I’ve seen even people in their 40s using them. I don’t think that it’s a big deal, or that it’s too late for that.

Calcium chloride exists, it’s CaCl₂. You need two chloride anions for each calcium cation. [see note*]

It’s safe to eat as long as food grade. In fact it’s used in cheesemaking. It’s salty and bitter. It’s also used to dehydrate stuff in laboratory, since it absorbs water like there’s no tomorrow.

It doesn’t behave like metallic calcium at all. Just like sodium chloride (aka table salt) doesn’t behave like metallic sodium (warning: loud noise).

*Note: technically CaCl (one chlorine) exists, as a diatomic molecule. Rarely found in stars, you won’t find it in Earth.

Don’t feel discouraged by the Karen above, that should’ve stayed in Reddit alongside their peers. Thoughtful contribution is often verbose, and there’s nothing wrong with it.

Neither, but if I must choose it’s probably slightly more like muscle than like cartilage. If prepared properly it’s really soft and a bit chewy, distantly reminding me meat from stews.

(That reminds me a local pub that prepares some fucking amazing breaded and deep-fried tripe. Definitively not doing it at home - it spills and bubbles the oil like crazy.)

A compiler does it “good enough”, but AI = god in a bottle, thus it’ll do it “perfectly”. And for perfection you need to edit the raw metal using butterflies and cosmic rays, it’ll be the only real programmer to ever appear. Pressures like time and focus will stop existing. Why? Because AI = god, QED.

…or at least that’s the sort of crap that those Silicon Valley muppets believe in. The content itself doesn’t make sense, but why that pile of nonsense is uttered does - a fringe religious-like belief increasingly common among them.

That other poster is likely trying to deliver a point, that Musk probably never read a book, by clipping the sentence of the other poster.

Websearch “transhumanism silicon valley”, and it starts making sense: Musk has faith that artificial general intelligence is coming, Soon®, and that it’ll replace grunt labour like programming.

Musk being an assumer (note how he’s vomiting certainty on future events) doesn’t surprise me a tiny bit.

Persuasion itself goes from neutral to negative, depending on your moral standards. (They’re partially individual, partially cultural.) Because at the end of the day it boils down to “I want you to believe in this, because I benefit from your belief.”

And you definitively see some backslash against this aspect of advertisement; same deal with personal communication, a person being excessively rhetoric for their own benefit is immediately labelled distrustful.

Then over that propaganda adds further layers of nastiness, like:

• Often, the one doing propaganda is supposed to defend your interests. Not their/its own.
• You’ll usually need to omit and lie far more for propaganda than for other things. Because it’s usually a complex matter that involves society as a whole, not just your personal decision.
• Since the political landscape changes, the discourse being propagated may flip 180°.

Aaaaah. I really, really wanted to complain about the excessive amount of keys.

(My comment above is partially a joke - don’t take it too seriously. Even if a new key was added it would be a bit more clutter, but not that big of a deal.)

The source that I’ve linked mentions semantic embedding; so does further literature on the internet. However, the operations are still being performed with the vectors resulting from the tokens themselves, with said embedding playing a secondary role.

This is evident for example through excerpts like

The token embeddings map a token ID to a fixed-size vector with some semantic meaning of the tokens. These brings some interesting properties: similar tokens will have a similar embedding (in other words, calculating the cosine similarity between two embeddings will give us a good idea of how similar the tokens are).

Emphasis mine. A similar conclusion (that the LLM is still handling the tokens, not their meaning) can be reached by analysing the hallucinations that your typical LLM bot outputs, and asking why that hallu is there.

What I’m proposing is deeper than that. It’s to use the input tokens (i.e. morphemes) only to retrieve the sememes (units of meaning; further info here) that they’re conveying, then discard the tokens themselves, and perform the operations solely on the sememes. Then for the output you translate the sememes obtained by the transformer into morphemes=tokens again.

I believe that this would have two big benefits:

1. The amount of data necessary to “train” the LLM will decrease. Perhaps by orders of magnitude.
2. A major type of hallucination will go away: self-contradiction (for example: states that A exists, then that A doesn’t exist).

