Well we now know the author's true intentions. It was never about any real criticism, and simply an attack on a person they politically dislike.
HN user
de_nied
You're not here on an adventure through my post history, are you?
The author of this article seems quite politically driven like the mods on Wikipedia, and created it disingenuously. I feel it's an attempt to overwhelm the readers through massive amounts of text so that they are too tired to see what's being said at the beginning and end are completely unrelated.
[delayed]
My understanding is that it isn't about documenting oppression but rather how current methods of archiving can be oppressive and have "cultural bias".
I may be wrong on this, but this is generally what critical theory and its sub fields are all about.
Phd in Critical Big Data (aka Critical Race Theory for archiving) and undergrad in women studies. Had her funding cut by Trump because someone had the idea that tax-payer money shouldn't be funding "research" into how archiving has racism and oppression.
That's because the author in question is the one who had their funding cut.
Their research revolves around "Critical Data Theory" which sounds very stemmy at first, but looking deeper it has nothing to do with stem and is in the sociology department that focuses on oppression. Based on critical theory (remember critical race theory?), they study oppression in how people archive historical records.
Another professor pretending to be of a technical nature, yet in reality is just writing op-eds. No different than a NYT hit piece.
Go look at their undergrad degree and google their field. It tries everything in its power to attempt to look like a technical field, while just being another DEI course.
I work for a U.S. company that makes ergonomic 3D printed keyboards. We design specifically for the individual user's hand. Almost all the keyboard shells (the 3d files) are designed custom for the individual.
Labor is pretty cheap. It takes on average about 2 hours to build a keyboard. If there are no issues, it takes 1 hour. That costs about $25 total on average for labor.
The main cost is the 3d printed shells. We print PLA ourselves for cheap, but we outsource Nylon and Resin to China. These can cost anywhere from $150 to $200 for the entire thing.
The next highest cost are the PCBs. Our connectors, PCB columns for the switches, trackball PCBs, and the "brain" PCB, where all the logic processing happens, end up costing over $100-$150 total.
The total cost to build them ends up being anywhere from $250 (the absolute minimum barebones keyboard) to $400 for higher end boards.
Just some insight.
Yea if you're some classical snob.
- Posted by the quantum gang
When I hear or say K, T, or Ch, I hear a higher pitch frequency being used than B, M, L (which sounds like lower frequencies).
Humans have a psychoacoustic effect that makes higher pitch sounds perceived as being louder.
When somethting has a louder intial sound, but the transient sound is about the same, it makes it feel more snappy (like a snare, versus a kick). This is reminiscent of a jagged edge.
The photos feel like a story being told. Meant to be in an almost serial way.
Additional drone footage of crash site: https://twitter.com/sentdefender/status/1792394111091458484
Good thing this doesn't apply to fair use, which allows you to have an offline copy for yourself (assuming it isn't for commercial purposes, and you can make your own offline copy).
LG also has this as a keyboard input feature named "Swype".
See https://en.m.wikipedia.org/wiki/Swype (Not LG but seems like it's the same thing and same name)
Doesn't everyone just rip now with youtube-dl/yt-dlp?
How does this compare with attachable debuggers and memory windows in vscode?
Any particular reason you don't use Cloudflare's 'at-cost' registrar?
"The discovery suggests that wireless energy, like that from Wi-Fi and mobile signals, could cause antiferromagnets to produce electricity that might one day be tapped to power portable electronic devices."
I think this is even a more interesting application.
Another Dell tomfoolery: their laptops advertised with 100w usb-c charging actually does only 60w charging, unless you buy Dell's superduper usb-c charger. Regardless if you have usb p.d 3.0 or higher.
Any chance you could implement WebBLE capability?
Elon Musk has stated this is temporary [due to all the scraping that was happening in an attempt to circumvent the API access costs].
One application are LLMs. I've seen a project use Pinecone to enable "infinite context" for GPT-3.
Try following the links in the article. They give much more detailed information. For example, your temperture explination can be found here[1] (Ctrl+F), which is also linked in the article.
[1] https://huyenchip.com/2023/04/11/llm-engineering.html#prompt...
"sources familiar with the situation"
Michael Newmann on Youtube has high-quality content. Very helpful if you're an aural/visual learner.
I like the eye trace point. This rule seems to be ignored by the indie masses.
I remember I stumbled onto your website through people's neocities links, and just spent hours reading about sailing, UXN, Japan, and your travels in general. Fantastic and high-quality material. I wish there were more collectives and groups like this that keep the maker/hacker culture alive.
I think the only potential fix to something like this is one of the hardest to overcome—brand name. If you’re searching for Gordan Ramsay’s Jammed Turkey or Rachael Ray’s Glimmering Sunflower Seeds, they can probably get away with 0% fluff content. The rest of us humble content creators probably cannot (until we’re dining with the stars, that is.)
[query site:.edu] gives me the base of any recipe I need, mostly without the fluff.
The thing is though, humans don't actually read alphabetic orthographies by the individual letters, but rather by the overall shape of the word. THAT'S WHY ALL CAPS TEXT TAKES YOU SO MUCH LONGER TO READ (letters lose their unique shapes). And taht's why yuo are gnaelrely stlil albe to udnersnatd tihs txet dispete me scrambling the central letters.
This is pretty cool
All your top picks have "innovation as a requirement for success" in common. AI is meant to reproduce outcomes, which means that innovation isn't something an AI can do. Or can it?