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jcattle

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Planetary Intelligence

will4planet.substack.com
2 points·by jcattle·เดือนที่แล้ว·0 comments

ISS – Geolocating Astronaut Photography (2024)

web.archive.org
2 points·by jcattle·2 เดือนที่ผ่านมา·1 comments

[untitled]

1 points·by jcattle·5 เดือนที่ผ่านมา·0 comments

Why Is Windows 11 So Slow and Unresponsive?

learn.microsoft.com
5 points·by jcattle·8 เดือนที่ผ่านมา·7 comments

Python is adding Zstandard to the standard library in 3.14

discuss.python.org
4 points·by jcattle·9 เดือนที่ผ่านมา·0 comments

LandShade

landshade.com
1 points·by jcattle·10 เดือนที่ผ่านมา·0 comments

Bill Gates - Computers don't know how to represent knowledge (2017)

old.reddit.com
1 points·by jcattle·10 เดือนที่ผ่านมา·1 comments

comments

jcattle
·10 วันที่ผ่านมา·discuss
Something something bit flips, something something stateful
jcattle
·16 วันที่ผ่านมา·discuss
Yep. I don't see 500 million being even close to enough to develop broad-spectrum preventatives that would be easy enough and safe enough to administer, to get over 67% of the population to take them.
jcattle
·19 วันที่ผ่านมา·discuss
Yes all good points showing issues that academia has at the moment.

However I often see this going from "there's issues" to discounting academia altogether and positioning private labs as a good or only alternative.

After all, most people in the open science collaboration which published the seminal paper kicking off the replication crisis were from academia.
jcattle
·19 วันที่ผ่านมา·discuss
There's this crowd on HN which is very vocal against academia. From what I've seen, the main points are that academia isn't efficient, most of the science coming out of academia is useless and that the whole system is just a waste of taxpayers money. Instead, what is often argued, all good research is done in private labs. Then pointing to SpaceX, Moderna, OpenAI, Google, etc.

And while it is very true that often the research coming out of Academia is useless, what is always neglected are the roots of the research done in private labs.

When Jürgen Schmidhuber and team published their work on Neural Nets back in 1991 it was also useless. Unless you had a supercomputer and very, very deep pockets you were not going to do anything with what came out of their lab.

But still, 30 years later here we are, standing on top of the shoulders of this useless research.
jcattle
·19 วันที่ผ่านมา·discuss
It's tech from the 80s. Look up the Nishika N8000 and Nimslo 3D.

Basically it's multiple lenses next to each other, each capturing a small slice on the 35mm film. Every lens has it's own shutter, which is triggered at exactly the same time.

This wasn't too involved and quite cheap to implement with analog tech in the 80s/90s, but if you want to do the same thing with digital there's quite a bit more to consider. Here's a cool video of someone building a digital stereo camera: https://www.youtube.com/watch?v=_aofxbH0elo

The hard part with digital boils down to: Cheap camera modules are hard to calibrate to the same parameters and sometimes impossible to set focus, so pictures look the same. And taking pictures takes quite a bit of processing power, so if you want to take 4 pictures at once it gets a bit tricky with just a cheap raspberry or similar.
jcattle
·22 วันที่ผ่านมา·discuss
there's also https://www.myvocab.info/en

From what I can tell they actually have a bit more robust science behind their algorithm (and a lot less questions to answer)
jcattle
·23 วันที่ผ่านมา·discuss
Then I have a backup yubikey at home for services which allow to register two keys. For other's there's still good old password+some second factor.
jcattle
·23 วันที่ผ่านมา·discuss
Pretty happy with having a yubikey on my keychain. Log in someplace new? plonk in your yubikey and off you go!
jcattle
·23 วันที่ผ่านมา·discuss
Yes, you could do a lot more with the data. The only other thing I did was a wordle style guessing game: https://guess.landshade.com

But the data is open source, so if you want to dig around my badly documented code and raw satellite data yourself, be my guest: https://github.com/jonasViehweger/LandShade/tree/main/data
jcattle
·23 วันที่ผ่านมา·discuss
That's pretty cool. In a similar but very different vein: A few years ago I took twenty years of daily satellite imagery and computed the mean color for countries and the world https://www.landshade.com/

But in doing that you really do notice how everything concerning colors is just a bit arbitrary. You get raw reflectances from a scientific sensor on a satellite with specific spectral bands and sensitivity within those bands. And then you try and map this scientific sensor to the sensor that is your eyes, to try and emulate what we would actually see if shot up into space.

There's some really cool science around that if you're a color nerd: https://www.sciencedirect.com/science/article/pii/S003442571...
jcattle
·24 วันที่ผ่านมา·discuss
A coding agent should make short work of that. However I'm a bit doubtful if the results would actually be meaningful.

I'm thinking that some of the LLM-isms are a bit more complex than just repeated phrases. It's often more that short, punchy writing style with quick setups and punchlines. But would be interesting nonetheless. I really think that some things (like "solving real problems" or "it's not"/"this isn't") would show up.
jcattle
·25 วันที่ผ่านมา·discuss
This blurb gave me the idea to try and quantize this. Scrape the top HN blogs over the last few years and see how occurences of common phrases change.

I'd expect to see a huge increase in "solving real problems" over the last months.
jcattle
·เดือนที่แล้ว·discuss
Thanks I'll check out that video
jcattle
·เดือนที่แล้ว·discuss
Very nice visualizations, thanks for that!

One thing I still struggle with in my head is how these vision embeddings can then be used to give LLMs eyes.

Because you somehow need a giant training set which describes images in natural language, no? Is that actually how it works, or is there some smart trick so you don't need to pay labellers a bunch of money to look at pictures and describe them.
jcattle
·เดือนที่แล้ว·discuss
If you ask him 100 times in a row I would bet that by the second, maybe third, time he will not answer with his song but with: what the fuck is wrong with you?

Nicely circling back to LLMs not being able to learn and form memories.
jcattle
·เดือนที่แล้ว·discuss
The author mentions that in the blog. The majority is the delay of the updated file actually being written to disk by the device.

The author did not find a solution to trigger file write earlier/more frequently.
jcattle
·เดือนที่แล้ว·discuss
Good to know, thanks! This article was such a breath of fresh air compared to the usual "LLM-assisted" writing you get.

Just sentences like this:

> This isn’t just a problem for far-off countries of which we know little, like the EU and the US and China. Here in the UK [...]

So good! I feel like I'm becoming an old cynic but if it's the tenth time on the day that I read an overdramatized "It's not X, it is Y" in an article, actually good writing just hits different.
jcattle
·เดือนที่แล้ว·discuss
I'm not suprised that in the swiss economy no one bats an eye at 1000 CHF bank notes. After all the swiss are historically known for being the classy alternative to launder and store your ill gotten gains from, for example, your stint as the dictator of an African country.

But there has been some changes in recent years so I don't know how it is today.
jcattle
·เดือนที่แล้ว·discuss
Yea that part also stood out to me.

Everything else is also chock-full of plausible sounding but baseless claims and generalizations devoid of any nuance.

> For the people inside the Foundation: this is not a moment to manage. It is a moment to decide.

What does that even mean? Moment to manage what? Decide on what?
jcattle
·เดือนที่แล้ว·discuss
I guess it's about habit. In the end you are communicating. If I get into the habit of being rude while communicating with a machine, I would be afraid of this habit spilling over to my communication with other humans.