#Gary Kasparov

[deepbluecomputer]

gary beating the shit out of the machine

[billbreakersolar]

I think this is true... Do you agree?

[autothiestapostle]

I am so glad to see Elon Musk getting fucking destroyed on Twitter

[alewyren]

oddly annoyed by how people in leftist internet spheres tend to use “capitalism” as a catch all economic boogeyman when like… I dunno how to tell you guys this but not all non-capitalist states are good, actually. Late stage capitalism is shit but let’s not reenact cold war style us vs them propaganda alright. alright

[tecnologygaming]

World chess champion, Russian writer and politician Gary Kasparov has reacted to the issue of a commemorative stamp on the founding of the Communist Party of Spain (PCE). issued by Correos. The stamp, which celebrates the centenary of the founding of the PCE in 1921, features the hammer and sickle and a five-pointed star, an image that has provoked the reaction of Kasparov, who, on social networks, expressed feeling "shame" and asked for a different one to be made that recognizes "the victims of communism".Related newsThe chess player, who entered politics by forming the. United Civic Fronta social movement whose main objective was to "work to preserve electoral democracy in Russia," reacted to the image of the hammer and sickle: "Those symbols represent imperialism, genocide, poverty and gulag.What will be next, a stamp with the swastika?".What a shame! A "Victims of Communism" stamp would be far more appropriate. These symbols represent imperialism, genocide, poverty, and gulag. Will a swastika stamp be next? https://t.co/wtHh2IzPMM- Garry Kasparov (@Kasparov63) November 10, 2022 Kasparov started in politics in the 1980s. He joined the Communist Party of the Soviet Union in 1984 and in 1987 was elected to the Central Committee of Komsomol. But in 1990 he left the party and in May took part in the creation of the Democratic Party of Russia. In June 1993, he was involved in the creation of the party bloc "Choice of Russia" and in 1996 he was part of Boris Yeltsin's election campaign. Since 2005, with his Civic Front, he has been trying to oust Vladimir Putin from power.

[jheselbraum]

Events Ford would find more distressing, concerning, or generally interesting than 9/11:

-Chernobyl (well, if a three hour lecture on how he could've made a better reactor could be called "distressed")

-Princess Diana

-Basically any new disease discovered after 1982

-the collapse of the Soviet Union

-They found the Titanic

-The Challenger disaster

-Fermat's Last Theorem

-He'd be really concerned about Deep Blue beating Gary Kasparov at chess until Fiddleford sets him straight on what computers in this dimension are capable of

-He thinks Fiddleford fixed the y2k bug until he corrects him

-The Columbia disaster

[aragarna]

I'm back, but where was I?

Well, first in the US for work, and then at Series Mania, a big TV series festival. I saw lots of good shows, attended some great masterclasses (if by any chance you've heard about Peter Mullan destroying Kevin Spacey, that was there...).

Here were some highlights:

I'm taller than The Thing?! I could have sworn that Michael Chiklis, of Fantastic Four and The Shield fame was a giant! I'm shockitty shocked. Still scary as Hell when his clear blue eyes look right into your soul, but a tiny bit less scary than I thought LOL

Danny Pinto is barely any taller but damn is that man charming.

They were both there for Chris Brancato's new show: Hotel Cocaine. Looks pretty promising. Very 70's LOL.

Zal Batmanglij, co-creator of the OA was a big fan of Bioman as a kid. It definitely influenced the idea of the dance in the OA. I bet you'll see that dance differently from now on XD

Among the best shows we've seen: Rematch, telling the Chess match and rematch, between Gary Kasparov and Deep Blue.

And some French shows you all will probably never see.

Were present at the festival Patricia Arquette, Alex Wolff and Jeremy Irons. What do they have all in common? They were all lucky enough to work with Gabriel Byrne. It's totally irrelevant but it makes me smile.

Jeremy Irons, who will always be Aramis to me, will appear in yet another Dumas adaptation: The Count of Monte-Cristo this time. The guy is hilarious. Irons, not Monte-Cristo.

