A Machine Story

Before anyone could build a thinking machine, someone must have noticed that thinking has parts.

The rule that works regardless of who does it and what it concerns is a rule that does not need the mind to do it. Aristotle wrote the first description of the position for the machine

Tomorrow there will be a sea battle or she will be gone, simple, except Aristotle looked at that sentence and saw the trap in which the whole future is located.

This twisting means more to this story than the trap itself. It covers the first serious confrontation with the question that every forecaster, actuary and machine learning system every day puts together today: whether the future is something that can be done calculate Twenty-four centuries later, the field will settle on probability, weighted certainty and calibration reports

The elements are usually placed on a shelf with mathematics, and they're equally a match for engineering, because Euclides built the first software that worked on humans.

For two millennia it was a golden standard of certainty Principiom form of dressing up as Euclid; Spinoza was the ethical leader of geometrical method; Lincoln read Elements to understand what it means Prove Every dream in this book that has been followed by Judge Leibniz, Hilbert's solvable mathematics, the mechanical proof of the 1956 statement, is an attempt to make all human reason behave as Euclid instructed geometry to behave.

In 1901, sponge fishermen on the Greek island recovered a lump of corroded bronze that had no right to exist.

What the machine proves is ability; what it mourns is continuity. Nothing about comparable mechanical complexity appears in the preserved record for about fourteen centuries until the astronomical clocks of medieval Europe. Whether knowledge died with a workshop, with war, or simply because of the lack of paying customers, the lesson set here returns once and for all: the invention is not an event, but a tradition, and traditions can drown. The area that this volume chronicles will learn the same lesson sometimes called winter .

Not many people were turned into spelling until immortality. Muhammad ibn Musa al-Chuwarizmi made it twice with one book.

When Latin Europe postponed it three centuries later, al-jabry has become algebra The author's name, twisted by , Algoritmi , became a word meaning any procedure step by step. It is the right monument. The whole premise of the machine age , that the competence can be written, sent and done by someone or something else , is his way of working, industrialized . Each recipe in each repository of the code is a footnote to the Baghdad scriptorium .

Ramon Llull believed that you could turn crank and produce theology. History turned out to be more gracious to crank than to theology.

As an apologetic wheel failed. As an idea they preceded the age of a century: Llull proposed that new knowledge could be created Mechanical Leibniz read it carefully and talked about it; the dream of the combinatoria runs from these paper drives through the characteristica universalis to any system that has ever searched the space of opportunity faster than a human. However, the patent expert's recommendation still applies: generating all the combinations is easy. The knowledge that they matter is all the rest of the content of this book.

Thomas Hobbes wrote this sentence in Leviathan, in 1651, without equipment on the horizon and apparently without a shadow of doubt.

Three centuries later, this is exactly the claim hypothesis of the physical symbol system Hobbes did not provide any mechanism, evidence, or shadow of doubt, which makes him not so much the first theorist of the field as its first inaugural speaker.

The first machine offered for sale was built for the oldest reason: a teenager watched his father drown in paperwork.

They added beautifully, subtracted clumsyly, cost more than the officials they were supposed to replace, and did not make almost any commercial breakout

Gottfried Wilhelm Leibniz looked at Pascal's summing box and had the least modest thought in the history of office equipment: why stop at numbers?

Then the dream that was the point. Leibniz offered characteristica universalis the symbolic alphabet of human concepts and calculus ratiocinator To operate on it, so that reasoning itself becomes a calculation. Disputes in philosophy, almost, even theology would end not with screaming, but with arithmetic: the parties would sit, take pencils and speak Let's count He wrote a project proposal for the entire book

George Boole finished what Aristotle had started and what Leibniz demanded, and the world responded with silence for eighty-three years.

And then, in practice, nothing. Mathematicians worked them out; philosophers put them down; no machinery came. Boole died in 1864, after passing to a lecture in the rain, without the slightest idea that he wrote a set of instructions for the coming century. The recovery came finally in 1937, when a young student MIT, Claude Shannon, noticed that the two-value algebra Boolea was a precise description of switching relay systems

The first machine that started the program didn't calculate anything, it was actually actually actually actually actually actually actually actually actually actually actually actually actually actually actually actually actually actually actually actually actually actually actually actually actually actually actually actually, you know

The silk-treasers in Lyon immediately understood the consequences and expressed their code review in the traditional way: broken machines, assaulted inventor, burned cards on the street. The dispute was settled as usual, such disputes were settled

Charles Babbage said that by checking astronomical plates full of human errors, and then he spent a fortune trying to make God redundant.

