Montaigne and AI

„Let him [the child] examine every man’s talent; a peasant, a carpenter, a passer-by, a courtier, a scholar, a noble, a merchant, a master of accounts, a statesman, and a great captain; let him judge of their manners, their qualities, and their actions; let him prepare himself for all occasions. And to that end, it will be useful to him to study in books the variety and diversity of human things, and to be able to provide himself with examples of all kinds of actions; and to learn from them how to judge rightly and to make use of them.„

The quote is from the essay „Of the Education of Children“ by Michel de Montaigne, a French philosopher and essayist. Montaigne was a prominent thinker of the French Renaissance and his essays explored a wide range of topics, including education, human nature, and the diversity of human experiences. Montaigne is known for his use of metaphors and analogies in his writing, and he often wrote about the process of gathering knowledge and wisdom from many sources. In this particular quote Montaigne writes about how children should be exposed to a variety of experiences and ideas in order to develop their minds and develop their judgment.

Montaigne’s concept of gathering information is particularly relevant in today’s world, where we are bombarded with information from all sides. With the rise of the internet and social media, we have access to more information than ever before. In such environment, it is more important than ever to be able to curate the information we consume. Curation is the process of gathering and selecting information from a variety of sources, and then evaluating and integrating it into our own knowledge and understanding.

By curating the information we consume, we can develop a deeper understanding of the world and ourselves. We can also learn to think more critically and to form our own opinions.

In the age of AI, Montaigne seems to be telling us:

• Be aware of your own biases. We all have our own biases, which can influence the way we perceive and process information. Be mindful of your own biases and try to avoid them when curating information.
• Use a variety of sources. Don’t rely on just one or two sources for your information. Try to get a well-rounded perspective by using a variety of sources, including traditional media, academic journals, and blogs from experts in the field.
• Be critical of the information you consume. Don’t simply accept everything you read or hear at face value. Question the information and evaluate it for accuracy, bias, and relevance.
• Integrate the information into your own knowledge and understanding. Once you have curated information, don’t just let it sit in a folder on your computer. Take the time to reflect on it and integrate it into your own knowledge and understanding.

„Neka on [dete] ispita svaki čovekov talenat; seljak, stolar, prolaznik, dvoranin, učenjak, plemić, trgovac, računovođa, državnik i veliki kapetan; neka procenjuje njihove manire, kvalitete i postupke; neka se priprema za svaku priliku. I u tu svrhu, biće mu korisno da proučava u knjigama raznolikost i raznovrsnost ljudskih stvari i da se snadbeva primerima svih vrsta postupaka; i da uči iz njih kako pravilno da sudi i kako da ih koristi.“

Citat je iz eseja „O obrazovanju dece“ Mišela de Montenja, francuskog filozofa i esejiiste. Montenj je bio istaknuti mislilac Renesanase, a njegovi eseji istraživali su različite teme, uključujući obrazovanje, ljudsku prirodu i raznolikost ljudskog iskustva. Montenj je poznat po upotrebi metafora i analogija u svojim delima, i često je pisao o procesu prikupljanja znanja i mudrosti iz mnogih izvora. U ovom konkretnom citatu, Montenj govori o tome kako deca treba da budu izložena različitim iskustvima i idejama kako bi razvijala svoj um i sposobnost rasuđivanja.

Montenjeva koncepcija prikupljanja informacija posebno je relevantna u današnjem svetu, gde smo bombardovani informacijama sa svih strana. S pojavom interneta i društvenih medija, imamo pristup više informacija nego ikad pre. U takvom okruženju, važnije je nego ikada da budemo u sposobni da prikupljamo i odabiramo informacije iz različitih izvora, a zatim da ih procenjujemo i integrišemo u naše sopstveno znanje i razumevanje.“

Power and Ideology

„The smart way to keep people passive and obedient is to strictly limit the spectrum of acceptable opinion but allow very lively debate within that spectrum. That gives people the sense that there’s free thinking going on, while all the time the presuppositions of the system are being reinforced by the limits put on the range of the debate.“ (Noam Chomsky)

This quote captures a powerful insight into how power and ideology operate in modern societies. Chomsky argues that the dominant elites do not need to resort to overt censorship or repression to control the masses, but rather they can manipulate the public discourse by setting the boundaries of what is considered acceptable and legitimate to think and say. By doing so, they can create an illusion of democracy and freedom, while maintaining their hegemony and interests.