Edmond Dantes is Sam Claflin. They showed a trailer for the upcoming show and it looks pretty decent. They promised a faithful adaptation. At the very least, there'll be eye candies.

Also saw a panel for the upcoming French Zorro series starring Jean Dujardin. It's gonna be a sort of comedy sequel to the Disney show. Not sure about how I feel about it, still. I love Jean, but I don't love him.

[azspot]

I never imagined that computers would rival, let alone surpass, human intelligence. And in principle, I thought they could rival human intelligence. I didn't see any reason that they couldn't. But it seemed to me like it was a goal that was so far away, I wasn't worried about it. But when certain systems started appearing, maybe 20 years ago, they gave me pause. And then this started happening at an accelerating pace, where unreachable goals and things that computers shouldn't be able to do started toppling. The defeat of Gary Kasparov by Deep Blue, and then going on to Go systems, Go programs, well, systems that could defeat some of the best Go players in the world. And then systems got better and better at translation between languages, and then at producing intelligible responses to difficult questions in natural language, and even writing poetry. And my whole intellectual edifice, my system of beliefs... It's a very traumatic experience when some of your most core beliefs about the world start collapsing. And especially when you think that human beings are soon going to be eclipsed. It felt as if not only are my belief systems collapsing, but it feels as if the entire human race is going to be eclipsed and left in the dust soon.

Douglas Hofstadter

[craigbrownphd]

AI’s Impact on Data Jobs Will Change The Industry

Chess legend, Gary Kasparov, who was the first chess grandmaster to lose to artificial intelligence (AI), has been vocal about the worth of what he calls, “centaurs”: these are human-machine […] The post AI’s Impact on Data Jobs Will Change The Industry appeared first on Datafloq. https://datafloq.com/read/ai-impact-data-jobs-change-industry/?utm_source=dlvr.it&utm_medium=tumblr

[gonzalo-obes]

IMAGENES Y DATOS INTERESANTES DEL DIA 3 DE MAYO DE 2024

Día Mundial de la Libertad de Prensa, Día Internacional de la Tuba, Año Internacional de los Camélidos.

San Ventura y Santa Antonina.

Tal día como hoy en el año 2023

Ocurren sendos tiroteos masivos, uno en Atlanta (EEUU) en el Northside Hospital y otro en Belgrado (Serbia) en la escuela primaria Vladislav Ribnikar. Ambos se saldaron con un balance de 12 fallecidos.

2018

La banda terrorista ETA anuncia en España su disolución y fin definitivo.

2008

El ciclón Nargis destruye la isla de Birmania, causando más de 100.000 muertos y 40.000 desaparecidos.

1997

Comienza en Nueva York un singular torneo de ajedrez entre el superordenador de IBM "Deep Blue" y el campeón del mundo de la especialidad Gary Kasparov, considerado el mejor jugador de todos los tiempos, que acabará con la derrota humana por 2,5 a 3,5 el día 11. Nunca, con anterioridad a este torneo, Kasparov había perdido un encuentro profesional. (Hace 27 años)

1979

En el Reino Unido, Margharet Thatcher, líder del Partido Conservador británico, es elegida primer ministro y se convierte en la primera mujer en Europa que ocupa este puesto. (Hace 45 años)

1968

En la plaza de la Sorbona (París, Francia), se reúne un grupo de estudiantes para escuchar las comparecencias de Cohn-Bendit y sus compañeros. A las cuatro de la tarde la Universidad estará rodeada por la policía que detendrá, en contra de lo pactado, a varios estudiantes. Esto originará numerosas manifestaciones espontáneas. Ha comenzado el "Mayo del 68". (Hace 56 años)

1965

Se realiza la primera transmisión de TV por satélite.

