The Simulated Universe Thought Experiment And Information Entropy

Do we live in a simulation? This is one of those questions which has kept at least part of humanity awake at night, and which has led to a number of successful books and movies being made on the subject, topped perhaps by the blockbuster  movie The Matrix. Yet the traditional interpretation of the ‘simulated universe’ thought experiment is one in which we – including our brains and bodies – are just data zipping about in a hyper-advanced simulation rather than physical brains jacked into a computer. This simulation would have been set up by (presumably) a hyper-advanced species who seem to like to run their own version of The Sims on a Universe-sized scale.

Regardless of the ‘why’, the aspect of this question where at least some scientific inquiry is possible concerns whether or not it would be possible to distinguish anything uniquely simulation-like in our environment that’d give the game away, like a sudden feeling of déjà vu in the world of The Matrix where you can suddenly perceive the fabric of the simulation. However, the major problem which we have to consider when trying to catch a simulation in the act is that to this point we cannot ourselves create even a miniature galaxy and intelligent beings inside it to provide a testable hypothesis.

Beyond popular media like movies and series like Rick & Morty, what do science and philosophy have to say about this oddly controversial subject? According to some, we have already found the smoking gun, while others are decidedly more skeptical.

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That Coin Toss Isn’t Actually 50/50

A coin flip is considered by many to be the perfect 50/50 random event, even though — being an event subject to Newtonian physics — the results are in fact anything but random. But that’s okay, because what we really want when we flip a coin is an unpredictable but fair outcome. But what if that’s not actually what happens?

There’s new research claiming that coin tosses demonstrate a slight but measurable bias toward landing on the same side they started. At least, this is true of coin flips done in a particular (but common) way. Coins flipped with the thumb and caught in the hand land with the same side facing up 50.8 percent of the time.

The new research builds on earlier work proposing that because of human anatomy, when a human flips a coin with their thumb, the motion introduces a slight off-axis tilt that biases the results. Some people do it less (biasing the results less) and some do it more, but while the impact is small it is measurable. As long as the coin is caught in the hand, anyway. Allowing the coin to fall on surfaces introduces outside variables.

Therefore, one can gain a slight advantage in coin flips by looking at which side is facing up, and calling that same side. Remember that the flipping method used must be that of flipping the coin with the thumb, and catching it with the hand. The type of coin does not matter.

Does this mean a coin flip isn’t fair? Not really. Just allow the coin to fall on a surface instead of catching it in the hand, or simply conceal which side is “up” when the coin is called. It’s one more thing that invites us all to ask just how random is random, anyway?

Electrically controlled behaviors of the lateral α-In2Se3 Fe-FET. a) Hysteresis loop of Id–Vd curve of the planar Fe-FET with 29 nm thick α-In2Se3. b) Band diagram of the ferroelectric switching mechanism. (Credit: Miao et al., 2023)

New Type Of Ferroelectric Memory Constructed Using α-In2Se3 Material

The ferroelectrical properties of materials have found a variety of uses over the years, including in semiconductor applications. Ferroelectric memory is among the most interesting and possibly world-changing as it could replace today’s fragile and (relatively) slow NAND Flash with something that’s more robust and scalable. Yet as with any good idea, finding the right materials and process to implement it is half the battle. Here is where a recently released paper in Advanced Science by Shurong Miao and colleagues demonstrates a FeFET-based memory cell design using α-In2Se3 material on platinum-based source-drain electrodes. Continue reading “New Type Of Ferroelectric Memory Constructed Using α-In2Se3 Material”

Could Moon Dust Help Reduce Global Temperatures?

The impacts of climate change continue to mount on human civilization, with warning signs that worse times are yet to come. Despite the scientific community raising an early warning as to the risks of continued air pollution and greenhouse gas output, efforts to stem emissions have thus far had minimal impact. Continued inaction has led some scientists to consider alternative solutions to stave off the worst from occurring.

Geoengineering has long been touted as a potential solution for our global warming woes. Now, the idea of launching a gigantic dust cloud from the moon to combat Earth’s rising temperatures is under the spotlight. However, this very sci-fi solution has some serious implications if pursued, if humanity can even achieve the feat in the first place.

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Pushing The Boundaries Of Tiny Mechanical Devices With Compliant Mechanisms

Mechanical actions underlie much of what makes modern day society function, whether it’s electric motors, combustion engines, switches, levers, or the springs inside a toy blaster gun that propel foam darts at unsuspecting siblings. Yet as useful as it would be to scale such mechanisms down to microscopic levels, this comes with previously minor issues on a macroscopic scale, such as friction and mechanical strength, becoming quickly insurmountable. Or to put in more simple terms, how to make a functioning toy blaster gun small enough to be handled by ants? This is the topic which [Mark Rober] explores in a recent video.

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Who Needs Sea Monkeys? Get PlanktoScope

Plankton are tiny organisms that drift around in the ocean. They aren’t just whale food — they are responsible for fixing up to 50% of the world’s carbon dioxide. That, along with their position as the base of many important food chains, makes them interesting to science. Unfortunately, they are tiny and the ocean is huge. Enter Planktoscope. Billed as “an affordable modular quantitative imaging platform for citizen oceanography,” the device is a software-controlled microscope with the ability to deal with samples flowing through.

The software is in Python and uses existing libraries for user interface, image processing, and other tasks. The computing hardware is in the form of a Raspberry Pi. There are actually two prototypes of PlanktoScope available.

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Sine-wave Speech Demonstrates An Auditory One-way Door

Sine-wave speech can be thought of as a sort of auditory illusion, a sensory edge case in which one’s experience has a clear “before” and “after” moment, like going through a one-way door.

Sine-wave speech (SWS) is intentionally-degraded audio. Here are the samples, and here’s what to do:

  1. Choose a sample and listen to the sine-wave speech version (SWS). Most people will perceive an unintelligible mix of tones and beeps.
  2. Listen to the original version of the sentence.
  3. Now listen to the SWS version again.

Most people will hear only some tones and beeps when first listening to sine-wave speech. But after hearing the original version once, the SWS version suddenly becomes intelligible (albeit degraded-sounding).

These samples were originally part of research by [Chris Darwin] into speech perception, but the curious way in which one’s experience of a SWS sample can change is pretty interesting. The idea is that upon listening to the original sample, the brain — fantastic prediction and learning engine that it is — now knows better what to expect, and applies that without the listener being consciously aware. In fact, if one listens to enough different SWS samples, one begins to gain the ability to understand the SWS versions without having to be exposed to the originals. In his recent book The Experience Machine: How Our Minds Predict and Shape Reality, Andy Clark discusses how this process may be similar to how humans gain fluency in a new language, perceiving things like pauses and breaks and word forms that are unintelligible to a novice.

This is in some ways similar to the “Green Needle / Brainstorm” phenomenon, in which a viewer hears a voice saying either “green needle” or “brainstorm” depending on which word they are primed to hear. We’ve also previously seen other auditory strangeness in which the brain perceives ever-increasing tempo in music that isn’t actually there (the Accelerando Illusion, about halfway down the list in this post.)

Curious about the technical details behind sine-wave speech, and how it was generated? We sure hope so, because we can point you to details on SWS as well as to the (free) Praat software that [Chris] used to generate his samples, and the Praat script he wrote to actually create them.