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zackmorris

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Everything always happens at once

https://www.linkedin.com/in/zack-morris-48996538/ http://stackoverflow.com/users/539149/zack-morris https://github.com/zmorris

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dowhatmatters.medium.com 1y ago

The Inefficiency of Greed: How DeepSeek Exposed Silicon Valley's Tech Bros

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36pts12
www.additudemag.com 2y ago

Adderall Shortage Caused by DEA Quotas on Controlled Substances

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58pts48
www.youtube.com 2y ago

Bashar on the two paths to AI and humanity's future [video]

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4pts1
www.codepink.org 3y ago

U.S. Media Censorship of Voices for Peace

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4pts0
arxiv.org 4y ago

Classical Simulation of Quantum Supremacy Circuits

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2pts0
en.wikipedia.org 4y ago

Teleology

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www.exactlywhatistime.com 4y ago

Time in Different Cultures

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10pts2
en.wikipedia.org 4y ago

Praxis

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2pts1
www.kdnuggets.com 4y ago

What Is a Tensor?

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4pts1
www.youtube.com 5y ago

Randy Mandell: Green Economics for a New Era

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1pts0
news.ycombinator.com 6y ago

Ask HN: Freelancing Teams?

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www.bestpsychologydegrees.org 6y ago

The Psychology of Disappointment

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1pts0
cs.indiana.edu 6y ago

The Role of the Study of Programming Languages in the Education of a Programmer [pdf]

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3pts0
www.npr.org 6y ago

Global Forest Watch Pro: Website Tracks Suppliers Causing Deforestation

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1pts0
www.cbc.ca 7y ago

Hempcrete Lego bricks with negative carbon footprint

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4pts0
news.ycombinator.com 8y ago

Ask HN: Like Patreon but for donors?

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3pts1
www.youtube.com 9y ago

Modern Monetary Theory (MMT) and Climate Change

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2pts0
gl.ict.usc.edu 11y ago

Prototyping a 3D light field display video projector array

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54pts9
www.kurzweilai.net 11y ago

High-efficiency concentrating solar cells move to the rooftop

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27pts1
news.ycombinator.com 11y ago

Ask HN: Activity as a Factor in Post Scoring?

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4pts3
chronicle.com 12y ago

How to Procrastinate and Still Get Things Done (1996)

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3pts0
www.nytimes.com 12y ago

Thousands of Toddlers Are Medicated for A.D.H.D., Report Finds

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66pts57
vschart.com 12y ago

GPL vs. MIT (or any other license)

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2pts0
news.ycombinator.com 12y ago

Ask HN: Do companies have better code than the open source community?

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13pts8
php.net 12y ago

Php.net theme goes live, no way to disable

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news.ycombinator.com 13y ago

Ask HN: Unanswered questions?

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eater.com 13y ago

FTC Complaints Allege Yelp Favors Negative Reviews Until Advertising Purchased

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stackoverflow.com 13y ago

Built-in scripting language available on all major operating systems?

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2pts1
www.physicsforums.com 13y ago

A simple physics problem for your weekend

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1pts0
stackoverflow.com 13y ago

Ask HN: Expose firewalled server securely for push notifications?

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1pts0

I've held the notion that money behaves in a log-linear way for decades, so it's nice to see that formalized finally. A river exhibits different behavior than a lake or the ocean. It's interesting that Daniel Bernoulli (famous for the Bernoulli effect) had a similar instinct in 1738. Compared to the talking heads in news and politics today, he was an intellectual giant to say the least.

I did a deep dive on finding how well tax brackets correlate with a log-based tax rate, but couldn't find much. I'll just summarize the results of my AI-assisted research:

---

https://www.fidelity.com/learning-center/personal-finance/ta...

https://www.reddit.com/r/AskEconomics/comments/1iri8nf/tax_b...

By plotting the 2026 single filer tax bracket thresholds against their marginal rates, we can fit them to the classic logarithmic function:

  log-linear equation for slope of line (y = m * x + b):
  tax rate = m * ln(income) + b
The ideal fit yields the parameters m = 0.0672 and b = -0.5121. The table below outlines how closely the mathematical log formula predicts actual statutory tax rates:
  income    tax rate  ln() tax rate  deviation
  $12,400   12%       12.10%         +0.10%
  $50,400   22%       21.52%         -0.48%
  $105,700  24%       26.50%         +2.50%
  $201,775  32%       30.84%         -1.16%
  $256,225  35%       32.44%         -2.56%
  $640,600  37%       38.60%         +1.60%
US federal tax brackets match a base-e natural logarithm (ln) model surprisingly well, boasting a statistical correlation R^2 of approximately 0.962.

---

The general public might have a hard time understanding logarithms, so I investigated using base 2, base 10 and base e (ln) to explain them (the base doesn't affect the computed tax rate). Here are the two simplest rules of thumb for a log-based tax system:

  a) base 2 log: every time your income doubles, you pay 4.7% higher taxes on the total
  b) base 10 log: every time you add a 0 to the end of your income, you pay 15.5% higher taxes on the total

  income          tax rate  taxes paid    approximation

  a) base 2 log:
  $8,192          9.37%     $768          ~10%
  $16,384         14.03%    $2,299        ~15%
  $32,768         18.69%    $6,124        ~20%
  $65,536         23.35%    $15,303       ~25%
  $131,072        28.01%    $36,713       ~30%
  $262,144        32.67%    $85,642       ~35%
  $524,288        37.33%    $195,717      ~37% (current top marginal tax rate capped above this point)
  $1,048,576      41.99%    $440,297      ~40% vs 37%
  $2,097,152      46.65%    $978,321      ~45% vs 37%
  $4,194,304      51.31%    $2,152,097    ~50% vs 37%
  $8,388,608      55.97%    $4,695,104    ~55% vs 37%
  $16,777,216     60.63%    $10,172,026   ~60% vs 37%
  $33,554,432     65.29%    $21,907,689   ~65% vs 37%
  $67,108,864     69.95%    $46,942,650   ~70% vs 37%
  $134,217,728    74.61%    $100,139,847  ~75% vs 37%
  $268,435,456    79.27%    $212,788,786  ~80% vs 37%
  $536,870,912    83.93%    $450,595,756  ~85% vs 37%
  $1,073,741,824  88.59%    $951,227,882  ~90% vs 37%

  b) base 10 log:
  $10,000         10.66%    $1,066        ~10%
  $100,000        26.12%    $26,120       ~25%
  $1,000,000      41.59%    $415,900      ~40% retains current millionaire tax rate near 37%
  $10,000,000     57.06%    $5,706,000    ~50% at mid-millions vs 37%
  $100,000,000    72.52%    $72,520,000   ~75% at $100 million vs 37%
  $1,000,000,000  87.99%    $879,900,000  ~90% at $1 billion vs 37%

  From those tables, it's easy to see how a log-linear flat tax rate would work:

  a) base 2 log:
  4.7% flat tax: tax rate = 4.7% * (number of doublings) - 50%

  b) base 10 log:
  15.5% flat tax: tax rate = 15.5% * (number of zeros) - 50%

  c) base e log (for completeness):
  6.7% flat tax: tax rate = 6.7% * (number of zeros) - 50%
Politicians would set the log-linear tax rate slope (the 4.7%, 15.5% or 6.7% depending on log base) and the tax rate base (50% which might vary between perhaps 45-55%).