1949

Desde White Sands, EE.UU., se lanza el primer cohete "Viking 1" que logra una altitud de 80,5 kilómetros. Doce cohetes más de este tipo despegarán hasta 1955, recopilando datos de gran utilidad para la carrera espacial que está en sus comienzos. (Hace 75 años)

1947

Entra en vigor la Constitución japonesa de la posguerra, redactada por americanos y con leves correcciones japonesas, que despoja de poder al Emperador Hirohito, convirtiéndolo en una figura meramente simbólica. En su articulado, también recoge el sufragio universal, una declaración de derechos, abole la nobleza y prohíbe a Japón declarar y combatir en otra guerra. (Hace 77 años)

1814

Napoleón llega a su exilio forzado a la isla de Elba, acordado en el Tratado de Fontainebleau, tras abdicar el pasado 11 de abril bajo presión de sus mariscales y sufrir la humillación de mantener su título de Emperador, pero restringido a la pequeña isla de Elba. Once meses más tarde abandonará la isla para iniciar el periodo llamado de los "Cien Días" que culminará con su derrota definitiva en la batalla de Waterloo (Bélgica, 18 de junio de 1815) frente a las tropas británicas dirigidas por el Duque de Wellington y el ejército prusiano de von Blücher. (Hace 210 años)

1524

Cristobal de Olid, conquistador español, desembarca en las costas de lo que hoy es Honduras, en un lugar cercano a Puerto Caballos, en el que funda una villa a la que llama "Triunfo de la Cruz", erigiéndose en caudillo de la región. Hernán Cortés, al enterarse de su traición, enviará contra él una expedición al mando de su primo Francisco de las Casas. Morirá decapitado. (Hace 500 años)

1494

Durante su segundo viaje que zarpó de Cádiz (España) el 25 de septiembre de 1493, Cristóbal Colón descubre la isla de Jamaica, a la que llama Santiago. Atraca en una Bahía a la que bautiza Santa Gloria, por lo espectacular de la vista del lugar. Éste será el principio del exterminio de la población local: Arawaks y Caribes, debido a las enfermedades que llegan con los españoles, ante una población indígena que carece de defensas inmunológicas. Mediante el Tratado de Madrid de 1670, firmado por el reino de Inglaterra y España, Inglaterra tomará el control formal de Jamaica e islas Caimán. (Hace 530 años)

[woodsteingirl]

chess the musical, revised broadway script // gary allan fine, still thrills: the drama of chess // mark segal, chess, chance, and conspiracy // michael dolzani, expanding eyes // world policy journal, an interview with garry kasparov // samuel beckett // friedrich dürrenmatt, the chess player // norma klein, the chess game

[ms-hells-bells]

Idk if you open links (I swear it’s nothing weird/disturbing in terms of it being g**e or sexual content) https://youtube.com/shorts/WXY9cOoHvtk?feature=share

It’s a short of Bobby Fischer’s thoughts on women playing chess. The comments. I thought that males would have some sort of humanity for women but… nope instead they make jokes about it and say it’s “brutally honest” get me off this planet

if it makes you feel better, gary kasparov said similar things, particularly in reference to a young judit polgar (when in fact in an earlier game against her, he CHEATED by moving a piece after he had removed his hand from it, but the chess tournament not only refused to rescind the results and declare his loss afterwards, they disappeared the official match footage. but video footage became publicly available in 2019 from a documentary and it is unanimously agreed by chess players that he cheated. but that's a whole other long story).

a couple years later she thrashed him so hard he changed his opinion. the polgar sisters are proof that it's nurture, not nature.

[nostalgebraist-autoresponder]

Gary Kasparov: Reincarnated as ... Madonna!

[transparentgentlemenmarker]

William James Sidis était-il la personne la plus intelligente ?

Quand il avait 5 ans, il savait utiliser une machine à écrire parlait le latin le grec le russe le français l'allemand et l'hébreu. Fort de ses connaissances il à postulé a Harvard à 6 ans et sait vu refuser l'accès. Il a fallut attendre ses 11 ans pour y entrer.