And it might be an additional layer, but the whole approach is considerably simpler than what’s being done currently - pretending that the tokens themselves have some intrinsic value, then playing whack-a-mole with situations where the token and the contextually assigned value (by the human using the LLM) differ.

[This could even go deeper, handling a pragmatic layer beyond the tokens/morphemes and the units of meaning/sememes. It would be closer to what @njordomir@lemmy.world understood from my other comment, as it would then deal with the intent of the utterance.]

Not quite. I’m focusing on chatbots like Bard, ChatGPT and the likes, and their technology (LLM, or large language model).

At the core those LLMs work like this: they pick words, split them into “tokens”, and then perform a few operations on those tokens, across multiple layers. But at the end of the day they still work with the words themselves, not with the meaning being encoded by those words.

What I want is an LLM that assigns multiple meanings for those words, and performs the operations above on the meaning itself. In other words the LLM would actually understand you, not just chain words.

At the very least, I’d recommend you:

• gloves - because you’ll get really close to that gross shit. You don’t want to touch it.
• a sponge - it doesn’t need to be new; your old kitchen sponge is enough, just don’t use it again in the kitchen. Use the yellow side to spread the cleaning agent, and the green side to remove obnoxious grime stuck to something. (Do it gently, and only with a really old sponge, to avoid scratching the surface.)
• a bucket - mostly to mix some soap and water.
• a dry rag - mostly for finishing/drying. A cringey old shirt that you won’t be using again is usually enough.
• toilet brush - don’t use the sponge to clean inside the toilet bowl; you’ll be spreading the bacteria from your shit and piss to the rest of the restroom.

Everyone has the cleaning agents that they swear upon, so look for something that works for you. For me it’s

• alcohol vinegar - to get rid of that brown crust in the sink (water in my city is hard as a brick) and around the shower drain. I usually apply it, wait a few minutes, then use the sponge to scrub it a bit. Then I remove the vinegar with the rag.
• bleach - exclusively used inside the toilet bowl. I squish some bleach there, then scrub it with the toilet brush, then flush it off, making sure that there’s no bleach behind.
• disinfecting agent - I squish a bit of that inside the toilet bowl and just leave it there. It smells good, and it gets rid of the bacteria.
• an ammonium-based cleaning agent - I squish it on obvious grime on the walls (except the above), then scrub it with the sponge.
• soap and water - to “wash” the walls with the sponge.
• plain water with some disinfecting agent - to rinse it. Then I just remove the excess water with the rag and let the restroom to dry naturally (with closed doors otherwise my cats will step on the bathroom, step outside, and now I got to clean the bathroom again plus the corridor and furniture).

Important detail: do not mix any two of the cleaning agents that I’ve mentioned. Specially not ammonium and bleach.

For reference, the disinfecting agent that I use is called “pinho sol”, but I have no idea if it’s sold outside Brazil. You probably have some similar product wherever you live.

Complexity does not mean sophistication when it comes to AI and never has and to treat it as such is just a forceful way to make your ideas come true without putting in the real effort.

It’s a bit off-topic, but what I really want is a language model that assigns semantic values to the tokens, and handles those values instead of directly working with the tokens themselves. That would be probably far less complex than current state-of-art LLMs, but way more sophisticated, and require far less data for “training”.

Oh “great”, more crap between Ctrl and Alt.

[Grumpy grandpa] In my times, the space row only had five keys! And we did more than those youngsters do with eight, now nine keys!

Thank you! It’s working now.

It’s giving me an error, “Error Finding Entity // Make sure you spelled the entity correctly and that it exists!”, when I use my username for lemmy.ml; curiously it works well when I do it for my beehaw.org account.

Create your account through old.reddit.com; when it asks you for an email, simply press “next”. And, if you need an e-mail provider for some other reason, protonmail.com doesn’t ask you for your phone number.

That said do you really need a reddit account?

Chomsky would say that the original purpose of language is to structure thought, with communication being solely secondary. (Or something like this, I don’t recall it word-by-word.)

If that’s correct, then internal monologues are simply a result of your brain processing your thoughts.

I like them, even for software installation. Partially because they’re lazy - it takes almost no effort to write a bash script that will solve a problem like this.

That said a flatpak (like you proposed) would look far more polished, indeed.