a-knee-jerk-at-most-companies-activity-7043983774434414593-Y0jG
He describes not encouraging instant, first impression reactions to idea pitches through flipping the communication process. They put out long form content about the idea before the presentation so there can be more developed responses. For posts in the forum, I feel like posts go for quick comments and that helps it rise to the frontpage and gather more comments. Its good and bad to me and I wonder what an improvement could look like.
(Yes, I knee-jerk wrong about this after seeing the post. )
The Seven Days of EA Xmas (a bad first draft)
Right, other ways I’ve heard this described is operations is Business as Usual (BAU) and projects have a start date and end date. I’ve seen this important distinction when it comes to budgeting as BAU will be funded first with a certain % uplift of last year’s spend. Project costs tend to be more of a stab in the dark as it will be something that hasn’t been done in this iteration before (e.g. this location or population segment) and whatever will fit in the remaining budget plays a large selection factor.
Now programs....that’s like having your cake and eating it too.
Hi, I think you might find something helpful from this system for information organization. It divides up four different purposes a user might be looking for information and so the optimal service model for each can be a bit different. Like you say in the post, some information can be too dense for new people onboarding so I believe the information needs to be presented in different ways.
Oh, so apparently this is called the “Second Species” theory. I’ll need to read more on it.
Hi Scott, do you know where we can get the data sets to add it to the EA Data Science repo?
Shower thoughts: AI has advanced its intelligence so fast by running thousands of iterations of training. In a way, it has lived a thousand lifetimes during our human lifespan. If each training run was one life, could that be analogous to one human life? If AGI has a survival instinct, could that be analogous to the drive for the survival of the human race as a species? Does that then change the way to look at control or coexistence mechanisms with AGI?
Update, call recap posted here: https://forum.effectivealtruism.org/posts/DAtAqAKuThj5kL3Kn/ea-data-science-community-call-with-jfi-march-26-2024-recap
Meta question—I volunteer with EA Data Science so this content is useful to me. How does subscribing to a tag work exactly? It seems like it just make posts more likely to appear on my frontpage or is there a more reliable way to check for updates? I could just keep checking the tag or try wrestling with some RSS feed or similar, but I’d like to know if there is a more native way of getting updates.
80⁄20 rule. Spend 18K hours to get 64K hours of impact ;)
Yes, let me try this rephrase. The average American who currently drinks casually in social settings may be behaving so because they think everyone else is drinking and this would be considered normal behavior. Sharing a statistic that nearly half of American do not drink regularly (as defined by the CDC) shows that it is also normal behavior to go out and not drink.
I think this is a positive reinforcement for not drinking. On the other hand, I would say warning people they should not drink because there is a 14% chance they may become an alcoholic is negative reinforcement, which could lead to backlash or otherwise be questioned. It could be questioned if occasional drinking is the sole and direct cause for alcoholism. Rather, most cases probably arise from a combination of drinking and genetic prevalence, family influence, social norms, body type, stress triggers, and other factors. This could open the door to people deciding such scenarios don’t apply to them.
Thanks for your interest Arepo! We will try to make future events more flexible to accommodate our global audience. For this current event, we needed a time that fit the presenters. We hope to have a recording online after the event and have them in the slack to answer follow up questions.
What stat are you working off of for people who become alcoholics?
I meant for the stat of non-drinkers to be a positive signal for the general population to choose not to drink and still feel normie. I believe there are hopeful stories of people beating alcoholism through behavior change such as moving to a new place where their identity is not tied to drinking. So I feel like stats don’t tell us everything.
Hey Devin, seems maybe your topic is the broader issue of addiction??
As part of the argument to advocate for people not to drink, maybe you want to point out the norm that about half of Americans don’t drink alcohol normally (https://www.cdc.gov/nchs/fastats/alcohol.htm) as opposed to this projection by movies and advertising that makes it seem like people drink every day.
Hey cool, I tried doing something similar throwing in links to NotionAI, telling it to turn the text into a table, and then prompting a column for a summary. NotionAI is about $10/month and your API calls were around $5. Do you think at some point in scale it might be cheaper to use notion? Then maybe you can get adhoc table filtering for free?
Is there a cap on the number of participants? If I am already able to go to a physical EAG will I be taking a spot away from someone else in the virtual conference?