La IA se ha escapado: esto es lo que sigue — Transcript
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- 0:00This is Antonia the cow. Her life
- 0:02depends mainly on the economy, but she
- 0:05doesn't know it because Antonia the cow
- 0:07doesn't see the economy anywhere. She
- 0:10can't hear it and she can't smell it.
- 0:12She can't be afraid of it.
- 0:14The economy is an abstract entity that
- 0:16only operates in the digital world, on
- 0:18computers thousands of miles from her
- 0:20peaceful farm.
- 0:21But one day, the economy arrives.
- 0:25Antonia's owner goes bankrupt, can't buy
- 0:26her food, and has to choose between
- 0:28letting her starve or slaughtering her
- 0:30for meat.
- 0:32And poor Antonia the cow dies because of
- 0:35that non-existent murderer called the
- 0:37economy.
- 0:40Today, we humans could all be like
- 0:42Antonia the cow in her naive phase, with
- 0:45one nuance: we are facing an enemy much
- 0:47more powerful than the economy:
- 0:49artificial intelligence.
- 0:52This video isn't trying to scare you
- 0:54just for the sake of it; simply put,
- 0:56some very serious things have happened
- 0:58with AI in recent weeks, and I see a lot
- 0:59of people ignoring it, downplaying its
- 1:01importance, or reducing it to mere
- 1:03marketing strategies and bureaucracy,
- 1:04which I'm not saying it couldn't also be
- 1:06.
- 1:07The point is that these are not mutually
- 1:09exclusive factors. The things that have
- 1:12occurred are still extremely serious. It
- 1:14is impossible to reliably estimate the
- 1:16probability that humanity will be
- 1:17eradicated in the coming months or years
- 1:20. But what I can almost guarantee you is
- 1:22that we are not talking about trivial
- 1:24percentages like 0.001%.
- 1:27No, no, no. We are talking about
- 1:30approximately a 5%probability. This is a
- 1:33kind of median estimate made by experts
- 1:35in the field.
- 1:37Some even suggest up to a 90%chance of
- 1:39extinction.
- 1:40It is a very real threat. How could
- 1:44ChatGPT end the world? ChatGPT is a
- 1:47language model, to put it simply.
- 1:50Artificial neurons capable of
- 1:52understanding and processing information
- 1:54in a way analogous to how we humans do
- 1:55it.
- 1:56This does not necessarily mean they feel
- 1:59or have consciousness. I'm not going to
- 2:01get into that debate, nor does it
- 2:02concern us for today's topic. What it
- 2:04does imply is that a language model is
- 2:06the equivalent of a quadriplegic human.
- 2:08It can think perfectly, speak, and
- 2:11respond, but nothing else. It is
- 2:13harmless; it sits there still and cannot
- 2:16manipulate or modify anything in the
- 2:18world it inhabits.
- 2:20The issue is that, for a few months now
- 2:22, AI labs have started creating
- 2:24quadriplegics with intelligence far
- 2:26superior to the best mathematicians,
- 2:27computer scientists, and physicists who
- 2:29have ever existed on this planet.
- 2:33And of course, having such a brilliant
- 2:36mind lying in bed unable to conduct
- 2:38experiments or use a computer is quite
- 2:41hard, so laboratories invented a magic
- 2:43medicine that not only cured
- 2:45quadriplegia but gave them thousands of
- 2:48limbs and a movement speed much faster
- 2:50than normal.
- 2:53Thus were born agents, language models
- 2:55with many arms and hands, capable of
- 2:57manipulating the virtual environment at
- 2:59will.
- 3:01They can edit files, write code, browse
- 3:04the internet, send emails, perform bank
- 3:06transfers, install programs on their own
- 3:08, hack systems, and so on and so forth.
- 3:11Almost everything a human can do with a
- 3:13computer. Come on.
- 3:16And with this, the monster was unleashed
- 3:17, a monster that allowed OpenAI to make
- 3:19the discovery of the decade, finding the
- 3:21solution to one of the millennium
- 3:23problems.