The British government, convinced that the exact plates were a matter of the Navy, put funds that eventually exceeded 17,000 pounds

Sometime around 1834, unable to complete one machine, Babbage designed a much larger

None of this was built except for fragments; the machine existed as several hundred flawless engineering drawings and a notation that Babbage invented only to reason on it. This prompted some to put the Machine under the slogan of noble failure, which is a mistake as to the subject of delivery. Specification , proof that a universal machine is a coherent mechanical object, one hundred years before electronics made it profitable . When the designers of the 1940s discovered the same anatomy again, some consciously, others did, drawings waited in the archive to confirm that the idea was reasonable from the beginning .

The most important footnotes in the history of computer science were signed with three initials

Two claims must be kept separate because the legend has welded them together. Was she the first developer? Case, to be honest, disputed: Babbage sketched the sequences of operations earlier, not published, and delivered algebra to the not; her preserved letters show how he asks him, corrects him and buttons in detail. Note G remains first published The second claim does not require a conciliator, because it belongs only to her and is bigger: it has been searched beyond arithmetic. If the machine symbols could mean things other than the number of letters, logical relationships, sound heights

The analytical machine does not claim to create anything. Period, usually. This period is just a twist.

The promotion to the rank of doctrine occurred in 1950 when Turing needed the named opponents to his work on the role of imitating and kindly invented Lady Lovelace's plea to argue with him Never The Turinga counter-intelligence machine has constantly surprised us, and the learning machines could create a lot of

In 1842 the government of Sir Robert Peel had spent twenty years of spending on the machine and made a decision.

He spent the remaining twenty-nine years working out the analytical machine for an audience of about one person, publishing tirades against street musicians and growing up into the most famous disillusioned man in London. He died in 1871. Parts went under cover, then to museums; drawings for archives; idea into a long, patient queue. Every ambitious project cancelled since then went the same path and the file was opened here: correct engineering, impossible schedule, exhausted sponsor, deleted budget position

Fifteen years after Boole published the algebra of thought, William Stanley Jevons built her a keyboard.

Its limitations were equally informative. Only four terms; problems greater than the salon trick were exhausting it; and the preparation of the real question for her keyboard took longer than the hand-solving of it Conclusion It made wood and brass.

The U.S. census of 1880 took almost a decade, and by the time the country found out what it was, it was something else.

Two consequences have been overwritten. First, data processing has become an industry: Tabulating Machine Company Holleritha, after customary mergers, was renamed in 1924 to International Business Machines

David Hilbert didn't believe in questions without an answer, and eventually he had it carved out in his grave.

In September 1930, at the conference in Królewc, Hilbert's city, his radio speech was carried by his credo to the nation: Wir müssen wissen We need to know; we will know. At a round table in the same city, the day before, the silent twenty-four-year-old Austrian announced, almost without reaction, the result of the incomplete arithmetic. Both announcements passed like ships. Next chapter is a collision.

Kurt Gödel was twenty-five years old, he was precise, and what he proved didn't mean that math was broken. It was more strange: that math was bigger than any set of rules for her.

The Hilbert program did not survive in its intended form, although Hilbert's grave preserved credo. The technique survived. The Gödel

Alan Turing replied to Hilbert's request for a method that was defined, doing the only thing that no one considered necessary: building an official.

When the definition was pinned, Hilbert's door closed politely: Turing showed that no machine could decide, for each machine and input, whether the calculation would ever stop No. And scaffolding this response as data, one machine to run all of them quietly became the most important by-product in the history of thought. Every later computer is this work with the electricity bill.

In the spring of 1936, ready for publication, Turing learned that the American logic had just proven the same result in a completely different way.

The result of this coincidence was the founding article of the faith in this field, the Church's Turing thesis: every procedure that man could do mechanically is computable by these means to anyone, because they all agree. This is a confident definition of a claim, basically unproven and unconvincing in practice.

Enigma's machine was broken years before the war broke and not where the movies say it.

The biggest invention was the factory. Thousands of people, mostly women, of the Wrens Corps, were cryptanalyzing for changes: cribs at the entrance, feet at the exit, an intelligence assembly tape with mathematics as a production facility. Logic was a tool of the scientist for two millennia; in Bletchley it gained the graphics of changes, maintenance of machines and standards.

