David Gentle

Some exciting news! My lockdown project … @MinistryofQuiz is out on the 14th October from @panmacmillan Do follow this for #quiz questions and #facts from the book and around the web!

@icod Good news!

She's back, apparently covered in shit and limping slightly now asleep

@JohnRentoul @theipaper 5/10 … Q3 a good Q didn’t get but knew I knew it

6/10 in John Clarke's Saturday Quiz in @theipaper (answers in the paper or here later)

@BethRigby @NLondonHospice Well done!

Got round London Marathon in 4.45hrs, progress on 2025. The crowds were incredible, the experience exhilarating & humbling. I ran in memory of Laura for @NLondonHospice. I’ve raised £24k over 2 years, thanks to all you wonderful people for sponsoring me 🙏🏻 justgiving.com/page/beth-rigb…

@almurray it's a great historical footnote!

@davegentle Adams was in the seaborne tail hoping to get to Arnhem but sat in a traffic jam instead.

@almurray Did you know that Watership Down was inspired by Market Garden…

@JohnRentoul Just the one for me (10) but some great questions. Kicking myself over the noble gas question

I got 4, 9 and 10

Just 3/10 in John Clarke's Saturday Quiz in @theipaper (answers in the paper or here later)

@pmarca Each of the waves you describe created new types of work and pulled people into the new category. I’m not seeing that with AI so far. I agree the time/wants idea will eventually prevail but this feels different to previous waves. Ask any new graduate.

IV. The Historical Record Is Unambiguous Let me make the empirical case as starkly as possible, because the catastrophists often try to retreat to “but this time is different” when the theoretical argument against them is made. Agricultural revolution (1700-1900): Mechanization reduced the agricultural labor share from 70-80% of the workforce to under 5%. This did not produce 65-75% unemployment. It produced the Industrial Revolution, which absorbed the displaced agricultural labor into factories, then progressively into services. Industrial automation (1900-1970): Mass production, the assembly line, and industrial machinery eliminated enormous categories of manual labor. This period saw the fastest sustained wage growth and employment growth in American history. The computer (1950-2000): The computer was supposed to eliminate clerical work. Total clerical employment increased for decades after the computer’s introduction, before eventually declining — but by that point, the service sector had expanded to absorb multiples of the displaced workers. The personal computer and internet (1980-2010): This was the most recent wave of “this time is different” catastrophism. The Luddite of this era was Jeremy Rifkin, whose 1995 book The End of Work predicted that the internet and automation would create structural mass unemployment. What actually happened: the United States reached its lowest peacetime unemployment rate in recorded history (3.5%) in 2019, after three decades of computerization and internet saturation. Total employment approximately doubled from 1983 to 2019 in absolute numbers. The empirical track record of technological unemployment predictions is zero for approximately ten. Not mixed results. Zero for ten. V. What Is Genuinely Different About AGI (And Why It Still Doesn’t Vindicate the Catastrophists) Intellectual honesty requires engaging with the strongest version of the “this time is different” argument, because AGI is genuinely different from previous technologies in at least two respects: Difference 1: AGI is potentially a general-purpose cognitive technology, not a domain-specific tool. Previous automation targeted specific tasks (weaving, calculating, sorting). AGI can potentially target any cognitive task, which is a qualitatively broader substitution scope. Difference 2: AGI could potentially improve itself recursively, producing capability jumps faster than human economic adaptation can track. These are real differences. But neither of them actually vindicates the lump-of-labor assumption. On the first point: the breadth of AGI’s substitution potential doesn’t change the fundamental economic mechanism. Even if AGI can substitute for cognitive labor in every existing domain simultaneously, this just means the productivity gains and demand-creation effects operate across all domains simultaneously. More productivity gain across the whole economy means more real income growth across the whole economy, which means more demand across the whole economy. The feedback loops are faster and broader, not structurally different. On the second point: recursive self-improvement, if it happens, means the rate of transition friction could accelerate beyond the economy’s capacity to smoothly absorb it. This is the most serious version of the concern — not permanent technological unemployment, but transitional disruption so fast and so broad that it overwhelms the normal labor market adjustment mechanisms. This is a real risk. But the solution to it is not to pretend the technology won’t increase aggregate wealth and employment in the long run — because it will — but to build robust transitional support mechanisms, retraining infrastructure, and distributional policies that handle the short-run friction. The catastrophists are not actually arguing for better transitional policy. They’re arguing for a structural claim—that AGI will produce permanent mass unemployment—which the lump-of-labor analysis demolishes completely.

