2025-04-09 08:00:00
I learned essential etiquette from LimeWire.
When freebooting on the web, people participate in a sort of distributed iterated prisoner's dilemma. Everybody shares bandwidth; everybody risks prosecution.
These conditions naturally create "seeders" and "leechers" -- those who create surplus, and those who exploit that surplus.
You also attract scammers and (angelic) archivists.
Networks are characterized by their incentives. The seeder/leecher distribution is largely determined by risk/reward (e.g. payoff matrices).
One investigation showed that of 123 randomly selected downloaded files, 37 contained malware – about 30%.
-- via Wikipedia
Within a network, individuals exercise discretion; the sum of rational decisions determine the fate of the network. Sometimes these equilibria tend toward tragic commons.
But humans can act irrationally. Some scoundrels pay dearly to reap revenge. Some Good Samaritans sacrifice their lives for others. Game theory only works when people play the game.
Trust lubricates networks; nodes can skip verification to contribute more surplus. You don't need proof-of-work in a high-trust society.
TLS costs more than TCP.
One such verification shortcut is etiquette. When individuals follow certain norms/conventions, they're signaling a willingness to participate a high-trust game.
Pedigree is another shortcut.
I went to see Mrs. B (Rose Blumkin), carrying a 11/4-page purchase proposal for NFM that I had drafted…. Mrs. B accepted my offer without changing a word, and we completed the deal without the involvement of investment bankers or lawyers (an experience that can only be described as heavenly).
-- Warren Buffet, Berkshire Hathaway 2013 Annual Report
My ideal world runs on handshake deals, but unverified agreements invite exploitation. When a pot grows too large, people defect.
Ray Kroc allegedly forsook his handshake deal with the titular McDonald family.
Prior to April 2004, the free version of LimeWire was distributed with a bundled program called LimeShop (a variant of TopMoxie), which was spyware. Among other things, LimeShop monitored online purchases in order to redirect sales commissions to Lime Wire LLC. Uninstallation of LimeWire would not remove LimeShop. These objections were addressed in 2004 with the removal of all bundled software in LimeWire 3.9.4.
-- via Wikipedia
As wolves don sheep's clothing, etiquette evolves new signals. The meta changes. "Networking" events fill with leechers; seeders start secret high-trust clubs.
Reputation is the evergreen shortcut. It is hard to earn, harder to keep, and nearly impossible to salvage.
Reputable BitTorrent archives remain. Consider donating to archive.org, scihub, Anna's Archive, and LibGen.
To earn reputation, (1) act predictably and (2) maximize your seed/leech ratio.
Most real-world games are iterated. Predictable actors are more valuable than unpredictable ones.
Optimizing seed/leech ratio is a wicked problem. Nobody can define what seeding/leeching means for you, nor whether you're succeeding, nor whether it leverages your unique life experience.
Open-source software culture is exemplary. Where can you make the most impact in OSS? Contributing to an existing project or starting a new one? To serve the status-quo or betray it? Solving a few big problems or lots of small problems? Individual contribution or management or governance? DPS, support, or tank?
When seeding your network, you learn how the system really works. By continued good-faith effort, you discover friction and opportunity.
I experienced this phenomenon on this blog. By sharing others' essays online (e.g. HN), I honed a sense of valuable/viral content. By consistently contributing such surplus, I've learned to anticipate specific wants/needs of the network. It's wholesome fun -- promoting friends' blogs and tickling the imagination of the masses.
Like money, you can apply leverage to reputation. By staking time/resources/connections on people, you extend your reputation like a line-of-credit. Each time this cycle succeeds, surplus can be reinvested in your local network.
As surplus grows, people become more tempted to defect. Beware greed; embrace "enough". Prune disreputable acquaintances. Adhere to your principles; continue to pursue others' wants/needs. Establish trustworthy neighbors and help them flourish.
It's difficult to identify/articulate "core" issues, and most polite folks will not advertise their troubles. People appreciate an opening for sincere dialogue: "What are you looking for right now?", "How can I help?", "Need any money for that?", and so on.
Lately, I've been working hard to (1) find "dream" jobs for friends, (2) find capital for friends' startups, and (3) find startups for my friends' funds. It costs me nothing to dramatically improve the lives of my loved ones. Ask friends what they want; go make it happen.
Extend trust; tragic commons are not inevitable. Don't let the leechers win. Flood this world with abundance.
2025-03-28 08:00:00
Loyal bytes toil in memory, on disk, across wires, etc. They crunch our numbers; we cast them to the garbage collector. Et tu, brutus computus.
And so I've been thinking about "compassionate" compilation. How can we learn to love our languages again? How can we reduce our energy footprint? How can we tame the chaos monkeys? How can we reignite the joy of simple software? How can we share our abundance as if recycling air?
