197 karma · joined October 25, 2019
Maybe a dumb question.
https://www.pnas.org/doi/10.1073/pnas.0908113106
Just the same, these little fellows are some of the cutest on our planet.Left this comment as another computer science connection.
Update: in case it’s not obvious, I am sorry. I could not help it.
I don’t know who on Hackernews first mentioned these red light glasses but bought them for my mom in the hopes it could alleviate some vision problems she was having. After reading the precautions and fine print she was scared to try them, so I figured, why not see if there’s a difference for me. I don’t know how to describe it other than my eyes feel well rested when I use these consistently. I can see better in the dark and depth perception is just slightly better. I’ll use these puppies forever.
Also interested to hear if you plan to eventually support an option to add pitch accent; I've never seen what training material exists for that or how that is supported in unicode.
Isn’t the recommended option going to be dog slow at 256 GB/s.
At a deeper level, though, there’s truth that we have limited time here; we can’t read everything.
Let’s think through many many options to answer this joke that only focus on surprising the listener in section 1. And in section 2 we’ll focus on finding/filtering for the ones that are obvious in hindsight.
“Why did the sun climb a tree?”
In this case, let’s note that the sun doesn’t climb anything, so there’s two meanings at play here: one is that the sun’s light seems to climb up the tree, and the other is an anthropomorphization of the sun climbing the tree like an animal. So, to be funny, the joke should play on the second meaning as a surprise, but have the first meaning as answer with an obviousness to it. Or vice versa.”
Here’s a descent ones: - to leaf the ground behind - because it heard the leaves were throwing shade
Might mitochondria only be able to benefit from “recharging” in a recharge state?
Biochemists?
Here’s a link to the paper:
https://advanced.onlinelibrary.wiley.com/doi/full/10.1002/ad...
Sim Daltonism lets you see through the eyes of someone with a color blindness. While the colors shown are a good approximation of what a color blind person would see, you should not expect them to be perfect.
Everyone has his own perception of colors that differs slightly from other people, and color blindness are often partial at different degrees. More importantly, cameras do not have the same spectral response as cones in your eyes, so the simulation has to make some assumptions about the frequency composition of the colors.
I’m colorblind and haven’t found a simulator that comes close to what it’s like for me. This app doesn’t do it either.
Amazing!
Having implemented similar approaches across several teams, I can say it works beautifully for personal projects or well-defined small team efforts. But here's the challenge: most real-world information refuses to fit into single categories. A technical spec might be simultaneously system architecture, compliance documentation, etc. While the Johnny Decimal strength is its rigid simplicity, that's also its weakness when facing actual organizational complexity.
Rather than fighting these natural interconnections, I've found more success embracing them - using approaches that allow documents to exist in multiple contexts while maintaining the Johnny Decimal core goal of findability/searcability. The solution to chaos might not be enforcing a decimal hierarchy, but rather building systems that match how information actually flows in modern organizations.
I’d go so far as to add one more layer to monitor this one and stop adding layers. My thinking is that this meta awareness is all you need.
No data to back my hypothesis up. So take it for what it’s worth.
Learning isolated facts via flashcard give you the illusion of learning something. Most likely, when it comes time to apply it, it will not surface.
The Matrix Profile is honestly one of the most underrated tools in the time series analysis space - it's ridiculously efficient. The killer feature is how it just works for finding motifs and anomalies without having to mess around with window sizes and thresholds like you do with traditional techniques. Solid across domains too, from manufacturing sensor data to ECG analysis to earthquake detection.
I don’t now anything about such scans but that was my immediate rebuttal.
Like you, though, at least I find this explanation plausible.
In some instances, I'd rather parse Markdown or plain text if it means the quality of the output is higher.