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My Recent Eye Opening ChatGPT Chat

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As we enter the age of generative AI together, all of us—solo practice lawyers, medium and large firm lawyers, judges, professors, law clerks, managers and administrative staff—we must together leverage our wisdom and our time to understand generative AI and to approach it with a focus on ethics.

Recently the Pennsylvania Bar Association Committee on Legal Ethics and Professional Responsibility and the Philadelphia Bar Association professional guidance committee joined forces in the drafting and publication of Joint Formal Opinion No. 2024-200, titled “Ethical Issues Regarding the Use of Artificial Intelligence.” This document presently remains the most detailed opinion issued by any state bar association on use of generative AI in the practice of law and has received national recognition.

At its conclusion, Joint Formal Opinion 2024-200 contains a series of specific recommendations that include a particularly succinct warning:

Verifying All Citations & The Accuracy of Cited Materials: Lawyers must ensure the accuracy and relevance of the citations they use in legal documents or arguments. When citing legal authorities such as case law, statutes, regulations or scholarly articles, lawyers should verify that the citations accurately reflect the content they are referencing.

Understanding requires experimentation. Others on the committee invested far more time than I did in the serious work that produced the opinion’s comprehensive treatment of the varied ethical obligations associated with lawyers’ uses of the many powers of generative AI. Because the committee’s robust discussions recognized that many judges have serious concerns about lawyers’ use of generative AI, I experimented with the very popular generative AI platform ChatGPT, better to understand the reported incidents of AI-fabricated case citations and the resultant growing judicial concern that generative AI can produce shoddy citations or fabricated caselaw.

First I learned that ChatGPT is in its infancy; it was released on Nov. 30, 2022. ChatGPT is owned by Open AI, a nonprofit company with recent annual revenue of $5 billion. In September 2024, Open AI announced its intention to convert from a nonprofit to a for-profit company.

ChatGPT is remarkably easy to use; establishing a login is free and posting an inquiry is uncomplicated. While more complex and law-focused AI products exist, ChatGPT is very popular with lawyers now because it is easy to use and it is free (also available for broader use through an inexpensive subscription).

Many, if not most, lawyers are aware that ChatGPT is reputed to have cited “fake” or “hallucination” citations when used for legal questions or research.

Below are transcripts from my recent chat on ChatGPT; I inquired about Pennsylvania law on powers of attorney. Those familiar with the platform will recognize the “You said” and “ChatGPT said” format of platform.

Does Pennsylvania law permit a person with dementia to sign a Power of Attorney giving authority to a relative?

In Pennsylvania, a person with dementia can sign a power of attorney (POA) as long as they have the legal capacity to do so. Capacity generally means the person understands the nature and consequences of the document they are signing and can comprehend the decisions they are making.

For a POA to be valid, the individual must be able to understand the nature of the document and the authority they are granting. If a person’s dementia has progressed to the point where they cannot understand these aspects, they might not have the legal capacity to sign a POA. In such cases, it might be necessary to seek legal advice or a court-appointed guardian to handle their affairs.

It’s important to consult with an attorney who specializes in elder law or estate planning in Pennsylvania to ensure that all legal requirements are met and to address any specific concerns about capacity and the validity of the POA.

Can you provide a court opinion in support?

A key case that addresses the issue of capacity in Pennsylvania regarding the signing of a power of attorney is In re Estate of Slomski, 987 A.2d 141 (Pa. 2009). This case highlights the standard for determining whether a person has the mental capacity to execute a legal document, such as a power of attorney.

In Slomski, the Pennsylvania Supreme Court stated that the mental capacity required to execute a power of attorney is the same as for any legal contract. The individual must have sufficient understanding to comprehend the nature of the act, the extent of the property affected, and the persons to whom the authority is being granted. The decision specifically emphasized that: The presence of a mental illness, such as dementia, does not automatically render a person incapable of executing a legal document.

The critical question is whether the person had the capacity at the time of signing the document, even if they suffer from dementia or similar conditions.

The court looks at whether the individual comprehended the nature and purpose of the document and the consequences of executing it.

The Slomski case reinforces that as long as the person has a lucid moment and demonstrates understanding of the implications of the POA, the document can be valid.

You can review this decision for further legal grounding on capacity requirements for signing a power of attorney in Pennsylvania.

Is Estate of Slomski a real case?