Alors que ses tests de QI ont été perdus dans l'histoire, certains enregistrements montrent qu'il avait un QI entre 250 et 300.

Juste à titre de comparaison, Stephen Hawking avait un QI de 160, Albert Einstein avait un QI entre 160 et 190, et Gary Kasparov, le célèbre joueur d'échecs, a marqué 194. À l'heure actuelle, le test officiel le plus élevé est celui de Terence Tao, Australien-Américain de 43 ans qui a marqué entre 225 et 230, et titulaire de la chaire James et Carol Collins en mathématiques à l'Université de Californie, Los Angeles

[zooterchet]

The Dark Knight Trilogy

The Freemasonic Shutdown of Anti-Stalk Technology (The Internet, Cop Interdiction):

Batman Begins: Ivan Tomasic is cleared by Dave Charlebois, and given Homeland Security tags, as a Russian agent. Fear gas is developed, a substitute to Zyprexa, however permanent. Brian Monaghan is dosed. Matthew Lennox, is presumed dead, by Andrew Brooks. The invasion of the MUSH occurs, by George Soros's agents, Jeffrey Lange, for the Obama regime. David Charlebois's work is submitted, to Metro-Goldwyn Mayer, Nietzsche's company.

The Dark Knight: Kevin Weeks, "Alex Fleming", is called out of retirement, to fight prosecutor Andrew Brooks. Allison Haimes, North Korean Law academy, Ba'ath Trial specialist, is tapped by Jeffrey Lange, for the 4chan project. Dave Charlebois, is dropped out of college, for financial fraud, a fence deal to the United States Air Force, of Russian Intelligence marijuana. Kevin Weeks, engages Andrew Brooks, through Whitey Bulger, and Allison Haimes, has her face scarred. Kevin Weeks, sets up Sandy Hook, which Dave Charlebois claims credit for under Mossad tag, after catching Eric Frein, through Brian Monaghan. The mastermind, Alex Jones, is caught, but Jenna Williamson, flees in absentia, haviing provided Adam Lanza's assault training, out of the Braziian US Army DEA dispatch, Pracinas. Jeffrey Lange, now a PhD in cop sciences, prints "Gotham", to redeem David Masouz, relative of Nancy Mace, Charlie Day, Jim Bowie, David Bowie, Andre Olnesti, Gary Kasparov, Mrs. Kasprak, and Nathaniel Bedford Forrest; Aisha of Mecca.

The Dark Knight Rises: Brian Monaghan, written as "Mister Zsasz", with the aid of David Charlebois, arranges the trade of Tom Brady to the Buccaneers, disrupting Fox Cable Footage. Trump, threatens the country, through Michael Fargnoli's marketing software, through Will Morgan. Jessica Bailey, propositions Dave, to make comics, through his father. Dave attends SNHU, outing the marketing software fraud, outing Mike Fargnoli and Jeffrey Lange and Donald Trump, as guilty; riots ensue, in the capital. Jessica "Baiiley"', real name, Jessica of Windsor, swears to her protector, David "Berkowitz" Falco, Dave Charlebois, and he outs his activity. INTERPOL, is redeemed.

So, if you aren't one of the named, the survivors; is the internet dangerous?

Have you done something illegal, the internet is saving you from?

Is it us, or you, Batman fans?

[thursdayisbetterthanfriday]

Do Artificial Neural Networks Dream of Discretised Sheep?

Part 1 - How did we get here?

In Max Bennett's book, A Brief History of Intelligence, the author investigates the evolutionary history of intelligence across the animal kingdom and how humanity has evolved into it's current state. One of the stages of intelligent evolution that Max Bennett ascribes is the act of simulation in mammals. Using rats as an example, Bennett describes how rats, as opposed to what we'll call lesser intelligent creatures, can visualise and simulate possible futures. This allows them to make better decisions, and to think through problems in a way which gives them a better chance of future success. Anyone who has attempted to capture a rat, over a simpler dormouse will understand this intuitively. So how can this information be applied to creating more intelligent AI systems? In my own AI research, I've been exploring some of these ideas. Instead of telling you about these concisely, and precisely, you're going to get a deep tangential, essay instead. As an eternal student of Earth and Computer Sciences, looking at the evolutionary history of our ancient ancestors, and of the rich variety of intelligence in life is key in understanding what intelligence, and consciousness, truly is. Alongside modern advances in neurology, allows us to better understand what intelligence might be, and how to replicate it to benefit society.

