baltakatei

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.

Nitpickers will nitpick.

You’d have a revolution on your hands if hard working people suddenly realized what they were missing when the 3-month vacation is denied them the next year.

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.

It’s why IQ tests are fundamentally flawed.

Since you have failed to correctly define the words “highfalutin”, “dogsbody”, “apiary”, “valise”, “collet”, “haruspex”, “threnody”, or even “copse”, we regret to inform you that you are functionally illiterate and likely mentally disabled.

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.

My headcanon is that college started out as a way for the wealthy elite to get their children to socialize with and breed one another to produce the next generation of social elites. These aristocratic objectives were highly correlated with the ability to successfully pass entrance exams and perform scholarly tasks, until the the “college for everyone” movement of the late 20th century (e.g. the GI bill). Then, the next generation of aristocrats collectively sent their children to an elite subset of colleges (e.g. Ivy League schools) and upper class companies filled out their managerial job slots with graduates from these colleges. At some point, I believe the wealthy elite will dispense with this academic charade and simply manage their own private dynastic dossiers for managing the breeding and marriages of their children.

Ah, the new medication doomies.

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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.

Missing the Mormon onesie.

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.

“I dumped the trash outside the environment.” “Into another environment?” “No, I dumped it beyond the environment. It’s not in the environment.”

Sandwiches, Bistro Boxes, Snacks, and Pasta Salads.

List: https://www.businesswire.com/news/home/20250510586328/en/Fresh-Ready-Foods-Voluntarily-Recalls-Ready-to-eat-Sandwiches-and-Snack-Items-Sold-in-Arizona-California-Nevada-and-Washington-Due-to-Possible-Listeria-Monocytogenes-Contamination

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.

First off, your tapeworms. Yeah, you really should’ve refused your friend’s pork chop. Next, your excess body fat. Next, your extreme aversion to feeling hunger. Everyone with a healthy lifestyle feels what you’d call “starving”, like, 2/3rds of the day. Now, your cancers. Yes, plural. Lung, skin, and colon. Pro tip: wear gloves even if your employer doesn’t provide them. Also, wear sunscreen. Next on the list… checks notes ah, yes. Done. What did I do? Do you remember what your nightmare last night was about? Yes, you had a nightmare. Excellent, anti-trauma neural circuit lobotomy was a success.

What’s going on with Taggart Transcontinental?