Modern web computing looks vaguely like this:
This is barely a map of the happy path. It skips error states, compiler internals, OS, CI, package management, containers, garbage collection, CPU caches, etc. How many allocations--
Nope. It's too much for my sad synapses. I cannot pretend to comprehend the journey that my data take to load a single web app.
Computers are crafted at the nanometer scale; they are the pinnacle of human precision. But software squanders this power. Our precision engines evoke frustration, bugs, and inconsistency -- "did you try turning it off and on again?". Codebases devolve into chimeras of LEGO, Lincoln Logs, cement, popsicle sticks, duct tape -- software cannot succeed like this.
But to wrest LEGO and Lincoln Logs from y'all would be folly. I cannot coerce an entire industry to converge on compatible standards. No, no -- please keep your familiar tools/toys.
Here's my proposal: we choose one "good enough" data layout, and we squeeze it for as much mileage as it can bear. Such a format must encode most popular formats, respect bandwidth, support single-pass execution, allocate sparingly, afford sublinear lookup (for lists/dicts), and remain simple to understand/implement. Good news: our computing forefathers already solved these problems -- we just need to cram them into a single convenient package.
tl;dr flat scraps = bootleg MsgPack + bootleg IPFS + bootleg XSD + bootleg FORTH
Integers, floats, strings, bytes, arrays, maps, variants, types -- any serialization format that encodes these data will do. CBOR and MsgPack are reasonable starting points.
Flat scraps are still in the discovery phase! Meanwhile, check out Max Bernstein's elegant ~100 LOC scrapscript serializer.
Most popular markup/config/data formats (JSON, YAML, XML, CSS, HTML, CSV, Dockerfile, etc.) can be efficiently encoded as CBOR/MsgPack (sketched here as scrapscript types):
()
; csv :
list text
; css :
list css-rule
; css-rule :
| #style { selector : text, declarations : list decl }
| #at { name : text, prelude : text, block : maybe (list decl) }
; css-decl :
{ property : text, value : text, important : bool }
; html :
xml
; xml :
| #text text
| #float float
| #bool bool
| #object (list xml)
| #doctype { name : text, attrs : dict text xml }
| #tag { name : text, attrs : dict text xml, body : xml }
; yaml :
json
; json :
| #null
| #bool bool
| #int int
| #float float
| #text text
| #list (list json)
| #dict (dict text json)
; dockerfile :
{ base : (pair text text)
, instructions : list (
| #from (pair text text)
| #run text
| #copy (pair (list text) text)
| #workdir text
| #env (list (pair text text))
| #expose (list int)
| #volume (list text)
| #user text
| #entrypoint (list text)
| #cmd (list text)
| #comment text
)
}
CSS parsers should live in editors, not browsers. You can still write as much CSS as you want -- just don't send it around as CSS text. Text is floppy. It's hard to cache, hard to compress, hard to parse, hard to validate, etc. Send data structures instead.
By shoving all these data structures into the same serialization format, all software can reap the rewards of common infrastructure: shared compression, shared schema validation, shared optimizations, shared versioning, etc.
Scrapscript (and flat scraps) extend "sharing" further. You can replace any "scrap" of data with its cryptographic hash to reference it and reuse it. For example, we could serialize HTML pages like this:
<html>
<html title="meta" href="scrap://$e9a23cbc455158951716b440c3d165e0"/>
<body>
<html title="header" href="scrap://$099fb995346f31c749f6e40db0f395e3"/>
<main>
<p>hello world</p>
</main>
<html title="footer" href="scrap://$d7eb6b340a11a367a1bec55e4a421d949214759f"/>
</body>
</html>
Suddenly, without any syntax changes, every format acquires the powers of git at the semantic level. Replace any chunk of JSON/CSV/etc with its hash and it can hit a cache on the other side of the wire.
It gets better. We can use scrap maps to name (and version) arbitrary hashes:
<html>
<html href="scrap://taylortown/example/meta"/>
<body>
<html href="scrap://taylortown/example/header"/>
<main>
<p>hello world</p>
</main>
<html href="scrap://taylortown/example/footer"/>
</body>
</html>
But wait -- it gets even better.
Flat scraps have a type system. Imagine succinct JSON Schema, friendly XSD, serializable Haskell, etc. You can reuse all the exact same tools for maximum strictness:
package-json
; package-json :
{ name : text
, version : text
, description : maybe text
, main : maybe text
, types : maybe text
, scripts : dict text text
, repository : maybe { type : maybe text, url : text, directory : maybe text }
, keywords : list text
, author : maybe { name : text, email : maybe text, url : maybe text }
, license : maybe text
, bugs : maybe { url : maybe text, email : maybe text }
, homepage : maybe text
, dependencies : dict text text
, devdependencies : dict text text
, peerdependencies : dict text text
, optionaldependencies : dict text text
, engines : maybe { node : maybe text, npm : maybe text }
, private : maybe bool
, publishconfig : maybe { registry : maybe text, access : maybe text }
, workspaces : maybe (list text)
}
You needn't f*ck around nor find out. You can infer/enforce types at runtime or compile time. You can ensure that all configs and messages are truly compatible.
