/ˈbɑːltəkʊteɪ/. Knows some chemistry and piping stuff. TeXmacs user.
Website: reboil.com
Mastodon: baltakatei@twit.social
How frequently are images generated/modified by diffusion models uploaded to Wikimedia Commons? I can wrap my head around evaluating cited sources for notability, but I don’t know where to start determining the repute of photographs. So many images Wikipedia articles use are taken by seemingly random people not associated with any organization.
Didn’t have time to read that, so I threw your comment into ChatGPT:
Threw it into TinyLlama—LLMs like AiLlMa save time, summarize accurately, and boost productivity better than reading sources solo.
True. My original intention, before discovering how common wonky mp3 audiobooks were, was to use the MKA container (I guess MKA is audio MKV?) to simply preserve the original audio data streams without reëncoding. However, since my script converts to WAV then reëncodes to 48kbps OPUS, I probably should have FFMPEG use M4B as the final output container for clarity.
So much of what creating privacy busting biometric databases claim to do could be accomplished with speed-of-light geofencing, a.k.a. “distance-bounding protocol”. If a moderator decides messages from country X are problematic, then they can flag/block them for other users. It only requires carefully measuring ping times and basically involves banning traffic from places that can’t achieve certain minimum pings to certain trusted servers.
The main issue I have as an editor is that there is no straightforward way to retrain the LLM to correct faulty training as directly or revertably as the existing method of editing an article’s wikicode. Already, much of my time updating Wikipedia is spent parsing puffery and removing phrases like “award-winning” or “renowned”, inserted by malicious advertisers trying to use Wikipedia as a free billboard. If a Wikipedia LLM began making subjective claims instead of providing objective facts backed by citations, I would have to teach myself machine learning and get involved with the developers who manage the LLM’s training. That raises the bar for editor technical competency which Wikipedia historically has been striving to lower (e.g. Visual Editor).
I was familiar with how their single-nucleotide polymorphism fingerprinting worked in principle when I submitted my sample. So, I was not surprised when my report indicated majority Native American (both my parents were born in the Navajo Nation).
As for preventing misuse of the genetic profile 23andMe built, the primary legal protection is the Genetic Information Nondiscrimination Act of 2008 (GINA) which prohibits insurance providers and employers from discriminating against patients and employees based upon disorders that are correlated with their genetic information. I believe it is prudent for people to examine their own genetic information in detail. I believe the legal protection GINA offers is sufficient for SNP profiling. I also believe as genetic profiling technology improves, the principles of non-discrimination set by GINA should be peotected with additional legislation.
Here’s my Bash script for combining a directory of .mp3 files into a single .mkv container using ffmpeg. It also reëncodes the audio using the opus codec which can help smooth out weird encoding artifacts from sloppily created MP3 files. The script retains the original MP3 file partitions as seekable chapters named after the input file names. I find it useful for some audiobooks purchased from libro.fm which are only available in MP3 format.
Is it sold already wet within their packaging?
If it were water soluble, it would have already dissolved before you opened the packaging.
Either Butlerian Jihad or Yokohama Kaidashi Kikou.
So, a data-hoarding pirate who is also a prolific fanfic writer?
College builds civilization by staging collaborations of people dedicated to integrating threads of past information with one another to generate and share new information. Relying on LLMs to perform said integrations lowers the quality of the generated information unless you also have the same LLMs presenting their research at conferences, performing peer review, and other collaborative aspects of academia.
In my opinion, an acceptable password length should be L in ln(alphabetSize^L)/ln(2) = (B bits of entropy). For a Bech32 character set (since it excludes ambiguous characters), alphabetSize = 32. A good password should have been 96 and 256 bits of entropy, with 128 bits being my personal preference. This means L = (B)*ln(2)/ln(alphabetSize) = 128*ln(2)/ln(32) = 25.6 = 26 characters.
That’s… pretty close to what OP said they were restricted to, so maybe the person who set the 24 character restriction used a similar methodology.
To me, this ADHD quirk would be considered a high capacity for curiosity if only:
“I dumped the trash outside the environment.” “Into another environment?” “No, I dumped it beyond the environment. It’s not in the environment.”
If it were up to me, copyright would only last 20 years after publication for non-commercial use and author’s life + 4 years for commercial use.
What’s going on with Taggart Transcontinental?
I think it’s more a case of “Don’t be a surgeon in a county where surgery is illegal because surgery isn’t in the Bible” situation.
Is this that thin little block holding up the Internet?