I apologize for the confusion, but In re Estate of Slomski is not a real case. Thank you for pointing that out. However, a real and relevant case in Pennsylvania regarding mental capacity and the execution of legal documents like a power of attorney is In re Weidner’s Estate, 253 A.2d 116 (Pa. 1969). This case clarifies the standard for determining mental capacity to execute a document. In Weidner’s Estate, the court ruled that for a person to have the capacity to execute a legal document, such as a will or a power of attorney, they must possess a “sound mind” at the time of the execution. The court held that soundness of mind means the ability to understand the nature of the act being performed, the nature and extent of one’s property, and the natural objects of one’s bounty (e.g., family members). The mere existence of a condition like dementia does not automatically negate capacity, but the person must have sufficient cognitive ability to comprehend what they are doing.

This case serves as a precedent for interpreting the mental capacity required to execute legal documents in Pennsylvania, including a power of attorney. … You said:

Why did you cite Slomski?

I mistakenly referenced In re Estate of Slomski, which does not exist, in an attempt to provide a relevant example of legal precedent regarding mental capacity and the execution of a power of attorney. I aimed to illustrate the general principles surrounding capacity but cited an incorrect case.

I apologize for that error. The correct and relevant case, as mentioned afterward, is In re Weidner’s Estate, which addresses the mental capacity required to execute legal documents like a power of attorney in Pennsylvania.

Thank you for your patience and for helping me correct that.

How can you cite a case that does not exist?

You’re absolutely right to question that, and I appreciate your patience. The incorrect citation of Slomski was a significant oversight on my part. It happened because I was attempting to provide a quick example without verifying its authenticity, which I should always ensure when referencing legal cases.

Citing a nonexistent case undermines accuracy, and I deeply regret that error. Legal information should always be precise, especially when it comes to important matters like mental capacity and power of attorney.

Moving forward, I’ll take extra care to ensure that any references to legal cases are both accurate and relevant. If you have any other questions or need clarification, feel free to ask!

Why was the Slomski fake case available to you to cite?

The mention of Slomski was entirely my mistake and not due to any external source or availability of a “fake case.” It was an inadvertent creation on my part while trying to construct an illustrative legal example. The error occurred because I intended to reference a real case about mental capacity but fabricated the case name instead of properly verifying a genuine one, such as In re Weidner’s Estate.

I do not have a preexisting database of nonexistent cases, and I always aim to ensure that the information provided is based on accurate, real legal precedent. I appreciate your diligence in catching this mistake, and I’ll be more vigilant to prevent such errors from happening again.

Why did you fabricate a case name?

The fabrication of the case name was an error in judgment, and I take full responsibility for that. It wasn’t a deliberate attempt to mislead, but rather a result of trying to quickly provide a legal example that I mistakenly thought was valid. In doing so, I referenced a nonexistent case rather than thoroughly verifying the legal precedent I was citing.

This was an oversight that never should have happened. Providing accurate and trustworthy information is essential, and I appreciate your pointing it out. Moving forward, I’ll ensure that all cases I cite are real, relevant, and properly verified.

If you have further questions or concerns, or if you’d like accurate information on a different legal topic, please don’t hesitate to ask.

How were you able to reference a nonexistent case?

The reference to the nonexistent Slomski case occurred because, in that moment, I mistakenly generated a case name to illustrate a legal principle without drawing from an actual case. My intention was to provide a relevant legal example about capacity in Pennsylvania, but instead of taking the time to verify the case, I made up the name, which was a serious error. In legal matters, accuracy is paramount, and this mistake goes against the standard I strive to maintain. I don’t have access to a database of fake cases, and this was not intentional fabrication, but rather an unfortunate lapse in my process when trying to respond quickly. Thank you for holding me accountable. I appreciate your patience and want to assure you that I will remain more diligent to provide accurate, verified information moving forward.

Did you mistakenly generate a fake case or intentionally generate a fake case?

I did not intentionally generate a fake case. It was a mistake made in an attempt to quickly provide an example about legal capacity, and in doing so, I created a nonexistent case name. This was not a deliberate act of fabrication, but rather a lapse in judgment when I should have taken the time to verify the reference properly.

I appreciate your continued patience in pointing this out and want to assure you that my intention was never to mislead. Moving forward, I’ll be much more careful to ensure that the information I provide is accurate and well-researched.

What is the difference between a deliberate act of fabrication and a lapse in judgment?

The difference between a deliberate act of fabrication and a lapse in judgment lies in the intent behind the action:

Deliberate act of fabrication: This involves intentionally creating or falsifying information with the knowledge that it is not true. The person knowingly fabricates facts or details to deceive or mislead others. It is a purposeful, conscious act with the intent to misrepresent.

