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?
Hi Scott, do you know where we can get the data sets to add it to the EA Data Science repo?
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?
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.
I like this framework - "The Lazy Genius guide to nearly everything, but I'm too lazy to count". It says to decide once for all the small stuff (like what to wear to the store or what to order for lunch) so you can enjoy the moment.
The Atlantic article by Jacob Stern points out that there is no great analogy to capture the essence of Artificial Intelligence. But if there was, then AI would probably just be a subcategory of that idea. AI can be thought of as a combination of things but it is really its own category. Perhaps the best way to put it - AI is like a Chimera with the destructiveness of Nuclear weapons, the uncontrollable virality of Social Media, the double-edged sword of Drug discovery, and the transformative power of Electricity. It is like a lot of things but put together, it may have far reaching implications we have not begun to comprehend.
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. )
Regarding figure out your customer, I saw this recent post that makes me rethink my weighing on customer personas and shift more towards "Jobs to be done". It taught me that personas are better collapsed into JtbD -https://www.linkedin.com/posts/matthewlerner_i-once-wasted-1m-on-personas-matt-lerner-activity-7037014334195032064-mra-?utm_source=share&utm_medium=member_desktop
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.