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[The] Linux kernel uses GPLv2, and if you distribute GPLv2 code, you have to provide a copy of the source (and modifications) once someone asks for it. And now I’m asking nicely for you to do so 🙂 – Joga, bbs.onyx-international.com Boox in split screen, typewriter mode In January, I bought a Boox Go 10.3—a 10.3-inch, 300-ppi, e-ink Android tablet. After two months, I use the Boox daily—it’s replaced my planner, notebook, countless PDF print-offs, and the good parts of my phone. But Boox’s parent company, Onyx, is sketchy. I’m conflicted. The Boox Go is a beautiful, capable tablet that I use every day, but I recommend avoiding as long as Onyx continues to disregard the rights of its users. How I’m using my Boox My e-ink floor desk Each morning, I plop down in front of my MagicHold laptop stand and journal on my Boox with Obsidian. I use Syncthing to back up my planner and sync my Zotero library between my Boox and laptop. In the evening, I review my PDF planner and plot for tomorrow. I use these apps: Obsidian – a markdown editor that syncs between all my devices with no fuss for $8/mo. Syncthing – I love Syncthing—it’s an encrypted, continuous file sync-er without a centralized server. Meditation apps1 – Guided meditation away from the blue light glow of my phone or computer is better. Before buying the Boox, I considered a reMarkable. The reMarkable Paper Pro has a beautiful color screen with a frontlight, a nice pen, and a “type folio,” plus it’s certified by the Calm Tech Institute. But the reMarkable is a distraction-free e-ink tablet. Meanwhile, I need distraction-lite. What I like Calm(ish) technology – The Boox is an intentional device. Browsing the internet, reading emails, and watching videos is hard, but that’s good. Apps – Google Play works out of the box. I can install F-Droid and change my launcher without difficulty. Split screen – The built-in launcher has a split screen feature. I use it to open a PDF side-by-side with a notes doc. Reading – The screen is a 300ppi Carta 1200, making text crisp and clear. What I dislike I filmed myself typing at 240fps, each frame is 4.17ms. Boox’s typing latency is between 150ms and 275ms at the fastest refresh rate inside Obsidian. Typing – Typing latency is noticeable. At Boox’s highest refresh rate, after hitting a key, text takes between 150ms to 275ms to appear. I can still type, though it’s distracting at times. The horror of the default pen Accessories Pen – The default pen looks like a child’s whiteboard marker and feels cheap. I replaced it with the Kindle Scribe Premium pen, and the writing experience is vastly improved. Cover – It’s impossible to find a nice cover. I’m using a $15 cover that I’m encasing in stickers. Tool switching – Swapping between apps is slow and clunky. I blame Android and the current limitations of e-ink more than Boox. No frontlight – The Boox’s lack of frontlight prevents me from reading more with it. I knew this when I bought my Boox, but devices with frontlights seem to make other compromises. Onyx The Chinese company behind Boox, Onyx International, Inc., runs the servers where Boox shuttles tracking information. I block this traffic with Pi-Hole2. pihole-ing whatever telemetry Boox collects I inspected this traffic via Mitm proxy—most traffic was benign, though I never opted into sending any telemetry (nor am I logged in to a Boox account). But it’s also an Android device, so it’s feeding telemetry into Google’s gaping maw, too. Worse, Onyx is flouting the terms of the GNU Public License, declining to release Linux kernel modifications to users. This is anathema to me—GPL violations are tantamount to theft. Onyx’s disregard for user rights makes me regret buying the Boox. Verdict I’ll continue to use the Boox and feel bad about it. I hope my digging in this post will help the next person. Unfortunately, the e-ink tablet market is too niche to support the kind of solarpunk future I’d always imagined. But there’s an opportunity for an open, Linux-based tablet to dominate e-ink. Linux is playing catch-up on phones with PostmarketOS. Meanwhile, the best e-ink tablets have to offer are old, unupdateable versions of Android, like the OS on the Boox. In the future, I’d love to pay a license- and privacy-respecting company for beautiful, calm technology and recommend their product to everyone. But today is not the future. I go back and forth between “Waking Up” and “Calm”↩︎ Using github.com/JordanEJ/Onyx-Boox-Blocklist↩︎
.title { text-wrap: balance } Spending for October, generated by piping hledger → R Over the past six months, I’ve tracked my money with hledger—a plain text double-entry accounting system written in Haskell. It’s been surprisingly painless. My previous attempts to pick up real accounting tools floundered. Hosted tools are privacy nightmares, and my stint with GnuCash didn’t last. But after stumbling on Dmitry Astapov’s “Full-fledged hledger” wiki1, it clicked—eventually consistent accounting. Instead of modeling your money all at once, take it one hacking session at a time. It should be easy to work towards eventual consistency. […] I should be able to [add financial records] bit by little bit, leaving things half-done, and picking them up later with little (mental) effort. – Dmitry Astapov, Full-Fledged Hledger Principles of my system I’ve cobbled together a system based on these principles: Avoid manual entry – Avoid typing in each transaction. Instead, rely on CSVs from the bank. CSVs as truth – CSVs are the only things that matter. Everything else can be blown away and rebuilt anytime. Embrace version control – Keep everything under version control in Git for easy comparison and safe experimentation. Learn hledger in five minutes hledger concepts are heady, but its use is simple. I divide the core concepts into two categories: Stuff hledger cares about: Transactions – how hledger moves money between accounts. Journal files – files full of transactions Stuff I care about: Rules files – how I set up accounts, import CSVs, and move money between accounts. Reports – help me see where my money is going and if I messed up my rules. Transactions move money between accounts: 2024-01-01 Payday income:work $-100.00 assets:checking $100.00 This transaction shows that on Jan 1, 2024, money moved from income:work into assets:checking—Payday. The sum of each transaction should be $0. Money comes from somewhere, and the same amount goes somewhere else—double-entry accounting. This is powerful technology—it makes mistakes impossible to ignore. Journal files are text files containing one or more transactions: 2024-01-01 Payday income:work $-100.00 assets:checking $100.00 2024-01-02 QUANSHENG UVK5 assets:checking $-29.34 expenses:fun:radio $29.34 Rules files transform CSVs into journal files via regex matching. Here’s a CSV from my bank: Transaction Date,Description,Category,Type,Amount,Memo 09/01/2024,DEPOSIT Paycheck,Payment,Payment,1000.00, 09/04/2024,PizzaPals Pizza,Food & Drink,Sale,-42.31, 09/03/2024,Amazon.com*XXXXXXXXY,Shopping,Sale,-35.56, 09/03/2024,OBSIDIAN.MD,Shopping,Sale,-10.00, 09/02/2024,Amazon web services,Personal,Sale,-17.89, And here’s a checking.rules to transform that CSV into a journal file so I can use it with hledger: # checking.rules # -------------- # Map CSV fields → hledger fields[0] fields date,description,category,type,amount,memo,_ # `account1`: the account for the whole CSV.