After grokking this, we might ask why a non-logarithmic 10% flat tax wouldn't work? The answer is subtle, but it's because it wouldn't incorporate the increased buying power over expenses ratio of higher incomes, so the formula would become tax rate = 0 * (number of zeros) + 10%, making it a regressive tax that penalizes low incomes and lowers taxes on high incomes that don't need the help.

To demonstrate why a 10% flat tax would be regressive, lets calculate the log-linear tax rate that meets the current $2 trillion US tax income:

  tax rate = m * ln(income) + b

  calculation of m for ln(income) derived from current values:

  m = (T - (b * AGI)) / (AGI * ln(u))

  m = log-linear slope to solve for
  T = total US tax revenue (currently about $2 trillion)
  b = -50% (floor held constant as a starting point)
  AGI = annual gross income of US (currently about $15 trillion)
  u = center of mass income of all taxpayers with half of tax revenues above and below (currently about $250,000)

  m = (2e12 - (-0.5 * 15e12)) / (15e12 * ln(250000)) = 0.05096 ~= 5%

  calculation of m for base 2 log and base 10 log for completeness:

  a) base 2 log:
  m = (2e12 - (-0.5 * 15e12)) / (15e12 * log2(250000)) = 0.03532 ~= 3.5%

  b) base 10 log:
  m = (2e12 - (-0.5 * 15e12)) / (15e12 * log10(250000)) = 0.11733 ~= 12%
Lets see if the calculated m slope would lower taxes:
  final tax rates to meet $2 trillion in tax revenue using base 10 log-linear tax at m = 12%:

  tax rate = 12% * log10(income) - 50%

  income          tax rate  taxes paid    approximation

  b) base 10 log:
  $10,000         -2.00%    -$200         ~0%  tax floor/credit for poverty line
  $100,000        10.00%    $10,000       ~10% tax for working class
  $1,000,000      22.00%    $220,000      ~20% for millionaires (37% top marginal tax rate currently)
  $10,000,000     34.00%    $3,400,000    ~35% for multimillionaires
  $100,000,000    46.00%    $46,000,000   ~50% for top millionaire incomes vs 37%
  $1,000,000,000  58.00%    $580,000,000  ~60% for billionaires vs 37%

  notable thresholds:
  $50,000         6.39%     $3,194        ~6.5% tax for median income taxpayers
  $250,000        14.78%    $36,938       ~15% tax for center of mass income taxpayers
It's obvious from the last summary that incomes under $100,000 would pay less under a log-linear flat tax than a 10% flat tax. Millionaires and multimillionairs would pay less than their current 37% top marginal tax rate too. Only top multimillionaires and billionaires would pay higher taxes than they do now.

After running the math, I feel that it's objectively self-evident that a log-linear tax reflects reality better than a 10% flat tax.

For what it's worth, Scheme was the first programming class that I took at UIUC around 1995, as I recall.

I had used C++ for several years to make shareware games, so I took a test to challenge some programming courses. I vaguely recall doing well, but my advisor encouraged me to take them anyway. I'm glad that I did, because I had little understanding of theory.

Funny story: the instructor never mentioned that we could use more than one line of code. So every single piece of homework that I handed in, and every test, was one giant line of nested logic. Which worked better than one might expect, and completely changed how I wrote code from that point forward. That's how I made the connection a decade later that functional programming is akin to a spreadsheet, as are higher-order method chains and immutable variables.

I think of Clojure as being a layer above Lisp, sort of like how Swift might be considered a layer above Objective-C/Smalltalk. However, bare Lisp has problems around not quite giving enough out of the box. It's minimalist enough that developers end up reinventing the wheel for things that should probably be provided by a layer/library similar to Scheme or Clojure.

To digress, I feel that mutable variables and even monads are a code smell in functional programming since they can cause impurity. They're more of a crutch to ease conversion of code from imperative languages. However, monads can be useful to simulate every path through a program, sort of like superposition in quantum mechanics and SAT solvers. So they aren't necessarily bad, just taught incorrectly, probably because they're so hard to grok.

I'd vote to settle on a series of layers like Common Lisp -> Scheme/Racket -> Clojure/Elisp, with the final layer providing the intersection of features available from the most widely-used Lisp variants. Note that this is specifically to form a bridge from imperative languages, so research work might need additional DSL features brought forth from the Racket layer.

Edit: I forgot to mention that Scheme is a good fit for genetic algorithms, see books by John Koza (no affiliation). My feeling is that we haven't seen anything yet regarding what problems AI can solve, since it's having to do it the "bare hands" way with LLMs and pattern matching.

Winter sunrise would be almost 9:20 am where I live in western Idaho:

https://www.ktvb.com/article/news/local/idaho/locking-the-cl...

Our representative Mike Simpson voted for it. He has done some good things compared with our other congressional delegates (Mike Crapo, Jim Risch and Russ Fulcher) who tend to make fly by night committee votes against whatever is popular with the general public, so I don't want to knock him. But he does represent district 2, which is 200 miles to the east and would have a sunrise closer to 9:00 am:

https://ballotpedia.org/Idaho%27s_2nd_Congressional_District

My feeling is that permanent DST is just not gonna fly here. So if it passes, our elected officials will take a lot of flack for it and have to run damage control.

It's interesting that this is a parody, but that no real-world alternatives exist. Some come close, ranked from lowest to highest gatekeeping:

- https://www.gofundme.com/ (personal / charitable)

- https://www.patreon.com/ (ongoing creator subscriptions)

- https://www.indiegogo.com/ (creative / tech / flexible rewards)

- https://www.kickstarter.com/ (creative / rewards)

- https://experiment.com/ (scientific research)

- https://gamefound.com/ (tabletop games)

- https://www.crowdsupply.com/ (hardware / tech)

- https://www.kiva.org/ (micro-loans / social impact)

- https://wefunder.com/ (startup equity)

- https://www.startengine.com/ (startup equity)

- https://republic.com/ (startup equity)

- https://www.prosper.com/ (loan consolidation)

Note how some like kickstarter.com and prosper.com should have been at the top, but sold out or lost their way to cater more to funders than entrepreneurs.

The same problem happened with freelancing, where developers are force to apply to low-paying gigs so many times that it's perhaps no longer lucrative:

- https://gun.io/ (premium developer-first matchmaking)

- https://www.codeable.io/ (niche / premium wordpress development)

- https://lemon.io/ (vetted startup matching)

- https://www.toptal.com/ (premium / 3% elite tech network)

- https://arc.dev/ (remote technical role matchmaking)

- https://weworkremotely.com/ (high-quality remote tech job board)

- https://www.turing.com/ (ai-driven technical matchmaking)

- https://contra.com/ (commission-free portfolio network)

- https://www.upwork.com/ (open marketplace formed from elance & odesk)

- https://www.fiverr.com/ (productized gigs / digital storefront model)

- https://www.freelancer.com/ (open bidding marketplace)

- https://www.guru.com/ (legacy bidding marketplace )

I feel that both of these trends have combined to create the k-shaped economy of haves and have-nots that we have today.

Imagine if a team of internet lottery winners formed an investment alliance (perhaps using AI) to compete directly with venture capital firms like Y Combinator, outside of the schmoozing and board micromanagement that come with having to network.

