If you have binoculars you should try using them. It’s not so much about the magnification, but rather the amount of light collected. Basically, the diameter of the objective lens is bigger than your own eyeball lenses/irises, so therefore more light is collected and projected to your retina while using binoculars.
I’m in western Canada right now and have so far not had the right conditions to see it myself. I’m hoping that might change in the next day or two.
I can try to explain, but there are people who know much more about this stuff than I do, so hopefully someone more knowledgeable steps in to check my work.
What does ‘random’ or ‘noise’ mean? In this context, random means that any given bit of information is equally as likely to be a 1 or a 0. Noise means a collection of information that is either random or unimportant/non-useful.
So, you say “Compression saves on redundant data”. Well, if we think that through, and consider the definitions I’ve given above, we will reason that ‘random noise’ either doesn’t have redundant information (due to the randomness), or that much of the information is not useful (due to its characteristic as noise).
I think that’s what the person is describing. Does that help?
I’m not an Information Theory guy, but I am aware that, regardless of how clever one might hope to be, there is a theoretical limit on how compressed any given set of information could possibly be; and this is particularly true for the lossless compression demanded by this challenge.
Quote from the article:
The skepticism is well-founded, said Karl Martin, chief technology officer of data science company Integrate.ai. Martin’s PhD thesis at the University of Toronto focused on data compression and security.
Neuralink’s brainwave signals are compressible at ratios of around 2 to 1 and up to 7 to 1, he said in an email. But 200 to 1 “is far beyond what we expect to be the fundamental limit of possibility.”
Michael Lewis wrote an interesting book on this, published as an audio-book in 2018, called The Coming Storm (https://www.goodreads.com/book/show/41016100-the-coming-storm). It’s well worth the listen:
In his first Audible Original feature, New York Times best-selling author and journalist Michael Lewis delivers hard-hitting research on not-so-random weather data — and how Washington plans to release it. He also digs deep into the lives of two scientists who revolutionized climate predictions, bringing warning systems to previously unimaginable levels of accuracy. One is Kathy Sullivan, a gifted scientist among the first women in space; the other, D.J. Patil, is a trickster-turned-mathematician and a political adviser.
Most urgently, Lewis’s narrative reveals the potential cost of putting a price tag on information with the potential to save lives, raising questions about balancing public service with profits in an ethically-ambiguous atmosphere.
I agree that, if the detection is accurate and correct, it could be produced through non-biological processes, but, on earth, the molecule in question is known to be produced solely by biological processes. So when you say “easily”, I must disagree.
This is very preliminary data, and we shouldn’t get overexcited about the possible implications of this discovery, but I think it’s fascinating.
I just finished reading every last word of the indictment. Interesting read. Trump and several of his co-conspirators are absolutely fucked (IMHO; I’m no lawyer).
When I got to the end of the document I noticed a particularly poetic coincidence: “45”. As in, forty-five pages. President Forty-Five, the worst president this country has ever seen, and the first nail in his treasonous and metaphorical coffin ends with a sort of signature from the Defendent himself… 45.
Nice pic. I’m a little jealous that you’ve been able to see it yourself, but mostly glad to know some people are getting the chance and taking the opportunity. Cheers! 😀