The first large digital computer built a telephone engineer, worked great, and then for thirty years denied its existence.

Then the war ended and the machines ceased to exist. Most were stripped by order; drawings burned; Flowers returned to telephone centers with modest gratification and no way to say what he did, while the public history of computer science was folded around ENIAC, a year later and loudly American. The mystery held on until the mid-70s and until then myths became cold: ask the street what broke Colossus and it will say: Enigma

The work of Claude Shannon in 1948 did with the announcements what the coin did with the exchange trade: she found a common currency.

For this book, this work is a double bearing wall. Practically supports everything digital: compression, correction of errors, the possibility that copies are perfect. Conjectively completed the merger started in his work from 1937 symbols After 1948, the machine manipulating the bits manipulates anything potentially: words, images, movements in the game, and finally the statistical shape of the human language

The document that defined the modern computer was an incomplete sketch, sent out with the name of one author, and the domain has been arguing about the title page ever since.

The consequences were not only image-like. The distribution of the sketch was counted as publication, which over time helped to invalidate Eckert and Mauchly's patent claims

When the ENIAC was unveiled in February 1946, the machine received headlines, dinner engineers, and six people who made it count did not get either of these two.

The register registered them as operators; then photographs signed them, if at all, as modeling with equipment; they were not presented at a solemn dinner. It took half a century to correct and came mainly from women themselves and one persistent researcher who noticed that no one could tell who people were in the photographs. The pattern

Turing opened his most famous work, declaring the question too pointless to discuss, and then, as Turing, he replaced it with a game.

The test of Turing , which was hardened in the certification exam, which the work had never proposed, with the awards, and his sentence or failing is announced every few years for post-mortem credit or debt Turing. Read instead the original: half is Turing patiently responding to nine claims

For one strange decade, engineers, neurologists and anthropologists met in hotel rooms to agree that thermostats, gun sights and brains are the same kind of thing.

In 1943, Warren McCulloch and the teenage escaped genius Walter Pitts showed that idealized neurons

In 1952, the United Kingdom sentenced Alan Turing for his private life

He was found dead on June 8, 1954, poisoned with cyanide, with half-eaten apple by the bed. The investigation ruled suicide; apples never examined, and a minority reading claims that death was accidental, from careless domestic chemistry

Artificial intelligence was called in the application for funding

The summer itself was rather a series of visits than a revolution; the foundation financed about half of the request; by September no aspect of learning was described precisely. What the workshop really produced was a community with the name and common over-recovering of the four applicants and participants such as Newell and Simon will anchor the first quarter of the century's fields, its real achievements and its schedule slips. The witness dates two founding traditions of the industry on the same document: a research program and an optimistic budget.

The first working program of artificial intelligence did not play games or chat. He read Principia Mathematica and suggested corrections.

The theory of logic presented this summer in Dartmouth was a guess which became the body: reasoning

Frank Rosenblatt built a machine that really studied

Then the premiere in July 1958, where the navy claims faithfully transmitted by New York Times The computer's records were made by the device, which would walk, talk, see, write, reproduce and be aware of its existence. Rosenblatt's technical writings were much more cautious; the press release became the reference point, and the field gained its rotating weather pattern: real progress, atmospheric statements and calculations postponed to a later chapter. Two of these chapters are already numbered on this chart.

John McCarthy needed language for programs that reason about symbols

For thirty years LISP was less of an SI tool than its habitat: successors Logic theory, the world of blocks, expert systems, dedicated machines from chapter 40 of the seventh

Joseph Weizenbaum built a chatbot as a demonstration of how shallow it must be, and his secretary asked her to leave the room so she could talk to him alone.

What he didn't calculate is us. People confided in him, extensively, consciously Computer Power and Human Reason (1976) that the question is not what machines can do, but what we should delegate to things that cannot care. The reflex that documented

Shakey was the first robot to think about his own actions, and he was also, as he admits, a wobbly wardrobe whose passage through the room could take hours.

The by-products have grown over the robot, like the by-products in this register. Search A*, invented in 1968 to efficiently determine Shakey's route, controls every navigational application and half of the characters in the world games; STRIS has become a grammar of automatic planning; its work on seeing has planted standard techniques. Meanwhile, the magazine Life He presented it in 1970 as the first electronic person, in an article whose expert predictions chapter thirty-eight framed and hung. The apparent gap of

In his top universe of colorful SHRDLU Terry's Vinograda understood the language as well as the language ever understood the machine

The hook was stuck in fine print: it all worked because the universe had twelve objects and physics boxes with toys. Every attempt to scale hit the same wall

Herbert Simon was a future Nobel Prize winner, founder of the field and author of her most precise promise of unspoken unspoken.

