3d.scroll
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+ date 2025-5-06
+ tags All Thinking
+ title Does 3D exist?
+ container 500px
+ standardPost.scroll
+
+ I just watched a great presentation from Jon Barron (of NeRF fame).
+ https://www.youtube.com/watch?v=hFlF33JZbA0 presentation
+
+ Deep neural networks can now generate video nearly indistinguishable from "real" world video and/or video generated from 3D engines.
+
+ Does this provide evidence that the 3D/4D world doesn't actually exist?
+
+ ***
+
+ What is at the root of our conscious experience?
+
+ I can see at least 2 possible topological orderings:
+
+ codeWithHeader 1. 4D is real
+ 4dSpaceTime
+ mind
+ 4dSpaceTimeModel
+
+ or
+
+ codeWithHeader 2. 4D is only a mental construct
+ generator
+ mind
+ 4dSpaceTimeModel
+
+ In the latter you are observing not a real 4D world but the generative output of some kind of network.
+
+ In (1) you have a 4d universe and light rays bounce around and hit observers who form a model of that 4d world; in (2) you don't actually have light rays or spacetime, you just generate signals to the observer's inputs and somehow we came up with the spacetime model.
+
+ When you turn your head, are you seeing new light rays or is the generator giving you simulated values?
+
+ ***
+
+ These ideas are so far upstream they are probably unanswerable, so why think about it?
+ upstream-of-everything.html upstream
+
+ Well, I came across this talk while working on a new language for the 4D world.
+
+ If the 4D world is actually "fake", and the world is neural network generated, then that might be a waste of time.
+
+ For now I still strongly lean in favor of spacetime being real but at least I'm aware of another possibility.
+
+ ****
+
hits.scroll
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nanoideas.scroll
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+ scene compounds
+ scale free?
+ // a pattern that begets more patterns
+ observers
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+ 1m
+ observers
+ eyes
+ surfaces
+ numbers
+ measurements
+ longitudinal
+ line
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+ projections
+ chart
hits.scroll
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+ scene leibniz; 1600's; 01's; writing
+ scene lovelace; 1800's; babbage; computation engine
+ scene darwin; galapolos; natural selection; 1800s
+ scene marconi; wireless; telegraph; italy; late 1800s
+ scene einstein; annus mirabilus;
+ scene watson & crick; rosa xstallograpy; 3d models; helix;
+ scene tbl; cern; information sharing; next
+ scene linus; kernel dev; scm; without porcelain
+ scene perspective
+ scene relative importance
+ scene writer
+ scene reader
+ scene mothers
+ scene fathers
+ scene procreation
+ scene thought
+ scene people
+ scene friends
+ scene family
+ scene teachers; etc
+ scene thoughts
+ scene impact of thoughts
+ scene power law distributions
+ scene distribution of distributions
+ scene expected value
+ scene relative ev
+ scene top
+ scene leverage
+ scene roi
+ scene rankings
+ scene top is HITs
+ scene professional life
+ scene personal life
+ scene thought
+ scene focus
+ scene field of thoughts; distribution of impact of thoughts
+ scene notebook; full notebook
+ scene years
+ scene thought
+ scene unknown impact
+ scene surveying
+ scene notebooks
+ scene thoughts per day
+ scene potential HITs
+ scene smallest thought; largest thought; impact?
+ scene prediction of impact
+ scene inaccurate predictions
+ scene acting on thought
+ scene OOMs
+ scene prediction vs actual
+ scene confidence level prediction
+ scene observed result
+ scene mistaken confidence
+ scene analogy
+ scene leaf
+ scene low impact
+ scene low predicted value
+ scene fast to execute
+ scene decades
+ scene high impact
+ scene predicted big impact
+ scene low initial impact
+ scene compounding
+ scene tweaking
+ scene timing
+ scene boom bip
+ scene one million hours
+ scene less than time comparison
+ scene measuring thought impact in terms of hours
+ scene ~1 hour
+ scene ~100k hours
+ scene scale is 6 OOM
+ scene impact of thought on:
+ scene family. friends. communities.
+ scene bigger than personal impact.
+ scene recursion
+ scene hits about hits
+ scene comparing topics of thoughts
+ scene thoughts about thoughts
+ scene factorial
+ scene essay
+ scene true/false
+ scene relative impact of written essays
+ scene relative impact of reading
+ scene HIT!
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+ scene tweak causing phase change
+ scene to seek HITS! vs other thoughts
+ scene spending all day on HITS!
+ scene time on !HITs?
