I think it's more relevant to talk about theaters showing current new movies because that's kind of what Hollywood is focused on. I'm in a more expensive city where a weeknight non-matinee will run $20 a pop for a current release. Comfort is average but food is pretty solid. Not Alamo, but similar service level. Not unusual for a couple to leave paying more like 80 after concessions.
Alamo food and service have absolutely tanked over the last year. They no longer prohibit phones during the film. In fact, now they require one to order food. They have completely undermined their entire value proposition. Alamo Drafthouse is a walking corpse.
Also at FAANG. I think I am using the tools more than my peers based on my conversations. The first few times I tried our AI tooling, it was extremely hit and miss. But right around December the tooling improved a lot, and is a lot more effective. I am able to make prototypes very quickly. They are seldom check-in ready, but I can validate assumptions and ideas. I also had a very positive experience where the LLM pointed out a key flaw in an API I had been designing, and I was able to adjust it before going further into the process.
Once the plan is set, using the agentic coder to create smaller CLs has been the best avenue for me. You don't want to generate code faster than you and your reviewers can comprehend it. It'll feel slow, but check ins actually move faster.
I will say it's not all magic and success. I have had the AI lead me down some dark corners, assuring me one design would work when actually it is a bit outdated or not quite the right fit for the system we are building for because of reasons. So, I wouldn't really say that it's a 10x multiplier or anything, but I'm definitely getting things done faster than I could on my own. Expertise on the part of the user is still crucial.
One classic issue I used to run into, is doing a small refactor and then having to manually fix a bunch of tests. It is so much simpler to ask the LLM to move X from A to B and fix any test failures. Then I circle back in a few minutes to review what was done and fix any issues.
The other thing is, it has visibility for the wider code base, including some of our infrastructure that we're dependent on. There have been a couple times in the past quarter where our build is busted by an external team, and I am able to ask the LLM given the timeframe and a description of the issue, the exact external failure that caused it. I don't really know how long it would have taken to resolve the issue otherwise, since the issues were missed by their testing. That said, I gotta wonder if those breakages were introduced by LLM use.
My job hasn't been this fun in a long, long time and I am a little uneasy about what these tools are going to mean for my personal job security, but I don't know how we can put the genie back into the bottle at this point.
I've tried a number of things over the years. Sailing, climbing, running, board game meet ups, drinking meetups, golf, crossfit, curling, probably some others I'm not thinking of. Just pick something and see if it sounds interesting to you and give it a go. My big advice is to avoid shelling out on gear. Rent or just get some beginner stuff. Most of these things didn't stick, but I'm a runner and a climber and oddly I've had some great platonic connections through crossfit as well.
Hey, so, I live in a city but visit my parents in the suburbs once or twice a year and at it did take some work, but there are certainly third spaces. After trying a few, I found some very comfy cafes to work out of, I prefer it since my parents can be a bit distracting. Also one cafe I really like is in a 'town center' which does also have a gym. So while you may not be in a city, see if there might be any pockets of walkability you can park at and enjoy the day on your feet.
Yup, for some types of rides it's definitely better, and the not having to chat up the driver is definitely an advantage.
To take off as a real replacement for ownership, self driving cars likely needs to meet at least these criteria: 1) overall cheaper vs ownership for average mileage/year, maybe 12kmiles/yr. 2) consistent delivery of car to rider in <5-10min, 3) a way to ensure the cars are always clean when they arrive (how? route them all through a cleaning station first?/lotsa cameras in the car to monitor cleanliness?/ability to order replacement car in <3min?).
maybe? But also LiDAR just gives a more complete picture of what is around the car. I think this is supported by how many miles waymo cars run unsupervised vs Tesla.
I am skeptical that tesla has this solved but interested in seeing how it goes when as they move to expand their robotaxi service.
This is just off the cuff, but I could go for something sort of like a 'daily paper' deal where I get debited a couple bucks for access to the news papers site for a day, or maybe even just the materials published that day, but that sort of seems more complicated to implement.
Then, if I'm reading it so often that it would be more cost effective to just subscribe they can start pinging me about it.
We have that implemented, it's just that nobody wanted it. Our pitch basically was that "Why can you buy today's paper on the stand, but can't do the same digitally?" Turn out the answer is complicated.
It is, but it is not one of those jobs that you don't take home with you. EMT also has my respect, I could not do their work either but this is a level of nasty that makes you lose any kind of hope for humanity.
reply