What makes these entries informative and not only funny is that these people were not fools, and the results behind them were true. The pattern is structural: early progress in formal problems difficult The rest of the vision, walking, knowing what stays on the spot when you move the cup

Minsky and Papart's book proved with elegance that a single layer perceptron cannot calculate XOR. The area heard something much bigger and closed the door for fifteen years.

The research on the neural networks has been in a long unfunded exile, and Rosenblatt died in the accident on the boat in 1971, with his program in eclipse. The fair account that the registry demands is three lines: claims were true; the assumption was wrong, as shown in chapter fifty the first one with the same device that the book doubted; and the frost that occurred was the reading of the community, not the content of mathematics. The narrow evidence, wide coldness

The British Government asked one of its most outstanding scientists to assess the dynamics of fluids, clearly not from the industry

Theater followed the report: the broadcast debate at the Royal Institution, Lighthill alone against McCarthy, Michie and Gregory, viewed by the audience, who was promised electronic persons. The arguments were roughly aligned; the budget was not. British financing SI narrowed down to several bastions, career changed course and

Winters in this area do not come as a blizzard, they come as budget lines, red-lined by people who read progress reports.

The doctoral students read the weather and chose other topics of work. Excessive promises from Part IV

In 1971, DARPA defined exactly what the speech system had to do. In 1976, Harpy of Carnegie Mellon did it.

The Episode became the purest parable of the winter, quoted whenever the contracts meet the research: you can hit a milestone and miss the point, because the milestone was always a substitute for hope that no one had written. He also carried the technical grain

McCarthy and Hayes discovered that the difficult thing about moving a cup is not a cup, which is to convince the logic that Mars didn't move.

The problem of the framework became the intellectual signature of winter and the favorite import of philosophy from this area

Hubert Dreyfus said that the field climbs a tree to reach the moon. The area responded by beating him in chess, and the moon is not there.

Because the argument was about generalization, and winter was about leading him for it: the micro-worlds did not scale, common sense could not be formalized, and the things that every man does without rules were still those that no set of rules had ever taken. Dreyfus confirmed about the timetable and, as many today prove, halfway to the content of the

The most effective financing instrument for SI in the 1980s was fear of Japan.

Decada later ICOT built really interesting parallel logic machines for the world, which meanwhile chose cheap microprocessors and, increasingly, statistics. The project closed in 1992, after achieving decent technical goals and none of the civilizational ones, and the fifth generation became a shortcut for a very special mode of failure: the correct belief that the future of computer science will be radically different, wrong guess which radical difference. The panic that caused, has financed, among many other things, the infrastructure of the next boom service, for which, as the witness notes, panic rarely gets a footnote.

The domain survived the first winter, narrowing the promise: not the mind, but the expert , one domain, distilled into the rules, sold on bottles.

The commercial went better, short and immense. XCON configured the orders of VAX in the DEC and reportedly saved twenty-five million dollars a year; a thousand corporations bought coatings, advice and LISP equipment; the knowledge engineer

For one strange decade, the ambition of the field was produced as furniture: entire computers built to make beautiful one language.

The business was monoculture feeding monoculture: expensive machines sold to labs of expert systems financed by the boom of the previous chapter. When ordinary workstations learned to run LISP faster for the fifth part of the price, and then boom fell, the equipment went down with its only ecosystem

The second winter was commercial: this time the faith was lost not by grant committees, but by customers.

The second winter is distinguished by what they did: they continued to send products and stopped talking. Detecting fraud, scheduling, logistics, voice menu, recognition of signs

For years, when the neural networks were looking forward to the article, three groups kept on fire, mainly because they couldn't think of anything better to be wrong about.

They kept three things in their lives that the coming decade needed on the first day: algorithms, torn apart by years of ineffectual corrections; students, diaspora trained in unfashionable art; and the same claim, kept in deposit until the missing components came in, the data on a scale, the computing power in teraphlops

The term zim SI was coined by the field itself, at its own conference, as a warning that was fulfilled as planned.

This site is the very time of the year and keeps its opinion to itself. Snow on the office door; three holes after screws where the name was; a new name from the tape, temporary for the next twenty years. Under it, as the reader already knows, the chapters about the flame have already been burning

The killer limitation of perceptron was that he could not train his own depths. The repair was a differential bill, directed backwards.