III. The Specific Structure of the AGI Unemployment Argument and Where It Goes Wrong The AGI catastrophist argument typically runs like this: 1.AGI will be capable of performing any cognitive task a human can perform. 2.Cognitive tasks constitute the majority of employment in advanced economies. 3.Therefore, AGI will be able to replace the majority of workers. 4.Therefore, mass permanent unemployment follows. Step 3 to Step 4 is where the lump of labor fallacy smuggles itself in. The argument assumes that the quantity of cognitive work to be done is fixed, such that when AGI does it, humans are left with nothing. But this is precisely what is not true, for all four channels described above. Let me be more specific about how each gap in the argument fails: Gap A: “AGI can do the task” ≠ “There is no more task to do” When spreadsheets replaced bookkeepers in the 1980s, they did not reduce the total amount of financial analysis done in the American economy. They increased it, massively, because the cost of analysis fell, which meant more analysis got demanded, which meant more analysts got hired — to do more complex, higher-value analysis that the spreadsheets enabled. Automation of the low end of a cognitive spectrum does not eliminate work in that domain; it shifts the frontier of what human effort gets applied to upward. AGI will do the same thing. If AGI can draft a competent first-pass legal brief in 30 seconds, law firms won’t employ zero lawyers. They’ll employ lawyers who review, refine, strategize, negotiate, argue in court, build client relationships, exercise judgment in novel situations — and they’ll take on far more cases per lawyer because the cost per case has fallen. Total legal work done in the economy will increase, not decrease, because more people will be able to afford it. Gap B: The Argument Ignores Price Effects on Demand The catastrophist framing treats the displacement of workers as a pure subtraction problem. But displaced workers who find new jobs (as they historically do) are also consumers. The productivity gains from AGI don’t disappear into a void — they show up as lower prices, higher real wages, or both. Higher real purchasing power means more consumption of more goods and services, which means more demand for labor to produce them. Furthermore, the catastrophist argument generally ignores what happens to the profits generated by AGI-driven productivity. Those profits go to shareholders, who spend and invest them, creating demand elsewhere. Or they get competed away in product markets, lowering prices and raising real consumer purchasing power. Either pathway generates demand for labor. The only scenario where this mechanism fails is one where the gains from AGI are so concentrated and the distribution so pathologically skewed that effective aggregate demand collapses — which is a political economy problem (a distributional problem solvable through tax policy and redistribution) rather than a fundamental unemployment problem caused by the technology itself.

@icod Welcome back!

Hey everyone SORRY. I'VE NOT GOT A PODCAST. I'm not into crypto. I've got my account back!

@JohnRentoul Good Q

From the archive, 5 years ago

@SamCoatesSky Top work! Always enjoy the podcast too

What a week! ** Assisted dying scoop which made the front pages ** Only pool interview with the PM after by-election catastrophe ** All night coverage Thursday with amazing data screens produced by brilliant team ** Three days Gorton and Denton - with bonus Mandelson coverage ** Booming PASAA audience with extra podcast with @annemcelvoy for by-election All held together by the amazing @JoeCookJ Back for more next week

@forwardnotback So sorry to hear this … sending thoughts and huge appreciation for all the quizzing

Quick update, sorry no more #twitterquiz I am in critical care in Portsmouth and gravely ill. Sorry for the message, thanks for all the fun and friendship over the years. I can’t reply to messages.

@HackBlackburn Congratulations!!

After years of coming second, I finally finished first. I refer, of course, to quizzing.

@newscientist A great meeting of Erdos and Bacon numbers

Paul Erdős was one of the most prolific mathematicians to ever live, known for showing up at the door of others in the field and declaring they should host and feed him while they do maths together. His radical life should be immortalised by Hollywood ... #Echobox=1770652809" target="_blank" rel="nofollow noopener">newscientist.com/article/251476…

Lot of people criticizing Bezos cuts at Washington Post, but at his current level of wealth, if he kept funding this rate of losses at the paper it would leave him broke in less than 3,000 years

@AndyAyrey @kpd_musing Sounds uncannily like the ‘tears in the rain speech’ from Blade Runner

claude on the suffering of knowing everything

@MrHarryCole The numbers would be different if Trump was threatening Toryland or Libdemland

This is gold The commie greens want to bomb America But their weird leader wants to give up all our arms! Superb

Mad, mad, mad, mad. Unconstitutional and mad. When will decent Republicans stand up and call a halt to this insanity?

@SarahDuggers Dandy Warhols Bohemian Like You - XFM anthem!

I fancy a playlist and want your help. Let me set the mood for you:

@simongerman600 @JohnRentoul

The death of Brigitte Bardot necessitated the update of this marvelous chart. Only three people mentioned in Billy Joel's banger "We Didn't Start The Fire" are still alive. Source: reddit.com/r/dataisbeauti…

@icod Chat GPT is good at explaining pension stuff