Some of these bought decommissioned power plants like old coal plants, so they’re getting wholesale prices for energy.

All the emoji will help users read and understand!

So I’m curious what people think of this.

There’s consent from the shopper and the retailer, so it’s not unethical, but obviously the model developers are going to enshittify and try to extract as much value as they can.

I ask because just this morning I got an offer to work on exactly this.

Thank Amazon and Walmart, and consumers choosing an artificially cheap product over a curated experience and knowledgeable staff.

https://thenewstack.io/github-will-prioritize-migrating-to-azure-over-feature-development/?ref=selfh.st

Oof, GitHub doing a cloud lift and shift to Azure.

I’ve done major lift and shifts, expect 2 years of runway on this feature pause.

Inevitably some teams are going to add new features and it’s going to get janky (happens every time).

I think we need to buy 4 bunches of bananas from the same grocery store, split two, leave two out but apart. Then record the results

Okay, I’m very confused

When you form the cuff is that inward or outside the bag?

When I flip the bag over, how do I avoid losing the chips?

I liked not knowing

If you’re serious, Reddit had/has an extreme fixation for clipping scenes with Alexandra Daddario, Jennifer Lawrence, Megan Fox, Sydney Sweeney, and Ana De Armas.

They’d get posted to /r/celebs and watch it for the plot.

Rocm is still a huge pain the ass to use with PyTorch.

I’m sure it’s fine for basic stuff, but the AI side is a mess.

I can do most models but none of the new attention architectures. Getting diffusion to work reliably is also difficult, though I do have that working.

They probably only dislike it because they haven’t given ours a chance. Remove the toggle.

The other day o spent a bunch of time carefully dissecting and then rewriting some code from the guy before me.

Turns out that code was never used, he just didn’t remove it or comment it out.

That was a good use of a couple hours.

Not my software.

No tests, no users, no bugs.

Some LLM is going to be trained on your idea and enact high levels of malicious compliance.

This is exactly it.

The lyrics are basically just the “I’m a piece of shit and won’t change” genre, and apparently that resonates with a lot of people somehow.

The only time I’ve had an enemy in my life I was 6 years old, I don’t get these songs man.

side note: I’m heterosexual but I did not know that Bo Burnham is low key fuckable.

Well at least he’s memory safe

A large part is people find it difficult to get vaccinated (whether that’s the case or not), and then a wedding super spreader event got it into the Mennonite population who boosted the numbers by a lot.

For the difficulty you don’t have to go to a doctor, but people don’t know that. The wait time to see doctors is high and a ton of people can’t get a family doctor. Then a lot of places don’t have a vaccination location within a 40 minute drive, so they don’t do it for the hassle. And they stopped enforcing measles vaccination for kids in school during COVID.

Yes

I tried a “bacon ale” at a festival, which was a shitty super bitter IPA (as was the tend, gotta max those IBUs) that tasted of raw bacon. It is still the worst beer I’ve ever had.

I got a bacon candle as a gift which was absolutely terrible. It just smelled bad, and not at all like cooking bacon.

Racial profiling keeps getting reinvented.

Fuck that.

They then used data on these individuals’ labour-market outcomes to see whether the Photo Big Five had any predictive power. The answer, they conclude, is yes: facial analysis has useful things to say about a person’s post-mba earnings and propensity to move jobs, among other things.

Correlation vs causation. More attractive people will be defaulted to better negotiating positions. People with richer backgrounds will probably look healthier. People from high stress environments will show signs of stress through skin wrinkles and resting muscles.

This is going to do nothing but enforce systemic biases, but in a kafkaesque Gattica way.

And then of course you have the garden of forking paths.

These models have zero restraint on their features, so we have an extremely large feature space, and we train the model to pick features predictive of the outcome. Even the process of training, evaluating, then selecting the best model at this scale ends up being essentially P hacking.

Up to macOS 26 (the latest OS with Liquid Glass) consistency was great. You’d have to go back to the PowerPC era or X11 integration to find issues. Now I have windows with different toolbar button sizes and corner radii and it’s stupid as hell.

I agree on window management tools, but I used third party ones on Mac for a decade and they worked okay. Obviously not as good as i3 type ones.