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#simulations

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Emilia Jarochowska 🇺🇦🌱

Sir, ma'am, do you have a minute to talk about #evolution?

In these gloomy days, teaching #evolution is the safe harbour. Tomorrow the lecture is online, because I (and many students) are going to a strike in #Utrecht against budget cuts to higher education 🟥 , but I hope they will still enjoy these absolute classics:

Niklas, Karl J. "Evolutionary walks through a land plant morphospace." Journal of Experimental Botany 50.330 (1999): 39-52.

I still remember being awe-struck by the work of Karl Niklas on plant #biophysics and #morphogenesis when I was a 1st year student at the University of Warsaw. This was truly a portal to a world where everything in nature could be explained and had an underlying principle.

Budd, Graham E. "Morphospace." Current Biology 31.19 (2021): R1181-R1185.

While I am learning my part in French to explain #simulations of #evolution in Brussels for a Science is Wonderful show by @ERC_Research later this week.

Diverse morphologies of computer-generated plant architectures showing morphological fitness optima for different functions. Figure from Niklas, Karl J. "Evolutionary walks through a land plant morphospace." Journal of Experimental Botany 50.330 (1999): 39-52.
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Tero Keski-Valkama

I wrote "there are no simulations" a while ago, referring to a chess playing robot as an example. To explain this better, let's consider what is the "reality" for a chess engine.

Is the reality the abstract game with the FIDE rules, and if a physical chess piece is slightly off-center on a square it's a "simulation artifact"? Because we can only represent the game physically in a manner of imperfect fidelity we could argue that the abstract game is the reality and there are imperfect projections of it on different media.

There can be a physical chess board, or a board represented as pixels on a screen. There can also be a chess playing robot moving and sensing physical pieces. These are all projections from the game itself which is played in the space of rules and not in the space of representations.

The knowledge and skills for the game of chess are embodied in different agents, human or machine.

This applies to all "simulations" actually. There are no simulations, only games, interfaces and embodiments.

It doesn't matter if a flight simulator for pilot training isn't totally photorealistic. They trained pilots successfully with very crude simulators before GPUs were a thing. What matters is how the skills and knowledge are represented in the games, to make them transferrable across different embodiments; from flight simulators to planes of different kinds.

A struggle for ever more photorealism in AI training makes little sense; there are diminishing gains especially if these "improvements" mean lower volumes of training data. What we need to struggle towards is a scaling sweet-spot where the skills we want trained are exercised as fully as possible within compute scaling curves budgeting compute between fidelity and volume.

In any real-world training we would often trade fidelity to volume simply because volume means the agents can try many more different actions, policies and strategies. The volume is more important than fidelity as long as fidelity is just enough to exercise the relevant skills.

It is a wrong way to think to think "simulations" because it makes one focus on real-world match, when what is important is actually creating games which allow training for the skills — physical or cognitive — which are relevant and transferrable to the target context, rather than making ever heavier, ever more photorealistic high-fidelity simulations which trade volume for beauty.

It is always possible to construct curriculums of game environments where the highest fidelity environments are saved for the last fine-tunings, while the bulk of the skills and knowledge can be trained in a high-volume environments before that.

#AI#deeplearning#RL
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The Krononaut Moon Project 🌑

#UFO #experiencer Kelly Chase & the good folks over at the #UFORabbitHole & #Ontocalypse are launching a new series on #AppleTV+.

@KronoMoon would like to see more rigor in #UFO reporting, particularly in the honest labeling of #photos & #video clips, including #simulations or #reenactments, and whether or not they have been digitally "enhanced" (scratches added or removed).

🔗 youtube.com/watch?v=rUPTffIaRz
🔗 Ontocalypse.com
🔗 UFORabbitHole.com

YouTubeCosmosis: UFOs & A New Reality [Trailer]By Ontocalypse Productions
#Community#TimeTravel#Research
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Jake in the desert

Get rid of landlords, fix the problems. The devs of Cities: Skylines 2 removed the 'virtual landlord' that takes in rent because rents were getting too high. So now, a building's upkeep is evenly split among renters (imagine that), and they came up with a formula for calculating rent:

Rent = (LandValue + (ZoneType * Building Level)) * LotSize * SpaceMultiplier

arstechnica.com/gaming/2024/06

Ars Technica · The rent is too dang high in Cities: Skylines 2, so the devs nuked the landlordsIt was getting so bad, people were actually suggesting building more homes.
#TheCommons#CitiesSkylines2#simulations
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💧🌏 Greg Cocks

Researchers Reconstruct Landscapes That Greeted The First Humans In Australia Around 65,000 Years Ago
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phys.org/news/2024-04-reconstr <-- shared technical article
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doi.org/10.1038/s41467-024-476 <-- shared paper
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#GIS #spatial #mapping #anthropology #archaeology #indigenous #migration #sahul #Australia #aboriginal #FirstNation #spatialanalysis #spatiotemporal #NewGuinea #Tasmania #sealevel #hominin #hominoid #landscape #evolution #climatechange #megafauna #population #demographics #environment #environmental #climatechange #landscapeevolution #model #modeling #terrains #foodsecurity #watersecurity #drivers #huntergatherers #community #simulations #physiographic #physiography

maps - Probability of Lévy walkers’ presence across Sahul combining the northern and southern entry points.
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photo - 'traditional' aboriginal Australian man
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maps and charts - put data layers used to run the physiography model.
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maps - Identified areas with archaeological potentials
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Barry Schwartz 🫖

Dear #quantum #physics enthusiasts, #QuantumComputing fans, and admirers of Nobel Prize winners Clauser, Zeilinger, and Aspect:

I have written a technical note in which the #mathematics is done much more correctly, and which has a link to #simulations (in Python, Ada, C, C++, etc.) that produce exactly the correlations predicted by quantum mechanics:
crudfactory.com/eprb_signal_co

I suggest re-examining your attitude towards #science. Taking it a lot more seriously.

Now I must write an animation.

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