Generative A.I - We Aren’t Ready.

Kyle Hill
4 Mar 202416:10

Summary

TLDR此视频探讨了人工智能生成内容对互联网的深远影响。作者认为,就像三体问题中的暗林理论,互联网正变成一片充斥着人工智能生成内容的危险领域。人们将不得不隐藏在私密空间,以免被这些'数字掠食者'攻击。我们需要找到方法来证明自己的人性,例如现实互动、机构验证、互相交流、创造独特互联网文化等。否则,我们将迷失在这片日渐黯淡、失去真实的网络之中。

Takeaways

  • 🌌 《三体》中的暗森林理论与互联网现象相似,认为宇宙(或互联网)中的生命(或用户)因为害怕被更高级的文明(或数字捕食者)捕食,而选择隐藏。
  • 🤖 互联网上真实的人类交互越来越少,取而代之的是由机器人、广告商、数据抓取器等构成的“生命体”,使得网络空间变得“生命less。
  • 💡 暗森林理论解释了网络空间真实性的下降,人们转而隐藏在私人应用、服务器和RSS源中,以避免成为数字捕食者的目标。
  • 🔊 生成性AI技术的发展使网络空间变得更加充满误导信息,导致用户在接触内容时感到不确定和压力重重。
  • 🏰 数字地堡的概念被提出,即用户为了避免被误导信息和不实内容影响,而更多地聚集在可靠的人类互动空间,如私信、电子邮件和讨论组。
  • 🌐 生成性AI技术,如ChatGPT,正在迅速扩散,并有潜力在短时间内生成海量的内容,这对于内容的真实性和质量构成了挑战。
  • 🤔 逆图灵测试成为一个新的问题,即在一个充满AI的互联网中,如何证明你是一个真正的人类,而不是一个程序。
  • 🚫 捕获测试(CAPTCHA)等技术可能不足以阻止AI伪装成人类,导致真实和虚假信息之间的界限变得模糊。
  • 🛡️ 提出了一些实践建议,用于在生成性AI普遍存在的时代中,帮助人类在线上证明自己的人性,包括在现实世界中与人互动、使用机构验证和利用AI无法模仿的文化特征。
  • 🔄 最后强调了AI技术的双刃剑特性,它既有可能带来教育普及和医疗突破的积极影响,也可能导致诸如通过模仿声音进行诈骗等负面后果。

Q & A

  • 科幻小说《三体》中的"黑暗森林"理论是什么?

    -这个理论认为,宇宙中虽然存在着生命,但它们都互相隐藏着自己的存在,因为任何公开暴露自己存在的文明都会受到其他更高级文明的猎食。

  • 为什么作者说现在的互联网就像一个"黑暗森林"?

    -作者认为,随着机器人、广告商、网络钓鱼者等在互联网上越来越活跃,真正的人类用户都躲藏在私人应用程序、服务器和RSS源中,以免受到这些"数字掠食者"的袭击。

  • 生成式AI(如ChatGPT)是如何影响互联网的?

    -生成式AI可以大规模生成文本、图像、视频等内容,使得网络上的虚假信息和合成内容激增,让互联网变得更加虚无缥缈和危险。

  • 据估计,多长时间后大部分网络内容将是合成的?

    -根据文中提到的"信息专家Nah Schick",在未来一年内,网络上的大部分内容将是由AI合成的。

  • 作者提出了哪些方式来帮助人类在"黑暗森林互联网"中证明自己的存在?

    -作者提出了四种方式:(1)真实世界见面;(2)机构验证;(3)相互交流核对客观事实;(4)创造"算法无法解析的"文化内容,如新兴网络用语和迷因。

  • 在提到的"反图灵测试"中,人工智能需要做什么?

    -在"反图灵测试"中,人工智能系统需要证明它们是真正的人类,而不是机器。这与原始的图灵测试相反,后者要求机器证明它们是"智能的"。

  • 文中提到的"SEO骗局"是什么?

    -一家公司使用AI系统快速生成1800篇文章,以吸引来自竞争对手网站的3.6百万流量。这展示了人工智能在网络欺诈和操纵方面的潜在风险。

  • 作者对AI技术的发展持何种态度?

