What’s funny is that we’ve actually incorrectly regulated headlights in the US. It’s the only example I can think of off the top of my head where deregulation might help.

We’ve banned euro-style dynamic lights that can carve out dim spots for oncoming traffic on the fly.

(Of course this doesn’t preclude other additional regulation that we do need about angle and things of that nature.)

I follow “Whataboutbunny” on socials. She’s a sheepdog doodle that communicates with buttons for words, and they (she and her humans) talk about dreams.

She dreams about “stranger animal”.

I didn’t learn calculus until college, but it’s one of the things I’m most glad I learned and I think I should’ve been taught it earlier.

It builds an understanding of the relationships between things in the real world. It’s the answer to “where do all these equations come from?” in all the science classes I took prior.

I haven’t used it since, but I think about it all the time.

I think Hill House is the pinnacle of horror TV. Midnight Mass just behind. Bly was just okay for me. Anything in particular that makes you rank it higher?

Personally: Synergy (a formerly OSS software KVM). GlassWire.

Professionally: IntelliJ. Datadog.

Datadog beats the pants off Prometheus, Grafana, and friends.

Do we think Beshear could/would pardon?

If my high school latin teacher was to be believed, it’d be pronounced “Gaius Yulius Kaisar” give or take.

Maybe the hawk had a sweet tooth?

Santa?

If you scale it up you can probably send more than one right? Send ten and nine work. That’s not nothing.

There’s a scene in Scrubs about this.

https://youtu.be/0RGCWPtKIhM

Cursed.

Shadow & Bone (but what I really want is the six of crows spinoff).

WoT.

Dead Boy Detectives.

“Heulyn” pronounced Hay-lynn.

The PR isn’t public yet (it’s in my fork) but even once I submit it upstream I don’t think I’m ready to out my real identity on Lemmy just yet.

I just spent about a month using Claude 3.7 to write a new feature for a big OSS product. The change ended up being about 6k loc with about 14k of tests added to an existing codebase with an existing test framework for reference.

For context I’m a principal-level dev with ~15 years experience.

The key to making it work for me was treating it like a junior dev. That includes priming it (“accuracy is key here; we can’t swallow errors, we need to fail fast where anything could compromise it”) as well as making it explain itself, show architecture diagrams, and reason based on the results.

After every change there’s always a pass of “okay but you’re violating the layered architecture here; let’s refactor that; now tell me what the difference is between these two functions, and shouldn’t we just make the one call the other instead of duplicating? This class is doing too much, we need to decompose this interface.” I also started a new session, set its context with the code it just wrote, and had it tell me about assumptions the code base was making, and what failure modes existed. That turned out to be pretty helpful too.

In my own personal experience it was actually kinda fun. I’d say it made me about twice as productive.

I would not have said this a month ago. Up until this project, I only had stupid experiences with AI (Gemini, GPT).

If you’re in the US like me, we should be aware the problem isn’t bright lights; it’s that our regulations don’t allow for the European beam alteration tech that will dim sections at a time based on oncoming traffic.

Brighter lights are a huge boon to safety, but we need the corresponding tech to keep it that way.

I run massive, global kubernetes clusters in AWS for a company you’ve probably heard of. There is no queue of clean VMs–not like you’re thinking anyway. And provisioning a new node can take Too Long under not-all-that-uncommon scenarios.

The next best option is overprovisioning the cluster, but even 1% overhead has big costs at this scale.

For large scale compute clusters with elastic load I absolutely care. The difference between one and five minutes of boot time when I ask for a hundred new instances to be provisioned is huge in terms of responsiveness to customer requests.

In the US the ruling party fills lifetime judicial appointments, which means the 4 years of conservative rule can have decades of lasting impact that will thwart any progressive policies that the next leftish government tries to implement.