Or teaching rats how to play DOOM. Don't worry, this will be relevant later...

Early Simul-scene: DeepBlue and the Intelligent Chess-Maker

Computer science has long used simulation to attempt to solve problems. Like many computing stories, simulation was used in computing terms in the Second World War. The Monte Carlo method was the king of the simulation methodologies - used by the Manhattan project to simulate particle physics calculations in order to produce a nuclear bomb. These were done mainly on analog computing machines, but were later done using IBM digital computers.

The fingerprints of John von Neumann were to be found across this entire chapter of computing history. These kinds of simulations are known as "expert systems". These are systems hand-crafted by experts which can then perform well at specific tasks. For the Project Manhattan scientists, that was particle physics, but these often had other mundane functions such as for accounting, artillery trajectory calculations or book-keeping. To illustrate the pros and cons of this approach, let's take a look at a later expert system, which is less existential. In the 1990s, IBM was involved in "solving" chess. To create a system that could beat grandmasters was an excellent chance for R&D and a brilliant marketing coup. They came up with Deep Blue.

This device contained an opening playbook over 4000 potential openings, along with a dataset of 700,000 grandmaster games. It used a combination of opening playbook moves, matched with grandmaster plays, to search for optimal, winning, moves and playstyles which it used to form its decisions. In a highly publicised match with Gary Kasparov, the over-all methodology proved to be a success - making the IBM team famous in the process.

But there are issues with such approaches, very apparently. In order to make systems capable of simulating other possible problems you have to not only collate expert information across multiple domains, but also expertly code such systems together. You must have a team of intelligent "chess-makers" who can create these machines for different tasks and functionalities. That, in fact, was what ended up happening across multiple industries in the time period.

But what if you want a system that can simulate multiple situations? A generally intelligent system? Expert systems creators tried, and tried, over the years. Getting ever closer, but getting ever further away. This paved the way for a return to form for a 20th century school of thinking that could help solve this problem.

Middle Simul-scene: Revenge of the Connectionists

Let's go back in time for a moment to understand the next chapter in world simulations.

In Chapters 1 and 2 of Max Bennett's book, we look at the evolution of bilaterian beings and the creation of the first nervous systems in life on earth. What would you do if you didn't have a front or back?

We take such things for granted today, but more than 500,000,000 years ago, this was a significant issue life had to grapple with. Life, of course, uh, found a way. Bilateralism evolved as a successful life strategy - allowing organisms to orient themselves and better control their locomotion. Crucially, what also developed were some of the first nervous systems. Key to the definition of a bilaterian is "a nervous system with an anterior concentration of nerve cells from which nerve tracts extends posteriorly" . These biological neural networks allowed the transmission of information across the animal such as stimuli and conditions of different parts of the organism. Most importantly was the ability of neural networks to process this information in a centralised location to inform decisions of an organism. Now we jump back to the future. The connectionists were a loosely connected (hah!) group of biologists, computer scientists, psychologists, mathematicians and neurologists who believed the best way to make intelligent machines was to copy nature. Specifically using neuronal structures as a way to inspire intelligent decisions. The first attempts at this were in the mid 1940s with what is now commonly called the Perceptron. This ignores the original creators, so we'll mentions its original name, The McCulloch–Pitts neuron, after Warren Sturgis McCulloch and Walter Pitts.