[1] account1 assets:checking account2 expenses:unknown skip 1 date-format %m/%d/%Y currency $ if %type Payment account2 income:unknown if %category Food & Drink account2 expenses:food:dining # [0]: <https://hledger.org/hledger.html#field-names> # [1]: <https://hledger.org/hledger.html#account-field> With these two files (checking.rules and 2024-09_checking.csv), I can make the CSV into a journal: $ > 2024-09_checking.journal \ hledger print \ --rules-file checking.rules \ -f 2024-09_checking.csv $ head 2024-09_checking.journal 2024-09-01 DEPOSIT Paycheck assets:checking $1000.00 income:unknown $-1000.00 2024-09-02 Amazon web services assets:checking $-17.89 expenses:unknown $17.89 Reports are interesting ways to view transactions between accounts. There are registers, balance sheets, and income statements: $ hledger incomestatement \ --depth=2 \ --file=2024-09_bank.journal Revenues: $1000.00 income:unknown ----------------------- $1000.00 Expenses: $42.31 expenses:food $63.45 expenses:unknown ----------------------- $105.76 ----------------------- Net: $894.24 At the beginning of September, I spent $105.76 and made $1000, leaving me with $894.24. But a good chunk is going to the default expense account, expenses:unknown. I can use the hleger aregister to see what those transactions are: $ hledger areg expenses:unknown \ --file=2024-09_checking.journal \ -O csv | \ csvcut -c description,change | \ csvlook | description | change | | ------------------------ | ------ | | OBSIDIAN.MD | 10.00 | | Amazon web services | 17.89 | | Amazon.com*XXXXXXXXY | 35.56 | l Then, I can add some more rules to my checking.rules: if OBSIDIAN.MD account2 expenses:personal:subscriptions if Amazon web services account2 expenses:personal:web:hosting if Amazon.com account2 expenses:personal:shopping:amazon Now, I can reprocess my data to get a better picture of my spending: $ > 2024-09_bank.journal \ hledger print \ --rules-file bank.rules \ -f 2024-09_bank.csv $ hledger bal expenses \ --depth=3 \ --percent \ -f 2024-09_checking2.journal 30.0 % expenses:food:dining 33.6 % expenses:personal:shopping 9.5 % expenses:personal:subscriptions 16.9 % expenses:personal:web -------------------- 100.0 % For the Amazon.com purchase, I lumped it into the expenses:personal:shopping account. But I could dig deeper—download my order history from Amazon and categorize that spending. This is the power of working bit-by-bit—the data guides you to the next, deeper rabbit hole. Goals and non-goals Why am I doing this? For years, I maintained a monthly spreadsheet of account balances. I had a balance sheet. But I still had questions. Spending over six months, generated by piping hledger → gnuplot Before diving into accounting software, these were my goals: Granular understanding of my spending – The big one. This is where my monthly spreadsheet fell short. I knew I had money in the bank—I kept my monthly balance sheet. I budgeted up-front the % of my income I was saving. But I had no idea where my other money was going. Data privacy – I’m unwilling to hand the keys to my accounts to YNAB or Mint. Increased value over time – The more time I put in, the more value I want to get out—this is what you get from professional tools built for nerds. While I wished for low-effort setup, I wanted the tool to be able to grow to more uses over time. Non-goals—these are the parts I never cared about: Investment tracking – For now, I left this out of scope. Between monthly balances in my spreadsheet and online investing tools’ ability to drill down, I was fine.2 Taxes – Folks smarter than me help me understand my yearly taxes.3 Shared system – I may want to share reports from this system, but no one will have to work in it except me. Cash – Cash transactions are unimportant to me. I withdraw money from the ATM sometimes. It evaporates. hledger can track all these things. My setup is flexible enough to support them someday. But that’s unimportant to me right now. Monthly maintenance I spend about an hour a month checking in on my money Which frees me to spend time making fancy charts—an activity I perversely enjoy. Income vs. Expense, generated by piping hledger → gnuplot Here’s my setup: $ tree ~/Documents/ledger . ├── export │ ├── 2024-balance-sheet.txt │ └── 2024-income-statement.txt ├── import │ ├── in │ │ ├── amazon │ │ │ └── order-history.csv │ │ ├── credit │ │ │ ├── 2024-01-01_2024-02-01.csv │ │ │ ├── ... │ │ │ └── 2024-10-01_2024-11-01.csv │ │ └── debit │ │ ├── 2024-01-01_2024-02-01.csv │ │ ├── ... │ │ └── 2024-10-01_2024-11-01.csv │ └── journal │ ├── amazon │ │ └── order-history.journal │ ├── credit │ │ ├── 2024-01-01_2024-02-01.journal │ │ ├── ... │ │ └── 2024-10-01_2024-11-01.journal │ └── debit │ ├── 2024-01-01_2024-02-01.journal │ ├── ... │ └── 2024-10-01_2024-11-01.journal ├── rules │ ├── amazon │ │ └── journal.rules │ ├── credit │ │ └── journal.rules │ ├── debit │ │ └── journal.rules │ └── common.rules ├── 2024.journal ├── Makefile └── README Process: Import – download a CSV for the month from each account and plop it into import/in/<account>/<dates>.csv Make – run make Squint – Look at git diff; if it looks good, git add . && git commit -m "💸" otherwise review hledger areg to see details. The Makefile generates everything under import/journal: journal files from my CSVs using their corresponding rules. reports in the export folder I include all the journal files in the 2024.journal with the line: include ./import/journal/*/*.journal Here’s the Makefile: SHELL := /bin/bash RAW_CSV = $(wildcard import/in/**/*.csv) JOURNALS = $(foreach file,$(RAW_CSV),$(subst /in/,/journal/,$(patsubst %.csv,%.journal,$(file)))) .PHONY: all all: $(JOURNALS) hledger is -f 2024.journal > export/2024-income-statement.txt hledger bs -f 2024.journal > export/2024-balance-sheet.txt .PHONY clean clean: rm -rf import/journal/**/*.journal import/journal/%.journal: import/in/%.csv @echo "Processing csv $< to $@" @echo "---" @mkdir -p $(shell dirname $@) @hledger print --rules-file rules/$(shell basename $$(dirname $<))/journal.rules -f "$<" > "$@" If I find anything amiss (e.g., if my balances are different than what the bank tells me), I look at hleger areg. I may tweak my rules or my CSVs and then I run make clean && make and try again. Simple, plain text accounting made simple. And if I ever want to dig deeper, hledger’s docs have more to teach. But for now, the balance of effort vs. reward is perfect. while reading a blog post from Jonathan Dowland↩︎ Note, this is covered by full-fledged hledger – Investements↩︎ Also covered in full-fledged hledger – Tax returns↩︎
Luckily, I speak Leet. – Amita Ramanujan, Numb3rs, CBS’s IRC Drama There’s an episode of the CBS prime-time drama Numb3rs that plumbs the depths of Dr. Joel Fleischman’s1 knowledge of IRC. In one scene, Fleischman wonders, “What’s ‘leet’”? “Leet” is writing that replaces letters with numbers, e.g., “Numb3rs,” where 3 stands in for e. In short, leet is like the heavy-metal “S” you drew in middle school: Sweeeeet. / \ / | \ | | | \ \ | | | \ | / \ / ASCII art version of your misspent youth. Following years of keen observation, I’ve noticed Git commit hashes are also letters and numbers. Git commit hashes are, as Fleischman might say, prime targets for l33tification. What can I spell with a git commit? DenITDao via orlybooks) With hexidecimal we can spell any word containing the set of letters {A, B, C, D, E, F}—DEADBEEF (a classic) or ABBABABE (for Mama Mia aficionados). This is because hexidecimal is a base-16 numbering system—a single “digit” represents 16 numbers: Base-10: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 16 15 Base-16: 0 1 2 3 4 5 6 7 8 9 A B C D E F Leet expands our palette of words—using 0, 1, and 5 to represent O, I, and S, respectively. I created a script that scours a few word lists for valid words and phrases. With it, I found masterpieces like DADB0D (dad bod), BADA55 (bad ass), and 5ADBAB1E5 (sad babies). Manipulating commit hashes for fun and no profit Git commit hashes are no mystery. A commit hash is the SHA-1 of a commit object. And a commit object is the commit message with some metadata. $ mkdir /tmp/BADA55-git && cd /tmp/BAD55-git $ git init Initialized empty Git repository in /tmp/BADA55-git/.git/ $ echo '# BADA55 git repo' > README.md && git add README.md && git commit -m 'Initial commit' [main (root-commit) 68ec0dd] Initial commit 1 file changed, 1 insertion(+) create mode 100644 README.md $ git log --oneline 68ec0dd (HEAD -> main) Initial commit Let’s confirm we can recreate the commit hash: $ git cat-file -p 68ec0dd > commit-msg $ sha1sum <(cat \ <(printf "commit ") \ <(wc -c < commit-msg | tr -d '\n') \ <(printf '%b' '\0') commit-msg) 68ec0dd6dead532f18082b72beeb73bd828ee8fc /dev/fd/63 Our repo’s first commit has the hash 68ec0dd. My goal is: Make 68ec0dd be BADA55. Keep the commit message the same, visibly at least. But I’ll need to change the commit to change the hash. To keep those changes invisible in the output of git log, I’ll add a \t and see what happens to the hash. $ truncate -s -1 commit-msg # remove final newline $ printf '\t\n' >> commit-msg # Add a tab $ # Check the new SHA to see if it's BADA55 $ sha1sum <(cat \ <(printf "commit ") \ <(wc -c < commit-msg | tr -d '\n') \ <(printf '%b' '\0') commit-msg) 27b22ba5e1c837a34329891c15408208a944aa24 /dev/fd/63 Success! I changed the SHA-1. Now to do this until we get to BADA55. Fortunately, user not-an-aardvark created a tool for that—lucky-commit that manipulates a commit message, adding a combination of \t and [:space:] characters until you hit a desired SHA-1. Written in rust, lucky-commit computes all 256 unique 8-bit strings composed of only tabs and spaces. And then pads out commits up to 48-bits with those strings, using worker threads to quickly compute the SHA-12 of each commit. It’s pretty fast: $ time lucky_commit BADA555 real 0m0.091s user 0m0.653s sys 0m0.007s $ git log --oneline bada555 (HEAD -> main) Initial commit $ xxd -c1 <(git cat-file -p 68ec0dd) | grep -cPo ': (20|09)' 12 $ xxd -c1 <(git cat-file -p HEAD) | grep -cPo ': (20|09)' 111 Now we have an more than an initial commit. We have a BADA555 initial commit. All that’s left to do is to make ALL our commits BADA55 by abusing git hooks. $ cat > .git/hooks/post-commit && chmod +x .git/hooks/post-commit #!/usr/bin/env bash echo 'L337-ifying!' lucky_commit BADA55 $ echo 'A repo that is very l33t.' >> README.md && git commit -a -m 'l33t' L337-ifying! [main 0e00cb2] l33t 1 file changed, 1 insertion(+) $ git log --oneline bada552 (HEAD -> main) l33t bada555 Initial commit And now I have a git repo almost as cool as the sweet “S” I drew in middle school. This is a Northern Exposure spin off, right? I’ve only seen 1:48 of the show…↩︎ or SHA-256 for repos that have made the jump to a more secure hash function↩︎
A brief and biased history. Oh yeah, there’s pull requests now – GitHub blog, Sat, 23 Feb 2008 When GitHub launched, it had no code review. Three years after launch, in 2011, GitHub user rtomayko became the first person to make a real code comment, which read, in full: “+1”. Before that, GitHub lacked any way to comment on code directly. Instead, pull requests were a combination of two simple features: Cross repository compare view – a feature they’d debuted in 2010—git diff in a web page. A comments section – a feature most blogs had in the 90s. There was no way to thread comments, and the comments were on a different page than the diff. GitHub pull requests circa 2010. This is from the official documentation on GitHub. Earlier still, when the pull request debuted, GitHub claimed only that pull requests were “a way to poke someone about code”—a way to direct message maintainers, but one that lacked any web view of the code whatsoever. For developers, it worked like this: Make a fork. Click “pull request”. Write a message in a text form. Send the message to someone1 with a link to your fork. Wait for them to reply. In effect, pull requests were a limited way to send emails to other GitHub users. Ten years after this humble beginning—seven years after the first code comment—when Microsoft acquired GitHub for $7.5 Billion, this cobbled-together system known as “GitHub flow” had become the default way to collaborate on code via Git. And I hate it. Pull requests were never designed. They emerged. But not from careful consideration of the needs of developers or maintainers. Pull requests work like they do because they were easy to build. In 2008, GitHub’s developers could have opted to use git format-patch instead of teaching the world to juggle branches. Or they might have chosen to generate pull requests using the git request-pull command that’s existed in Git since 2005 and is still used by the Linux kernel maintainers today2. Instead, they shrugged into GitHub flow, and that flow taught the world to use Git. And commit histories have sucked ever since. For some reason, github has attracted people who have zero taste, don’t care about commit logs, and can’t be bothered. – Linus Torvalds, 2012 “Someone” was a person chosen by you from a checklist of the people who had also forked this repository at some point.↩︎ Though to make small, contained changes you’d use git format-patch and git am.↩︎
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Ten years ago, Apple’s Phil Schiller surprised Apple enthusiasts and developers by walking out on stage at John Gruber’s The Talk Show Live WWDC event and giving an open, human, honest interview to a somewhat jaded community. I wrote this in response: Both Apple and Phil Schiller himself took a huge risk in doing this. That they agreed at all is a noteworthy gift to this community of long-time enthusiasts, many of whom have felt under-appreciated as the company has grown. […] Phil’s appearance on the show was warm, genuine, informative, and entertaining. It was human. And humanizing the company and its decisions, especially to developers — remember, developer relations is all under Phil — might be worth the PR risk. This started a ten-year run of interviews by Apple executives on The Talk Show every year at WWDC that proved to be great, surprisingly safe PR for Apple. No executive ever said something they shouldn’t have (they’re pros), no sensational or negative news stories ever resulted from them, and Apple’s enthusiastic fans and developers felt seen, heard, and appreciated. * * * For unspecified reasons, Apple has declined to participate this year, ending what had become a beloved tradition in our community — and I can’t help but suspect that it won’t come back. (A lot has changed in the meantime.) Maybe Apple has good reasons. Maybe not. We’ll see what their WWDC PR strategy looks like in a couple of weeks. In the absence of any other information, it’s easy to assume that Apple no longer wants its executives to be interviewed in a human, unscripted, unedited context that may contain hard questions, and that Apple no longer feels it necessary to show their appreciation to our community and developers in this way. I hope that’s either not the case, or it doesn’t stay the case for long. This will be the first WWDC I’m not attending since 2009 (excluding the remote 2020 one, of course). Given my realizations about my relationship with Apple and how they view developers, I’ve decided that it’s best for me to take a break this year, gain some perspective, and decide what my future relationship should look like. Maybe Apple’s leaders are doing that, too.