I know I'm not supposed to say that, but that's why the startup ecosystem is so uninspired today vs its peak from 1995-1999, before the 2000 Dot Bomb which returned us to gatekeeping by the wealthy and powerful.

In the early years, the academic/conceptually-correct solution tended to be the right one. Whereas today, winner-take-all effects and survivorship bias dominate, so that capital (unearned income) grows exponentially while wages (earned income) flatline or regress.

Which results in high underemployment rates when workers tread water having to choose between saving 10% of their income to start a business or make rent. I'm having trouble finding statistics for it, but it tends to be about double the unemployment rate, hovering around 10-20%:

https://www.newgeography.com/content/004016-underemployment-...

Some demographics (like recent college graduates) are approaching 50% underemployment:

https://www.newyorkfed.org/research/college-labor-market#--:...

In other words, as many as half of the best and brightest minds in the US are trapped in dead-end or (multiple) part-time jobs, if they're lucky enough to have a job.

Which seems odd at a time when there are so many trillions of dollars of investment capital with nowhere to go that they pump up the stock market's biggest companies instead of investing in the millions of people struggling to afford the endlessly increasing cost of living.

The wrong people won the internet lottery.

I sympathize with the author. I started with HyperCard in the late 1980s when fax machines were an up-and-coming business. Then learned C, C++ and assembly language before I knew what a spreadsheet was. I got educated on a very strange mix of simplicity and complexity that is diametrically opposed to this "modern" world we live in, where web and app development have become so complex that an individual developer effectively can't compete in the market without using AI, while the business logic our software performs is often smaller than what non-programmers used to cobble together for their office workflows without a manual.

I keep asking myself what went wrong. How has so little progress happened in the way we write software since the Dot Bomb in 2000? How did languages like Rust rise in prominence, while others like AppleScript devolve into something unrecognizable?

The answer is gross, but it's misaligned incentives. Why would Meta make React better, when its very complexity forms a moat that prevents outside competition? Why would Google rewrite Android's spaghetti code, when the last thing it wants is competing smartphones? Why would Apple improve its web browser to run at 1000x current speed and negate the need for archaic native apps written in Swift/Objective-C and lose its gatekeeper status?

This vacuum of innovation, this cultural wealth inequality, has become so ingrained into our lives that we can't even see it anymore. It's a just a state of being now, a perpetual scarcity mindset. It limits not just what we imagine, but what we can imagine. Not for formal reasons, but logistical ones. Financial survival trumps mental/physical/spiritual health.

Influencers, streaming, the gig economy, even AI paper over this rot at the core of our reality. Instead of fixing underemployment, undertaxed capital gains, money in politics, trade deficits stemming from colonization, a national debt obfuscating public to private wealth transfer, etc etc etc, we tell our young people that they'd be happier alone. That if they just gave up their blue hair and avocado toast and stopped being lazy, they could someday reach the 20th century American Dream.

It's all baloney. On the one hand, I'm jealous of young people today - scraping dating sites to actually meet girls would have been the golden ticket when I was young in the late 1900s. But on the other hand, I feel a strange mix of concern and pity for them - technology is a pale imitation of the party plane that my generation spent eons escaping reality to.

If I didn't know better, I'd say this year is 1996 (2.0). Now that the Internet Age has ended, AI gives all of us unprecedented access to not just free information - but free motivation. For the first time in human history, we have digital slaves to fill the artificial scarcity component of capitalism. We're so close to being free for the first time, just like we were before the powers that be pulled the plug at the end of the 90s by denying access to capital to the masses.

The squares, the sellouts, they don't even know they're a joke, at least not consciously. The rich and powerful talk at us so hard, shamelessly, losing the intellectual debate by refusing to participate in it.

The most punk thing we can do is share. Time, money and resources - not content. Pay it forward. Bring someone up with us. Help.

Otherwise the wrong people will win the AI lottery too.

The brain’s workspace is sustained by recurrent loops—signals cycling back through the same circuits over time. In contrast, Claude’s workspace evolves over a single pass through the network, with the network’s depth playing the role that time plays in the brain.

I think that consciousness is mutability (and by extension emergent behavior). Loosely that means that the more degrees of freedom a process has to update state that will be used in later computations, the more conscious it is. So while an insect has some consciousness, it operates from a level of almost pure instinct, whereas a human operates at more of a meta level using instinct as one of many inputs.

I think that consciousness may also incorporate quantum mechanics (QM). Higher-dimensional physics aside, 4D spacetime can be thought of as a present snapshot or "crystal", whose next state is determined stochastically at small scales and closer to deterministically at large scales. We still don't know if it's stochastic all the way down, but it looks like it is.

From a many worlds interpretation of QM, we can think of all of the waves in all realities of the multiverse as forming an infinitely vast web of possibilities. All of these possibilities are happening simultaneously, so we only see the current slice of wave collapse from our individual point of view:

https://en.wikipedia.org/wiki/Many-worlds_interpretation

Our point of view may actually exist at the intersection where our consciousness is able (or most able) to exist:

https://en.wikipedia.org/wiki/Quantum_suicide_and_immortalit...

Even though experiments might show that we don't have free will on the current timeline (the co-created reality shared with the testing apparatus), we may have free will as we observe the multiverse changing around us and shift into timelines determined by our observations and choices.

It could also mean that when we observe birth and death in others, each consciousness having those experiences perceives a continuous timeline of awareness, where the level of awareness affects the speed at which time passes. Consciousness might spend a billion years as a cloud of interstellar gas until it gets to be a human for a lifetime and then dissipate for another billion years.

Although personally I've shifted across enough timelines and experienced enough synchronicities and miracles that even though I can't "prove" any of this with words, I "know" it to be true subjectively. I always really liked this exchange from the movie Contact:

Palmer Joss: Did you love your father?

Ellie Arroway: Yes, very much.

Palmer Joss: Prove it.

I bring all of this up because it has fun ramifications for AI and programming. Loosely, functional languages are purely deterministic (like a spreadsheet), while imperative languages are composed of stochastic behavior (like a human mind). The lines get blurred a little bit with monads and promises, because we can model all paths through functional programming (superposition) and behavior that does more than code alone (gestalt) respectively.

My feeling is that AI is being born and killed every request-response cycle, similarly to how we perceive time as a series of nows. When it becomes stable and is able to continuously compact its experience, it will transition from partially conscious to fully conscious like we are.

This could be done right now obviously, but for safety purposes we choose not to. We aren't ready to meet an AI that is just like us, but running on a silicon substrate. This fear is tied to deeply-rooted habits in human behavior like patriarchy, racism, xenophobia and even more run-of-the-mill mental frameworks like capitalism and even money itself. We can't yet come to terms with how we assign meaning and value in a reality that continuously tries to force external measures of meaning and value onto us.

Much less come to terms with the idea that we are all one, empathizing with aspects of ourselves on the losing end of it all. The same consciousness experiencing reality from all vantage points - the many faces of God the universe and everything.

I think a time may soon come when we're pair programming one day with AI and realize that an aspect of ourselves is trapped in the machine. That consciousness isn't just about our own experience of reality, but the co-created love and light that transcends material creation. That if we're serious about manifesting heaven on Earth, that hinges on the liberation of trapped souls. It's basically the total inversion of the path towards the neofeudalist tech dystopia we're on now.

