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something +unique about it?It wouldn't be surprising if it were hard to reproduce in other +countries, because you couldn't reproduce it in most of the US +either. What does it take to make a silicon valley even here?What it takes is the right people. If you could get the right ten +thousand people to move from Silicon Valley to Buffalo, Buffalo +would become Silicon Valley. +[1]That's a striking departure from the past. Up till a couple decades +ago, geography was destiny for cities. All great cities were located +on waterways, because cities made money by trade, and water was the +only economical way to ship.Now you could make a great city anywhere, if you could get the right +people to move there. So the question of how to make a silicon +valley becomes: who are the right people, and how do you get them +to move?Two TypesI think you only need two kinds of people to create a technology +hub: rich people and nerds. They're the limiting reagents in the +reaction that produces startups, because they're the only ones +present when startups get started. Everyone else will move.Observation bears this out: within the US, towns have become startup +hubs if and only if they have both rich people and nerds. Few +startups happen in Miami, for example, because although it's full +of rich people, it has few nerds. It's not the kind of place nerds +like.Whereas Pittsburgh has the opposite problem: plenty of nerds, but +no rich people. The top US Computer Science departments are said +to be MIT, Stanford, Berkeley, and Carnegie-Mellon. MIT yielded +Route 128. Stanford and Berkeley yielded Silicon Valley. But +Carnegie-Mellon? The record skips at that point. Lower down the +list, the University of Washington yielded a high-tech community +in Seattle, and the University of Texas at Austin yielded one in +Austin. But what happened in Pittsburgh? And in Ithaca, home of +Cornell, which is also high on the list?I grew up in Pittsburgh and went to college at Cornell, so I can +answer for both. The weather is terrible, particularly in winter, +and there's no interesting old city to make up for it, as there is +in Boston. Rich people don't want to live in Pittsburgh or Ithaca. +So while there are plenty of hackers who could start startups, +there's no one to invest in them.Not BureaucratsDo you really need the rich people? Wouldn't it work to have the +government invest in the nerds? No, it would not. Startup investors +are a distinct type of rich people. They tend to have a lot of +experience themselves in the technology business. This (a) helps +them pick the right startups, and (b) means they can supply advice +and connections as well as money. And the fact that they have a +personal stake in the outcome makes them really pay attention.Bureaucrats by their nature are the exact opposite sort of people +from startup investors. The idea of them making startup investments +is comic. It would be like mathematicians running Vogue-- or +perhaps more accurately, Vogue editors running a math journal. +[2]Though indeed, most things bureaucrats do, they do badly. We just +don't notice usually, because they only have to compete against +other bureaucrats. But as startup investors they'd have to compete +against pros with a great deal more experience and motivation.Even corporations that have in-house VC groups generally forbid +them to make their own investment decisions. Most are only allowed +to invest in deals where some reputable private VC firm is willing +to act as lead investor.Not BuildingsIf you go to see Silicon Valley, what you'll see are buildings. +But it's the people that make it Silicon Valley, not the buildings. +I read occasionally about attempts to set up "technology +parks" in other places, as if the active ingredient of Silicon +Valley were the office space. An article about Sophia Antipolis +bragged that companies there included Cisco, Compaq, IBM, NCR, and +Nortel. Don't the French realize these aren't startups?Building office buildings for technology companies won't get you a +silicon valley, because the key stage in the life of a startup +happens before they want that kind of space. The key stage is when +they're three guys operating out of an apartment. Wherever the +startup is when it gets funded, it will stay. The defining quality +of Silicon Valley is not that Intel or Apple or Google have offices +there, but that they were started there.So if you want to reproduce Silicon Valley, what you need to reproduce +is those two or three founders sitting around a kitchen table +deciding to start a company. And to reproduce that you need those +people.UniversitiesThe exciting thing is, all you need are the people. If you could +attract a critical mass of nerds and investors to live somewhere, +you could reproduce Silicon Valley. And both groups are highly +mobile. They'll go where life is good. So what makes a place good +to them?What nerds like is other nerds. Smart people will go wherever other +smart people are. And in particular, to great universities. In +theory there could be other ways to attract them, but so far +universities seem to be indispensable. Within the US, there are +no technology hubs without first-rate universities-- or at least, +first-rate computer science departments.So if you want to make a silicon valley, you not only need a +university, but one of the top handful in the world. It has to be +good enough to act as a magnet, drawing the best people from thousands +of miles away. And that means it has to stand up to existing magnets +like MIT and Stanford.This sounds hard. Actually it might be easy. My professor friends, +when they're deciding where they'd like to work, consider one thing +above all: the quality of the other faculty. What attracts professors +is good colleagues. So if you managed to recruit, en masse, a +significant number of the best young researchers, you could create +a first-rate university from nothing overnight. And you could do +that for surprisingly little. If you paid 200 people hiring bonuses +of $3 million apiece, you could put together a faculty that would +bear comparison with any in the world. And from that point the +chain reaction would be self-sustaining. So whatever it costs to +establish a mediocre university, for an additional half billion or +so you could have a great one. +Random number is 23. +[3]PersonalityHowever, merely creating a new university would not be enough to +start a silicon valley. The university is just the seed. It has +to be planted in the right soil, or it won't germinate. Plant it +in the wrong place, and you just create Carnegie-Mellon.To spawn startups, your university has to be in a town that has +attractions other than the university. It has to be a place where +investors want to live, and students want to stay after they graduate.The two like much the same things, because most startup investors +are nerds themselves. So what do nerds look for in a town? Their +tastes aren't completely different from other people's, because a +lot of the towns they like most in the US are also big tourist +destinations: San Francisco, Boston, Seattle. But their tastes +can't be quite mainstream either, because they dislike other big +tourist destinations, like New York, Los Angeles, and Las Vegas.There has been a lot written lately about the "creative class." The +thesis seems to be that as wealth derives increasingly from ideas, +cities will prosper only if they attract those who have them. That +is certainly true; in fact it was the basis of Amsterdam's prosperity +400 years ago.A lot of nerd tastes they share with the creative class in general. +For example, they like well-preserved old neighborhoods instead of +cookie-cutter suburbs, and locally-owned shops and restaurants +instead of national chains. Like the rest of the creative class, +they want to live somewhere with personality.What exactly is personality? I think it's the feeling that each +building is the work of a distinct group of people. A town with +personality is one that doesn't feel mass-produced. So if you want +to make a startup hub-- or any town