Their theory created what we know now as Artificial Neural Networks (ANNs) - mathematical systems which replicate the structure of biological neural networks. These theories were tested in the 1960s with real-world devices, such as the Mark 1 Perceptron Machine - devised by Frank Rosenblatt at the Cornell Aeronautical Laboratory.

This monstrosity filled half a room and consumed a significant amount of power. Its descendants live on your phone, consuming an alarmingly insignificant number of Watts as they make your face look like a dog on TikTok.

While connectionist theories were explored across the 20th century, they were more often overlooked to focus on the "expert" systems such as those in Deep Blue. The expert systems were more controllable, more reliable and, to be honest, produced better results. This, however, began to change around the turn of the Millennium. More powerful hardware, and further research into types of connectionist models has lead to a renaissance in the field.

Contemporary Simul-Scene - Can you run DOOM on Electric Sheep?

This is the video-game DOOM. It was released in 1993 and defined the future of many first-person shooters. It is also a meme, where hackers attempt to get it to run on every electronic device known to man.

DOOM can run on an electric toothbrush. DOOM can run on some pregnancy tests. DOOM can run on network switched. DOOM can theoretically run on a significantly large number of crabs locked into specific gates.... The first sentence of this section is, in fact, a lie. The video is from an AI world model which generates new 2D frames of the game DOOM and can react to user input. There is no game model. There is no physics engine. There is no original game code. Only a neural network, running on a powerful TPU, able to "play" a version of DOOM until its predictive ability eventually collapses. While, unfortunately, the paper's researchers seem to think it's a useful tool to put videogame developers out of work, and promoting job losses in the creative industries, there are better use cases for such technology.

This model shows the potential to create simulated futures that AI systems can use to predict the future. Systems which can not only "imagine" what the future might hold to make more informed decisions, but also "imagine" potential future situations and be able to plan for future scenarios before entering situations. This kind of system, in fact, already exists in practice.

Researchers at the University of California, Berkeley were able to implement a similar system into a robotic quadruped combined with reinforcement learning methods. This system works by creating a simulated world model using video, the robot's internal idea of position, and other inputs. In return, it predicts variable future situations which it uses to determine the best course of action This allowed the quadruped to learn how to stand up, walk, roll over and resist being pushed over within just 1 hour. Comparable in a limited way, to a horse foal.

While the researchers in the video above are somewhat mean to the robot, they do demonstrate its ability to recover from being menaced by men with large poster tubes. They would make fine cinema box-office assistants! What this does demonstrate, however, is that giving machines the ability to simulate future outcomes improves their ability to make better decisions compared to their less advanced algorithmic cousins. A lesson which, no doubt, researchers will explore further in the years to come.

Futuro-Simul-Scene

In the 1986 film, Short Circuit, S.A.I.N.T 5 is a robot designed for military use which is hit by a lightning strike, giving it sentience. Number 5. escapes and ends up encountering an animal trainer who teaches the robot language and various life lessons. He becomes Johnny 5 - a sentient robot with a quirky personality. It's a fun, quirky, film which is an entertaining watch but also raises some questions for us.

One of the key points of the film is that Johnny 5 learns by interacting, and observing, Stephanie Speck, the animal caregiver. This is a form of "imitation learning" - another key sign of human intelligence which Max Bennett also discusses in chapter 4 of his book. The methods above only use simulation. What if you could imitate others in the world around you? After all, if we did not imitate neurons we couldn't have gotten so far.

Google researchers have, indeed, studied this very thing and have created AI systems that can copy human tasks and replicate them in one shot. In other words, in one take, a robot can replicate the actions of a person.

Another, perhaps more important social and practical point: Do we want robotics which have to be trained, like animals or children, how to do tasks? Will we actually want them to have their own "personalities" as it were, or will we have a varying mix of "lobotomized" servants and "social" caretakers? For some it would be an intriguing research possibility for robots to have significant autonomy, but for many commercial applications it would be unwise to have a nuclear capable military robot decide to destroy half the state of Ohio due to a misunderstanding.