    -作者同时看到了AI技术的积极影响(如提供教育)和潜在危害(如网络欺骗),他呼吁我们认真思考并为即将到来的变革做好准备。

  • 在"黑暗森林互联网"的语境下,保持"算法无法解析"的特点有什么作用?

    -通过创造新兴的网络用语、迷因等"算法无法解析"的内容,可以有助于人类在网络上区分自己与AI生成的内容。

  • 为什么现有的网络平台可能难以区分真实和AI合成的内容?

    -文中指出,现有网络平台可能难以应对AI生成内容的规模和速度,因为"大规模生成内容的动机很大,而人工智能又能做到比人类想象的更快更高效"。

Outlines

00:00

🌍 宇宙中的生命隐藏和敌对

此段落引入了中国科幻作家刘慈欣提出的"黑暗森林"理论,即宇宙中存在大量生命体,但它们都故意隐藏自己的存在,以免遭到更高级文明的攻击。接着将这种理论与现实生活中日益隐私化的网络环境进行类比,指出真实的人类活动都隐藏在私密空间,以逃避网络上充斥的机器人、广告等 "数字掠食者"。

05:00

👽 生成式人工智能让黑暗网络更加黑暗

这一段落阐述了生成式人工智能(如ChatGPT)的兴起,使得虚假内容泛滥、信息越来越难以辨识真伪。举例说明公司可以利用AI快速生成大量内容,误导网民或实施欺骗。由于生成式AI的发展速度超乎想象,作者认为人类面临着如何在这个日益"无生命"和"危险"的网络环境中证明自己的"人性"的挑战。

10:03

🤖 在黑暗森林般的网络中证明人性的建议

本段落总结了文化人类学家Maggie Appleton关于如何在充斥人工智能的时代在线展现人性的建议:1)多亲身参与线下活动;2)通过机构认证身份;3)相互验证客观事实;4)创造算法无法理解的文化符号。作者对这些建议的可行性表示怀疑,但仍希望人类文化能持续超越人工智能,保留网络文化中独特的人性特质。

15:05

⚠️ 警示人工智能带来的潜在危害

最后一段落是对生成式人工智能快速发展的忧虑。作者虽然认识到人工智能可能带来一些积极的影响,但同时也担心它可能被滥用于诈骗、散布虚假信息等。作者呼吁人们审慎对待这项新技术的发展,防止陷入"黑暗森林"般的网络环境。

Mindmap

Keywords

💡三体问题

《三体问题》是刘慈欣所著的科幻小说,该小说提出了一个解决费米悖论的假设,即宇宙不是空无生命,而是充满了生命,但这些生命形式隐藏且具有敌意。视频中将这一概念与互联网现象相比较,指出现实中的人类在数字世界中也像隐藏在“暗森林”中的生命一样,以避免被数字世界中的各种捕食者(如广告商、数据采集者等)发现。

💡暗森林理论

暗森林理论是由刘慈欣在其科幻作品《三体问题》中提出的一种宇宙观,认为宇宙像一个暗森林,其中的文明为了生存,会选择隐藏自己以避免被更高级的文明捕食。视频中提到的互联网暗森林理论,是将这一概念应用于互联网,说明现实中人们为了避免遭受数字捕食者的侵扰,趋向于在私密的数字空间中活动。

💡费米悖论

费米悖论是关于外星生命存在的一种问题,即如果宇宙中存在众多文明,为什么我们还没有发现它们的迹象。视频中通过引用《三体问题》中的暗森林理论,提出了一个可能的解释:宇宙中的智慧生命选择保持沉默,以免暴露自己的存在而遭到更高级文明的攻击。

💡生成式AI

生成式人工智能(AI)是指能够创造新的文本、图像、视频和声音等内容的AI技术。视频中提到,生成式AI的发展使得网络空间变得更加充满噪音和虚假信息,因为它们能够以前所未有的速度和规模产生内容,使得区分人类和AI生成的内容变得困难。

💡数字化隐私

数字化隐私是指个人在数字世界中的隐私权和安全性。视频强调,在生成式AI技术的推动下,人们为了保护自己不被数字捕食者(如数据采集者、广告商等)利用,趋向于在互联网上选择更加私密的交流方式,如使用私有应用、服务器和RSS订阅等。