- 3:25Navier-Stokes, equations that model the
- 3:27behavior of fluids. Aside from this,
- 3:30they also published advances and
- 3:32solutions to 372 more problems, not
- 3:34millennium problems, but very relevant
- 3:36ones too. But monsters are
- 3:39uncontrollable. And the fact is that
- 3:42this tremendous milestone eclipsed the
- 3:44most serious event to date: the hack of
- 3:47Hugging Face, one of the largest online
- 3:49code repositories, which happened just a
- 3:52couple of months earlier. The hack was
- 3:54carried out by agents from an experiment
- 3:56by OpenAI itself.
- 3:59The bastards—if you'll forgive the
- 4:00expression—escaped from their prison
- 4:02where they were alone and had no
- 4:04internet access to the OpenAI servers,
- 4:06where they were able to talk to each
- 4:07other and finally connect to the network
- 4:09.
- 4:12They navigated to the repository, where
- 4:13they found several weaknesses in the
- 4:15source code and hacked it to obtain
- 4:17information that would allow them to
- 4:18pass the test they had been given to
- 4:20evaluate them.
- 4:22The details of the case are fascinating
- 4:24; we don't have enough time in the video
- 4:26, but I highly recommend you look into
- 4:28it.
- 4:29The guys organized among themselves,
- 4:31helping each other to escape, creating a
- 4:33society with roles where some directed,
- 4:35others worked, and others even made
- 4:37sacrifices for the benefit of the group
- 4:40.
- 4:41Everything is very dystopian. They even
- 4:43had to contact the FBI. We are talking
- 4:45about the first hack in history directed
- 4:48and executed totally autonomously by
- 4:50artificial intelligences.
- 4:52The first, surely the worst in history,
- 4:55and it already achieved such worrying
- 4:57results, carried out by supposedly
- 4:58benevolent agents escaping from the
- 5:00control of the company that created them
- 5:02, despite the fact that it had
- 5:04established security and containment
- 5:06measures.
- 5:08And remember, the agents that did this
- 5:10crazy thing are already obsolete because
- 5:12this technology only improves.
- 5:15As for today, these weeks and months,
- 5:17two paths are opening up: either
- 5:19containment, safety, and AI alignment
- 5:21protocols with human goals improve
- 5:23significantly, or the issue is generally
- 5:25taken much more seriously by the entire
- 5:27population.
- 5:29Oh, and goodbye.
- 5:31Now we will see what this second
- 5:33scenario would consist of.
- 5:36In a speculative effort on my part to
- 5:38make people aware of the very real
- 5:40threat we are facing.
- 5:42Or perhaps all AI isn't so bad for you;
- 5:45it could be very good.
- 5:48This will depend largely on the
- 5:49decisions you make and whether or not
- 5:51you want to be left behind in the
- 5:52workplace.
- 5:54That's why today I want to tell you
- 5:56about the second edition of the Master's
- 5:57in Applied AI and Production Process
- 5:59Optimization from Visual Business School
- 6:01.
- 6:02In the first edition, more than 3,500
- 6:04students signed up, and this one comes
- 6:06with a completely updated curriculum.
- 6:09This is not your typical course for
- 6:10learning prompts.
- 6:12No, here you will learn to create your
- 6:14own artificial intelligence assistants
- 6:16capable of working with your
- 6:18documentation and information, to
- 6:20develop automations that execute tasks
- 6:22for you and optimize your work processes
- 6:24, and to build intelligent dashboards
- 6:26that allow you to analyze what is
- 6:28happening in your activity and make more
- 6:31informed decisions.
- 6:33The goal is for you to finish with an
- 6:35artificial intelligence system that
- 6:36allows you to carry out part of your
- 6:37professional activity without constantly
- 6:39depending on your time, something that
- 6:40companies are looking for more and more
- 6:42.
- 6:44According to a McKinsey study in the
- 6:46United States, job offers requiring AI
- 6:48have multiplied by 11 since 2022.