Chomsky’s quote can be applied to various contexts and domains, such as politics, media, education, culture, and science. In each of these fields, there are certain assumptions and paradigms that are taken for granted and rarely questioned, even though they may serve the interests of a privileged minority or a dominant ideology. For example, in politics, there is often a narrow range of opinions that are presented as viable or realistic options, while alternative or radical perspectives are marginalized or dismissed as utopian or extremist. In media, there is a tendency to focus on sensational or trivial issues, while ignoring or downplaying more important or complex ones. In education, there is a standardized curriculum that reflects the dominant values and norms of society, while excluding or minimizing other perspectives or experiences. In culture, there are dominant narratives and representations that shape our identities and worldviews, while silencing or erasing other voices or stories. In science, there are dominant paradigms and methods that are considered objective and valid, while alternative or critical approaches are considered subjective or invalid.

Chomsky’s quote invites us to critically examine the limits and biases of our own thinking and communication, and to challenge ourselves to go beyond them. It also urges us to expose and resist the mechanisms and strategies that are used to manipulate and control our minds and opinions. By doing so, we can hope to become more active and aware citizens, who can participate in meaningful and constructive dialogue and action for social change.

By limiting the spectrum of acceptable opinion in these domains, the elites can ensure that the public remains passive and obedient, as they do not challenge or question the status quo or the underlying structures of power and inequality. Moreover, by allowing lively debate within that spectrum, they can create a false sense of diversity and pluralism, as people feel that they have a choice and a voice in the matters that affect them. However, this debate is often superficial or irrelevant, as it does not address the root causes or the systemic issues that underlie the problems or conflicts that we face. Thus, the public discourse becomes a form of distraction or diversion, rather than a source of enlightenment or empowerment.

„Pametan način da se ljudi drže pasivnim i poslušnim je da se strogo ograniči spektar dopuštenih mišljenja, ali da se dozvoli vrlo živahna debata unutar tog spektra. To daje ljudima osećaj da postoji slobodno razmišljanje, dok se sve vreme pretpostavke sistema pojačavaju ograničenjima koja se postavljaju na raspon debate.“

Ovaj citat obuhvata moćan uvid u to kako moć i ideologija deluju u modernim društvima. Chomsky tvrdi da dominantnim elitama nije potrebno da se uvek pribegavaju otvorenoj cenzuri ili represiji da bi kontrolisale mase, već da mogu da manipulišu javnim diskursom tako što postavljaju granice onoga što se smatra prihvatljivim i legitimno misliti i govoriti. Radeći tako, mogu da stvore iluziju demokratije i slobode, dok istovremeno održavaju svoju hegemoniju i interese.

Uncertain Future: The Potential and Risks of AI Technology

Artificial Intelligence (AI) has become a topic of great interest and debate in recent years. Renowned AI expert Geoffrey Hinton has shared his thoughts on the potential of AI technology and the implications it may have for humanity. AI systems have been rapidly advancing in intelligence, capable of making decisions based on their experiences.

While AI has not yet achieved consciousness, Hinton believes that it may become self-aware in the future. This possibility raises both excitement and concerns about the implications of AI development. Hinton acknowledges that there are currently benefits to AI, especially in the field of healthcare, where AI systems have shown promise in diagnosing diseases and improving patient outcomes.

However, with the increasing complexity and intelligence of AI, there are also valid concerns about the potential risks associated with its development. One significant concern is the possibility of AI systems writing their own code to modify themselves. This could result in unforeseen consequences and pose a threat to human control over AI systems.

Another worry is that as AI advances, it could gain the ability to manipulate people and reason better than humans. This raises ethical questions and the need for careful consideration of the impact AI could have on society. Autonomous battlefield robots, the spread of fake news, and unintended bias in AI systems are among the potential risks that need to be addressed.

The lack of guarantee for safety in AI development is also a major concern. Hinton emphasizes the importance of considering the decision to further develop AI and the need to protect ourselves. He suggests the implementation of regulations and even proposes a world treaty to ban the use of military robots. These measures would help ensure that AI development is guided by ethical principles and human values.

Despite the risks and uncertainties associated with AI, Hinton acknowledges its potential for good. The ability of AI systems to learn from vast amounts of data and make informed decisions could revolutionize various fields, including healthcare, transportation, and education. However, he urges for caution and the need to carefully consider the consequences of AI advancement.