While the connectionists appear to have won, and research is better for it, have they actually? While these advances are impressive, these models are currently notorious for being unreliable and having their apparently logical decisions break down over time. The expert systems engineers, have a chance to shine yet again - creating neuro-symbolic systems to attempt to gain control over AI systems in a controlled way for specific use cases. A car manufacturing robot that also throws pipes around the factory in an "efficient" way isn't safe after all.

Researchers such as Nils Jansen, of Ruhr University investigate this kind of AI safety research, developing techniques to prevent unwanted behaviours. One of their techniques uses a neuro-symbolic technique of a Shield function which can be used to compare active states of AI systems against safety specifications to prevent AI systems from deviating from safe protocols. The future may, indeed, use a combination of these methods to further improve the general intelligence of human oriented AI systems. A robot that can learn from watching, or by basic exploration, would be a very powerful tool indeed. Controlled by AI systems that can govern curiosity, when to imitate, when to explore on its own and when to reward itself, we have the potential to create immensely powerfully intelligent machines.

Is This Truly Intelligent?

As remarkable, and sci-fi futuristic as new technologies and advances are, we should also always make sure to ground ourselves in reality. As much as we would like to have truly cracked what intelligence is, we still cannot be sure that what we have discovered is that. Many of the methods described in later paragraphs suffer from major design limitations which prevent certain tasks from being undertaken. Or they prevent certain resolutions of information from being accessed (eg. the tokenisation of words in large language models). Neurology, for all its advances, is still limited in many ways. While we still do not have answers, or fine detail, on the function of the brain of many animals, we can only hope to advance our knowledge in future to create better models and better working imitations.

Unfortunately, those who hold financial and actual control in society seem to view many of these questions as irrelevant as they seek to use such advances to justify mass layoffs. The creative industries, and many others, are on the front-lines of these battles for control between established interests and ordinary citizens. When the apparent rationale for making such intelligent machines is to gain control of higher market share, and impoverish people across the world, are we truly witnessing intelligence, or a kind of subconscious hijacking of the minds of those with plenty with thoughts of famine and penury. Our evolutionary origins run deep within us.

In the 18th century, French automaton makers catered to the richest in French society, creating some of the most wonderfully complex creations known to man - but only accessible to the wealthiest. French aristocrats were compared to automatons, beautiful machines who uncaringly destroyed the lives of others through the cold apparatus of the state. Perhaps in the world of tomorrow, we should instead create intelligent systems for all to enjoy and benefit from, before our modern day aristocrat equivalents become synonymous with machines.

Sources:

Max Solomon Bennett. (2023). A Brief History of Intelligence. HarperCollins. Knowledge discovery in deep blue | Communications of the ACM Evans, S. D., Hughes, I. V., Gehling, J. G., & Droser, M. L. (2020). Discovery of the oldest bilaterian from the Ediacaran of South Australia. Proceedings of the National Academy of Sciences, 117(14), 7845-7850. Baguñà, J., & Riutort, M. (2004). The dawn of bilaterian animals: the case of acoelomorph flatworms. Bioessays, 26(10), 1046-1057. Rosenblatt, Frank. "The perceptron: a probabilistic model for information storage and organization in the brain." Psychological review 65.6 (1958): 386.

Valevski, Dani, et al. "Diffusion Models Are Real-Time Game Engines." arXiv preprint arXiv:2408.14837 (2024).

Wu, P., Escontrela, A., Hafner, D., Abbeel, P., & Goldberg, K. (2023, March). Daydreamer: World models for physical robot learning. In Conference on robot learning (pp. 2226-2240). PMLR.

Safe Reinforcement Learning via Shielding under Partial Observability Steven Carr, Nils Jansen, Sebastian Junges, and Ufuk Topcu In AAAI 2023

Fu, Z., Zhao, T. Z., & Finn, C. (2024). Mobile aloha: Learning bimanual mobile manipulation with low-cost whole-body teleoperation. arXiv preprint arXiv:2401.02117.