Last week's spectacular #OpenAI soap-opera hijacked the attention of millions of normal, productive people and nonsensually crammed them full of the fine details of the debate between #EffectiveAltruism (#doomers) and #EffectiveAccelerationism (AKA e/acc), a genuinely absurd debate that was allegedly at the center of the drama.

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If you'd like an essay-formatted version of this thread to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2023/11/27/10-types-of-people/#taking-up-a-lot-of-space

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Pluralistic: The real AI fight (27 Nov 2023) – Pluralistic: Daily links from Cory Doctorow

Very broadly speaking: the Effective Altruists are doomers, who believe that #LargeLanguageModels (AKA "spicy autocomplete") will someday become so advanced that it could wake up and annihilate or enslave the human race. To prevent this, we need to employ "#AISafety" - measures that will turn superintelligence into a servant or a partner, nor an adversary.

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Contrast this with the Effective Accelerationists, who also believe that #LLMs will someday become superintelligences with the potential to annihilate or enslave humanity - but they nevertheless advocate for *faster* AI development, with *fewer* "safety" measures, in order to produce an "upward spiral" in the "techno-capital machine."

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Once-and-future OpenAI CEO Altman is said to be an accelerationist who was forced out of the company by the Altruists, who were subsequently bested, ousted, and replaced by Larry fucking Summers. This, we're told, is the ideological battle over #AI: should cautiously progress our LLMs into superintelligences with safety in mind, or go full speed ahead and trust to market forces to tame and harness the superintelligences to come?

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This "AI debate" is pretty stupid, proceeding as it does from the foregone conclusion that adding compute power and data to the next-word-predictor program will eventually create a conscious being, which will then inevitably become a superbeing. This is a proposition akin to the idea that if we keep breeding faster and faster horses, we'll get a locomotive:

https://locusmag.com/2020/07/cory-doctorow-full-employment/

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Cory Doctorow: Full Employment

I am an AI skeptic. I am baffled by anyone who isn’t. I don’t see any path from continuous improvements to the (admittedly impressive) ”machine learning” field that leads to…

Locus Online

As @molly0xfff writes, this isn't much of a debate. The "two sides" of this debate are as similar as Tweedledee and Tweedledum. Yes, they're arrayed against each other in battle, so furious with each other that they're tearing their hair out. But for people who don't take any of this mystical nonsense about spontaneous consciousness arising from applied statistics seriously, these two sides are nearly indistinguishable, sharing as they do this extremely weird belief.

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The fact that they've split into warring factions on its particulars is less important than their unified belief in the certain coming of the paperclip-maximizing apocalypse:

https://newsletter.mollywhite.net/p/effective-obfuscation

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Effective obfuscation

Silicon Valley's "effective altruism" and "effective accelerationism" only give a thin philosophical veneer to the industry's same old impulses.

Citation Needed

White points out that there's another, much more distinct side in this AI debate - as different and distant from Dee and Dum as a Beamish Boy and a Jabberwork. This is the side of #AIEthics - the side that worries about "today’s issues of ghost labor, algorithmic bias, and erosion of the rights of artists and others."

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As White says, shifting the debate to existential risk of a future, potential superintelligence "is incredibly convenient for the powerful individuals and companies who stand to profit from AI."

After all, both sides plan to make money selling AI tools to corporations, whose track record in deploying algorithmic "decision support" and other AI automation is pretty poor - like the claims-evaluation engine that #Cigna uses to deny insurance claims:

https://www.propublica.org/article/cigna-pxdx-medical-health-insurance-rejection-claims

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How Cigna Saves Millions by Having Its Doctors Reject Claims Without Reading Them

Internal documents and former company executives reveal how Cigna doctors reject patients’ claims without opening their files. “We literally click and submit,” one former company doctor said.

ProPublica

On a graph that plots the various positions on AI, the two groups of weirdos who disagree about how to create the inevitable superintelligence are effectively standing on the same spot, and the people who worry about the actual way that AI harms actual people *right now* are about a million miles away from that spot.

There's that old programmer joke, "There are 10 kinds of people, those who understand binary and those who don't."

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But of course, that joke could just as well be, "There are 10 kinds of people, those who understand ternary, those who understand binary, and those who don't understand either":

https://pluralistic.net/2021/12/11/the-ten-types-of-people/

What's more, the joke could be, "there are 10 kinds of people, those who understand hexadecenary, those who understand pentadecenary, those who understand tetradecenary [*und so weiter*] those who understand ternary, those who understand binary, and those who don't."

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The Ten Types of People – Pluralistic: Daily links from Cory Doctorow

That is to say, a "polarized" debate often has people who hold positions *so far* from the ones everyone is talking about that those belligerents' concerns are basically indistinguishable from one another.

The act of identifying these distant positions is a radical opening up of possibilities. Take the indigenous philosopher chief #RedJacket's response to the Christian missionaries who sought permission to proselytize to Red Jacket's people:

https://historymatters.gmu.edu/d/5790/

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Red Jacket Defends Native American Religion, 1805

@pluralistic Love how Red Jacket addresses the missionaries: "Bro, listen." Excellent read.