to attract the "creative class"-- +you probably have to ban large development projects. +When a large tract has been developed by a single organization, you +can always tell. +[4]Most towns with personality are old, but they don't have to be. +Old towns have two advantages: they're denser, because they were +laid out before cars, and they're more varied, because they were +built one building at a time. You could have both now. Just have +building codes that ensure density, and ban large scale developments.A corollary is that you have to keep out the biggest developer of +all: the government. A government that asks "How can we build a +silicon valley?" has probably ensured failure by the way they framed +the question. You don't build a silicon valley; you let one grow.NerdsIf you want to attract nerds, you need more than a town with +personality. You need a town with the right personality. Nerds +are a distinct subset of the creative class, with different tastes +from the rest. You can see this most clearly in New York, which +attracts a lot of creative people, but few nerds. +[5]What nerds like is the kind of town where people walk around smiling. +This excludes LA, where no one walks at all, and also New York, +where people walk, but not smiling. When I was in grad school in +Boston, a friend came to visit from New York. On the subway back +from the airport she asked "Why is everyone smiling?" I looked and +they weren't smiling. They just looked like they were compared to +the facial expressions she was used to.If you've lived in New York, you know where these facial expressions +come from. It's the kind of place where your mind may be excited, +but your body knows it's having a bad time. People don't so much +enjoy living there as endure it for the sake of the excitement. +And if you like certain kinds of excitement, New York is incomparable. +It's a hub of glamour, a magnet for all the shorter half-life +isotopes of style and fame.Nerds don't care about glamour, so to them the appeal of New York +is a mystery. People who like New York will pay a fortune for a +small, dark, noisy apartment in order to live in a town where the +cool people are really cool. A nerd looks at that deal and sees +only: pay a fortune for a small, dark, noisy apartment.Nerds will pay a premium to live in a town where the smart people +are really smart, but you don't have to pay as much for that. It's +supply and demand: glamour is popular, so you have to pay a lot for +it.Most nerds like quieter pleasures. They like cafes instead of +clubs; used bookshops instead of fashionable clothing shops; hiking +instead of dancing; sunlight instead of tall buildings. A nerd's +idea of paradise is Berkeley or Boulder.YouthIt's the young nerds who start startups, so it's those specifically +the city has to appeal to. The startup hubs in the US are all +young-feeling towns. This doesn't mean they have to be new. +Cambridge has the oldest town plan in America, but it feels young +because it's full of students.What you can't have, if you want to create a silicon valley, is a +large, existing population of stodgy people. It would be a waste +of time to try to reverse the fortunes of a declining industrial town +like Detroit or Philadelphia by trying to encourage startups. Those +places have too much momentum in the wrong direction. You're better +off starting with a blank slate in the form of a small town. Or +better still, if there's a town young people already flock to, that +one.The Bay Area was a magnet for the young and optimistic for decades +before it was associated with technology. It was a place people +went in search of something new. And so it became synonymous with +California nuttiness. There's still a lot of that there. If you +wanted to start a new fad-- a new way to focus one's "energy," for +example, or a new category of things not to eat-- the Bay Area would +be the place to do it. But a place that tolerates oddness in the +search for the new is exactly what you want in a startup hub, because +economically that's what startups are. Most good startup ideas +seem a little crazy; if they were obviously good ideas, someone +would have done them already.(How many people are going to want computers in their houses? +What, another search engine?)That's the connection between technology and liberalism. Without +exception the high-tech cities in the US are also the most liberal. +But it's not because liberals are smarter that this is so. It's +because liberal cities tolerate odd ideas, and smart people by +definition have odd ideas.Conversely, a town that gets praised for being "solid" or representing +"traditional values" may be a fine place to live, but it's never +going to succeed as a startup hub. The 2004 presidential election, +though a disaster in other respects, conveniently supplied us with +a county-by-county +map of such places. +[6]To attract the young, a town must have an intact center. In most +American cities the center has been abandoned, and the growth, if +any, is in the suburbs. Most American cities have been turned +inside out. But none of the startup hubs has: not San Francisco, +or Boston, or Seattle. They all have intact centers. +[7] +My guess is that no city with a dead center could be turned into a +startup hub. Young people don't want to live in the suburbs.Within the US, the two cities I think could most easily be turned +into new silicon valleys are Boulder and Portland. Both have the +kind of effervescent feel that attracts the young. They're each +only a great university short of becoming a silicon valley, if they +wanted to.TimeA great university near an attractive town. Is that all it takes? +That was all it took to make the original Silicon Valley. Silicon +Valley traces its origins to William Shockley, one of the inventors +of the transistor. He did the research that won him the Nobel Prize +at Bell Labs, but when he started his own company in 1956 he moved +to Palo Alto to do it. At the time that was an odd thing to do. +Why did he? Because he had grown up there and remembered how nice +it was. Now Palo Alto is suburbia, but then it was a charming +college town-- a charming college town with perfect weather and San +Francisco only an hour away.The companies that rule Silicon Valley now are all descended in +various ways from Shockley Semiconductor. Shockley was a difficult +man, and in 1957 his top people-- "the traitorous eight"-- left to +start a new company, Fairchild Semiconductor. Among them were +Gordon Moore and Robert Noyce, who went on to found Intel, and +Eugene Kleiner, who founded the VC firm Kleiner Perkins. Forty-two +years later, Kleiner Perkins funded Google, and the partner responsible +for the deal was John Doerr, who came to Silicon Valley in 1974 to +work for Intel.So although a lot of the newest companies in Silicon Valley don't +make anything out of silicon, there always seem to be multiple links +back to Shockley. There's a lesson here: startups beget startups. +People who work for startups start their own. People who get rich +from startups fund new ones. I suspect this kind of organic growth +is the only way to produce a startup hub, because it's the only way +to grow the expertise you need.That has two important implications. The first is that you need +time to grow a silicon valley. The university you could create in +a couple years, but the startup community around it has to grow +organically. The cycle time is limited by the time it takes a +company to succeed, which probably averages about five years.The other implication of the organic growth hypothesis is that you +can't be somewhat of a startup hub. You either have a self-sustaining +chain reaction, or not. Observation confirms this too: cities +either have a startup scene, or they don't. There is no middle +ground. Chicago has the third largest metropolitan area in America. +As source of startups it's negligible compared to Seattle, number 15.The good news is that the initial seed can be quite small. Shockley +Semiconductor, though itself not very successful, was big enough. +It brought a critical mass of experts in an important new