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sandgiant

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Boltzmann brain 2 years ago

Well no, that's not the reason why we're not Boltzmann Brains. A Boltzmann Brain is perfectly capable of believing that it is sensing reality in exactly the same way that your brain believes so.

It is worth reading the section "Modern reactions to the Boltzmann brain problem" in the article to understand why the Boltzmann Brain is a useful thought experiment.

Sean Carroll (professor of physics, quoted in the article) has a highly-rated book titled "Something Deeply Hidden: Quantum Worlds and the Emergence of Spacetime" [1] which discusses exactly these topics. I haven't read it, but it's on my list.

I also highly recommend his podcast "Mindscape" where he discusses this and a range of other topics in science and philosophy. [2]

[1] https://www.preposterousuniverse.com/somethingdeeplyhidden/ [2] https://www.preposterousuniverse.com/podcast/

There are no such things as absolute static things in relativity theory. "Before" and "After" depend entirely on the observer. Energy/matter and spacetime are deeply connected through the Einstein equations, so much so that they may indeed be "the same underlying thing".

Approximate static time and space are convenient illusions/approximations, that happen to be very useful for us as a species when it comes to surviving and replicating, but the Universe has no obligation to cater to our feeble minds or senses when it comes to reality.

Sounds like it's more of a campaign than an actual ban.

It is not enforceable by police – officers could not stop or fine people scrolling in the street because there is no national law against smartphones – but the mayor describes it as an incitement to stop scrolling and guidance for limiting phone use.

You are probably joking, but I think it's actually very important to look at the language we use around LLMs, in order not to get stuck in assumptions and sociological bias associated with a vocabulary usually reserved for "magical" beings, as it were.

This goes both ways by the way. I could be convinced that LLMs can achieve something the likes of intuition, but I strongly believe that it is a very different kind of intuition than we normally associate with humans/animals. Usins the same label is thus potentially confusing, and (human pride aside) might even prevent us from appreciating the full scope of what LLMs are capable of.

Touch Pianist 3 years ago

Indeed! I think this is what makes this so fun. I can also highly recommend listening to various recordings of the moonlight sonata and notice how different it is depending on the precise timing the pianist uses.

The only thing I changed from the default parameters was Age == Teenager. That resulted in this error:

We detected that generated image contains nude content. Try changing parameters.

Not sure what to make of this, but it feels wrong, somehow?

Edit: This was the prompt it generated for me on page load: "Minerva McGonagall in Hogwarts, wearing Hogwarts robe and witch hat" - https://generated.photos/human-generator/64e650a39563e6000e0....

Cherry-picking data to support your biases hardly falls under the category of rationalist coverage. Just like the radical environmentalists, Lomborg seems particularly prone to his biases.

Unfortunately, reality is more complicated than what fits in a few tweets about wild fires, polar bears and coral reefs.

Curious how much you backup, which version of restic you're running and why you think the deduplication is borderline unacceptable. There were several major (orders of magnitudes) improvements made to pruning within the past ~1 year, that's why I'm interested.

Exactly. Space is not static. Also everything is moving relative to each other. Finally distances are measured using the "distance-ladder" of astronomy which depends on a bunch of model assumptions. Therefore astronomers typically report distances in proportion to the Hubble constant. In case your model prefers a slightly different value you can recalculate your distances easily.

Fair question. I sometimes envy the amount of time people without kids have. But even for all the time in the World I would never trade the experience of having my three year old daughter. The pleasure I get from her is beyond anything I ever managed to get for myself, even when I had all the time in the World. Whether down to biochemistry or insanity, or both, I don't know. Having kids also helped me value my personal free time a lot more, so in some ways I feel like I'm more aligned with what I want now. Don't read any of this as advice though, I would never recommend anyone having children unless it's something you really want.

PRIMO is a way to fit models to the data in image-space. Since the models are very expensive to run it's not feasible to sample the model parameters directly in order to find a fit to data. Instead they take a library of model outputs and parameters and do a principle component analysis in image-space. This allows them to very cheaply generate new samples without running the complete simulation for each new set of parameters.

Principle component analysis is an old school analytical numerical method and has nothing to do with AI.

I'm not sure what you mean, but the techniques they are using are not new and are not related to artificial intelligence. They use a 120 year old numerical technique to "super-sample" their expensive simulations, which allows them to "fit" the simulations to data in a robust way. They do the calculations in a computer because there are too many numbers to do it on paper. That does not mean it has anything to do with AI.

This is not the "AI" part though. The thing that the press is calling "AI" is the principle component analysis (PCA) which they use to sample their model without having to generate a full MHD simulation at each grid point.

PCA was invented in 1901. It hardly qualifies as AI.

The point of the Event Horizon Telescope (ETH) was actually to attempt to produce something like an image of the black hole at the center of the galaxy, so in a sense it was a pretty-picture mission. The point of this study was to attempt to link up the observations with models in "picture-space".

There are certainly other, less pretty, ways to looks at the data, but producing something that can be intuitively understood, such as a 2D image, can also be helpful scientifically.

The title from AP is misleading. They are not using any "AI" but a simple principle component analysis and a Monte Carlo minimizer.

In this approach, we apply principal components analysis (PCA) to a large library of high-fidelity, high- resolution general relativistic magnetohydrodynamic (GRMHD) simulations and obtain an orthogonal basis of image components. PRIMO then uses a Markov Chain Monte Carlo (MCMC) approach to sample the space of linear combinations of the Fourier transforms of a number of PCA components while minimizing a loss function that compares the resulting interferometric maps to the EHT data.

As an exercise in matching up MHD models with real data this can be an interesting study. Too bad the reporting is so off point, as usual. But I guess adding "AI" to your titles gets you more clicks these days.