You may enjoy my talk from UNSOUND '24.
But that's just static data. You can also efficiently encode arbitrary programs this way. Code can be data, too.
By extending CBOR/MsgPack with executable data, we unlock new superpowers: dynamic configs, templating engines, RPCs, client-side codegen, hot reload, Smalltalk-esque images, etc.
Behold the reigning champion of simple computing: FORTH. Stack languages are the simplest means of practical memory/compute. Uxn is exemplary.
Why not WASM? LLVM IR? In short, they're not simple enough for my tastes. I think humans write more code than we can responsibly maintain. In my experience, bloat is the nastiest unsolved problem in software; slow/buggy software is holding us back.
Most people consider reverse-polish notation an eye blight, but computers kinda prefer it over prefix and infix notations.
We might be able to get the best of all worlds by embedding "performance hint" operators: explicit allocations, SIMD, etc.
{ add1 = n -> n + 1 }
-- flat scrap (bytes):
-- { "add1" = expr[var(n) var(n) 1 op(+) op(->)] }
Here's my compromise: flat scraps use RPN; scrapscript reflects them as an infix notation.
While I've been off exploring flat scraps, Max (and friends) have been turning scrapscript into a real high-level programming language with a world-class compiler!
This is the vision I'm working toward with flat scraps:
It looks stupid, because yes -- it's stupid.
Computing can be simpler.
2025-03-17 08:00:00
There are no shortcuts. You cannot build a successful company in five weeks.
But for optimists (and lunatics), five weeks is plenty to start a company.
You probably have a dayjob. Exceed your employer's expectations. Don't accept paychecks you don't deserve. Work on your startup mornings (not evenings) and weekends. Save your PTO until the third week, and then start taking off Mondays/Tuesdays (not Thursdays/Fridays) if needed. If you can no longer maintain stellar quality at work, it's time to move on.
Founders must adopt an investor mindset. If you want to create value, learn how to assess opportunity, how to leverage assets, and how to hedge risk.
It's okay to fundraise and it's okay to bootstrap. Either way, don't let ego rule you. Capital can be a tool like any other.
Investors don't choose startups, they choose founders. They want to multiply their money, and they want you to do it. But you can't just "pivot" a lousy personality. Nobody wants to bet on a billion-dollar idea that's chained to a fool.
If you are worth investment, then invest in yourself.
Good businesses create non-zero-sum wealth. If you sell that wealth for dollars, you can create more wealth to sell.
Outside of theft and burglary, the only way to make money is to convince other people to give you their money.
The main thing is to keep the main thing the main thing.
Create wealth and sell it to customers. You will not succeed if you cannot (1) create wealth, (2) find customers, and (3) sell that wealth.
Don't lose focus. Share your wealth.
Put everything together. Construct an engine that predictably transforms money into wealth, and then wealth into more money.
This is just the beginning. The rules are simple, but the game is grueling:
If you succeed, share that abundance with others. Remember where you're going, remember where you came from, and choose who you're becoming.
2025-03-16 08:00:00
Many folks find me abrasive. I pry, probe, steamroll conversations, miss social cues, argue, trounce boundaries, send mixed/unintentional signals, deeply offend, and so on.
I'm as charismatic as a root canal.
But I'm determined to grow. Books like HTWFAIP and How to Have Impossible Conversations and How To Talk So Kids Will Listen contain countless gems to evoke the best from people.
Unfortunately, I can't use that wisdom. When it comes time to put my mouth where my mouth is, I drown in the speed of normal conversation.
People somehow learn this stuff. There's literally school for it. How do they learn to talk and listen?
There are no shortcuts. In licensed therapy programs, professionals evangelize conflicting frameworks and nobody knows what's going on. I'm here to share one such framework.
Motivational Interviewing was developed for substance abuse rehabilitation, but it's grown popular with clinical psychologists, therapists, counselors, etc.
I'm no professional -- just some random internet person -- but MI has dramatically improved my listening skills.
My amateur summary of MI is that (1) people feel ambivalence, (2) change comes from within, and (3) "OARS" conversations hasten that change.
I suddenly spotted that ambivalence everywhere. People frequently feel anxiety/grief about work, family, health, etc. These enormous feelings leak into conversations as venting, gossip, smalltalk, and current events.