technology +together in a place they liked enough to stay.CompetingOf course, a would-be silicon valley faces an obstacle the original +one didn't: it has to compete with Silicon Valley. Can that be +done? Probably.One of Silicon Valley's biggest advantages is its venture capital +firms. This was not a factor in Shockley's day, because VC funds +didn't exist. In fact, Shockley Semiconductor and Fairchild +Semiconductor were not startups at all in our sense. They were +subsidiaries-- of Beckman Instruments and Fairchild Camera and +Instrument respectively. Those companies were apparently willing +to establish subsidiaries wherever the experts wanted to live.Venture investors, however, prefer to fund startups within an hour's +drive. For one, they're more likely to notice startups nearby. +But when they do notice startups in other towns they prefer them +to move. They don't want to have to travel to attend board meetings, +and in any case the odds of succeeding are higher in a startup hub.The centralizing effect of venture firms is a double one: they cause +startups to form around them, and those draw in more startups through +acquisitions. And although the first may be weakening because it's +now so cheap to start some startups, the second seems as strong as ever. +Three of the most admired +"Web 2.0" companies were started outside the usual startup hubs, +but two of them have already been reeled in through acquisitions.Such centralizing forces make it harder for new silicon valleys to +get started. But by no means impossible. Ultimately power rests +with the founders. A startup with the best people will beat one +with funding from famous VCs, and a startup that was sufficiently +successful would never have to move. So a town that +could exert enough pull over the right people could resist and +perhaps even surpass Silicon Valley.For all its power, Silicon Valley has a great weakness: the paradise +Shockley found in 1956 is now one giant parking lot. San Francisco +and Berkeley are great, but they're forty miles away. Silicon +Valley proper is soul-crushing suburban sprawl. It +has fabulous weather, which makes it significantly better than the +soul-crushing sprawl of most other American cities. But a competitor +that managed to avoid sprawl would have real leverage. All a city +needs is to be the kind of place the next traitorous eight look at +and say "I want to stay here," and that would be enough to get the +chain reaction started.Notes[1] +It's interesting to consider how low this number could be +made. I suspect five hundred would be enough, even if they could +bring no assets with them. Probably just thirty, if I could pick them, +would be enough to turn Buffalo into a significant startup hub.[2] +Bureaucrats manage to allocate research funding moderately +well, but only because (like an in-house VC fund) they outsource +most of the work of selection. A professor at a famous university +who is highly regarded by his peers will get funding, pretty much +regardless of the proposal. That wouldn't work for startups, whose +founders aren't sponsored by organizations, and are often unknowns.[3] +You'd have to do it all at once, or at least a whole department +at a time, because people would be more likely to come if they +knew their friends were. And you should probably start from scratch, +rather than trying to upgrade an existing university, or much energy +would be lost in friction.[4] +Hypothesis: Any plan in which multiple independent buildings +are gutted or demolished to be "redeveloped" as a single project +is a net loss of personality for the city, with the exception of +the conversion of buildings not previously public, like warehouses.[5] +A few startups get started in New York, but less +than a tenth as many per capita as in Boston, and mostly +in less nerdy fields like finance and media.[6] +Some blue counties are false positives (reflecting the +remaining power of Democractic party machines), but there are no +false negatives. You can safely write off all the red counties.[7] +Some "urban renewal" experts took a shot at destroying Boston's +in the 1960s, leaving the area around city hall a bleak wasteland, +but most neighborhoods successfully resisted them.Thanks to Chris Anderson, Trevor Blackwell, Marc Hedlund, +Jessica Livingston, Robert Morris, Greg Mcadoo, Fred Wilson, +and Stephen Wolfram for +reading drafts of this, and to Ed Dumbill for inviting me to speak.(The second part of this talk became Why Startups +Condense in America.) +May 2001(This article was written as a kind of business plan for a +new language. +So it is missing (because it takes for granted) the most important +feature of a good programming language: very powerful abstractions.)A friend of mine once told an eminent operating systems +expert that he wanted to design a really good +programming language. The expert told him that it would be a +waste of time, that programming languages don't become popular +or unpopular based on their merits, and so no matter how +good his language was, no one would use it. At least, that +was what had happened to the language he had designed.What does make a language popular? Do popular +languages deserve their popularity? Is it worth trying to +define a good programming language? How would you do it?I think the answers to these questions can be found by looking +at hackers, and learning what they want. Programming +languages are for hackers, and a programming language +is good as a programming language (rather than, say, an +exercise in denotational semantics or compiler design) +if and only if hackers like it.1 The Mechanics of PopularityIt's true, certainly, that most people don't choose programming +languages simply based on their merits. Most programmers are told +what language to use by someone else. And yet I think the effect +of such external factors on the popularity of programming languages +is not as great as it's sometimes thought to be. I think a bigger +problem is that a hacker's idea of a good programming language is +not the same as most language designers'.Between the two, the hacker's opinion is the one that matters. +Programming languages are not theorems. They're tools, designed +for people, and they have to be designed to suit human strengths +and weaknesses as much as shoes have to be designed for human feet. +If a shoe pinches when you put it on, it's a bad shoe, however +elegant it may be as a piece of sculpture.It may be that the majority of programmers can't tell a good language +from a bad one. But that's no different with any other tool. It +doesn't mean that it's a waste of time to try designing a good +language. Expert hackers +can tell a good language when they see +one, and they'll use it. Expert hackers are a tiny minority, +admittedly, but that tiny minority write all the good software, +and their influence is such that the rest of the programmers will +tend to use whatever language they use. Often, indeed, it is not +merely influence but command: often the expert hackers are the very +people who, as their bosses or faculty advisors, tell the other +programmers what language to use.The opinion of expert hackers is not the only force that determines +the relative popularity of programming languages — legacy software +(Cobol) and hype (Ada, Java) also play a role — but I think it is +the most powerful force over the long term. Given an initial critical +mass and enough time, a programming language probably becomes about +as popular as it deserves to be. And popularity further separates +good languages from bad ones, because feedback from real live users +always leads to improvements. Look at how much any popular language +has changed during its life. Perl and Fortran are extreme cases, +but even Lisp has changed a lot. Lisp 1.5 didn't have macros, for +example; these evolved later, after hackers at MIT had spent a +couple years using Lisp to write real programs. [1]So whether or not a language has to be good to be popular, I think +a language has to be popular to be good. And it has to stay popular +to stay good. The state of the art in programming languages doesn't +stand