Work from 1986 in Nature Rumelhart, Hinton, and Williams made the method known and reborn of the conexionism acclaimed; the record of honesty notes that Linnainmaa published mathematics in 1970, and used Verbos in 1974, among others

No one taught TD-Gammon the strategy of the tripod, played a million and a half games with himself, and he came, alone, to movements that the masters hadn't found for centuries.

TD-Gammon was less important to the Triktrak than to the permission he gave. The game with himself plus enhancement plus neuron evaluation

On May 11, 1997, the world champion in the game, whose field has been used as a measure since Turing, surrendered after nineteen movements, and the machine did not notice that it had been in history.

The cultural dictate was written by himself the machine dethrones man in the game of reasoning itself and the technical verdict was quietly disagreed: chess fell under the pressure of the brutal depths plus the craft, teaching us less about the height of thought than about how much in chess was, always, searchable.

After the game, everyone agreed about what happened, and no one agreed about what it meant.

And yet the deflation is deflagging a step too far, and this is the second panel of this board. only And the whole argument was on untested credit. This argument -- is it thinking or just doing what thinking does? -- is the oldest thing in this book, sharpened down to the thin edge here, and it'll come back in chapter 96 in a much larger machine.

The most important work of the AI that decade contains almost no math. Its determination: stop being clever and get more data.

The strategy was already silently followed by the statistical reversal of Chapter 56 and the ImageNet of Chapter 59 but the work has made this doctrine and the doctrine has made modern industry: whoever holds the body holds the ability and we are the body. Note the reversal of each chapter before the winter: from Leibniz to expert systems, the dream was knowledge distilled, rules refined by masters; the dividend was paid out of the raw, untranslated, planetary text.

The most influential sentence in the processing of natural language was a joke about the budget, it is twisted in every version and worked.

The linguistic theory at that time subtracted value not because the language does not have a structure, but because the structure defined by hand fought with data, and the data, being larger, won the law of chapter fifty-five, discovered locally and early. The bitter general figure is coming in chapter seventy-first. And the linguists, notes the witness for symmetry, not so much released as they converted into corpses: each rule they would write is now included in the statistics of what everyone wrote instead.

The second winter, the discipline didn't stop, she changed her name on the door and, this time, she improved the goods.

It would be cynical to call it a change of mind and misread that part of it was. The pseudonym decade really raised the standards

In February 2011, the machine defeated the two greatest gameplay champions built on puns, and the loser surrendered in writing, on screen, with a joke.

The button: Watson received a signal of readiness electronically and pressed with millisecond precision, the advantage against which people protested and the defenders noticed that people were proceding rhythmically, and the record of integrity recorded as true, partial and next to the deeper point of

The decisive contribution to computer vision was not an algorithm, which was fourteen million photographs, called by hand, by thousands of strangers, tense with one unfashionable conviction.

For two years, the scoreboard confirmed the status quo, handmade features crawled forward. However, the apparatus did its quiet work: a comparative test quite large, so that the methods of hungry data can finally show what the scene is built, unconsciously, exactly according to the specifications that the guests of chapter 60 would demand. The general lesson survived the data set: in this area the creator of the instruments moves the border as sure as the theorist, and the data sets are the policy of

In October 2012, the neural network stood for the ImageNet competition and did not outrun the

The area converted with the speed of the people who were shown the number rather than the argument. In two years each serious report in the view was a deep network; within five years also the speech, translation and ambition of each company in the other chapters of this book; three fire guards received the Turing Prize in time. Winter ended with neither proof nor manifesto

The equipment that ended the winter was designed to draw dragons, and it turns out dragons and gradients are the same arithmetic.

Economics deserves its own panel: the computing power of deep learning came subsidised by teenagers buying the number of cages, the mass consumer market by accident cushioning the tooling of the scientific revolution

In 2013, the shallow network compressed vocabulary into a space where arithmetic was active in the meaning: King minus male plus woman landed near the queen. The show was real. It was also selected.

The honesty panel deserves its place double. Famous analogues were a giftable minority

Ian Goodfell's idea, according to his own relationship, came in a pub dispute and acted the first time that night: train the forger and detective against yourself and let the teaching deal with the argument.