Thinking about moving to Japan? You’re not alone—Japan is a popular destination for those hoping to move abroad. What’s more, Japan actually needs more international developers. But how easy is it to immigrate to and work in Japan? Scores of videos on social media warn that living in Japan is quite different from holidaying here, and graphic descriptions of exploitative companies also create doubt. The truth is that Japan is not the easiest country to immigrate to, nor is it the hardest. Some Japanese tech companies and developer roles offer great work-life balance and good compensation; others do not. Based on other developers’ experiences, you’ll thrive here if you: Are an experienced developer Value safety, good food, and convenience over a high salary Are willing to invest time and effort into learning Japanese over the long term Read on to discover if Japan is a good fit for you, and the best ways to get a visa and begin your life here. What is it like working as a developer in Japan? TokyoDev conducts an annual survey of international developers living in Japan. Many of the questions in TokyoDev’s 2024 survey specifically addressed respondents’ work environments. Compensation When TokyoDev asked about “workplace difficulties” in the 2024 survey, 45% of respondents said that “compensation” was their number one problem at work. Overall, compensation for developers in Japan is far lower than the US developer median salary of 120,000 USD (currently 17.5 million yen), but higher than the Indian developer median salary of 640,000 rupees (currently around 1.1 million yen). Yet evaluating compensation for international developers in Japan, specifically, is trickier than you might expect. It’s hard to define an expected salary range because international developers tend to work in different companies and roles than the average Japanese developer. According to a 2024 survey conducted by the Japanese Ministry of Health, Labor and Welfare, the average annual salary of software engineers in Japan was 5.69 million yen. In a survey conducted that same year by TokyoDev, though, English-speaking international software developers in Japan enjoyed a median salary of 8.5 million yen. Of those international developers who responded, only 71% of them worked at a company headquartered in Japan, and almost 80% of them used English always or frequently, with 79% belonging to an engineering team with many other non-Japanese members. Wages, then, are heavily influenced by a range of factors, but particularly by whether you’re working for a Japanese or international company. In general, 75% of the international developers surveyed made 6 million yen or more. The real question is, is that enough for you to be comfortable in Japan? The answer is likely to be yes, if you don’t have overseas financial obligations or dependents. If you do, you’ll want to look carefully at rent, grocery, and education prices in your area of choice to guesstimate the expense of your Japanese lifestyle. Work-life balance Japan has a tradition of long hours and overtime. The Financial Times reports that the Japanese government has taken many measures to reduce the phenomenon of death from overwork (過労死, karoushi), from capping overtime to 100 hours a month, to setting up a national hotline for employees to report abusive companies. The results seem mixed. The Financial Times article adds that in 2024, employees at 26,000 organizations reported working illegal overtime at 44.5% of those businesses. On the other hand, average working hours for men fell to below 45 hours per week, and for women to below 35, which is similar to average working hours in the US. Still, 72% of the developers surveyed by TokyoDev worked for less than 40 hours a week. In addition, 70% of TokyoDev respondents cited work-life balance as their top workplace perk. The number of respondents happy with their working conditions came in just below that, at 69%. There was some correlation between hours worked and the type of employer, though. Employees at international subsidiaries were slightly more likely to enjoy shorter work weeks than those at Japanese companies. Remote work Remote work is still relatively new in Japan. Although more offices adopted the practice during Covid, many of them are now backtracking and requiring employees to return to the office, often with a hybrid schedule. While only 9% of TokyoDev respondents weren’t allowed any remote work, 76% of those required to work in-office were employed by Japan-headquartered companies. By contrast, of the 16% who worked fully remotely, only 57% worked for a Japanese company. Those with the option to work remotely really enjoy it. When asked what their most important workplace benefit was, 49% of respondents answered “remote work,” outstripping every other answer by far. Job security A major plus of working in Japan is job security—which, given the waves of layoffs at American tech companies, may now seem extra appealing. It’s overwhelmingly difficult to fire or lay off an employee with a permanent contract (正社員, seishain) in Japan, due to labor laws designed to protect the individual. This may be why 54% of TokyoDev survey respondents named “job security” as their most important workplace perk. Not every company will adhere to labor protection laws, and sometimes businesses pressure employees to “voluntarily” resign. Nonetheless, employees have significant legal recourse when companies attempt to fire them, change their contracts, or alter the current workplace conditions (sometimes, even if those conditions were never stated in writing). Developer stories TokyoDev regularly interviews developers working at our client companies, for information on both their specific positions and their general work environment. Our interviewees work with a variety of technology in many different roles, and at companies ranging from fintech enterprises like PayPay to game companies like Wizcorp. Why do developers choose Japan? In 2024 TokyoDev also asked developers, “What’s your favorite thing about Japan?” The results were: Safety: 21% Food: 13% Convenience: 11% Culture: 8% Peacefulness: 7% Nature: 5% Interestingly, there was a strong correlation between the amount of time someone had lived in Japan and their answer. Those who had been in Japan three years or less more frequently chose “food” or “culture.” Those who’d lived in Japan for four or more years were significantly more likely to answer “safety” or “peacefulness.” Safety It’s true that Japan enjoys a lower crime rate than many developed nations. The Security Journal UK ranked it ninth in a list of the world’s twenty safest countries. In 2024, World Population Review selected Tokyo as the safest city in the world. The homicide rate in 2023 was only 0.23 per 100,000 people, and has been steadily declining since the nineties. There are a few women-specific concerns, such as sexual violence. Nonetheless, the subjective experience of many women in the TokyoDev audience is that Japan feels safe; for example, they experience no trepidation walking around late at night. Of course, crime statistics don’t take into account natural disasters, of which Japan has more than its fair share. Thanks to being located on the Ring of Fire, Japan regularly copes with earthquakes and volcanic activity, and its location in the Pacific means that it is also affected by typhoons and tsunamis. To compensate, Japan also takes natural disaster countermeasures extremely seriously. It’s certainly the only country I’ve been to that posts large-scale evacuation maps on the side of the street, stores emergency supply stockpiles in public parks, and often requires schoolchildren to keep earthquake safety headgear at their desks. Food Food is another major draw. Many respondents simply wrote that “food” or “fresh, affordable food” was their favorite thing about Japan, but a few listed specific dishes. Favorite Japanese foods of the TokyoDev audience include: Yakiniku (self-grilled meat) Ramen Peaches Sushi Hiroshima-style okonomiyaki (savory pancake) Curry rice Onigiri (rice balls) Of those, sushi was mentioned most often. One respondent also answered the question with “drinking,” if you think that should count! Personal experiences Our contributors have also shared their personal experiences of moving to and working in Japan. We’ve got articles from Filipino, Indonesian, Australian, Vietnamese, and Mongolian developers, as