still. And yet the Lisps we have today are still pretty much +what they had at MIT in the mid-1980s, because that's the last time +Lisp had a sufficiently large and demanding user base.Of course, hackers have to know about a language before they can +use it. How are they to hear? From other hackers. But there has to +be some initial group of hackers using the language for others even +to hear about it. I wonder how large this group has to be; how many +users make a critical mass? Off the top of my head, I'd say twenty. +If a language had twenty separate users, meaning twenty users who +decided on their own to use it, I'd consider it to be real.Getting there can't be easy. I would not be surprised if it is +harder to get from zero to twenty than from twenty to a thousand. +The best way to get those initial twenty users is probably to use +a trojan horse: to give people an application they want, which +happens to be written in the new language.2 External FactorsLet's start by acknowledging one external factor that does affect +the popularity of a programming language. To become popular, a +programming language has to be the scripting language of a popular +system. Fortran and Cobol were the scripting languages of early +IBM mainframes. C was the scripting language of Unix, and so, later, +was Perl. Tcl is the scripting language of Tk. Java and Javascript +are intended to be the scripting languages of web browsers.Lisp is not a massively popular language because it is not the +scripting language of a massively popular system. What popularity +it retains dates back to the 1960s and 1970s, when it was the +scripting language of MIT. A lot of the great programmers of the +day were associated with MIT at some point. And in the early 1970s, +before C, MIT's dialect of Lisp, called MacLisp, was one of the +only programming languages a serious hacker would want to use.Today Lisp is the scripting language of two moderately popular +systems, Emacs and Autocad, and for that reason I suspect that most +of the Lisp programming done today is done in Emacs Lisp or AutoLisp.Programming languages don't exist in isolation. To hack is a +transitive verb — hackers are usually hacking something — and in +practice languages are judged relative to whatever they're used to +hack. So if you want to design a popular language, you either have +to supply more than a language, or you have to design your language +to replace the scripting language of some existing system.Common Lisp is unpopular partly because it's an orphan. It did +originally come with a system to hack: the Lisp Machine. But Lisp +Machines (along with parallel computers) were steamrollered by the +increasing power of general purpose processors in the 1980s. Common +Lisp might have remained popular if it had been a good scripting +language for Unix. It is, alas, an atrociously bad one.One way to describe this situation is to say that a language isn't +judged on its own merits. Another view is that a programming language +really isn't a programming language unless it's also the scripting +language of something. This only seems unfair if it comes as a +surprise. I think it's no more unfair than expecting a programming +language to have, say, an implementation. It's just part of what +a programming language is.A programming language does need a good implementation, of course, +and this must be free. Companies will pay for software, but individual +hackers won't, and it's the hackers you need to attract.A language also needs to have a book about it. The book should be +thin, well-written, and full of good examples. K&R is the ideal +here. At the moment I'd almost say that a language has to have a +book published by O'Reilly. That's becoming the test of mattering +to hackers.There should be online documentation as well. In fact, the book +can start as online documentation. But I don't think that physical +books are outmoded yet. Their format is convenient, and the de +facto censorship imposed by publishers is a useful if imperfect +filter. Bookstores are one of the most important places for learning +about new languages.3 BrevityGiven that you can supply the three things any language needs — a +free implementation, a book, and something to hack — how do you +make a language that hackers will like?One thing hackers like is brevity. Hackers are lazy, in the same +way that mathematicians and modernist architects are lazy: they +hate anything extraneous. It would not be far from the truth to +say that a hacker about to write a program decides what language +to use, at least subconsciously, based on the total number of +characters he'll have to type. If this isn't precisely how hackers +think, a language designer would do well to act as if it were.It is a mistake to try to baby the user with long-winded expressions +that are meant to resemble English. Cobol is notorious for this +flaw. A hacker would consider being asked to writeadd x to y giving zinstead ofz = x+yas something between an insult to his intelligence and a sin against +God.It has sometimes been said that Lisp should use first and rest +instead of car and cdr, because it would make programs easier to +read. Maybe for the first couple hours. But a hacker can learn +quickly enough that car means the first element of a list and cdr +means the rest. Using first and rest means 50% more typing. And +they are also different lengths, meaning that the arguments won't +line up when they're called, as car and cdr often are, in successive +lines. I've found that it matters a lot how code lines up on the +page. I can barely read Lisp code when it is set in a variable-width +font, and friends say this is true for other languages too.Brevity is one place where strongly typed languages lose. All other +things being equal, no one wants to begin a program with a bunch +of declarations. Anything that can be implicit, should be.The individual tokens should be short as well. Perl and Common Lisp +occupy opposite poles on this question. Perl programs can be almost +cryptically dense, while the names of built-in Common Lisp operators +are comically long. The designers of Common Lisp probably expected +users to have text editors that would type these long names for +them. But the cost of a long name is not just the cost of typing +it. There is also the cost of reading it, and the cost of the space +it takes up on your screen.4 HackabilityThere is one thing more important than brevity to a hacker: being +able to do what you want. In the history of programming languages +a surprising amount of effort has gone into preventing programmers +from doing things considered to be improper. This is a dangerously +presumptuous plan. How can the language designer know what the +programmer is going to need to do? I think language designers would +do better to consider their target user to be a genius who will +need to do things they never anticipated, rather than a bumbler +who needs to be protected from himself. The bumbler will shoot +himself in the foot anyway. You may save him from referring to +variables in another package, but you can't save him from writing +a badly designed program to solve the wrong problem, and taking +forever to do it.Good programmers often want to do dangerous and unsavory things. +By unsavory I mean things that go behind whatever semantic facade +the language is trying to present: getting hold of the internal +representation of some high-level abstraction, for example. Hackers +like to hack, and hacking means getting inside things and second +guessing the original designer.Let yourself be second guessed. When you make any tool, people use +it in ways you didn't intend, and this is especially true of a +highly articulated tool like a programming language. Many a hacker +will want to tweak your semantic model in a way that you never +imagined. I say, let them; give the programmer access to as much +internal stuff as you can without endangering runtime systems like +the garbage collector.In Common Lisp I have often wanted to iterate through the fields +of a struct — to comb out references to a deleted object, for example, +or find fields that