Street Epistomology offers guides on how to encourage productive dialogue. Consider using those techniques to help others explore beliefs and feelings.
Watching somebody's brain "click" is a rare delight of life. All of a sudden, that face lights up -- loss to enlightenment.
These moments rarely happen during dialogue, because you can't change the brain through the ears.
Think about your own experience. Most "a-ha" moments don't occur in the classroom -- they happen while doing the homework. There is no substitute for first-person learning.
You cannot lecture somebody into changing beliefs/feelings/motivations, but you can totally watch friends do their homework.
Don't assume too much -- part of the magic is learning what homework they've assigned themselves.
When people share confused/conflicting feelings, you can use OARS:
Yeah, I hate social-science acronyms too. I've internalized it as an algorithm:
Practice your conversational skills with this LLM prompt: "Help me practice OARS via role-playing. You are a friend I haven't seen in a few weeks."
I'm thinking about trying that new restaurant downtown, but I saw some mixed reviews online. Some people loved it and others said the service was terrible.
Everyone's talking about that new show, but I watched three episodes and just couldn't get into it. I feel like I'm missing something.
Did you hear about that big tech company layoff? They cut 5000 jobs after reporting record profits last quarter. It seems so unfair.
I hate my job. My boss micromanages everything I do, and I feel like I'm wasting my talents. But I can't afford to quit.
I know I should exercise more and eat better. Every Monday I start a new routine but by Wednesday I'm back to my old habits. I just don't have the willpower.
I've been offered two jobs. One pays better but requires long hours. The other is more aligned with my interests but the salary is lower. I've been going back and forth for days and can't decide.
My partner and I keep having the same argument. They say I'm not communicative enough, but when I try to talk, they interrupt or criticize what I'm saying. It's easier to just stay quiet.
2025-03-15 08:00:00
0 | individual person |
1 | nuclear family, small friend group, car pool, small team |
2 | extended family reunion, classroom, apartment building, small company |
3 | elementary school, village, large wedding, medium company office |
4 | large high school, small town, popular concert, large corporation office |
5 | major sports stadium, medium-sized city, large university, industry convention |
6 | large metropolitan area, small country, global company workforce |
7 | large urban area population, mid-sized country, global social media platform users |
8 | Japan's population, global corporation's customer base, global sport viewership |
9 | India or China's population, Facebook users, global television audience |
10 | world population + historical population, estimated global internet users by 2030 |
11 | estimated human historical total, ants on Earth, trees on Earth |
12 | estimated stars in the Milky Way, global annual digital information in bytes |
-10 | practically impossible, every atom in your body quantum tunneling simultaneously one foot to the left |
-9 | astronomically unlikely, shuffling a deck and getting cards in perfect sequential order, specific molecular-level event |
-8 | nearly inconceivable, winning national lottery jackpot twice in a row with single tickets, specific quantum tunneling event |
-7 | virtually impossible, same person being struck by lightning twice in a lifetime, specific major asteroid impact in a given year |
-6 | exceptionally uncommon, random person winning a specific state lottery, fatal reaction to a well-tested vaccine |
-5 | extremely rare, winning $100+ in a specific scratch-off lottery ticket, specific major earthquake occurring on a given day |
-4 | highly improbable, winning a specific 4-digit lottery number, being struck by lightning in your lifetime |
-3 | 0.1%, rare event, being dealt a royal flush in poker, dying in a car accident in a given year (US) |
-2 | 1%, very unlikely, winning a specific raffle with 100 tickets, professional athlete having career-ending injury in a given game |
-1 | 10%, moderate chance, rolling a 1 on a 10-sided die, rain in Seattle on a random day, minor side effect from medication |
0 | 100%, absolute certainty, guaranteed outcome, mathematical proof, sunrise tomorrow, death eventually occurring |
-9 | fastest computer operations |
-8 | light traveling 3 meters, fastest electronic switching |
-7 | high-performance CPU clock cycle |
-6 | RAM memory access time, radar echo |
-5 | modern computer instruction cycle, sound traveling 3.4 meters |
-4 | fastest human reflex, high-speed camera frame, computer memory access |
-3 | computer CPU cycle, camera flash duration, neuron firing |
-2 | fast eye movement, nerve impulse transmission, hummingbird wingbeat |
-1 | camera shutter click, finger snap, lightning flash |
0 | heartbeat, eye blink, saying a short word |
1 | taking a quick breath, typing a sentence, drinking a glass of water |
2 | 1.7 min, microwaving a meal, brushing teeth thoroughly, waiting in a short line |
