skt5

+1.

As an alum I've observed both:

* kids who partied hard first semester since grades didn't matter only to struggle second semester

* kids who benefited from this transition because they didn't go to Hotchkiss

I ended up in both buckets and I have mixed feelings about this since it helped and hurt me.

In the long run - it really didn't matter.

Wealth could be invested (impacts those borrowing), used on consumables (impacts businesses), or hidden under the mattress or equivalent (reduces the supply of money so acts deflationary).

I would argue that those 3 are the main downstream effects of having wealth -- and they all impact people at large enough values.

This approach does work when there's a clear answer but what about tasks where the correct answer is multi-modal? Incentivizing agreement works only for tasks where there's clear answers.

This likely means those consuming the outputs of Mechanical Turk don't have a good way to measure the value (aka quality) of the outputs.

If they did - then they shouldn't care whether it's a human or a LLM. And if it's a LLM - then the cost will roughly correlate to the MIN(cost of the LLM, cost of a human) to do the task.

Any advice for a senior/staff level FAANG dev working in ML tooling but not in the health space interested in this kinda stuff?

What are good things to read, etc?

Fascinating. I feel like smart person + data (context such as health records, labs, insurance docs, etc.) + LLM -> some helpful tips for navigating the process. However, evaluating the tips on whether they are helpful or not would be hard for a smart person without the expertise.

Or put another way - how does a smart lay person evaluate the independent advocates? Do incentives align?

> If you're a software engineer who cares about health, and have been sitting on the sidelines till now, I think the next few years are a really interesting time to make a contribution.

do you have thoughts on what that looks like? what does the hiring landscape look like?

I'm in a similar boat too! I found verbalizing it with anyone who will listen helps the anxiety.

> I participate in some management-focused online communities.

I know - slightly off topic - but would you be willing to share this list?

I used to use the docker + homebridge route but it became tedious to maintain. Instead, I connected it via the Google Home integration (requires an Insights plan) and then use my existing Starling Home hub to access it via HomeKit. This seems to be more reliable and less work than before.

The HHI [0] attempts to quantify that. [0] https://en.wikipedia.org/wiki/Herfindahl–Hirschman_index

isn’t that just an estate tax?

59/60 - SDE 61/62 - SDE II 63/64 - Senior SDE 65/66/67 - Principle SDE (aka Staff) 68/69 - Partner SDE (aka Senior Staff)

> the rest tried every trick in the book to get me to the dealership before they'd give me a price

would you be able to list those tricks? I'm currently car shopping myself. how did you get them to give you a price without showing up?

> contractors can write off the expense

there's an opportunity cost for that expense. it reminds of this episode of Schitt's Creek - https://www.youtube.com/watch?v=hg1Uk60rBsc.

both

I wonder if for those who it was very obvious for "put their money where their mouths were" and bought a set of securities that would make them a ton of money on what was obvious when the obvious materializes in real life.

then, with that ton of money, they could buy enough shares to influence the board to implement their agenda.

in theory, this would quantify the definition of "obvious".

> create a management committee, possibly with a rotating chairship, and in general give the employees more say over the direction of the company they work for".

this sounds very similar to a government where politicians are elected (un)fairly. likely, this just presents another set of trade-offs.

Income is evidence of a person's ability to pay. Credit history is evidence of a person's willingness to pay. I would expect a positive correlation between the two but relying on that correlation seems risky.

This is what economists call the Laffer curve. See https://en.wikipedia.org/wiki/Laffer_curve.

I don't live in MN but there are also adult baseball leagues here but teams tend to consist of former minor league players, college, or high school baseball players who couldn't or didn't want to make a career out of playing baseball.

I've played adult slow pitch softball at the C, D, & E levels. A-C levels are essentially former (usually older) minor leaguers. Even D league is quite competitive if you haven't played organized baseball or softball at some point.

EDIT: Showing up, which is how I got to play in a C league, is usually enough but it can get personally demoralizing if you're in the wrong league for your level.

This is an excellent recommendation since there are a few threads that specifically discuss this. I suspect your conclusion might end up being travel to the Mayo Clinic for a few weeks for diagnostic testing.

Some employers have their own health concierge in their benefits package that often goes mostly unused. I've heard positive feedback about the Stanford Health Navigation Service.

I know this is slightly off-topic but I figure I'd share an approach to picking a solid buyer's or seller's agent that someone told me about that might interest folks reading this thread.

Define a geographical bounding box for the area of the home you wish to buy or the area of the home you are selling that your potential buyer's might be looking in. This could be a circle with a 0.5 mi radius in very dense cities or several miles for not-as-dense locations.

Then, search on Redfin or Zillow for all closed sales in the last N months for properties in your bounding box that meet your general criteria. Note you may have to adjust the value of N, what "general criteria" means, and your bounding box definition to get a good number of closed sales.

Finally, go through each closed sale and tally the number of sales & purchases each agent has. Anecdotally in dense areas, you should see the same few agents buying and selling homes. Interview the top X and pick an agent.

If your agent is going to get paid a lot - at least make sure they have a ton of local knowledge.

To go a step further - you probably don't even care about having the best air conditioner. You probably just want to reliably feel cool when it's hot at a reasonable cost.

In economics, an externality [0] is a cost that is not paid for by the buyer or the seller but generally society bears the cost. For example, when buying a pollution machine - the cost to the environment may not be factored into the purchase price despite it being there.

Internalizing the externalities refers adding an additional cost to the purchase price to cover for the externality. In the example above for the pollution machine, this could be a carbon tax or a carbon offset.

[0] https://en.wikipedia.org/wiki/Externality

What would stop someone from operating a currency exchange system? Ex: a market to buy and sell credits using USD

This credit system sounds like another form of currency.

The building value by the county assessor's office is considered a standard for depreciation schedules. While it might not be useful for selling the property or building it - it does have value for accounting purposes.

Generally speaking no. When there needs to be major maintenance, each condo unit owner pays N% of the cost where N% is defined as your ownership stake (also your voting weight) in the condo. N is roughly your unit's square footage / the sum of every unit's square footage.

4Runners are notorious for holding their resale value well since they're known to be very reliable vehicles that can run 400k miles+ if you take care of them. You can put Land Cruisers in this category too.