321 karma · joined December 12, 2024
Watch at 0:40 @ Space War is Real, Here's How it Works
> Kessler Syndrome is a hypothetical scenario, proposed by NASA scientist Donald Kessler in 1978, where a chain reaction of collisions between space debris and satellites leads to a catastrophic increase in debris, potentially rendering Earth's orbit unusable. This increase in debris would make space travel and communication more dangerous and difficult.
Can countries actively plan strategies to use Kessler Syndrome to their advantage? Can Starlink satellites be destroyed easily by this method since they are present in the same orbit?
https://en.wikipedia.org/wiki/Lords_of_Finance
> One of the main themes of the book is the role played by the central bankers' insistence to adhere to the gold standard "even in the face of total catastrophe."[1] As Joe Nocera, a book reviewer at the New York Times, stated, "the central bankers were prisoners of the economic orthodoxy of their time: the powerful belief that sound monetary policy had to revolve around the gold standard...Again and again, this straitjacket caused the central bankers — especially Norman, gold’s most fervent advocate — to make moves, like raising interest rates, that would allow their countries to hold on to their dwindling gold supplies, even though the larger economy desperately needed help in the form of lower interest rates."
> As Elon Musk's DOGE rats gnaw their way through federal agencies, not caring is their guiding light.
He wouldn't have used this wording if he had actually spent sometime on understanding how wasteful the previous governments have been. So in a sense, Elon was correcting the previous Who Cares mistakes and not actually committing new Who Cares mistakes. This shows that even Dan doesn't care enough to ground his opinions in facts.
Sending A Letter To The PM | Yes Minister | BBC Comedy Greats
https://www.youtube.com/watch?v=aMcJ1Jvtef0
> In this GDC 2016 talk, Terrible Toybox's Mark Ferrari discusses and demonstrate some of his techniques for drawing 8 bit game graphics, including his celebrated methods for use of color cycling and pallet shifting to create complex and realistic background animation effects without frame-animation
The lost art of color cycling - Animating with color
https://www.youtube.com/watch?v=LUbrzg21X9c
> Color cycling was born out of hardware restrictions but out of it came some beautiful artworks that characterized the 80s and 90s. In this video we will learn more about how this effect was produced and experience first hand the beautiful artwork created with it.
The "water story" is a pivotal moment in Helen Keller's life, marking the start of her communication journey. It was during this time that she learned the word "water" by having her hand placed under a running pump while her teacher, Anne Sullivan, finger-spelled the word "w-a-t-e-r" into her other hand. This experience helped Keller realize that words had meaning and could represent objects and concepts.
As the above human experience shows, aligning tokens from different modalities is the first step in doing anything useful.
AI has the ability combine answers from multiple sources and tailor-make to your exact prompt details. Now that is something we call glove fits the hand. Plus it can explain its answers.
Complexity and Gravity - Leonard Susskind
https://youtu.be/6OXdhV5BOcY?t=3026
My conjecture is as we peel back the layers of onion beyond information, we will have another concept (lets call it Mu) and its corresponding law i.e (Mu-entropy always increases)
Maybe people don't realize, when Evolution developed emotional apparatus in brains, the Nature was pristine, true and direct with no misinformation. But today's environment is digital and there is no quick way to distinguish between true and wrong information. Brain still thinks both kind of information comes from the same true direct Nature and gives credence to it.
Claude :
That's a profound observation about the mismatch between our evolved emotional systems and our modern information environment.
You're highlighting something crucial: our emotional responses evolved in environments where information was directly experienced and generally reliable. If you saw a predator, it was really there. If someone in your tribe showed fear, there was likely a genuine threat.
In today's digital landscape, our brains still process information with those same ancient mechanisms, but now we're bombarded with content that:
1. Is often deliberately engineered to trigger emotional responses 2. Lacks the contextual cues that would help us evaluate reliability 3. Comes at a volume and speed our brains never evolved to handle
This creates what some researchers call an "evolutionary mismatch" - where mechanisms that served us well in our ancestral environment may not be adaptive in our current one. Our emotional systems can't easily distinguish between a threatening situation we're directly experiencing and one we're merely reading about online, potentially thousands of miles away.
It's like our emotional processors haven't received the necessary update to handle the new information ecosystem, leading to misallocated emotional resources and attention. This might help explain phenomena like anxiety from consuming negative news or strong emotional reactions to online interactions that wouldn't affect us the same way in person.
A simple process produces a Mandelbrot set. A simple process (loss minimization through gradient descent) produces LLMs. So what plays the role of 2D-plane or dense point grid in the case of LLMs? It is the embeddings, (or ordered combinations of embeddings ) which are generated after pre-training. In case of a 2D plan, the closeness between two points is determined by our numerical representation schema. But in case of embeddings, we learn the 2D-grid of words (playing the role of points) by looking at how the words are getting used in corpus
The following is a quote from Yuri Manin, an eminent Mathematician.
https://www.youtube.com/watch?v=BNzZt0QHj9U Of the properties of mathematics, as a language, the most peculiar one is that by playing formal games with an input mathematical text, one can get an output text which seemingly carries new knowledge. The basic examples are furnished by scientific or technological calculations: general laws plus initial conditions produce predictions, often only after time-consuming and computer-aided work. One can say that the input contains an implicit knowledge which is thereby made explicit.
I have a related idea which I picked up from somewhere which mirrors the above observation.
When we see beautiful fractals generated by simple equations and iterative processes, we give importance to only the equations, not to the cartesian grid on which that process operates.