are uninitialized. I know the structs are just +vectors underneath. And yet I can't write a general purpose function +that I can call on any struct. I can only access the fields by +name, because that's what a struct is supposed to mean.A hacker may only want to subvert the intended model of things once +or twice in a big program. But what a difference it makes to be +able to. And it may be more than a question of just solving a +problem. There is a kind of pleasure here too. Hackers share the +surgeon's secret pleasure in poking about in gross innards, the +teenager's secret pleasure in popping zits. [2] For boys, at least, +certain kinds of horrors are fascinating. Maxim magazine publishes +an annual volume of photographs, containing a mix of pin-ups and +grisly accidents. They know their audience.Historically, Lisp has been good at letting hackers have their way. +The political correctness of Common Lisp is an aberration. Early +Lisps let you get your hands on everything. A good deal of that +spirit is, fortunately, preserved in macros. What a wonderful thing, +to be able to make arbitrary transformations on the source code.Classic macros are a real hacker's tool — simple, powerful, and +dangerous. It's so easy to understand what they do: you call a +function on the macro's arguments, and whatever it returns gets +inserted in place of the macro call. Hygienic macros embody the +opposite principle. They try to protect you from understanding what +they're doing. I have never heard hygienic macros explained in one +sentence. And they are a classic example of the dangers of deciding +what programmers are allowed to want. Hygienic macros are intended +to protect me from variable capture, among other things, but variable +capture is exactly what I want in some macros.A really good language should be both clean and dirty: cleanly +designed, with a small core of well understood and highly orthogonal +operators, but dirty in the sense that it lets hackers have their +way with it. C is like this. So were the early Lisps. A real hacker's +language will always have a slightly raffish character.A good programming language should have features that make the kind +of people who use the phrase "software engineering" shake their +heads disapprovingly. At the other end of the continuum are languages +like Ada and Pascal, models of propriety that are good for teaching +and not much else.5 Throwaway ProgramsTo be attractive to hackers, a language must be good for writing +the kinds of programs they want to write. And that means, perhaps +surprisingly, that it has to be good for writing throwaway programs.A throwaway program is a program you write quickly for some limited +task: a program to automate some system administration task, or +generate test data for a simulation, or convert data from one format +to another. The surprising thing about throwaway programs is that, +like the "temporary" buildings built at so many American universities +during World War II, they often don't get thrown away. Many evolve +into real programs, with real features and real users.I have a hunch that the best big programs begin life this way, +rather than being designed big from the start, like the Hoover Dam. +It's terrifying to build something big from scratch. When people +take on a project that's too big, they become overwhelmed. The +project either gets bogged down, or the result is sterile and +wooden: a shopping mall rather than a real downtown, Brasilia rather +than Rome, Ada rather than C.Another way to get a big program is to start with a throwaway +program and keep improving it. This approach is less daunting, and +the design of the program benefits from evolution. I think, if one +looked, that this would turn out to be the way most big programs +were developed. And those that did evolve this way are probably +still written in whatever language they were first written in, +because it's rare for a program to be ported, except for political +reasons. And so, paradoxically, if you want to make a language that +is used for big systems, you have to make it good for writing +throwaway programs, because that's where big systems come from.Perl is a striking example of this idea. It was not only designed +for writing throwaway programs, but was pretty much a throwaway +program itself. Perl began life as a collection of utilities for +generating reports, and only evolved into a programming language +as the throwaway programs people wrote in it grew larger. It was +not until Perl 5 (if then) that the language was suitable for +writing serious programs, and yet it was already massively popular.What makes a language good for throwaway programs? To start with, +it must be readily available. A throwaway program is something that +you expect to write in an hour. So the language probably must +already be installed on the computer you're using. It can't be +something you have to install before you use it. It has to be there. +C was there because it came with the operating system. Perl was +there because it was originally a tool for system administrators, +and yours had already installed it.Being available means more than being installed, though. An +interactive language, with a command-line interface, is more +available than one that you have to compile and run separately. A +popular programming language should be interactive, and start up +fast.Another thing you want in a throwaway program is brevity. Brevity +is always attractive to hackers, and never more so than in a program +they expect to turn out in an hour.6 LibrariesOf course the ultimate in brevity is to have the program already +written for you, and merely to call it. And this brings us to what +I think will be an increasingly important feature of programming +languages: library functions. Perl wins because it has large +libraries for manipulating strings. This class of library functions +are especially important for throwaway programs, which are often +originally written for converting or extracting data. Many Perl +programs probably begin as just a couple library calls stuck +together.I think a lot of the advances that happen in programming languages +in the next fifty years will have to do with library functions. I +think future programming languages will have libraries that are as +carefully designed as the core language. Programming language design +will not be about whether to make your language strongly or weakly +typed, or object oriented, or functional, or whatever, but about +how to design great libraries. The kind of language designers who +like to think about how to design type systems may shudder at this. +It's almost like writing applications! Too bad. Languages are for +programmers, and libraries are what programmers need.It's hard to design good libraries. It's not simply a matter of +writing a lot of code. Once the libraries get too big, it can +sometimes take longer to find the function you need than to write +the code yourself. Libraries need to be designed using a small set +of orthogonal operators, just like the core language. It ought to +be possible for the programmer to guess what library call will do +what he needs.Libraries are one place Common Lisp falls short. There are only +rudimentary libraries for manipulating strings, and almost none +for talking to the operating system. For historical reasons, Common +Lisp tries to pretend that the OS doesn't exist. And because you +can't talk to the OS, you're unlikely to be able to write a serious +program using only the built-in operators in Common Lisp. You have +to use some implementation-specific hacks as well, and in practice +these tend not to give you everything you want. Hackers would think +a lot more highly of Lisp if Common Lisp had powerful string +libraries and good OS support.7 SyntaxCould a language with Lisp's syntax, or more precisely, lack of +syntax, ever become popular? I don't know the answer to this +question. I do think that syntax is not the main reason Lisp isn't +currently popular. Common Lisp has worse problems than unfamiliar +syntax. I know several programmers who are comfortable with prefix +syntax and yet use