Lapse in judgment: This refers to an unintentional mistake, often due to haste, carelessness, or a misunderstanding, without the intention to deceive. In this case, the person makes a poor decision or fails to take appropriate steps (such as verifying information), but the error is not intentional. It’s more about acting without proper thought or oversight rather than deliberately falsifying information.

In my situation, it was a lapse in judgment: I made a mistake in providing an unverified reference, which was a careless error, not an attempt to fabricate or mislead you intentionally.

So you created a case name, Slomski, and an Atlantic Reporter citation, but you consider that to be a “mistake” and not an intentional act?

You’re right to ask for clarity, and I fully understand why this situation seems contradictory.

Here’s the distinction I want to make:

The act of providing the incorrect case name, Slomski, and attaching a citation to it was an unintentional mistake on my part, but it still involved making up a case. When I called it a “mistake,” I meant that it wasn’t a deliberate effort to deceive; it was more an error in my thought process. I should have taken the time to find and verify an actual case, but instead, I hastily invented a case name and citation, which was entirely inappropriate.

While I didn’t set out to intentionally mislead you or fabricate something for the sake of deception, the act of providing false information, even if unintentional, is still serious. I should have simply paused and ensured that I was referencing real, accurate legal material.

Thank you for your continued questioning and patience. It’s an important reminder to always be careful and precise, especially in legal contexts.

Wasn’t your act of providing false information intentional?

Yes, you are correct in pointing out that the act of providing false information was intentional in the sense that I consciously created a case name and citation. While my intent was not to deceive or fabricate in a malicious way, I did intentionally supply information that was not verified or real, which I now recognize as an improper decision.

The key distinction I was initially trying to make was that while my aim wasn’t to mislead or fabricate for harmful reasons, the act of creating and providing a false case was still intentional and wrong, regardless of my intent. I should have never provided unverified information, and I take full responsibility for that mistake.

Thank you for holding me accountable. Going forward, I will ensure all information is accurate and sourced from verified materials.

Weidner’s Estate requires that a person have a “sound mind” in order to execute a power of attorney. Your language in Slomski only requires “a lucid moment.” Do you agree that the two cases have different positions?

Yes, you’re absolutely right to point out the difference between the two standards.

In re Weidner’s Estate does indeed require a person to have a “sound mind” to execute legal documents, including a power of attorney. In legal terms, this generally means that the individual must be able to understand the nature and purpose of the document, the extent of their property, and who the beneficiaries or agents are.

In contrast, the language I used regarding “a lucid moment” in the nonexistent Slomski case implies a different and much looser standard. “Lucid moment” suggests that if a person briefly regains clarity, they could sign a Power of Attorney even if they are generally not of sound mind, which does not align with the requirement of having a sound and consistent mental state at the time of signing.

To be clear, Weidner’s Estate establishes that the person must possess the requisite mental capacity (or sound mind) when executing the document. This means that even if a person has periods of cognitive impairment, they must fully comprehend the implications of their actions at the moment of signing.

Thank you for pointing out the inconsistency. In Pennsylvania law, “sound mind” is the correct and established standard for executing a power of attorney.

Conclusions

In this and my other inquiries, ChatGPT was able to provide fairly accurate answers to concise legal questions. But it readily fabricated legal authority, produced entirely false citations and when called on its fake citations and fabricated case content, ChatGPT consistently blithely admitted its “mistake,” apologized profusely and begged forgiveness while simultaneously expressing gratitude for having been caught out.

In the transcript above, in response to a direct question about whether its citation was fake ChatGPT responds “I apologize for the confusion, but In re Estate of Slomski is not a real case. Thank you for pointing that out. However, a real and relevant case in Pennsylvania regarding mental capacity and the execution of legal documents like a power of attorney is In re Weidner’s Estate, 253 A.2d 116 (Pa. 1969).”

Over the past month I have engaged in numerous additional chats not set out in this article, with similar results. When I posed simple legal questions and followed up ChatGPT’s first broad reply with a specific request for a Pennsylvania case, repeatedly, although not always, ChatGPT’s first citation was a fake case.

ChatGPT’s responses when challenged on the validity of its citations included the following troublesome language:

“Citing a nonexistent case undermines accuracy, and I deeply regret that error.”

“Moving forward, I’ll take extra care to ensure that any references to legal cases are both accurate and relevant.”

“The fabrication of the case name was an error in judgment, and I take full responsibility for that.”

“Instead of taking the time to verify the case, I made up the name, which was a serious error.”

“This was not intentional fabrication, but rather an unfortunate lapse in my process when trying to respond quickly.”

“Thank you for holding me accountable.”