well as others sharing what it’s like to work as a female software developer in Japan, or to live in Japan with a disability. Why shouldn’t you live in Japan? Safety, food, convenience, and culture are the most commonly-cited upsides of living in Japan. The downsides are the necessity of learning the language and some strict, yet often-unspoken, cultural expectations. Language Fluency in Japanese is not strictly necessary to live or work in Japan. Access to government services for you and your family, such as Japanese public school, is possible even if you speak little Japanese. (That doesn’t mean that most city hall clerks speak English; usually they’ll either locate a translator, or work with you via a translation app.) Nonetheless, TokyoDev’s 2024 survey showed that language ability was highly correlated to social success in Japan. In particular, 56% of all respondents were happy or very happy with their adjustment to Japanese culture. Breaking down that number, though, 76% of those with fluent or native Japanese ability reported being happy with their cultural adjustment, while only 34% of those with little or no Japanese ability were similarly happy. The same held true for social life satisfaction: 59% of those with fluent or native Japanese ability were happy or very happy with their social life, compared to 42% of those who don’t speak much Japanese. While English study is compulsory in Japan and starts in elementary school, as of 2025, only 28% of Japanese people speak English, and most of them can’t converse with high fluency. Living and working in Japan is possible without Japanese, but it’s hard to integrate, make friends, and participate in cultural activities if you can’t communicate with the locals. Cultural expectations As mentioned above, fluency in Japanese is closely allied to fluency in Japanese culture. At the same time, one does not necessarily imply the other. It’s possible to be fluent in Japanese, but still not grasp many of the unspoken rules your Japanese friends, neighbors, and coworkers operate by. Japan’s culture is both high-context and specifically averse to confrontation and outspokenness; if you get it “wrong,” people aren’t likely to tell you so. Japanese culture also values conformity: as the saying goes, “the nail that sticks up, gets hammered down.” While there are hints of things changing, with many Japanese companies saying support for greater diversity is necessary, minorities or those who are different may experience pressure to fit in. Introspection is required: are you the kind of person who’s adept at “reading the room,” a highly-valued quality in Japan? Conversely, are you self-confident enough to not sweat the small stuff? Either of these personality types may do well in Japan, but if social acceptance is very important to you, and you’re also uncomfortable with feeling occasionally awkward or uncertain, then you may struggle more to adjust. I want to go! How can I get there? If you’ve decided to immigrate to Japan, there are a number of ways to acquire a work visa. The simplest way is to get hired by a company operating in Japan. Alternatively, you can start your own business in Japan, come over on a Working Holiday, or even—if you’re very determined—arrive first as an English teacher. Let’s begin with the most straightforward route: getting hired as a developer. Getting a developer job in Japan As mentioned before, Japan needs more international developers. Some types of developers, though, will find it easier to get a job in Japan. In particular, companies in Japan are looking for the following: Senior developers. Companies are particularly interested in those with management experience and soft skills such as communication and leadership. Backend developers. This is one of the most widely-available roles for those who don’t speak Japanese. Developers who know Python. Python is one of Japan’s top in-demand languages. AI and Machine Learning Specialists. Japan is leaning hard on AI to help cope with demographic changes. Those who already know, or are willing to learn, Japanese. Combining those criteria, an experienced developer who speaks Japanese should have little difficulty finding a job! If you’re none of these things, you don’t need to give up—you just need to be patient, flexible, and willing to think outside the box. As Mercari Senior Technical Recruiter Clement Chidiac told me, “I know a bunch of people that managed to land a job because they’ve tried harder, going to meetups, reaching out to people, networking, that kind of thing.” Edmund Ho, Principal Consultant at Talisman Corporation, agreed that overseas candidates hoping to work in Japan for the first time face a tough road. He believes candidates should maintain a realistic, but optimistic, view of the process. “Keep a longer mindset,” he suggested. “Maybe you don’t get an offer the first year, but you do the second year.” “Stepping-stone” jobs Candidates from overseas do face a severe disadvantage: many companies, even those founded by non-Japanese people, are only open to developers who already live in Japan. Although getting a work visa for an overseas employee is cheaper and easier in Japan than in many countries, it still presents a barrier some organizations are reluctant to overcome. By contrast, once you’re already on the ground, more companies will be interested in your skills. This is why some developers settle on a “stepping-stone” position—in other words, a job that may not be all you hoped for, but that is willing to sponsor your visa and bring you into the country. Here’s where some important clarification on Japanese work visas is required. Work visas The most common visa for developers is the Engineer/Specialist in Humanities/International Services visa, a broad-category visa for foreign workers in those fields. To qualify, a developer must have a college degree, or have ten years of work experience, or have passed an approved IT exam. Another relatively common visa for high-level developers is the Highly-Skilled Professional (HSP) visa. To acquire it, applicants must score at least 70 points on an assessment scale that addresses age, education level, Japanese level, income, and more. The HSP visa has many advantages, but there is one important difference between it, and the more standard Engineer visa. The Engineer/Specialist in Humanities/International Services visa is not tied to a specific company. It grants you the legal right to work within those fields for a specific period of time in Japan. The Highly-Skilled Foreign Professional visa, on the other hand, is tied to a specific employer. If you want to change jobs, you’ll need to update your residency status with immigration. Some unscrupulous companies will try to claim that because they sponsored your Engineer/Specialist in Humanities/International Servicesvisa, you are obligated to remain with their company or risk being deported. This is not the case. If you do leave your job without another one lined up, you have three months to find another before you may be at risk for deportation. In addition, the fields of work covered by the Engineer/Specialist in Humanities/International Services visa are incredibly broad, and include everything from sales to product development to language instruction. As TokyoDev specifically confirmed with immigration, you can even come to Japan as an English instructor, then later work as a developer, without needing to alter your visa. Those with the HSP visa will need to go to immigration and alter their residency status each time they change roles. However, if you have the points and qualifications for an HSP visa, that means you’re also eligible for Permanent Residency within one to three years. Once you’ve obtained Permanent Residency, you’re free to pursue whatever sort of employment you like. International