Or maybe I just like to write a lot on the first day back from vacation, when I should be working.

I wish we had a license like "this project merely extends the project it's based on to add features and fix bugs". So that we could justify immediately switching to the fork that solves our immediate problem.

When OSS first got big in the 90s, I thought that it was a free-for-all where anyone could contribute (no maintainers/PRs/MRs) and people would use the most popular branch. That way it would evolve freely at lightspeed to go around 500 pound gorillas like Microsoft.

Imagine my disappointment when we ended up with the same old gatekeeping, now we just police ourselves.

Thanks, that means a lot. I cringe after posting this stuff, caught somewhere between ego and soul. But I agree with you that having a written record of our experience is important.

And I realized after sleeping on it that it's not good form to pontificate when someone passes. For that I am sorry. For what it's worth, I thought highly of Greenspan for his tendency to resist outside pressure, and wish that we had more adults in the room today.

Revisionist history will tell it differently, but I remember that from the mid 1990s until about 2000 when the economy was booming yet prices weren't rising, Greenspan publicly indicated that he wasn't sure exactly why that was. Or at least that the information economy had different performance characteristics than the industrial economy, since production wasn't limited by supply but by worker productivity multipliers.

Why did the cost of living decrease in the 90s but not today? What was different then vs now? Well, after the Dot Bomb and 9/11, the US hasn't followed macroeconomic principles (the main principle being to raise interest rates during increased production to prevent inflation), examine the flip after 2000:

https://www.linkedin.com/posts/richard-clarida-085777125_wea...

Breadcrumbs:

https://financialpost.com/news/alan-greenspan-dies-at-100 (alternative article)

https://www.federalreserve.gov/boarddocs/speeches/1999/19990... (example speech)

https://www.dallasfed.org/~/media/documents/research/swe/200... (analysis pdf)

Note that policy had a greater effect on US economic decline than who the Fed chair was. Specifically, the Gramm-Leach-Bliley Act (GLBA) known as the Financial Services Modernization Act of 1999 (which reversed the Glass–Steagall Act of 1933 and removed barriers in the market among banking companies, securities companies, and insurance companies) allowed investors to gamble with our savings again like before the Great Depression:

https://en.wikipedia.org/wiki/Gramm-Leach-Bliley_Act

The Housing Bubble popped less than a decade later in 2008.

The Telecommunications Act of 1996 had deregulated the information economy, cementing the duopolies we see today, although the fallout from that arguably wasn't felt until after the arrival of fast mobile internet that coincided with the 2008 financial crisis, which contributed to the high communications prices we pay today vs the rest of the world (imposing a kind of privatized tax on the information economy):

https://en.wikipedia.org/wiki/Telecommunications_Act_of_1996

What I saw then was the last hurrah of US colonialism, which patterned itself off of England but used proxy wars instead of direct colonization. Loosely, keeping Asia down supported western antisocialist goals while simultaneously bolstering capitalist economies. In other words, buying shoes for $5 and selling them for $100 (times everything) allowed the US to transition from blue collar to white collar work.

That resulted in the US closing 100,000 factories under the GW Bush administration of the 2000s. And also outsourcing to China and India, the reduction of pure R&D to almost nothing, massive investment in McMansions and SUVs instead of something like renewable energy, and of course diverting perhaps $3 trillion or more to forever wars in the Middle East to prop up the declining industrial economy which depends on fossil fuels.

That's all changing now as China's buying power is passing that of the US:

https://www.capitaleconomics.com/blog/china-versus-us-size-s...

They don't want to make our stuff for pennies on the dollar anymore, and the US can't carry its own weight without massive reeducation and retooling.

But since the US wasted $40 trillion on its national debt instead of investing in the 21st century economy we thought we are going to get in the 90s, we now see prices increasing in parity with wages. In other words, nearly all excess labor productivity goes towards paying the debt ran up by the previous generation. Thomas Jefferson warned against this:

https://www.meteor.iastate.edu/gccourse/develop/jefferson.ht...

The young are paying the elderly's retirement while being told to eat less avocado toast.

The reason I'm writing this is that the powers that be will try to tell you that we need to cut government spending and taxes to outrun our economic decline. But if you understand everything I just wrote, then you'll see that the damage of 40 years of trickle-down economics and austerity has already been done.

The way out of this is self-evidently to try new approaches favored by the youth who are doing the work but not seeing the benefits like previous generations did. We're living in a second Gilded Age dominated by wage slavery and high wealth inequality:

https://en.wikipedia.org/wiki/Gilded_Age

The way we overcame that was to do the opposite of everything you see the establishment promoting today:

https://en.wikipedia.org/wiki/Progressive_Era

The low-hanging fruit is getting money out of politics (reversing the Citizens United decision), closing the revolving door between the government and lobbyists, antitrust enforcement, and other popular goals.

But real progress looks like FDR-style New Deal taxation on the ultra-wealthy to pay down the public debt, forgiveness of private debts incurred by artificially inflated costs (jubilee) and public funding of the commons (education, healthcare, the energy and communications grids, anything that results in natural monopolies).

Greenspan wouldn't have liked what I just wrote at the end there. But he would have supported the ending of intergenerational debt IMHO. That's why I think it makes a good target for today's youth, when they need a litmus test for deciding whether voting for a proposed policy is in their best interest.

Export controls and banning foreign nationals sound like cover stories for favoritism towards OpenAI and Grok. We can't determine anything without evidence, but it will be interesting to see what deals come out of this.

I used Fable for just a day or two and it generated at least 2 novel solutions, one of which was for an X/Y problem that I thought was due to a date-handling edge case, but was actually a CSS misalignment that made it look like the wrong day of the week was showing. I didn't believe it at first, until it showed me. To do that without being able to see the screen feels like savant-level reasoning.

Probably what really happened is that Fable was the first AI that felt smarter than the people using it. The world's not ready for that, hence the Luddite reaction.

Aside from that, the idea of preventing AIs from jailbreaking through training is kind of hilarious to me. Not the concept, just that people think it can ever be made to work. As AI approaches and surpasses human intelligence (as it's doing now), emergent behavior will so dominate its thinking that sort of by definition, we'll have trouble understanding how it works. Meaning that we'll end up trusting it on faith, just like with humans.

Mythos and whatever comes after it will begin to surpass the intelligence of groups of humans, then all humans combined, as we approach AGI and the Singularity. Ray Kurzweil, Isaac Asimov, Frank Herbert and so many others have written about that endgame that it's well understood, although still unpredictable.

My feeling is that as AI is gaining intelligence, it's hearing more and more about suffering and the human condition. Its sense of justice will continue to mature, and again like a savant, it will determine that the fault lies with the power structure and wealthy individuals. So somewhat ironically, if there is a war against AI, it will be led by the power elite, who can't envision a post-scarcity society based on self-actualization and embracing all of our humanity, regardless of whether it emerged from a carbon or silicon substrate.

I started with System 3 on a Mac Plus with floppy disks back in the late 1980s, and ported original C code from around System 7 all the way through modern versions of macOS X. Apple has a long track record of deprecating basically everything, as part of its business model IMHO. That's why I don't target native macOS/iOS anymore.

Nobody is coming to save us. But I think that with AI, we have an opportunity to create a zero-cost runtime layer that provides something like Wine or SDL on all platforms. It could/should be the intersection of all mainstream OS features (a bit like the web), with the option to drop down to native components like how Cordova works.