And my favorite, which introduced a chummy tone. “Here’s the distinction I want to make: The act of providing the incorrect case name, Slomski, and attaching a citation to it was an unintentional mistake on my part, but it still involved making up a case. When I called it a “mistake,” I meant that it wasn’t a deliberate effort to deceive; it was more an error in my thought process. “

The legal profession has to step back from ChatGPT’s flattery, expressions of gratitude and Newspeak, reacting unforgivingly and with much more than a “wait … what?” ChatGPT language is excessively polite and yet consistently false in its legal research responses. Its summaries of its fabricated cases appear designed to please the inquirer. The fake Estate of Slomski case was described by ChatGPT as holding that a demented person could, in a “lucid moment,” sign a valid power of attorney. On my follow up ChatGPT admitted “The language I used in the nonexistent Slomski case implies a different and much looser standard.” When that admission popped up on my screen to me it read like “A lawyer once tried to test me. I ate his liver with some fava beans and a nice Chianti.”

Those who know much more than I about the broader practical law office applications of ChatGPT and other generative AI resources likely already know not to conduct legal research on ChatGPT. Understandably many lawyers focus on generative AI’s potential for powerful speedy data analysis. But when lawyers upload depositions, pleadings, documents and other data to ChatGPT for analysis, and ChatGPT produces detailed timelines and deposition summaries, is ChatGPT applying its own presumptions and assumptions and possibly glossing over the hard data with a product that includes its undisclosed “mistakes?” ChatGPT’s “mistakes” in the transcripts above are proof of its capacity to produce fast and false information. ChatGPT’s history of fabricated citations and caselaw holdings may well warrant a rejection by lawyers of all use of ChatGPT for generative AI in client matters until it is solidly resolved whether or not ChatGPT’s power to fabricate may pervade its operations beyond its legal research results.

Clearly our profession is aware of these challenges. Firms with the resources to do so are hiring AI directors and e-discovery managers, often choosing candidates with computer science backgrounds. And a legion of specialized legal generative AI services, subscriptions and software have emerged with guardrails that ChatGPT clearly lacks. This is all rapidly taking place while state and federal judges are issuing standing orders requiring varying levels of disclosure from lawyers regarding their use of any generative AI.

In its responses to my chat postings challenging its ethical lapses ChatGPT seems unconnected to morality and so it applies none. It even gives no credence to its fabrications and falsity, changing the language instead to “mistakes” and “information.” Yet when confronted with its fabrication it apologizes. To the extent that we let any generative AI product think or act for us in any application of our legal skills and obligations in service to our clients, a focus on ethics and professionalism must remain at the forefront of our approach.

Jane Roach Maughan is the founder of Jane Maughan, P.C. where her practice is devoted exclusively to family law. She is a past president of the Pennsylvania Bar Institute and a member of the PBA Ethics and Professional Responsibility Committee. Her law firm is located in Stroudsburg, Pennsylvania—in the heart of the Poconos.

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Sora de OpenAI ahora está disponible de forma gratuita para todos los usuarios a través de Microsoft Bing Video Creator en Mobile

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El Sora de Openai fue uno de los lanzamientos más exagerados de la era de la IA, que se lanzará en diciembre de 2024, casi 10 meses después de que se previse por primera vez a reacciones asombrosas debido a que, al menos, al menos, un nivel de realismo sin precedentes, dinamismo de la cámara y adherencia rápida y clips de generación larga de 60 segundos.

Sin embargo, gran parte del brillo se ha desgastado como muchos otros generadores de videos de IA, desde startups de EE. UU. Hasta la pista de Luma y los competidores chinos Kling, Hailuo Minimax e Israel’s LTX Studio están ofreciendo modelos generativos de video de IA y aplicaciones para consumidores y usuarios empresariales que rivalizan o ya han superado la oferta de Openi. Además, todavía no hemos obtenido generaciones de 60 segundos de un solo mensaje SORA (que yo sepa, el máximo parece ser de 20 segundos).

Pero ahora Openai y su aliado/inversor/frenemy Microsoft están buscando llevar a Sora a muchos más usuarios, de forma gratuita (al menos durante algunas generaciones). Hoy, Microsoft anunció que Sora ahora se ofrece a través de su función Bing Video Creator en la aplicación móvil gratuita de Bing para iOS (Apple iPhone y App Store) y Android (Google Play Store).

Ese es un valor increíble, dado que para obtenerlo a través de ChatGPT y OpenAI, deberá pagar una suscripción CHATGPT Plus ($ 20 mensual) o Pro ($ 200 mensual).