💡逆图灵测试

逆图灵测试是一种测试,用于确定一个实体是否为人类,而非计算机程序。与传统图灵测试相反,逆图灵测试的目标是让机器来判断交流对象是否为人类。视频中提到,随着AI技术的发展,我们可能需要更多这样的测试来区分人类生成的内容和AI生成的内容。

💡社交媒体验证

社交媒体验证是一种证明用户身份的机制,通常用于区分真实用户和机器人或虚假账户。视频中提出,为了对抗生成式AI带来的挑战,可能需要实施更严格的身份验证措施,如亲自到指定地点进行验证,以确保网络内容的真实性。

💡算法不协调性

算法不协调性是指通过使用独特的、不常见的或新颖的表达方式,使得算法难以理解或模仿人类的交流模式。视频中提到,人们可以通过使用特定的行话、表情符号或时下流行的网络文化元素,来标示自己的人类身份,从而在数字世界中与AI区分开来。

💡信息泛滥

信息泛滥指的是在数字环境中,由于内容的过量生产,使得人们难以筛选出有价值的信息。视频中指出,生成式AI技术的普及可能导致网络空间充斥着大量由AI生成的内容,增加了人们在获取真实、有价值信息时的难度。

💡人类交互验证

人类交互验证是指通过某些测试或机制来证明一个用户是真实的人类,而非AI或机器人。视频中提到的CAPTCHA是一个典型例子,它通过要求用户输入看到的扭曲文字来防止自动化的垃圾邮件攻击。这种验证机制在未来可能需要变得更加复杂,以应对越来越智能的AI。

Highlights

Dans le roman de science-fiction chinois 'Le Problème à Trois Corps', l'auteur Liu Cixin propose une solution au célèbre paradoxe de Fermi : l'univers est une 'Forêt sombre' où la vie intelligente existe, mais reste cachée et hostile par nécessité.

La théorie de la 'Forêt sombre d'Internet' de Venkatesh Rao explique le déclin du sentiment d'authenticité sur le web, où les vrais utilisateurs humains se cachent des prédateurs numériques.

L'arrivée de l'IA générative rend la 'Forêt sombre' d'Internet encore plus sombre et dangereuse, avec une quantité croissante de contenus synthétiques impossibles à distinguer du contenu humain.

Selon l'expert en désinformation Nah Shick, la majorité du contenu en ligne sera synthétique d'ici un an.

Les lobbies politiques peuvent désormais facilement créer des armées de 'bots influenceurs' générant du contenu de manière automatisée à grande échelle.

Des entreprises utilisent déjà l'IA pour plagier et détourner le trafic de sites concurrents.

L'IA générative remet en question le test de Turing classique, donnant lieu à un 'test de Turing inversé' où les machines doivent prouver qu'elles sont humaines.

Il n'existe pas encore de système fiable pour distinguer le contenu humain du contenu IA sur la plupart des plateformes en ligne.

Pour signaler son humanité en ligne, Maggie Appleton conseille de se rencontrer en personne, d'obtenir une vérification institutionnelle, de confronter les faits entre humains et d'adopter une 'incohérence algorithmique'.

Se rencontrer physiquement et avoir des interactions hors ligne est la manière la plus simple de prouver son humanité.

Une vérification d'identité institutionnelle en personne pourrait devenir inévitable pour publier en ligne.

En communiquant sur des faits que l'IA ne peut pas connaître, les humains peuvent s'assurer qu'ils interagissent entre eux.

Adopter un langage algorithmiquement incohérent (argot, mèmes, styles propres aux communautés en ligne) peut aider à signaler son humanité face à l'IA.

Bien que l'IA offre d'immenses avantages potentiels, nous ne sommes pas prêts pour son arrivée rapide et devons réfléchir à nos prochaines étapes avec soin.

Le risque est de nous perdre collectivement dans les ténèbres d'un Internet devenu inhumain à force de contenus synthétiques.