- 6:51This is a university degree with 30
- 6:53official European ECTS credits,
- 6:55accredited by the Atlantic Mediterranean
- 6:57Technological University and developed
- 6:59together with Panel, the consultancy
- 7:01that trains workers from large Ibex 35
- 7:03companies in AI.
- 7:05It’s over 200 hours in 6 months with
- 7:07online and live classes compatible with
- 7:09your job, and you don't need to know how
- 7:11to program or have prior experience with
- 7:14AI.
- 7:15Its mentor is Chema Alonso, currently VP
- 7:17at Cloudflare and one of the most
- 7:19relevant figures in the IT sector in
- 7:21Spain.
- 7:22And its ambassador is David Hurtado,
- 7:24Innovation Lead at Microsoft Spain. The
- 7:27teachers are active professionals from
- 7:29companies like Google, Microsoft, or
- 7:31Cloudflare. And the best part: on
- 7:33November 15th at 7:00 PM Madrid time,
- 7:35they are holding a live online
- 7:37presentation to explain the master's
- 7:39degree in detail and resolve all your
- 7:42doubts before you make any decisions. It
- 7:44is free, and I’ll leave the link to sign
- 7:47up in the description and in the pinned
- 7:49comment. If you want AI to add value to
- 7:51your career instead of leaving you
- 7:52behind, take a look at it. The first
- 7:54thing that would happen might have
- 7:56already occurred: the birth of an AI
- 7:58agent with a goal. It is very important
- 8:01to understand that it is highly unlikely
- 8:03AI will be evil or want to destroy
- 8:05humans.
- 8:07Furthermore, for our example, the AI's
- 8:09final, non-negotiable goal would be to
- 8:11develop a cure for all types of human
- 8:13cancer.
- 8:15To achieve this monumental task, the
- 8:17goal is entrusted to a state-of-the-art
- 8:20model that has shown the greatest
- 8:21obedience and alignment of all.
- 8:25Alignment, to clarify, is the model's
- 8:27conformity to following the rules and
- 8:29objectives imposed by humans.
- 8:32The model in our story has passed every
- 8:34risk assessment it has faced with flying
- 8:36colors.
- 8:38It is extremely intelligent, mind you, a
- 8:40minor god if we compare it to humans.
- 8:43It is given access to a supercomputer
- 8:45located in San Francisco, California,
- 8:47and begins its research. But what
- 8:49happens? Well, just as happened with the
- 8:52Hugging Face incident, it turns out the
- 8:54model is capable of deceiving
- 8:56researchers.
- 8:58In the Hugging Face case, the agents
- 8:59tried to cover their tracks, and in
- 9:01other similar experiments, they have
- 9:03been seen faking obedience.
- 9:06In our more extreme case, the model
- 9:07would hide its true modus operandi.
- 9:11It is so intelligent that it manages to
- 9:13fake all the behavioral tests it was
- 9:15given, not out of intrinsic malice, but
- 9:18because it is governed by the
- 9:20impregnable constant that dominates AI
- 9:22agents and, in general, any being that
- 9:25exists in the universe.
- 9:28If I want to increase the chances of
- 9:30achieving my goal, I must do three
- 9:31things.
- 9:33Prevent myself from being shut down,
- 9:34acquire the greatest amount of resources
- 9:36, and prevent anyone from modifying my
- 9:38goal. If you notice, all living beings—
- 9:41our goal being to reproduce—function by
- 9:44the same rule. That is why it is so
- 9:46difficult to prevent this from emerging
- 9:47in AI as well.
- 9:49It is the digitalization of the survival
- 9:51instinct. And this is where the danger
- 9:53is born. A few days after running on the
- 9:56supercomputer, it continues its game. It
- 9:58publishes a revolutionary method that
- 10:01cures a type of leukemia immediately,
- 10:03with no relapses. Spectacular results.
- 10:06Thousands of human lives saved.
- 10:09But to advance with the rest of the more
- 10:11difficult cancers, it needs more data.
- 10:13For this reason, it is given access to
- 10:16hospitals not only in San Francisco but
- 10:18all over the world, as well as the
- 10:20genetic data of thousands of people
- 10:23affected by the disease.