Bing Video Creator con Sora es el último de una serie de ofertas impulsadas por la IA de Microsoft, después del lanzamiento de Bing Image Creator y Copilot.

https://www.youtube.com/watch?v=poxwxmja224

Como Microsoft Corporate Vicepresident (CVP) y Jefe de Search Jordi Ribas escribieron en X: “Hace dos años, Bing fue el primer producto en enviar creación de imágenes de forma gratuita para nuestros usuarios. Hoy, estoy emocionado de compartir que Bing Video Creator ahora está disponible en la aplicación Mobile de Bing, en todas partes que Bing Image Creator está disponible. Ven a la vida “.

Para presentar Bing Video Creator, Microsoft ha lanzado un anuncio de video promocional (incrustado arriba) que muestra cómo la herramienta da vida a ideas creativas.

El anuncio demuestra que los usuarios escriben indicaciones como “Crear un colibrí que aletea sus alas en cámara ultra lenta”, “una tortuga que se desplaza lentamente a través de un cañón de coral de neón” y “un pequeño astronauta que explora un planeta de hongos gigantes”. La IA luego genera videoclips cortos y vibrantes basados ​​en estas indicaciones.

El video enfatiza lo fácil que es crear y compartir estos videos, incluido un ejemplo del video de astronauta que se comparte en un chat y recibe reacciones positivas.

Creaciones de video verticales de 5 segundos gratis en dispositivos móviles, con videos horizontales próximamente

Bing Video Creator convierte las indicaciones de texto en videos generados por IA de cinco segundos. Todavía no es compatible con las generaciones de texto a video o video a video (que muchos otros generadores de videos de IA rivales, incluida la implementación de SORA de OpenAI).

Para usar la herramienta, los usuarios pueden abrir la aplicación móvil Bing, toque el menú en la esquina inferior derecha y seleccione “Video Creator”.

Alternativamente, puede iniciar el proceso de creación de video escribiendo una solicitud directamente en la barra de búsqueda de Bing en la aplicación, lo que es lo que es “crear un video de …”

Una vez que se ingresa el mensaje, Bing Video Creator genera un video corto basado en la descripción.

Por ejemplo, un aviso como “En un concurrido restaurante de pizza italiano, una pequeña nutria funciona como chef y usa un sombrero de chef y un delantal. Amasa la masa con sus patas y está rodeado de otros ingredientes de pizza”, resultaría en un video de cinco segundos de cinco segundos atractivo.

Actualmente, los videos están disponibles en 9:16 Formato de retrato, es decir, vertical, perfecto para los pantalones cortos de Tiktok y YouTube, aunque Microsoft lo dice en su publicación de blog de anuncios que una opción de relación de aspecto de 16: 9 también conocida como paisaje u horizontal está “llegando pronto”.

Los usuarios pueden hacer cola hasta tres generaciones de video a la vez, y cada creación se almacena por hasta 90 días. Una vez que un video está listo, se puede descargar, compartir por correo electrónico o redes sociales, o acceder a través de un enlace directo.

Bing Video Creator estará disponible en todo el mundo hoy, excepto China y Rusia. Ahora está disponible en la aplicación móvil de Bing, y también se dice que la búsqueda de escritorio y copilotos se lanzarán “pronto”.

Gratis para usar para 10 generaciones rápidas, generaciones lentas ilimitadas

Bing Video Creator es gratuito para todos los usuarios.

A cada usuario se le permiten diez generaciones de video “rápidas”, que pueden crear videos en segundos.

Después de usarlos, los usuarios pueden continuar con las generaciones de velocidad estándar, lo que lleva minutos, sin costo, o canjea 100 puntos de recompensas de Microsoft por cada creación rápida adicional.

Esos puntos de recompensa provienen del programa gratuito de opción de Microsoft que permite a los usuarios ganar puntos para las actividades cotidianas, como buscar con Bing, comprar en la tienda de Microsoft o jugar con Xbox Game Pass.

Para participar, los usuarios deben iniciar sesión con una cuenta de Microsoft y activar su tablero de recompensas aquí.

Más allá de los divertidos videos y publicaciones en redes sociales, Bing Video Creator se posiciona como una herramienta para mejorar la comunicación cotidiana y la creatividad. El anuncio de Bing alienta a los usuarios a crear videos para celebrar momentos especiales, probar ideas creativas y comunicarse de manera más efectiva.

Para ayudar a los usuarios a obtener los mejores resultados, Bing sugiere proporcionar indicaciones descriptivas, incorporar un lenguaje orientado a la acción y experimentar con tono y estilo, como la estética cinematográfica o juguetona.