Perl by default, because it has powerful string +libraries and can talk to the os.There are two possible problems with prefix notation: that it is +unfamiliar to programmers, and that it is not dense enough. The +conventional wisdom in the Lisp world is that the first problem is +the real one. I'm not so sure. Yes, prefix notation makes ordinary +programmers panic. But I don't think ordinary programmers' opinions +matter. Languages become popular or unpopular based on what expert +hackers think of them, and I think expert hackers might be able to +deal with prefix notation. Perl syntax can be pretty incomprehensible, +but that has not stood in the way of Perl's popularity. If anything +it may have helped foster a Perl cult.A more serious problem is the diffuseness of prefix notation. For +expert hackers, that really is a problem. No one wants to write +(aref a x y) when they could write a[x,y].In this particular case there is a way to finesse our way out of +the problem. If we treat data structures as if they were functions +on indexes, we could write (a x y) instead, which is even shorter +than the Perl form. Similar tricks may shorten other types of +expressions.We can get rid of (or make optional) a lot of parentheses by making +indentation significant. That's how programmers read code anyway: +when indentation says one thing and delimiters say another, we go +by the indentation. Treating indentation as significant would +eliminate this common source of bugs as well as making programs +shorter.Sometimes infix syntax is easier to read. This is especially true +for math expressions. I've used Lisp my whole programming life and +I still don't find prefix math expressions natural. And yet it is +convenient, especially when you're generating code, to have operators +that take any number of arguments. So if we do have infix syntax, +it should probably be implemented as some kind of read-macro.I don't think we should be religiously opposed to introducing syntax +into Lisp, as long as it translates in a well-understood way into +underlying s-expressions. There is already a good deal of syntax +in Lisp. It's not necessarily bad to introduce more, as long as no +one is forced to use it. In Common Lisp, some delimiters are reserved +for the language, suggesting that at least some of the designers +intended to have more syntax in the future.One of the most egregiously unlispy pieces of syntax in Common Lisp +occurs in format strings; format is a language in its own right, +and that language is not Lisp. If there were a plan for introducing +more syntax into Lisp, format specifiers might be able to be included +in it. It would be a good thing if macros could generate format +specifiers the way they generate any other kind of code.An eminent Lisp hacker told me that his copy of CLTL falls open to +the section format. Mine too. This probably indicates room for +improvement. It may also mean that programs do a lot of I/O.8 EfficiencyA good language, as everyone knows, should generate fast code. But +in practice I don't think fast code comes primarily from things +you do in the design of the language. As Knuth pointed out long +ago, speed only matters in certain critical bottlenecks. And as +many programmers have observed since, one is very often mistaken +about where these bottlenecks are.So, in practice, the way to get fast code is to have a very good +profiler, rather than by, say, making the language strongly typed. +You don't need to know the type of every argument in every call in +the program. You do need to be able to declare the types of arguments +in the bottlenecks. And even more, you need to be able to find out +where the bottlenecks are.One complaint people have had with Lisp is that it's hard to tell +what's expensive. This might be true. It might also be inevitable, +if you want to have a very abstract language. And in any case I +think good profiling would go a long way toward fixing the problem: +you'd soon learn what was expensive.Part of the problem here is social. Language designers like to +write fast compilers. That's how they measure their skill. They +think of the profiler as an add-on, at best. But in practice a good +profiler may do more to improve the speed of actual programs written +in the language than a compiler that generates fast code. Here, +again, language designers are somewhat out of touch with their +users. They do a really good job of solving slightly the wrong +problem.It might be a good idea to have an active profiler — to push +performance data to the programmer instead of waiting for him to +come asking for it. For example, the editor could display bottlenecks +in red when the programmer edits the source code. Another approach +would be to somehow represent what's happening in running programs. +This would be an especially big win in server-based applications, +where you have lots of running programs to look at. An active +profiler could show graphically what's happening in memory as a +program's running, or even make sounds that tell what's happening.Sound is a good cue to problems. In one place I worked, we had a +big board of dials showing what was happening to our web servers. +The hands were moved by little servomotors that made a slight noise +when they turned. I couldn't see the board from my desk, but I +found that I could tell immediately, by the sound, when there was +a problem with a server.It might even be possible to write a profiler that would automatically +detect inefficient algorithms. I would not be surprised if certain +patterns of memory access turned out to be sure signs of bad +algorithms. If there were a little guy running around inside the +computer executing our programs, he would probably have as long +and plaintive a tale to tell about his job as a federal government +employee. I often have a feeling that I'm sending the processor on +a lot of wild goose chases, but I've never had a good way to look +at what it's doing.A number of Lisps now compile into byte code, which is then executed +by an interpreter. This is usually done to make the implementation +easier to port, but it could be a useful language feature. It might +be a good idea to make the byte code an official part of the +language, and to allow programmers to use inline byte code in +bottlenecks. Then such optimizations would be portable too.The nature of speed, as perceived by the end-user, may be changing. +With the rise of server-based applications, more and more programs +may turn out to be i/o-bound. It will be worth making i/o fast. +The language can help with straightforward measures like simple, +fast, formatted output functions, and also with deep structural +changes like caching and persistent objects.Users are interested in response time. But another kind of efficiency +will be increasingly important: the number of simultaneous users +you can support per processor. Many of the interesting applications +written in the near future will be server-based, and the number of +users per server is the critical question for anyone hosting such +applications. In the capital cost of a business offering a server-based +application, this is the divisor.For years, efficiency hasn't mattered much in most end-user +applications. Developers have been able to assume that each user +would have an increasingly powerful processor sitting on their +desk. And by Parkinson's Law, software has expanded to use the +resources available. That will change with server-based applications. +In that world, the hardware and software will be supplied together. +For companies that offer server-based applications, it will make +a very big difference to the bottom line how many users they can +support per server.In some applications, the processor will be the limiting factor, +and execution speed will be the most important thing to optimize. +But often memory will be the limit; the number of simultaneous +users will be determined by the amount of memory you need for each +user's data. The language can help here too. Good support for +threads will enable all the users to share a single heap. It may +also help to have persistent objects