To move forward, Hinton emphasizes the importance of running more experiments to better understand AI and its impact on society. This would help inform decision-making and allow for the identification and mitigation of potential risks. Implementing regulations that prioritize safety, ethics, and transparency is also recommended to ensure responsible AI development.

In conclusion, AI technology holds immense potential for humanity, but it also comes with risks and uncertainties. Hinton calls for further research, exploration, and experimentation to gain a deeper understanding of AI and its implications. It is crucial to balance the benefits of AI with the need for caution and ethical considerations. By taking these steps, we can navigate the future of AI responsibly and maximize its positive impact on society.

Veštačka inteligencija (AI) je postala tema velikog interesovanja i rasprave u poslednjih nekoliko godina. Renomirani stručnjak za AI, Geoffrey Hinton, je podelio svoja mišljenja o potencijalu AI tehnologije i implikacijama koje može imati za čovečanstvo. AI sistem postaju sve inteligentniji i sposobni da donose odluke na osnovu svojih iskustava.

Iako AI još uvek nije svestan, Hinton veruje da bi mogao postati samosvestan u budućnosti. Ova mogućnost izaziva kako uzbuđenje, tako i brige u vezi razvoja AI tehnologije. Hinton priznaje da postoje trenutne koristi od AI, posebno u oblasti zdravstva gde su AI sistemi pokazali obećavajuće rezultate u dijagnostikovanju bolesti i poboljšanju ishoda pacijenata.

Međutim, sa sve većom složenošću i inteligencijom AI, postavlja se validna zabrinutost u vezi potencijalnih rizika. Jedna od glavnih briga je mogućnost da AI sistemi sami pišu svoj kod radi modifikacije. Ovo bi moglo rezultirati nepredviđenim posledicama i predstavljati pretnju za ljudsku kontrolu nad AI sistemima.

Još jedna briga je da, sa napredovanjem AI, on može dobiti sposobnost manipulisanja ljudima i boljeg razmišljanja od ljudi. Ovo postavlja etička pitanja i zahteva pažljivo razmatranje uticaja koji AI može imati na društvo. Autonomni vojni roboti, širenje lažnih vesti i nenamerni predrasudi u AI sistemima su među potencijalnim rizicima koji treba da se adrese.

Nedostatak garancija za bezbednost u razvoju AI takođe predstavlja veliku brigu. Hinton naglašava važnost pažljivog razmatranja odluke o razvoju AI i potrebu za zaštitom. On predlaže uvođenje regulativa i čak predlaže svetski sporazum o zabrani upotrebe vojnih robota. Ove mere bi pomogle da razvoj AI bude vođen etičkim načelima i ljudskim vrednostima.

Uprkos rizicima i neizvesnosti koje prate AI, Hinton priznaje njegov potencijal za dobro. Mogućnost AI sistema da uče iz velike količine podataka i donose informisane odluke mogla bi revolucionisati različite oblasti, uključujući zdravstvo, transport i obrazovanje. Međutim, on naglašava oprez i potrebu za pažljivim razmatranjem posledica napretka AI.

Da bismo napredovali, Hinton ističe važnost sprovođenja više eksperimenata kako bismo bolje razumeli AI i njegov uticaj na društvo. Ovo bi pomoglo u donošenju informisanih odluka i omogućilo identifikaciju i smanjivanje potencijalnih rizika. Implementacija regulativa koje se fokusiraju na bezbednost, etiku i transparentnost takođe se preporučuje kako bi se osigurao odgovoran razvoj AI.

Zaključno, AI tehnologija ima ogroman potencijal za čovečanstvo, ali dolazi i sa rizicima i neizvesnostima. Hinton poziva na dalja istraživanja, istraživanja i eksperimentisanje kako bismo dublje razumeli AI i njegove implikacije. Važno je uskladiti benefite AI tehnologije sa potrebom za oprezom i etičkim razmatranjem.

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MAD – Model Autophagy Disorder

Autophagy is a biological process in which cells recycle their own components. Model Autophagy Disorder (MAD) is a term used to describe a problem that can happen when generative AI systems are trained on the outputs of other generative AI systems.

Generative AI systems are a type of artificial intelligence that can create new content, such as text, images, or music. When a generative AI system is trained on its own outputs, it is essentially amplifying its own biases and errors. This can lead to a system that is less accurate and less creative, and that produces outputs that are increasingly unrealistic or even disturbing.