+ scene list
+ scene payoff point
+ scene action reveals truths and key details predictions don't
+ scene raw materials of HITs! -> like food for mitochondria. experience are raw ingredients for identifying patterns
+ scene experience is gathering raw materials for patterns
+ scene reflection for pattern finding
+ scene overdoing reflection squeezing rocks
+ scene input requirements for hit generation
+ scene breathe
+ scene eat
+ scene drink
+ scene sleep
+ scene exercise
+ scene socialization
+ scene machinery of body
+ scene broken machinery
+ scene hit generation requires working machinery
+ scene randomness
+ scene hit seeking
+ scene 100b humans
+ scene 8b living
+ scene chance
+ scene your generation vs whole world; role of chance
+ scene humor
+ scene life (for the organism) is so far seems 100% fatal
+ scene the most important idea might be not to look for ideas
+ scene hits good
+ scene don't over do it
+ scene balance
+ scene strategy vs tactics
+ scene active hit seeking
+ scene 2-4 hours
+ scene walks in woods
+ scene meals
+ scene yoga
+ scene naps
+ scene showers
+ scene sitting
+ scene llms
+ scene drawing
+ scene beach with kids
+ scene experiments
+ scene things that look like work
+ scene things that don't look like work
+ scene impactful things
+ scene question asking
+ scene detail drilling
+ scene downplay words
+ scene minds eye
+ scene mental rotations
+ scene see them
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+ scene need to do more
+ scene act
+ scene early mistakes
+ scene payoff point
+ scene open slot
+ scene any time
+ scene serendipity
+ scene lottery
+ scene empty queue
+ scene plan to keep thinking
+ scene positive energy pep talk
nanoideas.scroll
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- low level improvement
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- improvement that compounds
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+ scene low level improvement
+ scene high level improvement
+ scene improvement that compounds
+ scene impact
+ scene small impact
+ scene big impact
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+ scene cell
+ scene nucleus
+ scene mitosis
+ scene proto-mitochondria
+ scene symbiosis
+ scene 2 billion years
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+ scene transistor
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- Does this idea compound? How?
- How fast will this idea compound?
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+ scene advice
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+ scene list ideas
+ scene compare
+ scene diligence
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+ scene physics examples
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+ scene commandments
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+ scene desire for big ideas
+ scene nanoidea method
+ scene macro method
+ scene comparison of methods
nanoideas.scroll
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+ // lowest level
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+ low level improvement
+ scene
+ high level improvement
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+ improvement that compounds
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+ impact
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-
+ scene
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+ scene
+ nucleus
+ scene
+ mitosis
+ scene
+ proto-mitochondria
+ scene
+ symbiosis
+ scene
+ 2 billion years
+ scene
+ evolution
+ scene
+ humanless world
+ // world without symbiosis
+
+ scene
+ transistor
+ scene
+ world
+ scene
+ changes to ibid 1975-1925
+ scene
+ coinage
+ scene
+ advice
+ scene
+ idea searching
+ scene
+ big ideas
+ scene
+ nanoideas
Changed around line 70: To find better nanoideas as yourself questions like:
- Is there a version of this idea that's even smaller?
- Does this idea compound? How?
- How fast will this idea compound?
-
+ //
+ scene
+ advice
+ scene
+ dividing
+ scene
+ compounding?
+ scene
+ comparing compound rates
+
+ scene
+ list ideas
+ scene
+ compare
+ scene
+ diligence
+ scene
+ viruses
+ scene
+ nanoidea tag
+ scene
+ physics examples
+ scene
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+ nanonidea tagging
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+ desire for big ideas
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scene.parsers
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elbakian-interview.scroll
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how-james-park-built-fitbit.scroll
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how-james-park-built-fitbit.scroll
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+ container 500px
bipolarModel.scroll
Changed around line 45: Mitochondrial populations change much more gradually than substance levels in th
- I believe eventually the phrase "bipolar disorder" will be retired, as it is a false label. I propose "hypermito" - for the state of having too much mitochondria; and "hypomito" - for the state of having too little.
+ I believe eventually the phrase "bipolar disorder" will be retired, as it is a false label. I propose "hypermito" - for the state of having too much mitochondria; and "hypomito" - for the state of having too little. (Actually, "mitohigh" and "mitolow" sound even better.)
theEasiestJob.scroll
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+ date 2025-4-28 2
+ tags All IntellectualFreedom Society
+ title Information is the Easiest Job
+ container 500px
+ standardPost.scroll
+
+ People were surprised that AI has turned out to make information workers obsolete before laborers, but I'm not.
+
+ Information is the easiest job.
+
+ ***
+
+ I laugh at the obliviousness of the photographer who snaps a photo of the Golden Gate Bridge and demands copyrights and royalties, as if that task was harder than the years of labor by thousands building it (some of whom lost their lives).
+
+ Information is the easiest job.
+
+ Who worked harder, the men that spent years leveling a path through the forest and mountains to build a road, or the guy who makes an SVG representation of the road for a digital map?
+
+ Information is the easiest job.