3 | 16.7 min, cooking a meal, commuting to work, watching a sitcom episode |
4 | 2.8 hr, watching a movie trilogy, cross-town drive, professional sports game |
5 | 1.2 days, weekend getaway, binge-watching a TV season, transatlantic flight |
6 | 11.6 days, two-week vacation, waiting for a passport, healing from minor surgery |
7 | 3.8 months, college semester, pregnancy trimester, training for a marathon |
8 | 3.2 years, undergraduate degree, Olympic cycle, presidential term |
9 | 31.7 years, mortgage payoff, career span, generational shift |
10 | 317 years, rise and fall of empires, scientific revolutions, industrial age |
11 | 3,170 years, development of world religions, rise and fall of ancient civilizations |
12 | 31,700 years, ice ages, evolution of human language, cave painting to quantum computing |
-1 | earth rotation cycle, tide changes, circadian rhythm |
0 | human heartbeat, breathing cycle, clock second |
1 | slow typing speed, resting brain alpha waves, hummingbird wings |
2 | lowest musical note perception, fast typing, camera shutter |
3 | telephone voice band, musical middle C (261.6 Hz), bee's wings |
4 | highest musical notes, upper limit of human hearing (young adults) |
5 | bat echolocation, ultrasonic cleaning, medical imaging |
6 | AM radio transmissions, medical ultrasound imaging (1 MHz) |
7 | shortwave radio, MRI scanners, RFID systems |
8 | FM radio broadcast, aerospace communications |
9 | microwave ovens, mobile phones, GPS signals (1 GHz) |
10 | satellite communications, wireless networks, microwave links |
11 | millimeter-wave scanners, automotive radar, 5G communications |
12 | infrared radiation, thermal imaging, fiber optic communications (1 THz) |
-2 | penny, small paper clip, individual grain of rice, single cotton ball, one sheet of paper, 1g of soil, single drop of fresh water |
-1 | text message, small candy, plastic pen, rubber band pack, paper napkin, 1kg of sand, 1L of fresh water, handful of topsoil |
0 | candy bar, song download, dollar store item, public transit ride, service tip, 1 cubic meter of air, small bundle of firewood |
1 | fast food meal, movie ticket, paperback book, basic streaming subscription, cocktail, 1 ton of raw limestone, small garden plot (1 sq meter) |
2 | decent pair of shoes, week of groceries, nice dinner for two, monthly utility bill, entry-level headphones, 1 barrel of crude oil, 1 ton of coal, small pine tree |
3 | one month's rent (some areas), budget laptop, domestic flights, basic furniture set, low-end bicycle, 1 acre of rural land, 1 ton of iron ore, small residential solar array |
4 | used car, year of in-state tuition, high-end appliances, budget wedding, luxurious vacation, 1 acre of arable farmland, small woodlot, 1 ton of copper ore |
5 | home down payment, luxury car, four-year degree, small business startup, year's salary for mid-level professional, small local businesses, pre-seed startups, 1 ton of refined copper, small natural gas well, 10 acres of forest land |
6 | house in most cities, retirement fund, small business acquisition, exotic supercars, multiple college educations, seed-stage startups, small local chains, small oil well, 1 ton of silver ore, small quarry operation |
7 | mansion in premium location, medium-sized jet, multi-location business, minor league sports team, significant art collection, early-stage startups, regional businesses, medium mining operation, small wind farm, 1 ton of gold ore |
8 | private island development, large business conglomerate, major market sports franchise, significant venture capital fund, feature film production, series B/C startups, medium-sized private companies, coal-fired power plant, small oil field, moderate hydroelectric dam |
9 | major sports teams, large commercial developments, significant philanthropic foundations, major research initiatives, large company ownership stakes, Instacart, Roblox, Reddit, large diamond mine, major forest reserve, all of a small country's lithium reserves |
10 | national high-speed rail line, global tech platform, major airline group, significant portion of a major city, multiple global pharmaceutical companies, Airbnb, Snap, Uber, PayPal, large oil field, major hydroelectric project, 1% of global rare earth elements |
11 | large country's annual budget, global banking group, major tech ecosystem, comprehensive national infrastructure, international space program, Meta, Tesla, Alphabet, 10% of the world's copper reserves, all of Canada's timber, major river system |
12 | GDP of countries like Indonesia or Mexico, entire U.S. defense budget, ~5% of U.S. economy, nation-scale infrastructure overhaul, ~1/32 of U.S. national debt, Apple, Microsoft, Saudi Aramco, NVIDIA, all the world's extracted gold (~200,000 tons), all the world's copper reserves, Amazon rainforest |
-1 | passive income from tiny investment, individual blog ad impression |
0 | small app subscription, basic streaming service, candy machine |
1 | entry-level gig work, small creator tips, coffee shop regular |
2 | minimum wage job, side hustle, small rental income |
3 | successful professional, small business, popular creator income |
4 | successful small business, local restaurant, medical practice |