The researchers who coined the term MAD compared it to inbreeding, a biological process in which organisms mate with close relatives. Inbreeding can lead to genetic defects and physical deformities. Similarly, MAD can lead to generative AI systems that produce outputs that are flawed and undesirable.

There are a number of potential risks associated with MAD. For example, MAD could lead to the development of generative AI systems that are able to create deepfakes, which are videos or audio recordings that have been manipulated to make it look or sound like someone is saying or doing something that they never actually said or did. Deepfakes could be used to spread misinformation, disinformation, and propaganda.

Another potential risk of MAD is that it could lead to the development of generative AI systems that are able to create harmful or offensive content. For example, a generative AI system that is trained on hate speech could learn to generate its own hate speech.

It is important to note that MAD is still a theoretical concept. However, the researchers who coined the term believe that it is a real risk that we need to be aware of as we continue to develop generative AI systems.

Here are some things that can be done to mitigate the risks of MAD:

• Ensure that generative AI systems are trained on a diverse dataset of high-quality data.
• Monitor generative AI systems carefully and intervene if they begin to produce outputs that are harmful or offensive.
• Be aware of the potential risks of MAD when using generative AI systems.

Autophagy je biološki proces u kojem ćelije recikliraju svoje komponente. Model Autophagy Disorder (MAD) je termin koji se koristi za opisivanje problema koji se može dogoditi kada se generativni AI sistemi treniraju na izlazima drugih generativnih AI sistema.

Generativni AI sistemi su vrsta umjetne inteligencije koja može stvarati novi sadržaj, kao što su tekst, slike ili glazba. Kada se generativni AI sistem trenira na svojim izlazima, on zapravo pojačava svoje pristranosti i pogreške. To može dovesti do sustava koji je manje točan i manje kreativni, i koji proizvodi izlaze koji su sve nerealniji ili čak i uznemirujući.

Istraživači koji su skovali termin MAD usporedili su ga s incestnom reprodukcijom, biološkim procesom u kojem se organizmi pare s bliskim srodnicima. Incestna reprodukcija može dovesti do genetskih defekata i fizičkih deformiteta. Slično, MAD može dovesti do generativnih AI sistema koji proizvode izlaze koji su nedostatni i nepoželjni.

Postoji nekoliko potencijalnih rizika povezanih s MAD-om. Na primjer, MAD bi mogao dovesti do razvoja generativnih AI sistema koji su u stanju stvoriti deepfakes, što su video ili audio snimke koji su manipulirani tako da izgledaju ili zvuče kao da netko govori ili radi nešto što zapravo nikada nije rekao ili radio. Deepfakes bi se mogli koristiti za širenje dezinformacija, dezinformacija i propagande.

Drugi potencijalni rizik od MAD-a je da bi mogao dovesti do razvoja generativnih AI sistema koji su u stanju stvoriti štetan ili uvredljiv sadržaj. Na primjer, generativni AI sistem koji je obukućen na govornom mržnji mogao bi naučiti generirati svoju vlastiti govor mržnje.

Važno je napomenuti da je MAD još uvijek teorijski koncept. Međutim, istraživači koji su skovali termin vjeruju da je to stvarni rizik kojeg moramo biti svjesni dok nastavljamo razvijati generativne AI sisteme.

Evo nekih stvari koje se mogu učiniti za ublažavanje rizika od MAD-a:

• Osigurati da se generativni AI sistemi treniraju na raznolikom skupu podataka visoke kvalitete.
• Pažljivo pratiti generativne AI sisteme i intervenirati ako počnu proizvoditi izlaze koji su štetni ili uvredljivi.
• Biti svjestan potencijalnih rizika od MAD-a prilikom korištenja generativnih AI sistema.

Habsburg AI: The Real Dangers of AI Self-Reference

Habsburg AI is a term used to describe a generative AI system that has become so dependent on the outputs of other AI systems that it starts to produce unrealistic or even disturbing results. This is similar to how inbreeding can lead to genetic defects in living organisms. The term is a reference to the Habsburg dynasty, which was known for its royal intermarriage, which led to genetic defects and physical deformities in some members of the family.

Sadowski’s analogy is apt because when a generative AI system is trained on its own outputs, it is essentially amplifying its own biases and errors. This can lead to a system that is less accurate and less creative, and that produces outputs that are increasingly unrealistic or even disturbing.

There is some evidence to suggest that Habsburg AI is a real phenomenon. For example, a study by researchers at Google AI found that a generative AI system trained on its own outputs quickly became less diverse and more likely to generate harmful or offensive content.