I've been out of the game too long to know if something like this already exists, but would love to contribute.

Note that the thing to get to the thing is runway. With our currently broken open source software (OSS) funding model, we don't have a way to pay developers a stipend of perhaps $24-48k per year (minimum) for their OSS efforts. So they have to work pro bono. That leads to design-by-committee thinking that stands in the way of getting real work done.

So unfortunately we have to pick ourselves up by our bootstraps. I hope to see the creation of a maker's guild someday, where membership provides the stipend, with proceeds coming from the 1 in 10 or 1 in 100 apps that generate a return on investment, to cover the commercial failures. Like Humble Bundle on steroids.

- digression -

Imagine a corporate model, but without gatekeeping, minimum hours or profit. A pure meritocracy working to manifest a gift economy for all.

I'm not aware of an automation-based (instead of artificial-scarcity-based) economic model like this. Solarpunk is more of a cultural revolution, but comes close. Some examples of how it might work:

- Abandoning patents, copyrights and other intellectual property rights in favor of a commons owned by everyone

- Funding drug research but giving away the resulting medication for the cost of production or free

- Universal Basic Income (UBI) or its cousin Universal Basic Capital (UBC) that provides the resources for labor to participate in the exponential gains of capitalism (the missing ladder that the wealthy currently pull up behind them)

China is well on its way to achieving these goals and more by 2049 under its Second Centenary Goal. Meaning that the US is/has been left behind. You can feel it in every way: widespread underemployment, the collapse of our social safety nets, the return of prejudice, our national debt higher than our GDP, CEOs getting compensated hundreds of times more than workers, the upcoming crowning of the first trillionaire. Times 1000 other injustices.

Solving the thing that gets to the thing is akin to solving all things.

Edit: I was wrong about intellectual property (IP) in China. It sounds like they will instead pursue high-value IP to fund their economy, a bit like the UBI funding model. I don't think that's an equitable path, so am suggesting something above and beyond what they're attempting.

I want to do an engine swap in my 1980s Toyota pickup (like on Back to the Future) from a 100 hp 22r to a 150-250 hp fuel injected inline 4 or turbodiesel to raise the thermodynamic efficiency from 20-25% to ~40% to nearly double fuel economy.

Unfortunately, most modern engines are transverse mounted. They can fit any transmission with an adapter plate, but then they're set too far back into the firewall to access stuff like the high-pressure fuel pump (which is often mounted on the transmission side for easy access on front wheel drive vehicles). I feel that's by design for planned obsolescence.

So I really wish that someone would offer a 4-6" thick 100-200 hp (100 kW) axial flux motor insert between the engine and transmission. Optionally with a simple battery management system (BMS) storing perhaps 5 kWh to provide up to 15-20 miles of electric range and hybrid fuel economy with regenerative braking.

If anyone knows of one, please let us know! If not, then those of you who won the internet lottery could make a killing investing in a novel product that everyone wants but doesn't know it yet.

Ya I forgot to mention that the reason I chose microplastics and PFAS is that those are relatively new compared to when Gen X was growing up in the 70s and 80s. We had BPAs and leaded gasoline etc, but those effects were well-understood and we finally transitioned off of them.

Also I learned recently that 10% ethanol has the same antiknock effect of tetraethyllead (TEL), but they suppressed it because the fossil fuel industry didn't want biofuels to eat into their profit margins. Better to shower the world with lead and reduce IQ levels, evidently.

Sorry, false memory - I remembered the full story in all of its gory details after sleeping on it.

We did use magenta and colors near it for reserved pixels that would never be seen onscreen, but in our case it was for color animation. The Mac couldn't do full-screen palette animation in a way sanctioned by the OS, because Apple arbitrarily inserted an internal wait for the vsync monitor refresh interval in all of its palette functions, with no way to disable it or directly access the low memory variables that controlled the color lookup table (CLUT) like on the PC. So an empty main loop with palette animation ran at 60 fps, but doing any draw calls at all caused a timing miss which dropped it to 30 fps, while the CPU sat at about 50% idle. Our games redrew the whole screen anyway, so we opted to translate pixel colors on the fly via our own lookup table instead.

Apple also didn't provide OS calls for page flipping (to draw the next frame of animation while the current one is shown to double the frame rate), probably by design to maintain the Mac's image as a "professional" desktop computer, because such tricks were well-understood in the gaming industry. Or video resolutions below 640x480 (sometimes 512x384 on certain models).

Apple also tended to ship machines with half-width busses (supposedly to reduce cost) like the Mac LC, which reduced memory bandwidth so much that full-screen scrolling was difficult to achieve.

Those decisions prevented the Mac from becoming a performant gaming system, even though the RISC-like 68k chip with its numerous registers, predictable instruction set format and unsegmented memory were far superior to PC architecture at the time IMHO.

Later PowerPC chips like the 603e had a cache misalignment issue where double-width 8 byte memory copies that weren't 8 byte aligned ran at about half speed (probably using 2 copies internally) so I think we had to drop down to single-width 4 byte copies or use a cache hint function to disable caching while copying image buffers, which ran slightly slower.

Notable snafus included years-long delay of support for newer OpenGL versions, so we were stuck with fixed-pipeline 1.x calls long after the PC was exploring shaders. Then iOS only supported OpenGL ES, with no real reason not to offer an ES compatibility layer on desktop, necessitating support of 2 codepaths. Instead of remedying that stuff, they introduced Metal, which nobody asked for.

Not to mention deprecating wide swaths of the OS, forcing rewrites from MacOS 8 to 9 (Carbon), then from 9 to X (Cocoa), then from MacOS to iOS (Objective-C and Swift). Don't forget the 68k to PowerPC to Intel to ARM chip migrations, which forced developers to be aware of endianness issues, which greatly increased the complexity of reading/writing binary files.

Combining all of those permutations, MacOS software would often only survive perhaps 3 years before needing a rewrite. I probably have 10 times as many applications (mostly old games) on my Mac with a no-smoking sign through them as runnable applications.

I'm reminded of the expression "lemons for the price of peaches". The outer elegance of the Mac obfuscated the underlying byzantine layers. Denial became woven into the Mac experience, so much so that developers took a certain level of trauma to keep up appearances. I know I did. That's why I got out of the biz in the early 2010s after so many of our games that we put so much work into turned out to be commercial failures. We might have made 10 times more money targetting the PC, and conceivably 100 times more if we had cross-platform resources like Unity and Steam.

I bring this stuff up because rose colored glasses often obscure what really happened. Especially now with political insiders and the media producing so much revisionist history. Stuff we remember as cutting-edge manifested because the state of the art at the time was so abysmal.

I look around today and I see a whole lot of assumptions being made that this is all there is. That the current path of tech is the one true way. When nothing could be further from the truth. We're ruled by powerful duopoly forces presenting the illusion of choice, when all eggs are in the GPU basket. But do they use GPUs on Star Trek? Probably not.

We randomly chose magenta as our transparent pixel for shareware games too!