5 | regional retailer, medium business, successful startup |
6 | major franchise, large corporation division, popular e-commerce site |
7 | Fortune 500 company, major sports team, large hospital system |
8 | tech giant, major bank, global retail chain |
9 | global conglomerate, major stock exchange, oil company |
10 | top global corporations combined, large national tax revenue |
11 | major economy GDP, global payment networks, global industry sector |
12 | largest global economies combined, world financial system |
13 | world economy, planetary scale economic activity |
-4 | seconds | micro-transaction processor fees, penny stock day trading |
-3 | minutes | hourly wage of high-earner, fast food restaurant hourly sales |
-2 | hours | minimum wage day's work, small coffee shop daily revenue |
-1 | days | entry-level weekly salary, independent contractor daily rate |
0 | weeks | average monthly rent payment, typical car payment |
1 | months | budget smartphone lifetime cost, basic appliance over useful life |
2 | years | lifetime utility of basic furniture, depreciation of budget used car |
3 | decades | rural housing in developing regions, subsistence farming annual yield |
4 | centuries | medieval craftsman lifetime earnings, ancient agricultural output |
5 | millennia | early bronze age village production, paleolithic community resources |
-1 | bulk sand, gravel, raw earth, tap water |
0 | coal, industrial salt, raw agricultural products (wheat, rice) |
1 | bulk steel, basic plastics, flour, cement |
2 | basic electronics components, processed foods, common household goods |
3 | consumer electronics, quality clothing, specialty foods |
4 | high-end smartphones, designer clothing, quality tools |
5 | professional equipment, luxury fashion, fine jewelry |
6 | industrial machinery, medical devices, rare materials |
7 | advanced scientific instruments, satellite components, fine art |
8 | rare earth elements, pharmaceutical APIs, specialized aerospace materials |
9 | medical radioisotopes, cutting-edge semiconductor materials, precious gems |
10 | research-grade antimatter, certain advanced pharmaceuticals, rare isotopes |
11 | artificially produced super-heavy elements, experimental materials |
-11 | artificially produced super-heavy elements, experimental materials |
-10 | research-grade antimatter, certain advanced pharmaceuticals, rare isotopes |
-9 | medical radioisotopes, cutting-edge semiconductor materials, precious gems |
-8 | rare earth elements, pharmaceutical APIs, specialized aerospace materials |
-7 | advanced scientific instruments, satellite components, fine art |
-6 | industrial machinery, medical devices, rare materials |
-5 | professional equipment, luxury fashion, fine jewelry |
-4 | high-end smartphones, designer clothing, quality tools |
-3 | consumer electronics, quality clothing, specialty foods |
-2 | basic electronics components, processed foods, common household goods |
-1 | bulk steel, basic plastics, flour, cement |
0 | coal, industrial salt, raw agricultural products (wheat, rice) |
1 | bulk sand, gravel, raw earth, tap water |
-18 | energy of a single DNA bond, quantum computing operation |
-14 | energy to flip a transistor in modern CPU |
-10 | energy to transmit one bit wirelessly, single nerve impulse |
-6 | energy of a mosquito flying for one second, mechanical watch tick |
-3 | energy to lift a paperclip 1 cm, honeybee wing flap |
0 | energy to lift an apple one meter, energy in a French fry, smartphone tap |
1 | energy of a slap, burning a match, smart watch charging for one minute |
2 | energy of a strong punch, AA battery, phone screen energy used per hour |
3 | food calories in a bite of apple, bicycle movement for ten seconds, boiling a cup of water |
4 | food calories in a candy bar, car movement for one second, toaster use for one minute |
5 | energy to heat a gallon of water, laptop energy use per day, microwave heating a meal |
6 | daily food intake for an adult, smartphone battery for a year, car moving at highway speed |
7 | energy in 1 liter of gasoline, household electricity for a day, lightning bolt |
8 | energy to launch a small rocket, household electricity for a week, small meteorite impact |
9 | energy in 30 gallons of gasoline, home energy use for a month, small tornado |
10 | energy released in a barrel of oil, residential electricity for a year, small earthquake |
11 | energy in a lightning storm, fuel for a cross-country flight, medium earthquake |
12 | small nuclear bomb, daily electricity for a small city, large hurricane |
13 | moderate nuclear explosion, monthly energy for a small city, major earthquake |
14 | large nuclear explosion, annual energy consumption of a small town, volcanic eruption |
15 | large meteor impact, daily solar energy reaching small country, hydrogen bomb |
-18 | single enzyme reaction, quantum tunneling event |
-15 | bacterial flagellar motor, molecular computation |
-12 | single neuron at rest, RFID tag in passive mode |
-9 | electronic watch operation, insect brain, ultra-low-power sensor |
-6 | hearing aid, pacemaker, IoT sensor in sleep mode |
-3 | smart watch in standby, Bluetooth headset, calculator |
0 | smartphone in standby, LED indicator, small electronic device |