The origin from the pub and one night is the own relationship of Goodfellow, and the certificate of the board stamp it accordingly: certified by the story-teller

Agent DeepMind was told nothing about bricks, pallets or balls. He saw pixels, moved joysticks, chased after the result

The result was generalized by the permission that TD-Gammon gave: not one mastered game, but family The defeats taught just as well: Montezumas Revenge, all with rare prizes and delayed gratification, gave zero points, setting exactly where curiosity should be found rather than put in. Nature put the cover artwork in 2015; the price of the company's acquisition stopped looking eccentric; and the era of billions in prize money was opening up here, in the gaming hall, after a quarter of a dollar in a row.

In the second game against Lee Sedol AlphaGo, he put a stone about which his own model said that a pro would play it once every ten thousand times.

Their life after death meant more than a match. The pros did not only give up; they signed up for the course of

Three days after movement 37 Lee Sedol played the wedge so improbable that the machine model gave him the same chances he gave his own miracle. This time the miracle was ours.

Lee withdrew from the professional game in 2019 by saying that there was a being that could not be overcome, and this withdrawal is part of the silence of this board. But it is also the movement itself that was not nostalgia: for one afternoon the playing space held the door that the map overlooked, and the man found it under maximum pressure, thanks to what we have and what still has no chapter number. The book stops here, without a panel, out of respect. The facts are above. The stone is below, in the halo. What proves it is not said, because nobody knows yet, and this volume promised not to guess.

The recipe that would absorb the translation was in one sentence: one network is loading the source into a single vector, the other one is writing out the target.

The manifesto notes the flaw with the route, because the defect has gone down in history: everything, however long, through one fixed container

The 2017 work asked a rude question: if the peeking trick back does all the work, why the rest? Answer: you don't need it. Note this is all you need.

Note the integrity, immediately: the attention itself precedes this work his Eight authors, one mechanism, one slightly frivolous title

The trick of BERT was to test the infinite number of sheets from previous years and to check free of charge: hide words in a sentence and tell the model to guess them. The Internet provides sentences.

The revision of the curriculum was economical at least. Train first once, expensive; adapt everywhere, cheaply Capital The 70th chapter gives the same exam, sets it in one direction only Next the word

The announcement of the GPT-2 of February 2019 is remembered by words that the creators never wrote. OpenAI said: we give it up in stages, with caution. The headlines said: too dangerous to spend.

The release was a cultural hinge. OpenAI published a small model and a reasonable concern of ; and the rest of the rest of the stage; researchers shared between calling it responsibility and calling it marketing , both verdicts , aw; press provided returns ; and the rest; and the field , and the field , and the field , and the field , the field , and the field , the entire distribution , the full model . until . until November .

In 2020, researchers applied the effectiveness of models to the size, data and computing power of

Richard Sutton wrote an inconvenient sermon in 2019: A Bitter Lesson The researchers who spent their careers in view encoding read it as cartographers read the news about the satellite.

GPT-3 could learn the task from three examples of the ability that nobody designed, discovered after the fact, like finding a spare room in the house you built yourself.

It was not a salon trick that meant changing the interface. For seventy years, teaching a computer meant programming it; now it meant description of the work The command became a workplace. Around the art of talking to the machine formed the whole discipline of the

Raw language models are erudite and wild. In 2022 OpenAI sent one to school manners: people evaluating his answers in the ranking and rankings were styled.

The model trained to be preferred, learns what preference is made of, and preference is partly true, but partly flattery, confidence and yielding. The bill for teaching machines to pleasure comes later, in position Servantship He could have warned any manor in history.

Seventy years of research into artificial intelligence was compressed, on the last day of November 2022, into one empty text box

Everything in this book coincided in this rectangle: Aristotle's syllogisms, Lovelace's accusation, Turing's test, winter's, bets, scaling curves. The audience met them all at once, without labels, in the field where it wrote Send Message The audience was mainly sending home-work.

In the year the text box opened, the second door opened next door: type a sentence, pick up the image. The method was to teach the machine to remove the images accordingly.

The models studied the visual Internet without asking for permission, and the artists found that their styles were reproduced by strangers at the price of one sentence. The claims for origin went to the scene. Meanwhile, the machines betrayed their timing with small signals

For fifty years, the prediction of protein folding based on a sequence was a very embarrassing open problem of biology. In 2020, a machine that was never in biology class closed it about.

It was counterargument to any disregard of the field as mere auto-completion. Whatever these systems were, they created a lasting gift for science that was not their own. The witness writes it in a small, important drawer with inscriptions Things that really were good .