or Japanese company? As you begin your job hunt, you’ll hopefully receive responses from several sorts of companies: Japanese companies that also primarily hire Japanese people, Japanese companies with designated multinational developer teams, companies that were founded in Japan but nonetheless hire international developers for a variety of positions, and international subsidiaries. There are advantages and disadvantages to working with mostly-Japanese or mostly-international companies. Japanese companies The more Japanese a company is—both in philosophy and personnel—the more you’ll need Japanese language skills to thrive there. It’s true that a number of well-established Japanese tech companies are now creating developer teams designed to be multinational from the outset: typically, these are very English-language friendly. Some organizations, such as Money Forward, have even adopted English as the official company language. However, this often results in an institutional language barrier between development teams and the rest of the company, which is usually staffed by Japanese speakers. Developers are still encouraged to learn Japanese, particularly as they climb the promotional ladder, to help facilitate interdepartmental communication. Some companies, such as DeepX and Beatrust, either offer language classes themselves or provide a stipend for language learning. In addition to the language, you’ll also need to become “fluent” in Japanese business norms, which can be much more rigid and hierarchical than American or European company cultures. For example, at introductory drinking parties (themselves a potential surprise for many!), it is customary for new employees or women employees to go around with a bottle of beer and pour glasses for their managers and the company’s senior management. As mentioned in the cultural expectations section, most Japanese people won’t correct you even if you’re doing it all wrong, which leaves foreigners to discover their gaffes via trial-and-error. The advantage here is that you’ll be pressured, hopefully in a good way, to adapt swiftly to the Japanese language and business culture. There’s a sink-or-swim element to this approach, but if you’re serious about settling in Japan, then this “downside” could benefit you in the long run. Finally, there is the above-mentioned issue of compensation. On average, international companies pay more than Japanese ones; the median salary difference is around three million yen per year. Specific roles may be paid at higher rates, though, and most Japanese companies do offer bonuses. Many Japanese companies also offer other perks, such as housing stipends, spouse and child allowances, etc. If you receive an offer, it’s worth examining the whole compensation package before you make a decision. International companies The advantages of working either for an international company, or for a Japanese company that already employs many non-Japanese people, are straightforward: you can usually communicate in English, you already understand most of the business norms, and such companies typically pay developers more. You do run the risk of getting stuck in a rut, though. As mentioned earlier, TokyoDev found in its own survey that the correlation between Japanese language skills and social life satisfaction is high. You can of course study Japanese in your free time—and many do—but the more your work environment and social life revolve around English, the more difficult acquiring Japanese becomes. Want a job? Start here! If you’re ready to begin your job hunt, you can start with the TokyoDev job board. TokyoDev only works with companies we feel good about sending applicants to, and the job board includes positions that don’t require Japanese and that accept candidates from abroad. Other alternatives These visas don’t lead directly to working as a software developer in Japan, but can still help you get your foot in the door. DIY options If you prefer to be your own boss, there are several visas that allow you to set up a business in Japan. The Business Manager visa is typically good for one year, although repeated applicants may get longer terms. Applicants should have five million yen in a bank account when they apply, and there are some complicated requirements for getting and keeping the visa, such as maintaining an office, paying yourself a minimum salary, following proper accounting procedures, etc. The Startup visa is another option if the Business Manager visa appeals to you, but you don’t yet have the funds or connections to make it happen. You’ll be granted the equivalent of a Business Manager visa for up to one year so that you can launch your business in Japan. Working Holiday visa This is the path our own founder Paul McMahon took to get his first developer job in Japan. If you meet various qualifications, and you belong to a country that has a Working Holiday visa agreement with Japan, you can come to Japan for a period of one year and do work that is “incidental” to your holiday. In practice, this means you can work almost any job except for those that are considered “immoral” (bars, clubs, gambling, etc.). The Working Holiday visa is a great opportunity for those who have the option. It allows you to experience living and working in Japan without any long-term commitments, and also permits you to job-hunt freely without time or other visa constraints. J-Find visa The J-Find visa is a one-year visa, intended to let graduates of top universities job-hunt or prepare to found a start-up in Japan. To qualify, applicants should have: A degree from a university ranked in the top 100 by at least two world university rankings, or completed a graduate course there Graduated within five years of the application date At least 200,000 yen for initial living expenses TokyoDev contributor Oguzhan Karagözoglu received a J-Find visa, though he did run into some difficulties, particularly given immigration’s unfamiliarity with this relatively new type of visa. Digital Nomad visa This is another new visa category that allows foreigners from specific countries, who must make over 10 million yen or more a year, to work remotely from Japan for six months. Given that the application process alone can take months, the visa isn’t extendable or renewable, and you’re not granted residency, it’s questionable whether the pay-off is worth the effort. Still, if you have the option to work remotely and want to test out living in Japan before committing long-term, this is one way to do that. TokyoDev contributor Christian Mack was not only one of the first to acquire the Digital Nomad visa, but has since opened a consultancy to help others through the process. Conclusion If your takeaway from this article is, “Japan, here I come!” then there are more TokyoDev articles that can help you on your way. For example, if you want to bring your pets with you, you should know that you need to start preparing the import paperwork up to seven months in advance. If you’re ready now to start applying for jobs, check out the TokyoDev job board. You’ll also want to look at how to write a resume for a job in Japan, and our industry insider advice on passing the resume screening process. These tips for interviewing at Japanese tech companies would be useful, and when you’re ready for it, see this guide to salary negotiations. Once you’ve landed that job, we’ve got articles on everything from bringing your family with you, to getting your first bank account and apartment. In addition, the TokyoDev Discord hosts regular discussions on all these topics and more. It’s a great chance to make developer friends in Japan before you ever set foot in the country. Once you are here, you can join some of Japan’s top tech meetups, including many organized by TokyoDev itself. We look forward to seeing you soon!