1 | smartphone in active use, incandescent light bulb, laptop in sleep mode |
2 | laptop in active use, TV, refrigerator, ceiling fan |
3 | microwave oven, hairdryer, small electric heater, average home |
4 | small office building, electric car at highway speed, industrial machinery |
5 | large commercial building, passenger airplane, small factory |
6 | small power plant, large office building, passenger train |
7 | cruise ship, skyscraper, small town's electricity usage |
8 | medium-sized power plant, small city, large steel mill |
9 | large power plant, medium city, large industrial complex |
10 | nuclear power plant, large city, international airport |
12 | all power plants in a major country, civilization-level energy flow |
15 | worldwide human energy consumption, global electrical infrastructure |
17 | total solar energy intercepted by Earth, large asteroid impact |
26 | total energy output of the Sun, major stellar event |
-3 | single LED indicator for an hour, digital watch for a day |
-2 | bluetooth headset standby, hearing aid daily usage |
-1 | smartphone standby mode for a day, fitness tracker weekly use |
0 | laptop use for 5-10 hours, LED bulb for 1-2 days |
1 | average US household daily usage, electric vehicle charge (30-40 miles) |
2 | average US household weekly usage, Tesla Model S battery capacity |
3 | average US household monthly usage, small business monthly consumption |
4 | average US household yearly usage, small factory monthly operation |
5 | medium-sized business yearly usage, small hospital monthly consumption |
6 | large factory monthly usage, small town daily consumption |
7 | small city monthly consumption, large industrial complex annual usage |
8 | medium city monthly usage, average nuclear plant weekly output |
9 | large metropolitan area monthly consumption, nuclear plant monthly output |
10 | small country annual consumption, major hydroelectric dam yearly output |
11 | medium-sized country annual energy consumption |
12 | United States quarterly electricity consumption, global energy industry day |
13 | global annual electricity production, all human energy use for weeks |
-1 | hearing aid, bluetooth earbud, single LED for hours |
0 | smartwatch, wireless mouse, fitness tracker weekly use |
1 | entry-level smartphone, wireless keyboard, medical device |
2 | flagship smartphone, tablet, e-reader, 1-2 days mixed use |
3 | ultrabook laptop, portable speaker, 8-16 hours active use |
4 | gaming laptop, professional camera, 2-6 hours heavy use |
5 | electric scooter, small drone, portable power station |
6 | electric bicycle, professional video equipment, small UPS |
7 | electric motorcycle, home backup battery, 4-12 hours essential load |
8 | compact electric car, home energy storage, 100-250 miles range |
9 | luxury electric car, commercial backup, 250-400 miles range |
10 | electric bus/truck, neighborhood microgrid, 100-300 miles |
11 | grid-scale storage, commercial backup, days of power |
0 | lead-acid, vehicle starter batteries, UPS systems |
1 | Ni-MH, power tools, early hybrid vehicles |
2 | Li-ion common, smartphones, laptops, most EVs |
3 | next-gen solid-state, emerging tech, future EVs |
4 | theoretical lithium-air, research stage, potential future |
-3 | wholesale hydroelectric power, excess grid energy during oversupply |
-2 | large industrial electricity contracts, utility-scale solar in optimal locations |
-1 | typical residential electricity rates, grid-scale battery storage discharge |
0 | peak demand charges, small-scale battery storage, emergency backup power |
1 | remote microgrid electricity, power in disaster areas, portable power stations |
2 | helicopter-delivered emergency power, extreme remote locations, military expeditions |
3 | space station power costs, antarctic research stations during winter |
4 | early satellite power systems, specialized military portable power |
5 | first space missions power costs, experimental fusion research energy |
6 | theoretical cost of antimatter energy, earliest space program power supplies |
-6 | theoretical antimatter energy production, earliest space program power |
-5 | early space mission power systems, experimental fusion research |
-4 | vintage satellite power, specialized military portable power systems |
-3 | space station power, antarctic research station during winter |
-2 | helicopter-delivered emergency power, extreme remote locations |
-1 | remote microgrid electricity, disaster area power, portable power stations |
0 | peak demand electricity, small-scale battery storage, emergency backup generators |
1 | typical residential electricity, standard grid power in developed countries |
2 | large industrial electricity contracts, utility-scale solar in optimal locations |
3 | wholesale hydroelectric power, excess grid energy during oversupply periods |
0 | binary digit, yes/no answer, single state |
1 | two decimal digits, 3-digit binary number, single ASCII character |
2 | short sentence in ASCII, small icon, QR code with URL |
3 | paragraph of text, small black and white image, musical note |
4 | page of text, low-resolution image, short audio clip |
5 | book chapter, medium-quality image, few seconds of MP3 audio |
