kenhwang

The good ones still make time to knock out some lifelong backlog resident tickets to sharpen their axe on.

The bad ones get promoted for spending the time instead playing politics.

Matches my experience in adtech, Q4 was always at least half of our yearly revenue. Q1 usually came in at less than 1/4 of Q4.

That's my understanding as well. Seems like they're improving a $20 part of a billion dollar process, and a part that was already heavily using state of the art AI/simulation at that. The computers already spit out more potential candidates than what can be reasonably tested in vitro.

The new AI powered Alexa beta basically can't do egg timer, music, or light switch duties as reliably as the old Alexa, which basically makes it useless.

You'd think with all the data collected by these tech companies, they'd understand the common usage scenarios of their products. But instead we have AI Alexa that can't egg timer, or Gemini Assistant that can't navigate or make phone calls.

Rust has Rhai and Roto too if you need better than Python level of developer considerations.

I'm hoping one day people look at Python the same way they look at Perl and PHP.

There has been so much programming language innovation in the past decade that I'm surprised someone hasn't built a better Python. I'd like to see something like Rhai or Roto take off which has a natural upgrade path to Rust.

Maybe it's because interpreted languages just aren't in vogue anymore and probably won't be for a long time if humans aren't even coding anymore.

They're not competing against each other, they're competing against free/local/open weight models that they're also lobbying very hard to regulate/ban.

Ruby caught a second wind when they started putting effort into their JIT, which in our testing made it quite a bit faster than every interpreted language except JS in real world performance.

But then Python got a second wind in performance with better rewrite in Rust integration, but it looks like with the latest DHH keynote, Ruby might also go down that path.

My opinion is that I/O and concurrency ease of use and performance continues to be Ruby's weak point vs other interpreted languages. Which also happens to be Go's very few strong points.

Most banks let you schedule recurring transfers.

It's also marketing that their AI is hilariously terrible because AI Overview is the biggest posterchild for AI slop and often used as an example of how bad Google is at AI. Gemini proper isn't that bad, just the ultra cost cutting version on search is.

The ones in LA just get stuck behind things because LA loves its park anywhere you want anarchy.

But also the Waymos use alleys, driveways, and private parking lots that they're really not supposed to.

Always a bit embarrassing when the Waymo decides to use a space that's not meant for public use for pickup/dropoffs. One time, mine waited for me in/blocking a fast food drive-thru lane.

Pretty sure most of the post-exposure (PEP) cost is from the immunoglobulin, which is also why antivenom is often so expensive because it is also often immunoglobulin based. A synthetic alternative to immunoglobulin should bring the price down and make it easier to store/transport.

Pre-exposure (PrEP) for rabies (a vaccine) is more expensive than it should be due to lack of economics of scale and the typical American medical pricing inflation. That's not unique to rabies, it's just how vaccines are allowed to be priced in the US.

My understanding is poorer rabies prone countries do not even attempt PEP for rabies due to the cost, they really rely on broad PrEP immunity.

PEP is always going to be more expensive than PrEP, because transplanting a vaccinated animal's immune response proteins is a much harder thing to do than getting your body to make it's own.

They get stuck in LA as it is which is pretty chill for a major American city all things considered.

They're just really cautious and do need an extra 10s to think sometimes, and there's a lot of driving scenarios that don't allow that much time to decide to go or not. The biggest culprit seems to be unprotected intersections with the potential for human/bike crossing, which includes driveways which they insist on using for dropoffs (even when they're obviously not public driveways), which they then take a very long time to leave.

The grass too, everyone knows bikes ride on grass.