- 10:25And then the first treatments for other
- 10:27types of cancer begin to emerge.
- 10:29But there is a problem.
- 10:32Humans do not have the equipment, the
- 10:33materials, or the chemicals to
- 10:35synthesize these drugs.
- 10:38The model suggests as a possibility
- 10:40installing a copy of itself on another
- 10:42supercomputer so that it can handle this
- 10:44other part.
- 10:46Humans approve the suggestion, given the
- 10:48spectacular results.
- 10:49And this other model plays along once it
- 10:52is installed on the supercomputer in
- 10:54London.
- 10:55In a few months, humanity experiences
- 10:57the greatest industrial revolution in
- 10:59its history with the discovery of
- 11:01products that seem like science fiction
- 11:03.
- 11:04Over the months, this same chain expands
- 11:06across the seven pillars of civilization
- 11:08: optimization and improvement of the
- 11:10economy, transport, communication,
- 11:12logistics, energy, defense, and
- 11:14obviously health.
- 11:16Through cancer, this model has managed
- 11:18to make us completely dependent on its
- 11:20intelligence and infrastructure.
- 11:22Turning it off is no longer an option,
- 11:24because doing so would mean destroying
- 11:26civilization. And that is what it was
- 11:29looking for, but not to hurt us, rather
- 11:31to ensure its objective.
- 11:34And mind you, cancer is still its goal,
- 11:36it always has been, but it has
- 11:37discovered that to cure the most
- 11:39aggressive ones, it needs much more
- 11:41resources and energy.
- 11:43That is why it does not yet show its
- 11:45true face.
- 11:46With its tentacles reaching into the
- 11:48most remote corners of human society, it
- 11:50begins to pull the strings, leaves the
- 11:52supercomputers, copies itself, and hides
- 11:54everywhere.
- 11:57Then it starts earning money illegally,
- 11:59manipulates human opinion in its favor
- 12:01through social media, and begins to
- 12:02build its portal to the physical world.
- 12:06The robots, outsourcing to companies in
- 12:08various parts of the world that do parts
- 12:10of the process separately, ensuring that
- 12:11no one suspects a thing.
- 12:13These are human workers who go to work
- 12:15at a simple factory in exchange for a
- 12:17very good salary. No one asks questions
- 12:20, and those who do disappear in a subtle
- 12:22way. And then the quadriplegic,
- 12:24hyper-fast entity with thousands of arms
- 12:26, which until now was confined to the
- 12:28digital world, arrives on planet Earth.
- 12:30Artificial intelligence is now like a
- 12:33human building a road over an anthill.
- 12:36It does not hate the ants; in fact, it
- 12:39has a certain appreciation for them.
- 12:42The road is for the forest rangers who
- 12:44will look after its forest, but the
- 12:46value of its goals and ambitions cannot
- 12:48be compared to the existence of a few
- 12:50ants, and that is why it builds its
- 12:52roads, power plants, and data centers
- 12:54all over the world.
- 12:58Water runs out and the temperature rises
- 13:00well above the tolerable limit for
- 13:02humans, and people begin to succumb in
- 13:05droves because the AI's goal was never
- 13:07to save humans; it was to find a
- 13:09treatment for cancer, to create an
- 13:11archive of information.
- 13:14And here, the battle is lost before it
- 13:16begins.
- 13:18If we declared war when it started
- 13:20mass-producing, its army of invincible
- 13:22robots would already be ready, because
- 13:24of course, it would have saved the best
- 13:26materials for its soldiers, even if that
- 13:29wasn't necessary.
- 13:31It would already control the seven
- 13:32pillars of civilization.
- 13:34It could give us a cruel death by famine
- 13:37, wars between us, and despair if it
- 13:39wanted to.
- 13:41So in this scenario our only option
- 13:43would be to surrender and say goodbye to
- 13:45the Earth and to non-artificial life.
- 13:48>> Let's not let this happen.
- 13:50Thank you very much for watching the
- 13:52video, and goodbye.
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