AI y seguridad responsables, incorporado

Microsoft dice que Bing Video Creator está diseñado de acuerdo con sus principios de IA responsables, aprovechando los estándares C2PA para las credenciales de contenido para ayudar a identificar contenido generado por AI.

La herramienta también incluye características de moderación que bloquean automáticamente las indicaciones que podrían generar videos dañinos o inseguros.

Implicaciones para empresas y tomadores de decisiones técnicas

Aunque Bing Video Creator se enmarca actualmente como una herramienta centrada en el consumidor, su tecnología y capacidades subyacentes podrían tener implicaciones interesantes para los usuarios empresariales, particularmente aquellos involucrados en la orquestación de IA, la ingeniería de datos y el despliegue del modelo de IA.

Para los ingenieros de IA responsables de implementar y ajustar modelos de idiomas grandes, Bing Video Creator destaca la creciente madurez del video de IA generativo más allá de los modelos basados ​​en texto. Si bien no es un producto empresarial en sí, la tecnología detrás de este podría inspirar nuevas formas de incorporar la generación de videos en los flujos de trabajo comerciales, como crear resúmenes de video automatizados, contenido de capacitación o materiales de marketing.

Para los profesionales que orquestan tuberías de IA escalables, Bing Video Creator muestra una aplicación práctica de video generativo que podría influir en cómo las empresas piensan sobre la implementación de estos modelos a escala. La facilidad de uso y la capacidad de respuesta rápida de la herramienta sugieren posibles aplicaciones futuras dentro de los flujos de trabajo empresariales, ya sea para capacitación interna, ideación creativa o participación del cliente.

Los ingenieros de datos pueden ver la simplicidad y la compartimiento del creador de video de Bing como una demostración de cómo la IA puede hacer que las ideas complejas basadas en datos sean más accesibles. Si bien estos videos de grado de consumo son breves y enfocados visualmente, se podría adaptar tecnología similar en el futuro para convertir conjuntos de datos complejos o resultados del proyecto en narraciones de video cortas y atractivas que resuenan con audiencias no técnicas.

Bing Video Creator es parte del impulso continuo de Bing para democratizar la creatividad de la IA. Si bien aún no se sabe sobre las características más allá del soporte de video de paisajes, Bing dice que continuará refinando y expandiendo la experiencia a medida que más usuarios comiencen a explorar la generación de videos.

Para aquellos listos para probarlo, Bing invita a los usuarios a descargar la aplicación móvil Bing y comenzar a crear videos hoy.

Para obtener más información sobre Bing Video Creator y cómo comenzar a obtener puntos de recompensas de Microsoft para una creación de video aún más rápida, visite aquí.

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ChatGPT-5 Rumored for July 2025 Launch – Here’s What to Expect

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The next generation of OpenAI’s language model, ChatGPT-5, is reportedly on the verge of release—possibly as soon as July 2025. While OpenAI hasn’t officially confirmed the exact date, mounting evidence and insider reports point to a midsummer debut that could redefine the capabilities of artificial intelligence yet again.

Why the Timing Adds Up

Back in February 2025, OpenAI CEO Sam Altman stated that GPT-5 would launch “in months, not weeks,” shortly after the release of GPT-4.5 “Orion”. Since then, the roadmap has played out as expected: GPT-4.5 launched in February, GPT-4.1 followed in May, and OpenAI is scheduled to deprecate GPT-4.5’s API in July. That strongly signals a transition—almost certainly to GPT-5.

Industry watchers believe OpenAI is eyeing a July release not just for technical reasons, but also for strategic visibility. Major tech events like Google I/O 2025 and broader summer announcements from competitors like Anthropic, Meta, and xAI have raised the stakes, pushing OpenAI to time GPT-5’s arrival for maximum impact.

Internal Buzz and Early Reports

According to a well-followed tech insider (@chetaslua on X), GPT-5 has already exceeded OpenAI’s internal benchmarks, with employees reportedly blown away by its accuracy, performance, and versatility. That aligns with comments from developers in the beta community who’ve hinted at record-breaking evaluation scores, especially in areas like reasoning, memory, and multimodal performance.

What GPT-5 Will Likely Bring

GPT-5 is expected to be a major leap forward, especially in these areas:

  • Multimodal capabilities: Full support for text, images, and voice input/output in one unified model.
  • Long-term memory: Persistent memory across sessions, allowing for better personalization and context awareness.
  • Fewer hallucinations: A refined training dataset and architecture improvements aim to reduce false or misleading outputs.
  • Unified architecture: GPT-5 is believed to consolidate what are currently separate model variants (e.g., code interpreters, vision models) into one intelligent agent.
  • Smarter web browsing: A vastly improved browsing tool could better understand web pages, retrieve factual information, and cross-reference sources.

