Yeah, I use tmux all day. Technically great, but the UX for tmux smux.
You end up having to wrap everything in adapter scripts because it is so verbose as well as so unmemorable, along with that, it has no built in help, not even -h
Thank you for supplying all that info. I wasn't implying your app did anything nefarious, just the kinds of things I would like to see on an App Nutrition label. That is cool that you wrote it in .NET, any hiccups with that stack? I did some MacDev using Lua like 15 years ago, it worked out pretty well.
Could be pulling in webkit. 9MB doesn't mean it isn't based on a web renderer. It would be awesome if software came with a nutrition label. IO, does it phone home, memory safety, does it use web renderer, memory usage, etc.
> Since monitoring task performance
and adapting behavior accordingly are central to metacognition, we posit that mod-
els capable of accurately judging their own performance are better positioned to
improve it. We operationalize this idea via two novel mechanisms: reinforcement
learning with metacognitive feedback (RLMF), a paradigm to refine completion
rankings during preference optimization based on the quality of a model’s self-
judgments of performance, and metacognitive data selection, which uses similar
self-judgments to identify high-value training examples, outperforming naive active
learning.
I'd love to see DCs scaled with renewables, they would throttle down and run slower at night. The abstraction that power is available at whatever rate you want it is an expensive myth at scale.
I defer plugging in my electric car until 10am so I know that my neighbors solar arrays are charging my car.
In Seattle, every watt saved is water saved since we are blessed with hydro.
The thing that is off putting about how he uses rhetoric is that it feels like and-you deflection (tu quoque).
> Claim that a data center is using 1000x as much water as a city of 88,000 people, where it’s actually using about 0.22x as much water as the city, and only 3% of the municipal water system the city relies on. She’s off by a factor of 4500. This is the single largest error in any popular book that I’ve found on my own, and to my knowledge I’m the first person to notice it.
Yeah, she might be wrong. But a data center also using 1/5th of the water consumption of an 88k person city should still be what are debating. We also have a base rate fallacy, we don't know know how well or how poorly they are using water. Nearly all criticisms of AI data center criticisms boil (no pun intended) down to yeah, but what about almonds or rice or xyz. That isn't a healthy way to adjust how we talk about data center water consumption.
It is a classic debate tactic. Someone makes an argument, then buttresses that argument with a number. You attack the number, pretending that you didn't just correct the number, but also invalidate the original argument. We shouldn't be using these tactics to talk about the tragedy of the commons.
I worked for a hyperscaler, I poked around a bit about water usage both internally and externally and it wasn't good. There was little to no thought other than, "we can pay X to have water delivered, doesn't matter if it sourced responsibly." (to glibly paraphrase, company policy is to never write the honest part down)
Look at how hard Google fought to not have water data released in The Dalles Oregon for their DC there. Many DCs are supplied by water that is meant for humans, sourced from aquifers that took hundreds of thousands of years to fill, that are being depleted faster than they are filled, already.
I think AI is powerful tool, but we still can't give DC expansion a pass.
Dean pulled a sweet Dungeon Master move in "accepting her resignation." She should have made them fire her, esp for ostensibly doing the job she was hired to do.
How do you know this doesn't suffer from Gell-Mann Amnesia? The first version had so many glaring errors that have been "corrected" (removed), and I don't have the energy to comb through this one.
I am highly skeptical of layperson debunking like this.
STL is famous for having a large number of folks shooting guns into the air on New Years. So much so that there are warnings to not go outside. Stay safe.