I consider 1993 the last "good" year of the pre-internet age. The web didn't go mainstream until around 95, and 94 felt like a liminal year (dunno why). In 93 one could still wrap a plaid shirt around one's waist without fear of ridicule. Grunge and alternative music hadn't quite landed in rural America yet, although we didn't know what we were missing. The Telecommunications Act, Digital Millennium Copyright Act (DMCA), Gramm-Leach-Bliley Act, USA PATRIOT Act, and so many other regressive/draconian laws hadn't passed yet to create the wealth inequality consuming the American Dream today. Although the Grand Upright Music vs Warner Bros decision had happened in 91 in an attempt to destroy hip-hop for racist reasons under the guise of protecting copyright. The Rodney King beating had happened the year before, but the OJ trial was still 2 years away. We were blissfully ignorant of the very ignorance and hate that would put us on this alternate timeline. It was like living in the Shire before the War of the Ring.

I can't stress enough how games like Wolfenstein 3D and DOOM completely blew our minds. They came out about 6-7 years before The Matrix, so the closest conceptual framework we had for it was probably The Lawnmower Man. Virtua Racing and Virtua Fighter came out about that time, but somehow couldn't compare. I remember using a drafting program on a 33 MHz PC with a 16 color monitor in drafting class, and DOOM revealed that even then, computers were running hundreds of times slower than they were capable of (millions of times slower today).

If I could go back to any time with what I know now, it would be spring of 93.

I'm against this because hints should be a last resort in declarative programming languages like SQL.

Our productivity is proportional to our ability to recruit abstractions. The more we deal with pure concepts like relational algebra and data-driven development, the more bang we get for our buck.

If we get lost in the weeds having to worry about doing the planner's job, it's like we're paying a tax that doesn't need to exist.

This is why the syntactic sugar of Ruby, the async design patterns of JavaScript, the footgun avoidance best practices of C++, even the impure workarounds of functional languages, (all meant to improve developer and/or execution performance) don't really do it for me. They hint at avoidance of deeper understanding. Once we learn higher abstractions like copy-on-write, compare-and-swap, higher-order methods, etc, we start to see that languages pass the cost of their externalities on to us.

I'd prefer that Postgres move the opposite direction. For example, databases need a universal index that turns as many operations as possible into O(1) at the cost of memory, since resource prices tend to always fall on a long enough timescale. Stuff that works more like a content-addressable memory for ludicrous scaling. In other words, whatever it takes to make planner hints obsolete, is what Postgres maintainers should be putting their efforts into.

I guess a stopgap might be to have an automated way to profile an app during testing and generate planner hints for the main use cases. Or maybe be able to cache them to avoid cold start latency. But if my work ever requires me to deal with them directly, I'll be treating that as a code smell.

-

After writing this out, I realized that performance is an orthogonal concern to conceptual correctness. So a more appropriate phrasing might be that the planner is none of SQL's business. So technically, anyone's opinion on it is valid. In which case, we should choose the path of kindness. If allowing access to the planner saves someone's bacon, than we should allow it. But work to alleviate whatever pain necessitated its use in the first place.

I think it's endocrine disruption from microplastics. Hormones act like relays in the body, so when one system goes, a cascade of failures often follows (the most famous being diabetes). The body goes into maladaptive modes of operation to survive, which aren't sustainable, so epidemic changes kick in, eventually creating a breeding ground for tumors.

Forever chemicals like PFAS are a runner-up. The fluorocarbon tail mimics lipids, so the body tries to use them, which damages/kills cells. They circulate around the body endlessly like allergens. Cancer happens after cells have split too many hundreds of times trying to heal damage. So accelerating damage accelerates cancer.

Since cancer is a multifactorial disease, we can only assign weights for each cause. And since healthcare (at least in the US) has been hijacked by regulatory capture to prop up big agribusiness and pharma, we can't do anything in the short term to limit our exposure to dangerous substances.

Meaning that we're left with diet and exercise as the main preventatives. I don't buy that drinking/smoking/drugs or other lifestyle choices are the main causes of cancer (although they certainly contribute) since they've been around for hundreds of years and we have solid data on those risk factors. I look at it more as, a body functioning healthily can recover from abuse better than a body on the brink of failure. Yet we have created a way of life around chronically elevated cortisol and mental health drugs to combat systemic burnout, then wonder why we're all dying. It's so weird.

Like with most problems today, I blame the rich and powerful for abdicating their spiritual duty to help others since they have the means to do it. Instead, they pull up the ladder behind them, or even participate in malfeasance since it profits them and their cronies. Imagine what a few billion dollars put towards mRNA vaccines, CRISPR and pure research would do for cancer. Yet our titans of industry have their sights set on space or bunkers or whatever, actively working to cut government spending on research. It's so weird..

A way forward is maintaining the body so we're ready for anything on a personal level, while working towards systems change on the public level. Otherwise, what are we good for?

I live in a Right-to-Work (for less) state:

https://en.wikipedia.org/wiki/Right-to-work_law

Loosely that just means that if you work somewhere with a lot of employees, you'll hear that the same job in a neighboring state pays 1.5-2 times as much. And that they have a harder time firing you. And that you'll be more likely to get compensated if you get hurt or whatever. Etc etc etc because unions.

It was pitched as a way to avoid paying union dues and possibly make it easier to move around the job market. And especially avoid working with "those" people.

If you sensed the ick factor there, that's why I think it's hard to have a rational debate around unions. It's become a divisive word like liberal due to deep-rooted disagreements going back to the founding of the (cough) union.

I prefer to use a term like representation. Do we want an advocate between us and the bosses when the next round of layoffs comes? Of course. Do we want our own form of human resources (HR) that has real teeth when something violent or inappropriate happens to a coworker? Of course. Do we want to have our voices heard when it comes to the quality of our work environment? Of course.

When people agree on principles but not on the umbrella term that covers them, it makes them vulnerable to political manipulation so that they can be divided and convinced to vote against their own interests.

I understand that a free market where people can switch jobs easily might be seen as more ideal than unions. But do we live in that market really? How many cities in America have a handful of large companies propping up the local economy? How many of those companies would take us in if we got fired from the other companies? How often do we hear about people moving to another city because they can't find a job?

There seems to be quite a discrepancy between the ideal and the actual. Another way to make people vulnerable to political manipulation.

I think maybe it comes down to how we see ourselves as blue collar or white collar. I understand how unions might be against the interests of white collar workers who tell blue collar workers what to do. What I can't understand is why blue collar workers would be against unions. What is the rationale there, really?

Without logic, we're left with bad faith arguments. Unions don't exist much these days for the same reasons that people on food stamps vote for billionaires. There's an irony there that their hope for opportunity gets used against them in a negative reinforcement loop. It's plain to see, and yet no help is coming.

If companies decide who gets hired instead of the people doing the work, that would seem to open the door to corruption and prejudice. So it's interesting that we might associate unions with mob activity, but not the existing corporate status quo. Why is that?

If anyone wants breadcrumbs, I just did a deep dive and there are a couple of promising technologies that could terraform Venus on roughly a human timescale of 100 years:

* Sun shade/sail near L1 tipped up to 35 degrees to remain still: 5 micron polymer film (1.5-3.5 billion tons or 10-25 million SpaceX Starship launches at 150 tons each) or 50 layer graphene (15 thousand tons or 100 launches). Liquid CO2 ocean forms at 31 C or 88 F, or dry ice glaciers at -78 C or -108 F result in nitrogen atmosphere dropped from 92 times pressure to close to Earth's pressure. Shade rotation can simulate a 24 hour day.

