

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.
/ˈbɑːltəkʊteɪ/. Knows some chemistry and piping stuff. TeXmacs user.
Website: reboil.com
Mastodon: [email protected]
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.
I get that “LIGHT” is more appropriate, but I still expected “LAMP”.
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.
Unless that cat is trained to use a toilet, that dough now has fresh cat shit and piss in on it, along with everything else the cat has walked on recently.
It is not a contradiction to refuse your child’s desire for you to adopt a cat and to love a cat. If you force a parent to adopt a cat, they will resent you for foisting an unwanted burden on them. However, the cat has no say in the matter, so it makes no sense to resent or punish the cat. Your parent developing a loving relationship with the pet you forced on them does not absolve you of your imposition.
Alien 1: Wow, humans must go around saying “Kill me…” a lot.
Alien 2: Uh, rude!
Middle-aged human: No, no, that tracks.
No author credit given.
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.
Is it sold already wet within their packaging?
If it were water soluble, it would have already dissolved before you opened the packaging.
Speak for yourself. Gestures to children triggering their own gag reflex for fun and profit
I’m pretty sure no one knows my blog and wiki exist, but it sure is popular, getting multiple hits per second 24/7 in a tangle of wiki articles I autogenerated to tell me trivia like whether the Great Fire of London started on a Sunday or Thursday.
What if it was reaaaaally fluffy down?
Frieren reminds me of my readings about the 19th century Texas Rangers (see Cult of Glory (2020) by Doug J. Swanson) and how Native Americans were literally seen as vermin to be exterminated, even if they assisted in exterminating other indigenous. In real life, a lack of communication and 15th century epidemics divided indigenous peoples who could have otherwise defended their sovereignty; once indigenous children learned the conquering host people’s language (English) and affirmative action applied to close egregious wealth gaps, indigenous people have proved to be ordinary people with another skin color (evidence: me, a member of the Navajo Nation). Frieren, in contrast, portrays a demon child as being irredeemably evil even though they learn the host language and are given second chances and extra attention (by the Himmel); the author implies there is some cognitive divide due to demons being solitary creatures who raise and teach themselves from a very early age (presumably much earlier than the failed experiment Himmel performed); however, that subtlety isn’t emphasized and demons are more akin to starfish aliens than people.
Overall, I think provoking controversy and discussion around this point is valuable because it invites people to debate the nature of Otherness. In which ways can a person be different enough before they stop being people? What exactly are the differences between “person” and “beast”? Is focusing on those differences the root cause of genocide? Do we hesitate to relax the requirements to be considered a person because we dislike the economic consequences? (e.g. the horror of teaching factory farmed animals to speak)
I personally consider demons in Frieren analogous to indigenous before colonizing powers, albeit sustained by their long life spans and tendency to independently discover powerful technology (magic). I doubt the author is thinking very hard along these lines, and so fear they will fall back on tried and true story patterns in which animalistic heathens are purged to make way for civilization. But I hope to be surprised.
Either Butlerian Jihad or Yokohama Kaidashi Kikou.
Gotta stay sane somehow.
There’s an oversupply of ununionized trucker labor, so they’ll likely just replace you until union strikes cause a labor shortage.
“It’s not that we like drama or enjoy violating your privacy. We just don’t like surprises.” — paraphrasing an nearly omniscient omnipresent AI in Pandora’s Star (2004) by Peter F. Hamilton