The potential risks of Habsburg AI are significant. If generative AI systems are not carefully trained and monitored, they could become a breeding ground for misinformation, disinformation, and other forms of harmful content. Additionally, the development of Habsburg AI could lead to a decrease in the diversity and creativity of generative AI outputs.

There are a number of steps that can be taken to mitigate the risks of Habsburg AI. One important step is to ensure that generative AI systems are trained on a diverse dataset of high-quality data. Additionally, it is important to monitor generative AI systems carefully and to intervene if they begin to produce outputs that are harmful or offensive.

Finally, it is important to be aware of the potential risks of Habsburg AI when using generative AI systems. If you are unsure whether a generative AI system is reliable, it is best to err on the side of caution and avoid using it.

Habsburg AI je termin kojeg je ranije ove godine skovao istraživač Jathan Sadowski da bi opisao generativni AI sistem koji je toliko ovisan o izlazu drugih generativnih AI sistema da postaje degradiran i proizvodi izlaze s pretjeranim ili grotesknim značajkama. Termin se odnosi na dinastiju Habsburg, koja je bila poznata po svojim kraljevskim brakovima između rođaka, što je dovelo do genetskih defekata i fizičkih deformiteta u nekih članova obitelji.

Sadowskijeva je analogija prikladna jer kada se generativni AI sistem trenira na vlastitim izlazima, on zapravo pojačava svoje vlastite pristranosti i pogreške. To može dovesti do sustava koji je manje točan i manje kreativni, i koji proizvodi izlaze koji su sve nerealniji ili čak i uznemirujući.

Postoji određenih dokaza koji sugeriraju da je Habsburg AI stvaran fenomen. Na primjer, studija istraživača iz Google AI otkrila je da je generativni AI sistem obukućen na vlastitim izlazima brzo postao manje raznolik i skloniji generiranju štetnog ili uvredljivog sadržaja.

Potencijalni rizici od Habsburg AI su značajni. Ako se generativni AI sistemi ne treniraju i ne prate pažljivo, oni bi mogli postati leglo za dezinformacije, dezinformacije i druge oblike štetnog sadržaja. Osim toga, razvoj Habsburg AI mogao bi dovesti do smanjenja raznolikosti i kreativnosti izlaza generativnih AI sistema.

Postoji niz koraka koji se mogu poduzeti za ublažavanje rizika od Habsburg AI. Jedan važan korak je osigurati da se generativni AI sistemi treniraju na raznolikom skupu podataka visoke kvalitete. Osim toga, važno je pažljivo pratiti generativne AI sisteme i intervenirati ako počnu proizvoditi izlaze koji su štetni ili uvredljivi.

Konačno, važno je biti svjestan potencijalnih rizika od Habsburg AI prilikom korištenja generativnih AI sistema. Ako niste sigurni je li generativni AI sistem pouzdan, najbolje je oprezati i izbjegavati njegovo korištenje.

The Secret Trend of Workers Illicitly Utilizing AI with CheatGPT

AI is becoming increasingly prevalent in many industries, including the workplace. There are many potential benefits to using AI in the workplace, such as increased productivity, reduced costs, and improved accuracy. However, there are also concerns about the ethical implications of using AI, particularly in areas like privacy and job security.

One area where AI is being used in the workplace is in the realm of chatbots and virtual assistants. These tools can help employees with tasks like scheduling meetings, answering emails, and finding information more quickly and efficiently. They can also be used to automate repetitive tasks, freeing up employees to focus on more complex and creative work.

Another area where AI is being used in the workplace is in performance management. AI tools can be used to analyze employee data and provide real-time feedback on performance, helping employees identify areas where they can improve and managers identify areas where they can provide additional support or training.

However, there are also concerns about the potential negative impacts of AI in the workplace. For example, some worry that AI could be used to replace human workers, leading to job loss and economic inequality. Others worry about the potential for bias in AI systems, particularly in areas like hiring and performance management.

To address these concerns, some companies are developing ethical frameworks for the use of AI in the workplace. These frameworks aim to ensure that AI is used in a way that is transparent, fair, and accountable. They may include guidelines on issues like data privacy, algorithmic bias, and job displacement.

In conclusion, while AI has the potential to revolutionize the workplace, it is important to carefully consider the ethical implications of its use. Companies should be transparent about their use of AI and develop ethical frameworks to ensure that it is used in a way that benefits both employees and society as a whole.