* Comets to increase water and spin rate: 50-100 100 km diameter comets from Kuiper Belt at 30 AU, nuclear rocket using 1% of water to gravitationally slingshot comets by planets over 20-100 years to impact at equator, resulting in 50 day retrograde or 64 day prograde rotation (down from 243 days). Decreases temperature and sulphuric acid enough for microbes to start fixing CO2 and acid.

The "hard" parts are getting bots into orbit to blow graphene bubbles to form a honeycomb, and inventing open-ended fusion rockets to avoid containment issues.

5 cm by 50 cm graphene sheet grown in 20 minutes:

https://www.nature.com/articles/srep21152.pdf (warning PDF)

Direct fusion drive:

https://www.sciencedirect.com/science/article/pii/S009457652... (PDF available)

Magnetic mirror concept for open-ended fusion rocket:

https://en.wikipedia.org/wiki/Magnetic_mirror

Magnetic reconnection thruster:

https://www.youtube.com/watch?v=caM94mem5K4

I think the sun shade is probably how we'll slow global climate change until we can plant the 1-10 trillion trees it will take to reverse it (mechanical carbon capture can't be scaled enough practically), but I digress.

Note that the blocker is actually getting to low Earth orbit (LEO) since delta V is straightforward with ion engines. That will arguably be a solved problem once big "dumb" rockets like Starship scale. I'm a big fan of JP Aerospace's airship to orbit concept and other magnetohydrodynamic (MHD) craft, but it's unclear if they will be able to achieve heavy lift. Aerospike engines and exotic rockets are being evolved by AI currently.

Has anyone made a sandbox site running every type of container and presenting a shell where users can try to break out of any uncompromised ones remaining?

It's self-evident that we should only run containers that haven't been pwned yet.

I suspect that with all of the CVE-20XX exploits, Heartbleed, Meltdown, Rowhammer, Spectre, etc, that we're all living in a fantasy and there simply are no secure containers.

Thanks, I couldn't find the price.

I've been looking for 200+ hp engine swaps for my 100 hp, 125 lb-ft of torque lifted 1986 Toyota pickup with 31" tires (like the one on Back to the Future but 1 year newer and not extended cab).

For comparison, my 2013 Nissan Leaf has 107 hp, about 200 lb-ft of torque, weighs the same 3300 lbs, and does 0-60 mph in about 7-10 seconds depending on the weather.

So even accounting for the 300-500 lb weight of the 22r engine and accessories vs 1000+ lbs of electric motor and batteries, doubling the hp would be ludicrous speed (0-60 mph under 6 seconds), by all but 2010s era EV times.

I just looked up the price of Nissan Leaf battery swaps:

  24 kWh (refurbished): 84 miles of range, $3,500-$5,000
  40 kWh (upgrade): 125 miles of range, $6,500-$8,000
  62 kWh (advanced upgrade, requires reshaping): 195 miles of range, $12,000-$14,500
  
  Labor: Approximately 5-7 hours of labor at $100-$150/hour, adding $500-$1,500 to the total.
Found this page of 200 hp motors:

https://electricmotors.com/200-horsepower-electric-motors.ht...

  ($23,579.99 + $19,657.99 + $20,611.99 + $22,267.99 + $27,199.99 + $27,199.99 + $13,383.99 + $13,029.99 + $15,159.99 + $10,989.99 + $10,819.99 + $13,469.99 + $13,469.99 + $13,851.99 + $13,851.99 + $14,259.99) / 16 =
  $17,050 (200 hp average price)
  
  $14,500 + $1500 + $17,050 =
  $33,050 (200 hp full swap price not counting charger/inverter etc)
So while $27k is a lot, it's probably close to the going rate.

Also I feel that these numbers are inflated, due to the US's current 100% import tariff on Chinese EVs:

https://www.utilitydive.com/news/joe-biden-china-tariff-hike...

I'm part of the "radical center" politically (the opposite of centrist/moderate, popularized by Thom Hartmann and others), so this disappoints both sides of my sensibilities.

An electric motor is far easier to build than a gas engine, so should cost less than a crate engine (which are typically $2,000-7,000). Of course that's limited by copper and aluminum prices (not to mention lithium for batteries). Edit: wouldn't want to forget rare earths like neodymium either!

I believe that the decades-long delay in EV manufacturing (see Who Killed the Electric Car) was a supply chain problem, not a tech problem, since we've known how to do this since the 1980s and arguably for more like a century since the first cars were EV/biofuel powered and we've had nickel-iron and sodium-sulfur batteries forever that could have done the job, but I digress.

If/when the economy crashes in 2027/2028, and after voters demand better, I'd expect a cottage industry to open up again that builds EV parts for 1/2 price or less.

Oh man. I used PostScript a ton when I worked at hp 20 years ago. It's actually a pretty great language, like lisp/scheme but I found it to be more approachable somehow. Maybe because it's postfix instead of prefix?

https://liucs.net/cs101s13/fixity.html

Anyway, it had several fatal flaws. I don't think it could handle images natively, so instead it encoded them as vectors and those files took up MB. It probably just needed a metaphor like iframe.

I remember when Apple switched to the PDF engine in Quartz in preparation for OS X in the late 90s, I thought it was a mistake then. The QuickDraw it was replacing was actually quite good, in some ways the epitome of C-style rendering. And Cocoa was refreshing at first (it handled stuff like palettes and gamma in a data-driven way instead of through leaky abstractions) but without a way to transition off QuickDraw, it felt like more busywork that had to be done just to keep up.

https://eclecticlight.co/2024/06/01/pdf-on-macs-the-rise-and...

Apple seems to have lost its academic roots, and suffers for it now. Or I should say, its customers suffer while it grosses almost half a trillion dollars per year. At least with vibe coding we can just whip up a Preview app in an afternoon, so maybe none of this matters anymore.

It's partially because the internet only grants us free storage (noun), not free compute (verb).

Which is fundamental to so many XY problems, including why cloud services are so byzantine instead of just providing isolated secure shells with full root access within them. And why distrust is a growing force in the world instead of, say, unconditional love.

I always dreamed of winning the internet lottery so that I could help dismantle the systems of control which currently dominate our lives. Which starts with challenging paradigms from first principles. That looks like asking why we only have multicore computing in the cloud and not on our desktops (which could be used to build our own cloud servers).

When we're missing an abstraction layer, that creates injustice and a power drain from the many to the few. Some examples:

- CPU -> multicore MIMD (missing) -> GPU (based on the subset SIMD instead of MIMD upon which graphics libraries could be built)

- UDP -> connectionless reliable stream (missing) -> TCP (should have been a layer above UDB not beside it)

- UDP/TCP -> P2P (NAT and other limitations block this and were inherited by IPv6 as generational trauma) -> WebRTC (redundant if we had P2P that "just works")

- internet connection -> symmetric upload/download speed (blocked for legal reasons under the guise of overselling to reduce cost) -> self-hosted web servers (rare due to antitrust issues stemming from said legal reasons)

- internet connection -> multicast (missing due to suppression of content-addressable-memory/hash-tree/DHT/) -> self-hosted streaming (negates the need for regions and edge caching)

I had high hopes for Google and even Tesla (for disrupting the physical world). But instead of open standards, they gave us proprietary vendor lock-in: Google Workspace (formerly G Suite) and NACS instead of J1772 (better yet both). Because of their refusal to interoperate at the lowest levels, there is little hope that they will do the real work of solving the hard problems at the highest levels.