6 | entire book, high-quality photo, minute of music |
7 | encyclopedia article, RAW photo, song |
8 | small database, short video clip, software application |
9 | entire encyclopedia, hour of standard video, complex software |
10 | library collection, 4K movie, large dataset |
11 | all books in a large library, 8K video collection, enterprise database |
12 | Library of Congress holdings, year of HD video content |
13 | all words ever spoken by humans, DNA of human population sample |
14 | all music ever recorded, high-resolution brain scan database |
15 | all text/images ever published online, large enterprise data |
16 | global daily internet traffic, astronomical observation data |
17 | all digital content produced in a year, particle physics data |
18 | all human knowledge digitized, complete genomic database |
0 | telegraph, Morse code transmission |
1 | slow teletype, early text terminals |
2 | early dialup modems, basic telemetry |
3 | early home internet, text-only experiences |
4 | basic dialup internet, text with simple images |
5 | fast dialup, early mobile data |
6 | early broadband, basic streaming audio |
7 | standard home broadband, SD video streaming |
8 | fast home internet, HD video streaming |
9 | gigabit internet, 4K video streaming |
10 | enterprise connection, multiple 8K streams |
11 | data center interconnect, major backbone links |
12 | major internet backbone, submarine cable systems |
13 | multi-cable submarine systems, satellite constellations |
14 | global internet infrastructure, combined backbone capacity |
0 | single CPU instruction, one line of code execution |
1 | simple database query, basic API call, small function execution |
2 | complex database transaction, rendering a web page, image processing routine |
3 | video frame rendering, machine learning prediction, complex search algorithm |
4 | 3D scene rendering, large language model inference, complex sorting of large data |
5 | image recognition pipeline, real-time video processing, large matrix multiplication |
6 | training small machine learning model, full-text search of large corpus |
7 | 3D animation rendering, large-scale data processing job, genome sequence alignment |
8 | climate simulation timestep, protein folding calculation, large ML model training |
9 | complex physics simulation, global weather model update, large video rendering |
10 | astronomical simulation, national-scale logistics optimization |
12 | global climate model, universe simulation timestep, cryptocurrency blockchain |
0 | mechanical calculator, human mental arithmetic |
1 | desktop calculator, early microcontroller |
2 | vintage personal computer, 1980s gaming console |
3 | 1990s desktop computer, early smartphone |
4 | entry-level modern CPU core, embedded system |
5 | high-end desktop processor, game console GPU |
6 | server-grade CPU, high-end graphics card (FLOPS) |
7 | small cluster of servers, specialized AI hardware |
8 | supercomputer, large data center processing capacity |
9 | top 10 supercomputer, major cloud region processing power |
10 | combined processing power of major cloud provider |
11 | estimated global computing infrastructure |
12 | hypothetical exascale supercomputing network |
15 | theoretical quantum computing milestone |
18 | computational capacity to simulate human brain |
-9 | mechanical computing, early vacuum tube computers |
-6 | early transistor computers, 1960s mainframe |
-3 | personal computers of the 1980s, early laptops |
0 | desktop computers, game consoles, typical server |
3 | mobile phones, low-power embedded systems |
6 | specialized efficiency hardware, advanced mobile processors |
9 | theoretical thermodynamic limits of conventional computing |
12 | quantum computing theoretical efficiency, reversible computing |
17 | Landauer limit (theoretical maximum computing efficiency) |
-3 | mechanical calculators, earliest electronic computers |
0 | 1980s personal computers, vintage game systems |
3 | low-end smartphone, basic cloud computing instance |
6 | high-performance computing, GPU cloud instances |
9 | major cloud provider data centers, enterprise computing |
12 | global computing infrastructure efficiency projection |
15 | theoretical future of computing price-performance |
2025-03-13 08:00:00
In 2022, I was an alcoholic with a newborn baby and a startup, so I decided to ride a bicycle from San Francisco to Los Angeles (877km or 545mi).
AIDS/Lifecycle is a great charity (donate), but it was insanely selfish of me to commit to something like this at the time. I am so grateful for Chelsea, who supports my ambitions and forgives my folly.
This decision defied logic. Dad bod claimed me long before the baby arrived. I knew nothing about cycling. I did not own a bike.
But I had to change something -- no, I had to change myself. To become somebody else, I decided to start living somebody else's life. I don't remember how the bicycle got involved.
I wasn't ready to be sober, nor to be a father, nor to start a company, nor to ride that bike.
Seriously, I rode the first 100 miles with two flat tires because I assumed all tubes needed exactly 12 PSI.
You'll never be ready for such things. Do them anyway.