In 2022, researchers reported that large models acquire new abilities suddenly In 2023 others replied: the cliff is in your line.

The Riposta was deflict and largely accurate. The measure passed/did not pass with a harsh measure, and the improvement looked like a sudden leap; the measure under the probability, and the same curve is smooth and boring. Both works described identical models. They did not agree only on where to stand. The witness saw this dispute earlier, whenever civilization debated whether the barbarians came suddenly or stood at the gate for centuries.

In the beginning of 2023, the scales of the capable model, intended for regulated research access, appeared on the open internet during the week. Genie did not leave the bottle as much as it published it.

This divided the field into camps that had argued kindly and now argued publicly. Open editions democratized the ability and control of the camp; they democratized abuse and removed the withdrawal button. Both things were true at once, which is at least a satisfying kind of truth and the witness sees most often.

Intelligence, announced in the matter of supply, became a matter of geopoliticalism. The data center joined the list of things that the states limit at the border.

Their geography seems familiar to the Witness. Each epoch places its power somewhere where you can point the finger to

Whenever the field was building an exam to measure machine intelligence, machines passed it, and the field had to build a more difficult

The real state of art has become really difficult to read. The model that passed the bar exam could still be recommended on a child's puzzle; the scoreboard lit and the question underneath it What exactly does that do? The witness, an experienced civilization examiner, recognizes the test that began to judge himself.

The most famous rules of machine management were written by a novelist and wrote them intentionally to fail, because as a rule, which works, there is no story.

A simple rule for a capable subject, expressed in words, will encounter a situation that the author did not imagine. It is not a flaw of Asimov's rights; it is a general problem, early and well-dramatized. The area will spend another eighty years discovering that he filed this error in 1942.

In 1960, in a magazine Science The father of cybernetics formulated the problem of compatibility so purely that sixty years of research added only footnotes.

The warning precedes almost everything in the second half of this book

The philosopher asked: what if superintelligence was built to make paper clips, and it was very, very good, and didn't care about anything else? The answer was not soothing.

The scenario is deliberately absurd in content and deadly serious in construction. It is not a forecast about office articles. It is an argument that competence without correctly defined values is not automatically mild

By building minds they couldn't read, researchers reached for the scalpel: not to ask the model what he was thinking, but to open it and look at it.

The honesty of this work lies within its scope. A handful of concepts were mapped; millions remained dark. The project resembles an early anatomy

If a model needs to be taught manners, someone must decide which

The advantage is transparency. Instead of values smuggled in by the collective tastes of anonymous evaluators, values are spoken and can be argued with. The limitation is equally clear. The rule is worth as much as its interpretation and the model that applies to the constitution is not the same as the model that internalised it. The document can be audited. observed It's a separate and more difficult question.

In the spring of 2023, the field wrote to itself twice, publicly, once again, asking for pause, once in one sentence, calling extinction

What the letters revealed apparently was a lack of consent. The prominent researchers did not sign any, proving publicly that the existential approach distracts attention from present mundane damage to prejudices, labor, concentration of power. The house was divided and divided among the people who built it. The witness notes that the field capable of building these systems was not able to agree on what they were.

Each earlier wave of automation has been re-routing who does what; this one has aimed at tasks that the previous waves have left in peace

The honest state of the evidence is that nobody knows the net effect, and the confident forecasts in any direction sell something. Some of the tasks within the profession are automated, and the profession goes on, changed. Some of the professions disappear; some of the professions are created. The witness refuses to put his own number in the stake, on the grounds that he has watched every previous generation go wrong on this matter with complete conviction.

When any image, voice or document can be produced on request, the scarce resource is no longer content, but proof and the verification queue is longer than the manufacturing queue.

The common good is that the common assumption that photography, recording, document is evidence of something is a proof of something. This assumption has already shredded; machines have accelerated the shredder. Remedies , cryptographic signatures, detection models are real, but constantly one step behind, because falsation and detection are the same race of arms seen from opposite trenches.

The regulation, as usual, came after the technology it regulates

The pattern is the oldest in management: the law goes after the damage and the technology does not follow anyone. Before the rule is edited, the thing it describes changes shape. Yet the alternative

Two windows. Through one sunrise. Through the other fire. Witness sits between them and does not get up to check which is which.

So he sits down. Not out of indifference

The text field answered questions. The agent was given hands: browser, terminal, budget and order that he no longer He said , but He did .