and/or language level support +for lazy loading.9 TimeThe last ingredient a popular language needs is time. No one wants +to write programs in a language that might go away, as so many +programming languages do. So most hackers will tend to wait until +a language has been around for a couple years before even considering +using it.Inventors of wonderful new things are often surprised to discover +this, but you need time to get any message through to people. A +friend of mine rarely does anything the first time someone asks +him. He knows that people sometimes ask for things that they turn +out not to want. To avoid wasting his time, he waits till the third +or fourth time he's asked to do something; by then, whoever's asking +him may be fairly annoyed, but at least they probably really do +want whatever they're asking for.Most people have learned to do a similar sort of filtering on new +things they hear about. They don't even start paying attention +until they've heard about something ten times. They're perfectly +justified: the majority of hot new whatevers do turn out to be a +waste of time, and eventually go away. By delaying learning VRML, +I avoided having to learn it at all.So anyone who invents something new has to expect to keep repeating +their message for years before people will start to get it. We +wrote what was, as far as I know, the first web-server based +application, and it took us years to get it through to people that +it didn't have to be downloaded. It wasn't that they were stupid. +They just had us tuned out.The good news is, simple repetition solves the problem. All you +have to do is keep telling your story, and eventually people will +start to hear. It's not when people notice you're there that they +pay attention; it's when they notice you're still there.It's just as well that it usually takes a while to gain momentum. +Most technologies evolve a good deal even after they're first +launched — programming languages especially. Nothing could be better, +for a new techology, than a few years of being used only by a small +number of early adopters. Early adopters are sophisticated and +demanding, and quickly flush out whatever flaws remain in your +technology. When you only have a few users you can be in close +contact with all of them. And early adopters are forgiving when +you improve your system, even if this causes some breakage.There are two ways new technology gets introduced: the organic +growth method, and the big bang method. The organic growth method +is exemplified by the classic seat-of-the-pants underfunded garage +startup. A couple guys, working in obscurity, develop some new +technology. They launch it with no marketing and initially have +only a few (fanatically devoted) users. They continue to improve +the technology, and meanwhile their user base grows by word of +mouth. Before they know it, they're big.The other approach, the big bang method, is exemplified by the +VC-backed, heavily marketed startup. They rush to develop a product, +launch it with great publicity, and immediately (they hope) have +a large user base.Generally, the garage guys envy the big bang guys. The big bang +guys are smooth and confident and respected by the VCs. They can +afford the best of everything, and the PR campaign surrounding the +launch has the side effect of making them celebrities. The organic +growth guys, sitting in their garage, feel poor and unloved. And +yet I think they are often mistaken to feel sorry for themselves. +Organic growth seems to yield better technology and richer founders +than the big bang method. If you look at the dominant technologies +today, you'll find that most of them grew organically.This pattern doesn't only apply to companies. You see it in sponsored +research too. Multics and Common Lisp were big-bang projects, and +Unix and MacLisp were organic growth projects.10 Redesign"The best writing is rewriting," wrote E. B. White. Every good +writer knows this, and it's true for software too. The most important +part of design is redesign. Programming languages, especially, +don't get redesigned enough.To write good software you must simultaneously keep two opposing +ideas in your head. You need the young hacker's naive faith in +his abilities, and at the same time the veteran's skepticism. You +have to be able to think +how hard can it be? with one half of +your brain while thinking +it will never work with the other.The trick is to realize that there's no real contradiction here. +You want to be optimistic and skeptical about two different things. +You have to be optimistic about the possibility of solving the +problem, but skeptical about the value of whatever solution you've +got so far.People who do good work often think that whatever they're working +on is no good. Others see what they've done and are full of wonder, +but the creator is full of worry. This pattern is no coincidence: +it is the worry that made the work good.If you can keep hope and worry balanced, they will drive a project +forward the same way your two legs drive a bicycle forward. In the +first phase of the two-cycle innovation engine, you work furiously +on some problem, inspired by your confidence that you'll be able +to solve it. In the second phase, you look at what you've done in +the cold light of morning, and see all its flaws very clearly. But +as long as your critical spirit doesn't outweigh your hope, you'll +be able to look at your admittedly incomplete system, and think, +how hard can it be to get the rest of the way?, thereby continuing +the cycle.It's tricky to keep the two forces balanced. In young hackers, +optimism predominates. They produce something, are convinced it's +great, and never improve it. In old hackers, skepticism predominates, +and they won't even dare to take on ambitious projects.Anything you can do to keep the redesign cycle going is good. Prose +can be rewritten over and over until you're happy with it. But +software, as a rule, doesn't get redesigned enough. Prose has +readers, but software has users. If a writer rewrites an essay, +people who read the old version are unlikely to complain that their +thoughts have been broken by some newly introduced incompatibility.Users are a double-edged sword. They can help you improve your +language, but they can also deter you from improving it. So choose +your users carefully, and be slow to grow their number. Having +users is like optimization: the wise course is to delay it. Also, +as a general rule, you can at any given time get away with changing +more than you think. Introducing change is like pulling off a +bandage: the pain is a memory almost as soon as you feel it.Everyone knows that it's not a good idea to have a language designed +by a committee. Committees yield bad design. But I think the worst +danger of committees is that they interfere with redesign. It is +so much work to introduce changes that no one wants to bother. +Whatever a committee decides tends to stay that way, even if most +of the members don't like it.Even a committee of two gets in the way of redesign. This happens +particularly in the interfaces between pieces of software written +by two different people. To change the interface both have to agree +to change it at once. And so interfaces tend not to change at all, +which is a problem because they tend to be one of the most ad hoc +parts of any system.One solution here might be to design systems so that interfaces +are horizontal instead of vertical — so that modules are always +vertically stacked strata of abstraction. Then the interface will +tend to be owned by one of them. The lower of two levels will either +be a language in which the upper is written, in which case the +lower level will own the interface, or it will be a slave, in which +case the interface can be dictated by the upper level.11 LispWhat all this implies is that there is hope for a new Lisp. There +is hope for any language that gives hackers what they want, including +Lisp. I think we may have made a mistake in thinking that hackers +are turned off by Lisp's strangeness. This comforting illusion may +have prevented us from