We go over the "Wake up, Remix!" article by the remix team and talk about their decisions moving forward and also speculate on what is coming next.
TIL (or this week-ish I learned) why big-sigma and big-pi turn up in the notation of dependent type theory. I’ve long been aware of the zoo of more obscure Greek letters that turn up in papers about type system features of functional programming languages, μ, Λ, Π, Σ. Their meaning is usually clear from context but the reason for the choice of notation is usually not explained. I recently stumbled on an explanation for Π (dependent functions) and Σ (dependent pairs) which turn out to be nicer than I expected, and closely related to every-day algebraic data types. sizes of types The easiest way to understand algebraic data types is by counting the inhabitants of a type. For example: the unit type () has one inhabitant, (), and the number 1 is why it’s called the unit type; the bool type hass two inhabitants, false and true. I have even seen these types called 1 and 2 (cruelly, without explanation) in occasional papers. product types Or pairs or (more generally) tuples or records. Usually written, (A, B) The pair contains an A and a B, so the number of possible values is the number of possible A values multiplied by the number of possible B values. So it is spelled in type theory (and in Standard ML) like, A * B sum types Or disjoint union, or variant record. Declared in Haskell like, data Either a b = Left a | Right b Or in Rust like, enum Either<A, B> { Left(A), Right(B), } A value of the type is either an A or a B, so the number of possible values is the number of A values plus the number of B values. So it is spelled in type theory like, A + B dependent pairs In a dependent pair, the type of the second element depends on the value of the first. The classic example is a slice, roughly, struct IntSlice { len: usize, elem: &[i64; len], } (This might look a bit circular, but the idea is that an array [i64; N] must be told how big it is – its size is an explicit part of its type – but an IntSlice knows its own size. The traditional dependent “vector” type is a sized linked list, more like my array type than my slice type.) The classic way to write a dependent pair in type theory is like, Σ len: usize . Array(Int, len) The big sigma binds a variable that has a type annotation, with a scope covering the expression after the dot – similar syntax to a typed lambda expression. We can expand a simple example like this into a many-armed sum type: either an array of length zero, or an array of length 1, or an array of length 2, … but in a sigma type the discriminant is user-defined instead of hidden. The number of possible values of the type comes from adding up all the alternatives, a summation just like the big sigma summation we were taught in school. ∑ a ∈ A B a When the second element doesn’t depend on the first element, we can count the inhabitants like, ∑ A B = A*B And the sigma type simplifies to a product type. telescopes An aside from the main topic of these notes, I also recently encountered the name “telescope” for a multi-part dependent tuple or record. The name “telescope” comes from de Bruijn’s AUTOMATH, one of the first computerized proof assistants. (I first encountered de Bruijn as the inventor of numbered lambda bindings.) dependent functions The return type of a dependent function can vary according to the argument it is passed. For example, to construct an array we might write something like, fn repeat_zero(len: usize) -> [i64; len] { [0; len] } The classic way to write the type of repeat_zero() is very similar to the IntSlice dependent pair, but with a big pi instead of a big sigma: Π len: usize . Array(Int, len) Mmm, pie. To count the number of possible (pure, total) functions A ➞ B, we can think of each function as a big lookup table with A entries each containing a B. That is, a big tuple (B, B, … B), that is, B * B * … * B, that is, BA. Functions are exponential types. We can count a dependent function, where the number of possible Bs depends on which A we are passed, ∏ a ∈ A B a danger I have avoided the terms “dependent sum” and “dependent product”, because they seem perfectly designed to cause confusion over whether I am talking about variants, records, or functions. It kind of makes me want to avoid algebraic data type jargon, except that there isn’t a good alternative for “sum type”. Hmf.