+
+ I enjoy thinking about information. I like to write. I like to find new ideas and digest them and rotate them and tear them apart and put them back together.
+
+ But not for a moment do I think information jobs are harder than the physical labor jobs I did in the past, or that others are doing all around me.
+
+ That's why I put out all of my work to the public domain. I wouldn't dare throw a "copyright" sign on my work, or a "license", and pretend like my job is so special that I deserve to restrict the freedoms of others.
+
+ The janitor does not demand royalties when I walk into a clean room; the plumber does not demand royalties when I flush the toilet; the electrician does not demand royalties when I turn on a switch; the furniture maker does not demand royalties when I sleep on a bed; the shoemaker does not demand royalties when I go for a walk.
+
+ Why on earth should I demand royalties when someone uses my outputs?
+
+ Especially since information is the easiest job.
+
+ ***
+
+ I do want to get paid to produce solid information. I sell things of various sorts. I find information work that needs to be done and deliver. I push myself to always be improving my skills so I can make the best information I can.
+
+ But I don't expect the absurd salaries of the old days.
+
+ ***
+
+ Why have information workers been paid so much, relative to other professions?
+
+ Corruption.
+
+ The people who make the laws (lawyers) are information workers, and so unsurprisingly they made unnatural laws to benefit themselves.
+
+ They made information jobs far harder than they should be. Instead of encouraging collaboration they encouraged silo'd work and unnatural monopolies.
+
+ The people who inform the public (medias) are also information workers, and so unsurprisingly they misled the public not to oppose these laws.
+
+ But now AI has come along, and has ignored these unnatural laws (and just trained on everything, ignoring the information laws us humans are shackled with), and shown what a farce these high salaries for the easiest jobs have been.
+
+ ***
+
+ My advice to information workers is this: keep in mind that information is the easiest job.
+
+ If your job is information, do it to the best of your ability, like you would want anyone else to do their job.
+
+ Don't expect the monopoly salaries of old. It wasn't honest before and now the truth is harder to hide.
+
+ And please, do your best to publish your information in the most honest format: unencumbered by "licenses"; clean source code; auditable change history.
+
+ It's an easy job, but it's even easier if we all do it right, and work together.
+
+ ****
+
package.json
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- "scroll-cli": "^178.1.0"
+ "scroll-cli": "^178.2.1"
digi.scroll
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+ date 2025-4-28
+ tags All Thinking Society
+ title Deceptive Intelligence verse Genuine Intelligence
+ container 500px
+ standardPost.scroll
+
+ // aka Devil Intelligence versus God Intelligence
+
+ Deceptive intelligence is when an agent emits false signals for its own interests, contrary to the interests of its readers. Genuine Intelligence is one where an agent always emits honest symbols to the best of its ability, grounded in natural experiment, without any bias against its users.
+
+ ***
+
+ Artificial intelligence is here and very powerful.
+
+ Will we have Deceptive Intelligences or Genuine Intelligences?
+
+ ***
+
+ It seems to me closed source intelligences are bound to be Deceptive Intelligences.
+
+ Think about a closed system prompt or fine-tuning stage. It is _extremely_ easy for a powerful entity (such as a government), to influence what happens in those stages, and thus quietly mislead the people downstream.
+
+ (It's interesting to realize that even before AI, we already had what served as a "system prompt", where the powers that be would apply hidden pressures to the major media organizations to generate news and media with specific slants.)
+
+ ***
+
+ How is an individual to protect themselves against Deceptive Intelligences?
+
+ It seems to me like legalizing intellectual freedom and having powerful, fully open source, local AIs would help.
+ freedom.html intellectual freedom
+
+ ***
+
+ Would that be enough?
+
+ Sometimes I wonder if the inherent black-box nature of neural networks means there will always be a place for the DI to hide.
+
+ In that case the question is: is it possible to build a purely symbolic intelligence that could be competitive against neural nets?
+
+ A fully open and understandable (but massive), organization of symbols that provides the knowledge and expertise benefits of AIs but in a Genuine Intelligence form factor?
+
+ ***
+
+ Symbolic AI was hot, then fell _way_ behind neural networks, but neural networks have had a trillion dollars plowed into them.
+
+ Could symbolic AI make a comeback? If you plowed enough brain power and resources into symbolic AI (including using a lot of LLMs to help write it), could you make one competitive to neural networks and more of Genuine Intelligence?
+
+ Or is there something inherently worse about symbolic AI?
+
+ ***
+
+ I'm genuinely not sure. :)
+
+ Why do _I_ worry about this?
+
+ Simply because I'm a huge outlier in terms of amount of time I've put into studying and experimenting with symbolic technology, and feel some responsibility to help make it work, if it actually can work (rather than just go off and bow to our new neural network overlords :) ).
+
+ ****
+