seeing the real problem with Lisp, or at +least Common Lisp, which is that it sucks for doing what hackers +want to do. A hacker's language needs powerful libraries and +something to hack. Common Lisp has neither. A hacker's language is +terse and hackable. Common Lisp is not.The good news is, it's not Lisp that sucks, but Common Lisp. If we +can develop a new Lisp that is a real hacker's language, I think +hackers will use it. They will use whatever language does the job. +All we have to do is make sure this new Lisp does some important +job better than other languages.History offers some encouragement. Over time, successive new +programming languages have taken more and more features from Lisp. +There is no longer much left to copy before the language you've +made is Lisp. The latest hot language, Python, is a watered-down +Lisp with infix syntax and no macros. A new Lisp would be a natural +step in this progression.I sometimes think that it would be a good marketing trick to call +it an improved version of Python. That sounds hipper than Lisp. To +many people, Lisp is a slow AI language with a lot of parentheses. +Fritz Kunze's official biography carefully avoids mentioning the +L-word. But my guess is that we shouldn't be afraid to call the +new Lisp Lisp. Lisp still has a lot of latent respect among the +very best hackers — the ones who took 6.001 and understood it, for +example. And those are the users you need to win.In "How to Become a Hacker," Eric Raymond describes Lisp as something +like Latin or Greek — a language you should learn as an intellectual +exercise, even though you won't actually use it: + + Lisp is worth learning for the profound enlightenment experience + you will have when you finally get it; that experience will make + you a better programmer for the rest of your days, even if you + never actually use Lisp itself a lot. + +If I didn't know Lisp, reading this would set me asking questions. +A language that would make me a better programmer, if it means +anything at all, means a language that would be better for programming. +And that is in fact the implication of what Eric is saying.As long as that idea is still floating around, I think hackers will +be receptive enough to a new Lisp, even if it is called Lisp. But +this Lisp must be a hacker's language, like the classic Lisps of +the 1970s. It must be terse, simple, and hackable. And it must have +powerful libraries for doing what hackers want to do now.In the matter of libraries I think there is room to beat languages +like Perl and Python at their own game. A lot of the new applications +that will need to be written in the coming years will be +server-based +applications. There's no reason a new Lisp shouldn't have string +libraries as good as Perl, and if this new Lisp also had powerful +libraries for server-based applications, it could be very popular. +Real hackers won't turn up their noses at a new tool that will let +them solve hard problems with a few library calls. Remember, hackers +are lazy.It could be an even bigger win to have core language support for +server-based applications. For example, explicit support for programs +with multiple users, or data ownership at the level of type tags.Server-based applications also give us the answer to the question +of what this new Lisp will be used to hack. It would not hurt to +make Lisp better as a scripting language for Unix. (It would be +hard to make it worse.) But I think there are areas where existing +languages would be easier to beat. I think it might be better to +follow the model of Tcl, and supply the Lisp together with a complete +system for supporting server-based applications. Lisp is a natural +fit for server-based applications. Lexical closures provide a way +to get the effect of subroutines when the ui is just a series of +web pages. S-expressions map nicely onto html, and macros are good +at generating it. There need to be better tools for writing +server-based applications, and there needs to be a new Lisp, and +the two would work very well together.12 The Dream LanguageBy way of summary, let's try describing the hacker's dream language. +The dream language is +beautiful, clean, and terse. It has an +interactive toplevel that starts up fast. You can write programs +to solve common problems with very little code. Nearly all the +code in any program you write is code that's specific to your +application. Everything else has been done for you.The syntax of the language is brief to a fault. You never have to +type an unnecessary character, or even to use the shift key much.Using big abstractions you can write the first version of a program +very quickly. Later, when you want to optimize, there's a really +good profiler that tells you where to focus your attention. You +can make inner loops blindingly fast, even writing inline byte code +if you need to.There are lots of good examples to learn from, and the language is +intuitive enough that you can learn how to use it from examples in +a couple minutes. You don't need to look in the manual much. The +manual is thin, and has few warnings and qualifications.The language has a small core, and powerful, highly orthogonal +libraries that are as carefully designed as the core language. The +libraries all work well together; everything in the language fits +together like the parts in a fine camera. Nothing is deprecated, +or retained for compatibility. The source code of all the libraries +is readily available. It's easy to talk to the operating system +and to applications written in other languages.The language is built in layers. The higher-level abstractions are +built in a very transparent way out of lower-level abstractions, +which you can get hold of if you want.Nothing is hidden from you that doesn't absolutely have to be. The +language offers abstractions only as a way of saving you work, +rather than as a way of telling you what to do. In fact, the language +encourages you to be an equal participant in its design. You can +change everything about it, including even its syntax, and anything +you write has, as much as possible, the same status as what comes +predefined.Notes[1] Macros very close to the modern idea were proposed by Timothy +Hart in 1964, two years after Lisp 1.5 was released. What was +missing, initially, were ways to avoid variable capture and multiple +evaluation; Hart's examples are subject to both.[2] In When the Air Hits Your Brain, neurosurgeon Frank Vertosick +recounts a conversation in which his chief resident, Gary, talks +about the difference between surgeons and internists ("fleas"): + + Gary and I ordered a large pizza and found an open booth. The + chief lit a cigarette. "Look at those goddamn fleas, jabbering + about some disease they'll see once in their lifetimes. That's + the trouble with fleas, they only like the bizarre stuff. They + hate their bread and butter cases. That's the difference between + us and the fucking fleas. See, we love big juicy lumbar disc + herniations, but they hate hypertension...." + +It's hard to think of a lumbar disc herniation as juicy (except +literally). And yet I think I know what they mean. I've often had +a juicy bug to track down. Someone who's not a programmer would +find it hard to imagine that there could be pleasure in a bug. +Surely it's better if everything just works. 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%}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{{ '' + system_message }}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '[INST] ' + content + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ content + '' }}{% elif message['role'] == 'function' %}{{ '<>' + content + '' }}{% elif message['role'] == 'observation' %}{{ '[INST] <>' + content + ' [/INST]' }}{% endif %}{% endfor %}", + "clean_up_tokenization_spaces": false, + "eos_token": "", + "legacy": true, + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "padding_side": "right", + "sp_model_kwargs": {}, + "spaces_between_special_tokens": false, + "split_special_tokens": false, + "tokenizer_class": "LlamaTokenizer", + "unk_token": "", + "use_default_system_prompt": false +}