Systems Distributed I'll be speaking at Systems Distributed next month! The talk is brand new and will aim to showcase some of the formal methods mental models that would be useful in mainstream software development. It has added some extra stress on my schedule, though, so expect the next two monthly releases of Logic for Programmers to be mostly minor changes. What does "Undecidable" mean, anyway Last week I read Against Curry-Howard Mysticism, which is a solid article I recommend reading. But this newsletter is actually about one comment: I like to see posts like this because I often feel like I can’t tell the difference between BS and a point I’m missing. Can we get one for questions like “Isn’t XYZ (Undecidable|NP-Complete|PSPACE-Complete)?” I've already written one of these for NP-complete, so let's do one for "undecidable". Step one is to pull a technical definition from the book Automata and Computability: A property P of strings is said to be decidable if ... there is a total Turing machine that accepts input strings that have property P and rejects those that do not. (pg 220) Step two is to translate the technical computer science definition into more conventional programmer terms. Warning, because this is a newsletter and not a blog post, I might be a little sloppy with terms. Machines and Decision Problems In automata theory, all inputs to a "program" are strings of characters, and all outputs are "true" or "false". A program "accepts" a string if it outputs "true", and "rejects" if it outputs "false". You can think of this as automata studying all pure functions of type f :: string -> boolean. Problems solvable by finding such an f are called "decision problems". This covers more than you'd think, because we can bootstrap more powerful functions from these. First, as anyone who's programmed in bash knows, strings can represent any other data. Second, we can fake non-boolean outputs by instead checking if a certain computation gives a certain result. For example, I can reframe the function add(x, y) = x + y as a decision problem like this: IS_SUM(str) { x, y, z = split(str, "#") return x + y == z } Then because IS_SUM("2#3#5") returns true, we know 2 + 3 == 5, while IS_SUM("2#3#6") is false. Since we can bootstrap parameters out of strings, I'll just say it's IS_SUM(x, y, z) going forward. A big part of automata theory is studying different models of computation with different strengths. One of the weakest is called "DFA". I won't go into any details about what DFA actually can do, but the important thing is that it can't solve IS_SUM. That is, if you give me a DFA that takes inputs of form x#y#z, I can always find an input where the DFA returns true when x + y != z, or an input which returns false when x + y == z. It's really important to keep this model of "solve" in mind: a program solves a problem if it correctly returns true on all true inputs and correctly returns false on all false inputs. (total) Turing Machines A Turing Machine (TM) is a particular type of computation model. It's important for two reasons: By the Church-Turing thesis, a Turing Machine is the "upper bound" of how powerful (physically realizable) computational models can get. This means that if an actual real-world programming language can solve a particular decision problem, so can a TM. Conversely, if the TM can't solve it, neither can the programming language.1 It's possible to write a Turing machine that takes a textual representation of another Turing machine as input, and then simulates that Turing machine as part of its computations. Property (1) means that we can move between different computational models of equal strength, proving things about one to learn things about another. That's why I'm able to write IS_SUM in a pseudocode instead of writing it in terms of the TM computational model (and why I was able to use split for convenience). Property (2) does several interesting things. First of all, it makes it possible to compose Turing machines. Here's how I can roughly ask if a given number is the sum of two primes, with "just" addition and boolean functions: IS_SUM_TWO_PRIMES(z): x := 1 y := 1 loop { if x > z {return false} if IS_PRIME(x) { if IS_PRIME(y) { if IS_SUM(x, y, z) { return true; } } } y := y + 1 if y > x { x := x + 1 y := 0 } } Notice that without the if x > z {return false}, the program would loop forever on z=2. A TM that always halts for all inputs is called total. Property (2) also makes "Turing machines" a possible input to functions, meaning that we can now make decision problems about the behavior of Turing machines. For example, "does the TM M either accept or reject x within ten steps?"2 IS_DONE_IN_TEN_STEPS(M, x) { for (i = 0; i < 10; i++) { `simulate M(x) for one step` if(`M accepted or rejected`) { return true } } return false } Decidability and Undecidability Now we have all of the pieces to understand our original definition: A property P of strings is said to be decidable if ... there is a total Turing machine that accepts input strings that have property P and rejects those that do not. (220) Let IS_P be the decision problem "Does the input satisfy P"? Then IS_P is decidable if it can be solved by a Turing machine, ie, I can provide some IS_P(x) machine that always accepts if x has property P, and always rejects if x doesn't have property P. If I can't do that, then IS_P is undecidable. IS_SUM(x, y, z) and IS_DONE_IN_TEN_STEPS(M, x) are decidable properties. Is IS_SUM_TWO_PRIMES(z) decidable? Some analysis shows that our corresponding program will either find a solution, or have x>z and return false. So yes, it is decidable. Notice there's an asymmetry here. To prove some property is decidable, I need just to need to find one program that correctly solves it. To prove some property is undecidable, I need to show that any possible program, no matter what it is, doesn't solve it. So with that asymmetry in mind, do are there any undecidable problems? Yes, quite a lot. Recall that Turing machines can accept encodings of other TMs as input, meaning we can write a TM that checks properties of Turing machines. And, by Rice's Theorem, almost every nontrivial semantic3 property of Turing machines is undecidable. The conventional way to prove this is to first find a single undecidable property H, and then use that to bootstrap undecidability of other properties. The canonical and most famous example of an undecidable problem is the Halting problem: "does machine M halt on input i?" It's pretty easy to prove undecidable, and easy to use it to bootstrap other undecidability properties. But again, any nontrivial property is undecidable. Checking a TM is total is undecidable. Checking a TM accepts any inputs is undecidable. Checking a TM solves IS_SUM is undecidable. Etc etc etc. What this doesn't mean in practice I often see the halting problem misconstrued as "it's impossible to tell if a program will halt before running it." This is wrong. The halting problem says that we cannot create an algorithm that, when applied to an arbitrary program, tells us whether the program will halt or not. It is absolutely possible to tell if many programs will halt or not. It's possible to find entire subcategories of programs that are guaranteed to halt. It's possible to say "a program constructed following constraints XYZ is guaranteed to halt." The actual consequence of undecidability is more subtle. If we want to know if a program has property P, undecidability tells us We will have to spend time and mental effort to determine if it has P We may not be successful. This is subtle because we're so used to living in a world where everything's undecidable that we don't really consider what the counterfactual would be like. In such a world there might be no need for Rust, because "does this C program guarantee memory-safety" is a decidable property. The entire field of formal verification could be unnecessary, as we could just check properties of arbitrary programs directly. We could automatically check if a change in a program preserves all existing behavior. Lots of famous math problems could be solved overnight. (This to me is a strong "intuitive" argument for why the halting problem is undecidable: a halt detector can be trivially repurposed as a program optimizer / theorem-prover / bcrypt cracker / chess engine. It's too powerful, so we should expect it to be impossible.) But because we don't live in that world, all of those things are hard problems that take effort and ingenuity to solve, and even then we often fail. To be pendantic, a TM can't do things like "scrape a webpage" or "render a bitmap", but we're only talking about computational decision problems here. ↩ One notation I've adopted in Logic for Programmers is marking abstract sections of pseudocode with backticks. It's really handy! ↩ Nontrivial meaning "at least one TM has this property and at least one TM doesn't have this property". Semantic meaning "related to whether the TM accepts, rejects, or runs forever on a class of inputs". IS_DONE_IN_TEN_STEPS is not a semantic property, as it doesn't tell us anything about inputs that take longer than ten steps. ↩