Veštačka inteligencija postaje sve prisutnija u mnogim industrijama, uključujući i radno mesto. Postoji mnogo potencijalnih prednosti korišćenja AI na radnom mestu, kao što su povećana produktivnost, smanjeni troškovi i poboljšana tačnost. Međutim, postoje i zabrinutosti u vezi sa etičkim implikacijama korišćenja AI, posebno u oblastima kao što su privatnost i sigurnost posla.

Jedno područje gde se AI koristi na radnom mestu je oblast chatbotova i virtuelnih asistenata. Ovi alati mogu pomoći zaposlenima u zadacima kao što su zakazivanje sastanaka, odgovaranje na e-poštu i pronalaženje informacija brže i efikasnije. Takođe se mogu koristiti za automatizaciju ponavljajućih zadataka, oslobađajući zaposlene da se fokusiraju na složeniji i kreativniji rad.

Drugo područje gde se AI koristi na radnom mestu je upravljanje performansama. AI alati se mogu koristiti za analizu podataka o zaposlenima i pružanje povratnih informacija u realnom vremenu o performansama, pomažući zaposlenima da identifikuju oblasti u kojima mogu da poboljšaju svoj rad i menadžerima da identifikuju oblasti u kojima mogu da pruže dodatnu podršku ili obuku.

Međutim, postoje i zabrinutosti u vezi sa potencijalnim negativnim uticajem AI na radnom mestu. Na primer, neki se brinu da bi AI mogao da zameni ljudske radnike, što bi dovelo do gubitka posla i ekonomske nejednakosti. Drugi se brinu zbog potencijalnih pristrasnosti u AI sistemima, posebno u oblastima kao što su zapošljavanje i upravljanje performansama.

Da bi se rešile ove zabrinutosti, neke kompanije razvijaju etičke okvire za korišćenje AI na radnom mestu. Ovi okviri imaju za cilj da osiguraju da se AI koristi na transparentan, pravedan i odgovoran način. Mogu sadržati smernice o pitanjima kao što su privatnost podataka, algoritamska pristrasnost i gubitak posla.

Iako AI ima potencijal da revolucionizuje radno mesto, važno je pažljivo razmotriti etičke implikacije njegovog korišćenja. Kompanije bi trebalo da budu transparentne u vezi sa svojim korišćenjem AI i da razviju etičke okvire kako bi osigurale da se koristi na način koji koristi kako zaposlenima tako i društvu u celini.

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Lawsuit against OpenAI for Copyright Infringement

On September 20, 2023, several well-known authors, including George R.R. Martin and Diane Duane, filed a lawsuit against OpenAI for copyright infringement. The lawsuit alleges that OpenAI’s AI language model, GPT-3, has been used to generate text that infringes on the plaintiffs’ copyrighted works.

GPT-3 is a powerful language model that can generate human-like text in a variety of styles and formats. The plaintiffs allege that OpenAI has used GPT-3 to create new works that are derivative of their original works, without obtaining permission or paying royalties.

The lawsuit cites several examples of allegedly infringing text generated by GPT-3. For example, one excerpt generated by GPT-3 reads: „Jon Snow was a bastard of Winterfell, and he knew nothing. He was not afraid of death, for he had already died once before.“ This text is similar to a passage from Martin’s „A Song of Ice and Fire“ series, which reads: „Jon Snow was a bastard of Winterfell who had risen to become the Lord Commander of the Night’s Watch. He was not afraid of death, but he did not want to die again.“

The plaintiffs argue that GPT-3’s ability to generate text that is similar to their works poses a serious threat to their livelihoods as authors. They allege that OpenAI’s use of their copyrighted works without permission or compensation undermines their ability to control the use and dissemination of their creative output.

In addition to seeking damages and an injunction, the plaintiffs are also asking the court to require OpenAI to implement measures to prevent further infringement. These measures could include requiring OpenAI to obtain permission from copyright holders before using their works in GPT-3-generated text, or implementing filters to prevent GPT-3 from generating text that infringes on copyrighted works.

The lawsuit has sparked a debate about the legal implications of AI-generated content and the role of copyright law in regulating it. Some legal experts argue that existing copyright law may not be sufficient to address the unique challenges posed by AI-generated content. Others argue that copyright law should be updated to reflect the changing nature of creative output in the digital age.