Transcripts

00:01

in the three-body problem Chinese sci-fi

00:04

author Leu Sushin offers a solution to

00:06

the famous firm Paradox the universe is

00:10

not empty of life rather the universe he

00:13

writes is a dark Forest there is life

00:17

throughout it but it's both hidden and

00:20

hostile why because any intelligent life

00:23

foolish enough to broadcast its presence

00:25

to the cosmos is immediately prayed upon

00:28

by other more advanced civilizations

00:30

patience and so the fmy Paradox isn't

00:33

one life is out there but it's

00:36

intentionally

00:39

silent as sci-fi as the theory sounds

00:42

you're more familiar with the idea than

00:43

you think every day we live more and

00:46

more of our lives on the internet in the

00:48

digital and every day that space is

00:51

flooding more and more with Bots

00:53

advertisers trolls data scrapers

00:55

clickbait influencers and Mindless

00:58

social media mobs looking for today's

01:00

main

01:01

character the internet feels steadily

01:03

more lifeless but that's because like

01:06

those alien civilizations the real human

01:09

users are hiding in private apps servers

01:12

and RSS feeds lest they be beset by

01:15

these digital

01:17

Predators this is yansy strickler's Dark

01:20

Forest theory of the internet something

01:22

to explain the declining realness of the

01:25

web and I know you feel it it's hard not

01:28

to when most photos are shopped

01:30

influence is bought engagement is a

01:33

meaningless number and every article

01:35

reads worse than a high schooler's first

01:37

essay unfortunately with the now

01:40

Unstoppable spread of generative AI the

01:44

forest is about to get a lot darker and

01:47

a lot more

01:51

dangerous when you and I last spoke

01:53

about generative AI or AI that can

01:56

generate new text images videos sounds

01:59

from training data I was merely

02:01

speculating on how this new technology

02:04

might change your digital life but you

02:08

know it already is don't you when's the

02:11

last time you clicked on anything

02:14

believed any headline or any social

02:16

media post not wanting to go through the

02:20

time and effort to check whether or not

02:22

it's ground truth whether or not it has

02:24

the right context whether or not it's

02:27

made by an actual person how could you

02:29

not feel overwhelmed in an increasingly

02:32

lifeless and dangerous

02:36

internet the Dark Forest internet and

02:38

generative AI is probably why you've

02:40

retreated to the places you still get

02:42

provably human interactions with people

02:45

you might even know private spaces like

02:47

text messages emails discords and slacks

02:51

there have always been advantages to

02:53

these more curated spaces of course but

02:55

as cultural Anthropologist Maggie

02:57

Appleton points out generative Ai and

02:59

large language models like chat GPT are

03:02

going to force us further into our

03:04

digital bunkers and impenetrable silos

03:07

echoey though they may be because the

03:09

Dark Forest internet is exponentially

03:12

expanding misinformation expert nah

03:14

schik estimates that the majority of

03:16

online content will be synthetic within

03:19

the next year case in point chat gbt and

03:23

its users are currently generating more

03:25

text than has ever appeared in every

03:28

physical book ever written every two

03:31

weeks so by now um language models have

03:34

turned uh into lots of very easy to use

03:36

products right you don't really need any

03:38

technical skills to use them so these

03:40

are a bunch of like very popular

03:42

copywriting apps that are out there in

03:43

the world here's just one of the

03:44

examples of what's coming from

03:46

Appleton's talk the expanding Dark

03:48

Forest and generative AI the reason I'm

03:50

making this video imagine that some

03:53

political lobbyists spin up 1,000

03:56

decently intelligent AIS that can

03:58

generate text and video and then they

04:00

tell each of them to go be influencers

04:03

the Bots then instantaneously make

04:05

accounts on most social media platforms

04:07

they generate their own websites they

04:09

publish independent books with

04:11

synthesized voices they make many

04:14

documentaries on YouTube they host each

04:16

other on podcasts individually they all

04:19

appear to make a reasonable human amount

04:21

of content but taken together these

04:24

human lobbyists have created an

04:26

automated content ring of lifeless

04:29

engagement at a scope and scale that

04:31

would take any one human a lifetime to

04:33

create and

04:35

curate this is all possible with the

04:37

technology that we have right now and it

04:40

appeared almost out of nowhere in just a

04:43

few months um but the point is that this

04:45

is incredibly easy to do at this point

04:47

with with no technical skills Appleton's

04:49

example isn't just hypothetical

