HN user

joebiden2

461 karma
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www.tests.com 2y ago

Free Fun IQ Test

joebiden2
1pts1
softwareengineering.stackexchange.com 3y ago

When is 3-valued logic useful?

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1pts0
security.stackexchange.com 3y ago

Spying on a smartphone remotely by the authorities: feasibility and operation

joebiden2
117pts96
langdev.stackexchange.com 3y ago

How can we compare expressive power between two Turing-complete languages?

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85pts55
en.wikipedia.org 3y ago

Incident Pit

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3pts0
biology.stackexchange.com 3y ago

Why do human females have permanently prominent breasts? (2016)

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4pts0
electronics.stackexchange.com 3y ago

How to ramp up a factory consuming a lot of energy?

joebiden2
162pts179
chat.openai.com 3y ago

ChatGPT4 riddle solving (non-)skills

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1pts2
stackoverflow.blog 3y ago

CEO Update: Paving the road forward with AI and community at the center

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31pts48
www.science.org 3y ago

Things I Won't Work With: Dioxygen Difluoride

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42pts7
philosophy.stackexchange.com 3y ago

Does a rock falling down a hill perform computation?

joebiden2
3pts2
community.kde.org 3y ago

KDE Plasma – Wayland Showstoppers

joebiden2
10pts0
en.wikipedia.org 3y ago

Jonathan Turley

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3pts1
en.wikipedia.org 3y ago

Talk: Gabriele Amorth (Exorcist)

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1pts0
security.stackexchange.com 3y ago

Using hashed trigrams to search over encrypted data

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2pts0
en.wikipedia.org 3y ago

Enzmann Starship (Orion Principle)

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3pts0
news.ycombinator.com 3y ago

Journalism vs. ChatGPT 4

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2pts1
news.ycombinator.com 3y ago

Ask HN: Frustrated with Wayland – Misconceptions?

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6pts9
www.darpa.mil 3y ago

How to Create AI Technology We Can Trust

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2pts0
www.nature.com 3y ago

Exploring nine simultaneously occurring transients on April 12th 1950 (2021)

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70pts20
astronomy.stackexchange.com 3y ago

How did asteroid (7482) 1994 PC1 get its “face”?

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1pts0
status.datadoghq.eu 3y ago

Datadog EU Is Down

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6pts1

The wordy article boils down to: the baths were infested by bacteria and worms due to insufficient water cleaning. Interesting, but could be compressed to 2-3 paragraphs without losing any detail.

Thanks for posting though.

The concentration of lithium in seawater is quite low, approximately 0.17 milligrams per liter (mg/L) or 0.17 parts per million (ppm).

To determine how much seawater is needed to obtain 1 gram of lithium, you can set up a proportion:

Given: 1 liter of seawater = 0.17 mg of lithium x liters of seawater = 1,000 mg (1 gram) of lithium

Using cross-multiplication:

x = (1,000 mg * 1 liter) / 0.17 mg x ≈ 5,882.35 liters

Thus, you would need to process approximately 5,882.35 liters (or about 5.88 cubic meters) of seawater to obtain 1 gram of lithium.

In practice, extracting lithium from seawater is more challenging due to its low concentration and the presence of other elements. Techniques have been proposed and researched, but as of my last update in 2021, they were not commercially competitive with other sources of lithium like mineral deposits.

You seem to really disregard the positions of this author. They seem to have invested substantial efforts in that specific area of research.

To validate the idea the author has, it would be required to train a LLM from zero. If the author is right, you would get similar results to the current generation of LLMs, but with (a lot) less space required for the intermediate layers.

The time to achieve that is still measured in kilo- to mega-dollars, why is it wrong to put that idea in the open to substantially criticize or adopt?

Metal Foam 3 years ago

This is rather incredible, both in its simplicity and the fact that I never read about it yet. Thanks for posting.

What does this add over llama.cpp? Is it just an "easier" way to setup llama.cpp locally?

If so, I don't really get it, because setting up llama.cpp locally is quite easy and well documented. And this appears to be a fork. Seems a bit fishy to me, when looking at the other "top" comments (with this one having no upvotes, but still #2 right now).

(llama.cpp's original intention is identical to yours: The main goal of llama.cpp is to run the LLaMA model using 4-bit integer quantization on a MacBook¹)

¹ https://github.com/ggerganov/llama.cpp#description

Isn't it exactly the opposite? Checked exceptions are for libraries to declare "exceptions" they can't handle themselves. You, the user of the library, have to deal with them (or declare them checked yourself¹).

I'm not a friend of checked exceptions myself, but I still think it's the opposite.

¹ which leads to the real issue with checked exceptions: they propagate through dependencies, if one nested dependency adds another checked exception, all dependencies have to add the exception or handle it themselves.

The point of the USD as a trading currency lies in its virtually indestructible value combined with malleability. If two countries trade in USD, no party will have a surprise later on.

If two countries trade, for example, in Yuan, and China decides not to buy foreign Yuan in exchange for the other local currency anymore, the value is lost (or at least harder to realize and probably incurring heavy losses).

I'm no economist, but that's my understanding. From this PoV it makes sense to make deals in a gold-backed currency as a replacement for USD. Not sure how they want to get enough gold from to really back it up. Could be possible, didn't research that, but seems of by one or two orders of magnitude.

No, it's not a bot ring. I assume you think that because I posted links to stackexchange quite a few times the last few months. Instead, I just skim over stackexchange.com as part of my feed and when there's something what I assume HN interests, I post it here.

I don't care much about Karma. I posted this specific topic since I find it kind of hilarious that police should now lawfully be able to do something they are almost surely not able to do. And I enjoy discussions to such topics here on HN, because most of the time the viewpoints mentioned here are at least of the same quality of the answers on stackexchange.

I'm soooo tired of bullshit like this. Fear of your job, fake news, yadda yadda, I get it. It is just boring. Almost as if written by an AI.

The whole post-truth, fake-news agenda is foreign to me even without AI, I don't know anyone save a few "flat-earth" like freaks who would fall for the classical disinformation trope.

No, nothing substantial follows. This was just a rant :)

PS: I feel the talk about disinformation, fake-news etc. is doing more of the stated purpose of fake-news and disinformation as disinformation and fake-news itself. I'll try to substantiate that claim in the near future, I promise.

From my perspective it hasn't.

It's mostly if topics land on the front page which are controversial, then the comments will generally reflect that. Also, I have the impression that another subset of HNers tends to discuss on such topics, while others - who I associate with the more typical HN style - generally refrain from joining such a discussion, amplifying the effect.

In short, my take is to avoid controversial topic discussion forums and stick to the rest.

This is the simplest riddle I found - after trying a whole bunch - which GPT-4 cannot solve at all. The distraction with the feeder is not strictly required but leads to funny detours sometimes.

google isn't even able to keep google authenticator working¹. Since the last update it has its icon "improved", but it doesn't reliably refresh tokens anymore. Since we have a policy of at most 3 wrong tokens in a row, a few people of my team almost got locked out.

Feel free to downvote as I'm too tired to post links to recent votes in the play store :)

Sorry for the snark in this post, but I have been less than impressed by google's engineering capability for more than 10 years now. My tolerance to quirks like the one I just posted is, kind of, low.

¹ An authenticator app is a very low bar to mess up

Google seems to be focused on reinforcing their brand by killing stuff, even if it just costs pennies to maintain, and despite they'd even have the money to wait all other competitors out, without blinking.

And they repeat this over and over, the only exception - to my knowledge - being google cloud. Does anyone know why they do this? And why do intelligent engineers stay under that leadership? Is money the only motivator?