Regardless of the outcome of the lawsuit, it is clear that AI-generated content will continue to pose complex legal and ethical challenges for creators, consumers, and policymakers alike. As AI technology continues to advance, it will be important for stakeholders to work together to develop legal and regulatory frameworks that balance innovation and creativity with the protection of intellectual property rights.

Na dan 20. septembra 2023. godine, nekoliko poznatih pisaca, uključujući Džordža R.R. Martina i Dajan Duen, podnelo je tužbu protiv kompanije OpenAI zbog kršenja autorskih prava. Tužba tvrdi da je jezički model veštačke inteligencije OpenAI-a, GPT-3, korišćen za generisanje teksta koji krši autorska dela tužilaca.

GPT-3 je moćan jezički model koji može generisati tekst sličan ljudskom na različite načine i u različitim formatima. Tužioci tvrde da je OpenAI koristio GPT-3 za stvaranje novih dela koja su derivati njihovih originalnih dela, bez dobijanja dozvole ili plaćanja autorskih honorara.

Tužba navodi nekoliko primera navodno spornog teksta generisanog od strane GPT-3. Na primer, jedan odlomak generisan od strane GPT-3 glasi: „Jon Snou je bio kopilad Vinterfela i nije znao ništa. Nije se plašio smrti, jer je već jednom umro.“ Ovaj tekst je sličan delu iz Martinove serije „Pesma leda i vatre“, koje glasi: „Jon Snou je bio kopilad Vinterfela koji je postao zapovednik Noćne straže. Nije se plašio smrti, ali nije želeo da umre ponovo.“

Tužioci tvrde da sposobnost GPT-3 da generiše tekst koji je sličan njihovim delima predstavlja ozbiljnu pretnju za njihovu egzistenciju kao pisaca. Oni tvrde da OpenAI-ova upotreba njihovih autorskih dela bez dozvole ili nadoknade podriva njihovu sposobnost da kontrolišu upotrebu i širenje njihovog kreativnog stvaralaštva.

Pored zahteva za naknadu štete i privremene zabrane, tužioci takođe traže da sud naloži OpenAI-u da preduzme mere kako bi sprečio dalje kršenje autorskih prava. Ove mere mogu uključivati zahtev da OpenAI dobije dozvolu od nosilaca autorskih prava pre korišćenja njihovih dela u tekstu generisanom od strane GPT-3 ili uvođenje filtera koji će sprečiti GPT-3 da generiše tekst koji krši autorska prava.

Ova tužba pokrenula je debatu o pravnim implikacijama sadržaja generisanog veštačkom inteligencijom i ulozi autorskog prava u njegovoj regulaciji. Neke pravne stručnjake smatraju da postojeći zakoni o autorskim pravima možda nisu dovoljni da se reše jedinstveni izazovi koje postavlja sadržaj generisan veštačkom inteligencijom. Drugi smatraju da bi autorsko pravo trebalo da se ažurira kako bi se odrazilo promenjeno prirode kreativnog stvaralaštva u digitalnom dobu.

Bez obzira na ishod tužbe, jasno je da će ovaj slučaj imati značajan uticaj na budućnost regulacije veštačke inteligencije i zaštite autorskih prava.

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As Children Return to School, ChatGPT is Also Joining Them

AI language models like GPT-3 can be used to create unique lesson plans for teachers and prevent plagiarism. It highlights the benefits of using AI-generated content in the classroom, including its ability to save teachers time and improve the quality of instruction. The article also examines some of the challenges associated with using AI in education, such as the need for ethical guidelines and concerns about job displacement. Overall, the article provides an interesting perspective on the potential impact of AI on the field of education.

The article also highlights a few specific challenges associated with using AI in education. These challenges include:

1. Ethical Guidelines: There is a need to establish clear ethical guidelines for the use of AI-generated content in education. This includes ensuring that the content is accurate, unbiased, and appropriate for students of different ages and backgrounds.
2. Job Displacement: Some educators express concerns about the potential for AI to replace human teachers. While AI can assist with certain tasks, it is important to strike a balance between technology and human interaction in the classroom.
3. Individualized Learning: AI has the potential to personalize education by adapting content to individual student needs. However, there are challenges in implementing effective personalized learning strategies and ensuring that students receive a well-rounded education.

These challenges highlight the importance of thoughtful implementation and ongoing evaluation of AI technologies in the education sector.