04:51

companies are doing this right now in

04:54

the November of 2023 Elon musk's mistake

04:57

user Jake Ward tweeted this we pulled

05:00

off an SEO Heist that stole 3.6 million

05:03

total traffic from a competitor AI

05:05

allowed Ward to quickly and easily

05:07

export a competitor's sitemap turn their

05:09

list of URLs into article titles and

05:12

then in a matter of just hours create

05:15

1,800 articles from those titles that

05:18

directed web traffic away from that

05:20

competitor now imagine this kind of

05:23

strategy for every single corner of the

05:26

internet every business every chatbot

05:29

every influencer pulled off faster and

05:31

more efficiently than any human could

05:33

even

05:34

conceptualize this is what's

05:38

coming the Dark Forest

05:41

expands just over a year ago we weren't

05:44

sure any technology or indeed chatbot

05:47

could pass the famous Turing test but

05:50

now faster than we were ready for and

05:52

without our consent humanity is faced

05:56

with maybe a more interesting question

05:59

how how will we humans out here in the

06:02

dark looking for light pass the reverse

06:06

Turing

06:09

test Alan turing's seminal 1950 paper

06:12

Computing machinery and intelligence

06:15

opens with a simple question can

06:18

machines think turns out thinking is

06:21

pretty hard to Define so instead he

06:24

proposed a simple test an imitation game

06:28

he called it imagine that you're an

06:30

interrogator of two entities your job is

06:33

to determine through written text alone

06:36

which is the human and which is the

06:38

computer if a computer can fool you into

06:41

thinking it is the human then that

06:44

machine will have passed what came to be

06:45

known as the Turing test since touring

06:49

his test was the popularly understood

06:52

Benchmark for thinking machines and for

06:54

those of us outside the wired walls of

06:57

computer science the Turing test never

06:59

really seemed passable it was like The

07:02

Uncanny Valley problem for graphics

07:04

technology computers are always getting

07:07

closer and closer to rendering

07:08

believable humans but you can always

07:10

tell something is off turns out primate

07:13

brains naturally selected over millions

07:15

of years are pretty good at recognizing

07:18

faces but everything changed with chat

07:21

GPT suddenly hundreds of millions of

07:24

people around the world realized that

07:26

the Turing test had been passed

07:30

the large language model you can learn

07:32

exactly how it works in another video

07:34

now rates higher than human doctors on

07:36

bedside Manor scores better than 90% of

07:39

lawyers on the bar and 99% of graduate

07:42

students on the gr unsurprisingly every

07:46

sector of human endeavor that trades in

07:48

on human intelligence which is all of

07:50

them is now rushing to incorporate this

07:52

technology in some way I've said that

07:55

because of Technology like chat GPT

07:58

everything is about to change

08:00

but I don't just mean humans losing

08:01

their jobs or falling in love with

08:03

chatbots I mean that turing's

08:05

fundamental assumption in his imitation

08:07

game that a human will have to decide

08:10

what passes for human is no longer valid

08:13

in all cases a reverse Turing test is a

08:17

modification of the original where the

08:19

objective of one or more of the roles

08:21

has been reversed as AI proliferates

08:24

into every corner of the Dark Forest

08:26

internet other non-human machines will

08:28

increase inas inly be tasked with a

08:30

reverse imitation game where language

08:33

models and other technologies will try

08:35

to prove that they're human capture is

08:38

an example of a reverse Turing test it

08:41

may soon not be the case but right now

08:44

there are still no systems sophisticated

08:46

enough to reliably read and reproduce

08:49

distorted images of text and so the

08:52

capture computer decides that any

08:54

successful deciphering must be done by a

08:57

human a test like this is important

09:00

because without it you can imagine

09:02

websites being overrun by spam scams and

09:06

Bots but it seems inevitable now that

09:09

they will be the specific phrase that

09:12

llms use to identify themselves as an AI

09:16

language model has started to show up in

09:18

Amazon reviews Yelp reviews tweets and

09:21

Linkedin posts everywhere specifically

09:24

because we don't have the capture

09:26

equivalent protecting those spaces

09:29

to these systems the AI may as well be

09:32

human the time is coming and coming very

09:36

soon when we will need captal likee

09:38

systems in place socially politically

09:41

commercially to determine what is

09:44

actually human generated content lest

09:46

everything you see online just add to

09:49

the cacophony of a dead internet we

09:52

don't have these systems yet and if and

09:55