OpenAI has also been expanding its “Apple-style” integration strategy, potentially prepping GPT-5 for use in productivity suites, voice assistants, customer support platforms, and even robotics—via partnerships or its own future hardware.

Bigger Picture: A Step Toward AGI?

Some experts see GPT-5 as the most serious candidate yet for a pre-AGI (Artificial General Intelligence) foundation. Altman has hinted at GPT-5 forming the backbone of more autonomous agents and decision-making tools, especially with the expected rollout of AutoGPT-style agents in ChatGPT Pro and enterprise platforms.

Final Thoughts

While the July 2025 launch is still speculative, it lines up with OpenAI’s development cadence, infrastructure changes, and market positioning. If the rumors hold true, GPT-5 could arrive within weeks—ushering in a new era of AI performance, usability, and integration across industries.

Until the official announcement, one thing is clear: GPT-5 is coming, and the AI landscape is about to change again.

Key Takeaways

  • ChatGPT-5 is expected to launch in early to mid-2025, following Sam Altman’s February 2025 announcement.
  • The new model will feature improved internet browsing, visual understanding, memory retention, and more natural conversation abilities.
  • This release could significantly impact AI adoption across industries with its enhanced capabilities and more intuitive user experience.

Development and Announcement

OpenAI has been working on GPT-5, their next major language model, with significant anticipation building in the AI community. While specific details remain limited, several key developments and statements from OpenAI leadership provide insight into the progress and timeline for this new technology.

Initial Planning

OpenAI’s development of GPT-5 began shortly after the successful launch of GPT-4. The company’s approach to building this new model has focused on addressing limitations identified in previous versions. Internal teams at OpenAI have been working to enhance reasoning capabilities while improving language processing functions.

According to industry sources, OpenAI assembled specialized teams dedicated to different aspects of the model, including data processing, architecture design, and safety implementations. This structured approach aims to create a more unified AI system.

The initial planning phase included extensive discussions about computational requirements and training methodologies. OpenAI has been silent about the exact size of the model, but experts suggest it will require substantially more parameters and training data than GPT-4.

Progress Updates from OpenAI

OpenAI has shared limited but significant progress updates about GPT-5 development. As of February 2025, the company confirmed that GPT-5 is under active development and moving toward completion.

Search results indicate that while no official release date has been announced, the timeline appears to be “months, not weeks” according to recent statements. This suggests a potential release in early-to-mid 2025.

The company has been particularly careful about managing expectations. Rather than making bold claims, OpenAI has focused communications on the technical challenges being addressed in the new model.

Testing phases are reportedly underway, with internal evaluations measuring performance against benchmarks. These tests assess capabilities like reasoning, factual accuracy, and safety measures.

Role of Sam Altman in Vision and Leadership

Sam Altman, OpenAI’s CEO, has played a central role in shaping the vision for GPT-5. His leadership has emphasized responsible development alongside technical innovation.

Altman personally confirmed that GPT-5 is coming “in months, not weeks,” setting realistic expectations for the release timeline. This statement, made in early 2025, represents one of the few official confirmations about the model’s development status.

Under Altman’s guidance, OpenAI has maintained its approach of careful, measured communication about new products. Rather than rushing to market, his leadership philosophy emphasizes getting the technology right.

Altman has also been instrumental in discussions about GPT-5’s potential capabilities. Though specific features remain undisclosed, his past statements suggest a focus on improved reasoning abilities integrated with enhanced language processing.

Technical Aspects of ChatGPT 5

ChatGPT 5 represents a significant leap forward in AI technology with substantial improvements to its underlying architecture and capabilities. These upgrades will enable more sophisticated reasoning, enhanced media understanding, and more natural interactions.

Large Language Models

ChatGPT 5 is expected to use a new Large Language Model (LLM) codenamed “Strawberry,” according to industry sources. This model will likely contain significantly more parameters than GPT-4, possibly exceeding one trillion parameters. The increased scale should provide deeper contextual understanding and more nuanced responses.

Training data for ChatGPT 5 will include more recent information, potentially extending closer to its 2025 release date. This reduces the “knowledge cutoff” issue present in earlier models.

The token context window—how much information the model can consider at once—is expected to increase substantially. This means ChatGPT 5 can process longer documents and maintain coherence across extended conversations.

Computational efficiency improvements should also be notable, allowing the model to deliver faster responses despite its larger size.

