rchowe

One of the ways that the AMA gatekeeps is to limit the number of medical school seats and residency slots in the US (residency is run by Medicare).

Quality of life (at work) for many physicians is arguably pretty bad due to long hours, administrative requirements, and insurance requirements / prior auth. Physicians should lobby to get some of these things fixed by regulation, because it's likely the only way they will get fixed! However, a physicians lobby of any kind is going to have a tough time reducing healthcare costs because they have a significant financial incentive to gatekeep and their members can pay high dues to spend a lot on lobbying.

I wonder if the AI meant PAs instead of pharmacists -- as I understand it, a pharmacist's scope of practice is quite distinct from a physician.

My father, who worked as a market research analyst, said that the trick to the job was "point out the obvious before anyone else does".

Web sites and web content are trending towards being enshittified until it just barely becomes worth wading through all of the shit to get to what you actually wanted to consume.

Python has a much more mature ecosystem than Rust, especially for AI/ML stuff. I ran into a rust crate that purported to do a certain ML algorithm but did not do it correctly. I managed to write a replacement with Claude though.

I do think enforcing correctness at the type system level is a good idea for AI, which is why I often choose languages like C# and Rust over Python. However, for some things Python is definitely the correct tool for the job.

Using either Calibri or Times New Roman makes it look like you did not put any thought into your brand and chose the default in Microsoft Word. The State department probably has certain constraints (i.e. they likely have to choose one of the fonts that ships with Microsoft Word, and possibly a subset of that that also ships on macOS), but they could definitely choose better than the default.

I find the narrow serif typefaces such as Century Schoolbook a bit harder to read than ones with more normal spacing, and I think the US government should optimize for legibility and accessibility over style in routine communications. Palatino or Garamond would probably be my choices.

I don't think I was specific enough on what kind of structured data. The idea is that it extracts information from the text/HTML content of emails (e.g. a flight itinerary from an airline booking email or an ingredient list from a recipe) using AI.

Since you already have a method for reaching into folks Microsoft 365 inboxes and such, you could probably train an LLM to extract arbitrary data based on a user's prompt quite quickly though.

I discovered I liked business planning, strategy, and marketing pretty early in my technical career.

I also discovered that one of the thing business people bring to a company are connections, especially if they have already worked in a vertical, and few people want to talk to a bright kid about their problems.

The quality of store management seems to affect a lot when it comes to Walmart. I have been to some Walmart stores where I have never seen any unfolded clothing. I have been to some Walmart stores where I have never seen any folded clothing.

An organization as large as Walmart has the wherewithal to put together an effective charging network if they decide it is a priority. One of the nice things about being first-party is that they will likely have a preventive maintenance program and emergency maintenance program for the chargers, and some of that can be done by the company electrician.

I have a Tesla, and due to various factors (apartment living, other family members with Teslas), I almost exclusively use public chargers. I have some opinions of what amenities I want at a charger (bathroom, cold diet coke), but in general the chargers at gas stations, grocery stores, and Walmarts are the best for me. Restaurants and malls are actually not great amenities because that's often not the mood you are in when you arrive at the charger.

Thank you for this. I have been on r/manufacturing and if someone asks for a solution like this I am ready with a link :) I will check out the forum.

Walmart having a very large fleet of corporate private jets likely made the decision and trip easier for him.

I played with OpenHands for a few days (using gpt-4o since I already had an OpenAI account). I found it to be decent at writing new code, but then it had a hard time making changes when there was a lot of repetitive code (in a TypeScript / React project that I had it create with vite).

One of the interesting things about OpenHands is that you can see what the AI is doing in the terminal window where you launched it. Since it can't really load the whole codebase into its context window, it does a lot of greping files, showing 10 lines on either side of the match, and then doing a search and replace based on this. This is pretty similar to what a human might do: attempt to identify the relevant function and change it.

I think I might have better luck with a simpler project, e.g. a Sinatra or Flask app where each route is relatively self-contained. I might give it or Cursor another try in the future when the tech has progressed a bit.

I heard a story of a fishing boat in the eastern US that was "fighting a fish" for miles but could never get any traction. When another fisherman looked at their chart, he noted that they were dragged miles in a straight line towards Europe, and said "You caught a sub". The submariners don't care, they probably find it funny.

Our area measurement application did not require that tight a tolerance (we were estimating yield on broken material). If I needed that tight a tolerance, I could have gotten proof coins from the mint, or potentially switched to using a real calibration standard like a gauge block.