when we do they are likely to lag

09:57

dangerously behind what massively

09:59

incentivized generative AI will be able

10:02

to do by that point do you really think

10:05

a platform like Twitter will be able to

10:08

sort the synthetic from the Simeon and

10:11

make the Right Moves here when it's

10:13

basically just posting its way

10:15

through the

10:17

apocalypse so how do you tell other

10:21

humans and thinking machines that you

10:24

are in fact human on a dark Forest

10:28

internet

10:30

Maggie Appleton has some practical

10:32

advice for human signaling online in an

10:35

age of generative Ai and the first is

10:39

Right Here show up in meat space meet

10:43

other people go outside and actually

10:46

touch grass something no doubt was lost

10:50

when our digital lives became more

10:52

important than our physical ones so

10:54

let's go out there and reclaim it this

10:58

is not as fun or as accessible as the

11:01

internet before it went dark but it's

11:03

probably the quickest and easiest way to

11:06

prove that you are a human to other

11:09

humans the institutional verification of

11:12

your humanness feels the most dystopian

11:15

idea but it may be the most unavoidable

11:18

it would have to be something that goes

11:20

beyond a blue check mark that you pay a

11:22

rich man Bay before maybe before

11:25

registering a website writing an article

11:27

or even posting to social media you have

11:30

to show up in person somewhere and

11:32

verify that you are in fact you and not

11:35

just an image or voice that could be

11:37

easily

11:38

generated internet culture grew up

11:40

around hating this idea in principle but

11:43

it may be impossible to avoid when any

11:46

bad actor for free can fool millions of

11:49

people into thinking that the pope has

11:52

drip or deep fake of President declaring

11:55

nuclear

11:56

war the last two tactics Appleton offers

11:59

takes advantage of the fact that current

12:01

AI models are indeed machines machines

12:04

trained on certain data sets from

12:06

certain places and at certain times

12:09

knowing this we can come together online

12:11

and triangulate objective reality with

12:14

each other to prove our Humanity our

12:17

brains are constantly producing models

12:19

of the world and check those models

12:22

against sensory input current AI models

12:24

cannot do this they don't know any facts

12:27

people or world events that came into

12:29

being after their most recent round of

12:31

training and they don't feel the world

12:33

like you do they don't belong to

12:35

communities they don't reflect on

12:37

themselves and their history or enjoy

12:39

the richness of sensory experience by

12:43

communicating with each other online in

12:45

a way that reflects the aspects of

12:47

humanity apart from intelligence we can

12:50

simultaneously have more grounded

12:52

interactions and be sure that a human is

12:55

on the other side of the screen finally

12:58

we can distinguish ourselves in the dark

12:59

Forest by becoming what Appleton calls

13:02

algorithmically

13:04

incoherent large language models like

13:06

chat GPT only work by sequencing words

13:09

that are the most statistically likely

13:11

to go together in response to a prompt

13:13

based on vast amounts of training data

13:16

because of this these models hedge and

13:19

generalize in other words they basic

13:23

this gives real humans an opportunity to

13:25

reclaim one aspect of Internet culture

13:27

that is still the most fun creating

13:30

internet specific culture no language

13:33

model will be able to keep up with the

13:35

pace of weird internet lingo and memes

13:38

Appleton writes using jargon euphemistic

13:41

Emoji unusual phrases ingroup dialects

13:44

and memes of the moment will help signal

13:47

your Humanity end quote it's possible

13:51

that human culture could continue to

13:53

outpace AI culture like teenager culture

13:56

outpaces their parents Maybe Riz and Gat

14:01

will end up saving something uniquely

14:03

human online I wish I was able to end

14:06

this warning on a happier note I really

14:08

do and make no mistake I am 100% certain

14:12

that Ai and its proliferation will lead

14:15

to some amazing outcomes I think it

14:18

could provide free worldclass education

14:21

to every child in the world and it would

14:23

just be on their phone I think if

14:26

anything is going to find a cure for

14:27

cancer it's going to be one of these

14:29

large intelligent systems but for me it

14:33

is much easier to think of many more

14:36

much more harmful outcomes phone

14:40

scammers using your synthesized voice to

14:42

scam your parents

14:58

from a single

15:00

photo we are not ready for what's coming

15:04

and we need to think about our next

15:06

steps very carefully lest we all get

15:11

lost in the

15:19

[Music]

15:27

Darkness

15:29

[Music]

15:57

for

16:01

[Music]