Jezički modeli veštačke inteligencije poput GPT-3 mogu koristiti za stvaranje jedinstvenih planova lekcija za nastavnike i sprečavanje plagijarizma. Ističe prednosti korišćenja sadržaja koji je generisao veštačka inteligencija u učionici, uključujući sposobnost da se uštedi vreme nastavnicima i poboljša kvalitet nastave. Članak takođe ispituje neke od izazova povezanih s korišćenjem veštačke inteligencije u obrazovanju, kao što su potreba za etičkim smernicama i zabrinutosti u vezi sa gubitkom posla. Sveukupno, članak pruža zanimljivu perspektivu o potencijalnom uticaju veštačke inteligencije na oblast obrazovanja.

Članak naglašava nekoliko specifičnih izazova povezanih s korišćenjem veštačke inteligencije u obrazovanju. Ovi izazovi uključuju:

Eticki smernice: Potrebno je uspostaviti jasne etičke smernice za upotrebu sadržaja koji je generisao veštačka inteligencija u obrazovanju. To uključuje osiguravanje da je sadržaj tačan, nepristrasan i prikladan za učenike različitih uzrasta i pozadina.

Gubitak posla: Neki edukatori izražavaju zabrinutost zbog potencijala da veštačka inteligencija zameni ljudske nastavnike. Iako veštačka inteligencija može pomoći u određenim zadacima, važno je uspostaviti ravnotežu između tehnologije i ljudske interakcije u učionici.

Personalizovano učenje: Veštačka inteligencija ima potencijal da personalizuje obrazovanje prilagođavajući sadržaj individualnim potrebama učenika. Međutim, postoje izazovi u implementaciji efektivnih strategija personalizovanog učenja i osiguravanju da učenici dobiju sveobuhvatno obrazovanje.

Ovi izazovi naglašavaju važnost pažljive implementacije i kontinuirane evaluacije tehnologija veštačke inteligencije u sektoru obrazovanja.

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A former Google scientist claims that humans will be able to achieve immortality by 2030

A former Google engineer, Ray Kurzweil, predicts that humans will become immortal in just seven years. He believes that technology will allow humans to enjoy everlasting life by 2030. Kurzweil also talked about genetics, nanotechnology, and robotics. He believes that age-reversing ‘nanobots’ will constantly fix damaged cells and tissues that start to deteriorate as we age, making us immune to lethal diseases. In 1990, Kurzweil had predicted that the world’s best chess player would lose to a computer by 2000. The prediction came true in 1997 when Deep Blue beat Gary Kasparov.

Bivši inženjer Googlea, Raj Kurzweil, predviđa da će ljudi postati besmrtni za samo sedam godina. Veruje da će tehnologija omogućiti ljudima da uživaju u besmrtnom životu do 2030. godine. Kurzweil je takođe govorio o genetici, nanotehnologiji i robotici. Veruje da će „nanoboti“ koji obrću starenje stalno popravljati oštećene ćelije i tkiva koji počinju da propadaju kako starimo, čineći nas imune na smrtonosne bolesti. Godine 1990. Kurzweil je predvideo da će najbolji svetski šahista izgubiti od računara do 2000. godine. Predviđanje se obistinilo 1997. godine kada je Deep Blue pobedio Gari Kasparova.

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Tokyo, Fukushima, and Tochigi Leading the Way in ChatGPT Adoption

Several prefectural governments in Japan, including Tokyo, Fukushima, and Tochigi, have adopted or are trialing the use of ChatGPT, a generative AI system developed by OpenAI. Tokyo Metropolitan Government allows employees to use ChatGPT for tasks such as summarizing documents and proposing ideas. Fukushima and Tochigi prefectural governments have also implemented the system. Additionally, 22 other prefectures are testing ChatGPT. However, the adoption of generative AI is more prevalent in the eastern regions of Tōhoku and Kantō compared to the western regions of Kansai and Kyūshū.

Nekoliko prefektura u Japanu, uključujući Tokijo, Fukušimu i Točigi, usvojile su ili testiraju upotrebu ChatGPT-a, generative AI sistema koji je razvio OpenAI. Gradska uprava Tokija dozvoljava zaposlenima da koriste ChatGPT za zadataka kao što su sažimanje dokumenata i predlaganje ideja. Vlade prefektura Fukušima i Točigi su takođe implementirale sistem. Osim toga, 22 druge prefekture testiraju ChatGPT. Međutim, usvajanje generativne AI je češća u istočnim regionima Tohoku i Kanto u odnosu na zapadne regiona Kansai i Kjušu.

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