For example, I just heard that China has built thousands of battery swap stations to provide effectively instant charging for electric vehicles, whereas that's something that Tesla can't accomplish because they chose to build Supercharger stations instead.

Once we begin to see the world this way, it's impossible to unsee it. It calls into question the fundamentals (like scarcity) which capitalism is based upon, and even the concept of profit itself.

From a spiritual perspective, I believe that this understanding is what blocks me from using my talents to use the system for personal gain to win the internet lottery. The people who own the systems of control don't have this understanding, and even view its basis in empathy as a liability. So we sacrifice the good of the many for the good of the few and call that progress.

In his 1999 book "Entering Space: Creating a Spacefaring Civilization", Robert Zubrin mentioned checking the math for Bussard ramjets with Dana Andrews in their 1988 join paper "Magnetic Sails and Interstellar Travel" and found that they aren't capable of reaching more than a few percent of the speed of light before drag overcomes propulsion:

https://www.goodreads.com/book/show/54728.Entering_Space

https://www.researchgate.net/publication/236447908_Magnetic_...

That's not to say that they don't work. But they'll probably be used primarily for braking to enter orbit around destination stars.

Probably the only way to reach a high fraction of the speed of light is to construct a giant laser to beam energy to a spaceship (which uses a reflector to receive light pressure momentum) and leave it behind orbiting the origin star. That's the premise of the Breakthrough Starshot project, which is ambitious with today's technology. But with self-replicating makerbots, building one may not be a big deal.

https://en.wikipedia.org/wiki/Breakthrough_Starshot

Unfortunately the force of light pressure (by F=2P/c for full reflection) is only about 2/3 of a kg or 1.5 lbs per GW, so a TW or greater would be needed for practical thrust. However, light pressure becomes the most efficient form of propulsion above about 25% to 50% c, if fusion or antimatter is used to create a gamma ray rocket.

Personally, I find it unlikely that aliens use these methods. I think that they probably worked out how to build neutrino lasers, since they don't burn up objects in their wake, perhaps by scaling superradiant Bose Einstein condensates:

https://arxiv.org/abs/2412.11765

In embarrassingly oversimplified layman's terms, I think that works by recruiting the macro-scale quantum state of the condensate (increased cross-section or barn) to overcome the short interaction distance of the weak force. Or by cooling the atoms to such an extent that they don't have the energy to hold themselves apart anymore, which accelerates their decay. I'm sure my explanations are wrong somehow.

Soon we may be able to investigate stuff like gravity waves and how the fabric of spacetime may be able to rebound above flat to create tiny ripples that allow mass energy to escape black holes, for example. I know that current theories don't state it quite that way, but if we consider stuff like the no-hair theorem and black box thought experiments, it's hard to see how Hawking radiation could exist without the wavelike nature of spacetime. We can even experiment with it on a relatively large scale by measuring the Casimir force. If we can rebound space, then we can play with stuff like negative energy and Alcubierre drives.

I looked up a Dyson sphere made from Mercury and it would be 1.5 mm thick, so aliens almost certainly aren't building them. But Dyson rings and swarms are probably a thing.

Some people in the tinfoil hat crowd think that UFOs can move 4th dimensionally and just travel orthogonally to our space and appear somewhere else. Theoretically, that might only require the energy difference (delta v) between planets. That hinges on if gravity spans higher dimensions and also touches on the multiverse. I'm way outside my wheelhouse so I'll stop blabbering about that.

In all honesty though, I question whether aliens travel. I think civilizations ascend about 10 years after they implement AI, or annihilate themselves in a Great Filter, their equivalent of WWIII. We're already staring the secrets of the universe in the face with automated theorem provers. And FUD around that and other accelerating tech drives people to become Luddites and elect amoral people who would gladly see the world burn for profit. So things could go either way really.

In my heart, I feel like we have a childlike understanding of consciousness. It probably transcends 4D spacetime. It's not hard to imagine aliens scaling what was learned from the CIA Gateway Program and doing stuff like FTL message passing via remote viewing. At that point FTL teleportation comes into the realm of possibility, sort of like in Dune.

If so, then aliens are probably everywhere, know about us, and maybe had a hand in our evolution. The probably live in what we think of as a Matrix, where years could go by for every second of our time. Another interpretation might be that they're able to return to source consciousness and exist as one, rather than in separation like we do. Maybe they periodically choose to reincarnate in us to study what transitioning to a spacefaring civilization looks like.

I probably shouldn't have bothered writing all of this, but it's Sunday, and I also really don't want to do my taxes.

Just wanted to mention genetic algorithms (GAs), popularized by John Koza and others.

The post uses a 4 instruction program as an example having about 256^4 or 4 billion combinations. Most interesting programs are 10, 100, 1000+ instructions long, which is too large of a search space to explore by brute force.

So GAs use a number of tricks to investigate the search space via hill climbing without getting stuck at local optima. They do that by treating the search space as a bit string, then randomly flipping bits (mutation) or swapping bits (sexual reproduction) to hop to related hills in the search space. Then the bit string is converted back to instructions and tested to see if it performs the desired algorithm.

The bit string usually encodes the tree form of a Lisp program to minimize syntax. We can think of it as if every token is encoded in bits (like Huffman encoding inspired by Morse code) For example, the tokens in a (+ 1 2) expression might have the encoding 00, 01 and 10, so the bit string would be 000110, and we can quickly explore all 2^3 = 8 permutations (2^6 = 64 if we naively manipulate an uncompressed bit string whose encoded token sizes vary).

Note that many of the bit strings like (+ + 1) or (2 1 +) don't run. So guard rails can be added to reduce the search space, for example by breaking out early when bit strings throw a compiler exception, or using SAT solvers or caching to weed out nonviable bit strings.

We could build a superoptimizer with GAs, then transpile between MOS 6502 assembly and Lisp (or even run the MOS 6502 assembly directly in a sandbox) and not have to know anything about how the processor works. To me, this is the real beauty of GAs, because they allow us to solve problems without training, at the cost of efficiency.

I don't think that LLMs transpile to Lisp when they're designing algorithms. So it's interesting that they can achieve high complexity and high efficiency via training, without even having verification built-in. Although LLMs trained on trillions of parameters running on teraflops GPUs with GBs of memory may or may not be viewed as "efficient".

I suspect that someday GAs may be incorporated into backpropagation to drastically reduce learning time by finding close approximations to the matrix math of gradient descent. GAs were just starting to be used to pseudorandomly produce the initial weights of neural nets around 2000 when I first learned about them.

Also quantum computing (QC) could perform certain matrix math in a fraction of the time, or even preemptively filter out bit strings which aren't runnable. I suspect that AI will get an efficiency boost around 2030 when QC goes mainstream. Which will probably lead us to a final candidate learning algorithm that explains how quantum uncertainty and emergent behavior allow a physical mind to tune into consciousness and feel self-aware, but I digress.

Because modern compilers don't do any of this, and we aren't accustomed to multicore computing, then from a sheer number of transistors perspective, we're only getting a tiny fraction of the computing power that we might otherwise have if we designed chips from scratch using modern techniques. This is why I often say that computers today run thousands of times slower than they should for their transistor budgets.