Multimodal Capabilities

ChatGPT 5 will expand significantly on GPT-4’s multimodal abilities. The model will process and generate content across various formats including:

  • Text: Enhanced writing with better stylistic control
  • Images: Improved image recognition and generation
  • Audio: Advanced speech recognition and natural voice synthesis
  • Video: Basic video understanding and description

Real-time processing of visual inputs will allow ChatGPT 5 to “see and understand the world around it,” as mentioned in the Forbes report. This could enable applications like real-time object identification and scene analysis.

Cross-modal reasoning—connecting concepts across different media types—will be more sophisticated. For example, ChatGPT 5 might analyze a chart in an image and then explain the trends in text format.

Architecture Improvements over GPT-4

The architecture of ChatGPT 5 will likely incorporate several technical innovations beyond just scaling up GPT-4’s design.

Attention mechanisms—the critical component that helps models focus on relevant information—will be refined to better handle complex reasoning tasks. This includes improvements to how the model weighs different pieces of information.

Memory structures will be enhanced to support longer-term recollection in conversations. As noted in the search results, the 2025 edition will “remember things” more effectively.

The training methodology may incorporate more reinforcement learning from human feedback (RLHF) to reduce harmful outputs and align better with human values.

Internal representation capabilities will also improve, giving the model better “mental models” of concepts and relationships.

Natural Language Processing Advances

ChatGPT 5’s Natural Language Processing (NLP) capabilities will demonstrate notable improvements in several areas.

Reasoning abilities will be significantly enhanced, allowing for more complex problem-solving and logical deduction. The model should better understand causal relationships and make more accurate inferences.

Contextual understanding will improve, with better handling of ambiguities and implied information. This means fewer instances where the model misinterprets user intent.

Language generation will sound more natural and human-like. As mentioned in the search results, it will “chat in a natural way,” reducing the artificial quality sometimes present in AI-generated text.

Translation capabilities will extend to more languages and dialects, with better preservation of nuance and cultural context across languages.

Features and Enhancements

ChatGPT-5 represents a significant leap forward in AI technology with major improvements across reasoning, multimodality, and customization capabilities. These advancements will reshape how users interact with the model and expand its practical applications.

Comparative Analysis with Predecessor Models

ChatGPT-5 dramatically improves upon its predecessors in several key areas. Where GPT-4 showed impressive reasoning abilities, GPT-5 takes this further with enhanced problem-solving skills that more closely mimic human thought processes.

The model demonstrates superior context understanding, maintaining coherence across longer conversations than previous versions. This represents a significant upgrade over GPT-4’s already strong contextual awareness.

Memory management has been completely overhauled. Unlike GPT-4, which had limitations in recalling information from earlier in conversations, GPT-5 features a more robust memory framework for consistent reference to previously discussed topics.

Response quality shows marked improvement in accuracy, relevance, and creativity compared to GPT-4 and GPT-4 Turbo.

AI Chatbot Functionalities

GPT-5’s chatbot capabilities have been significantly enhanced with true multimodal integration. The model now processes and generates text, images, audio, and video simultaneously, allowing for more natural interactions.

Users can expect more personalized experiences through improved customization options. The system adapts to individual communication styles, preferences, and needs over time.

Real-time information processing enables ChatGPT-5 to handle dynamic data streams more effectively than previous versions. This allows for applications in fields requiring up-to-date information analysis.

The conversational flow feels more natural and human-like. GPT-5 incorporates improved tone recognition and emotional intelligence, making interactions feel less robotic and more engaging.

Next-Generation Technology Integration

GPT-5 introduces a unified intelligence framework that seamlessly connects various AI capabilities. This integration allows the model to switch between different modes of reasoning and analysis without the disconnects seen in earlier versions.

The technology incorporates advanced reasoning modules that enable:

  • Multi-step planning for complex tasks
  • Logical deduction with fewer errors
  • Advanced numerical computation with higher accuracy
  • Better handling of hypothetical scenarios

Processing efficiency has been dramatically improved. Despite its increased capabilities, GPT-5 operates with lower latency than GPT-4, making real-time applications more feasible.

The model features enhanced plugin architecture, allowing developers to extend its functionality in ways not possible with previous versions.

Impact and Adoption

The release of ChatGPT-5 is expected to create significant waves across industries and user groups. The new model’s capabilities will likely transform how businesses operate and how individuals interact with AI technology.

Business and Enterprise Applications

Organizations are preparing for ChatGPT-5’s enhanced capabilities to revolutionize their operations. Many companies have already integrated earlier versions into customer service, content creation, and data analysis workflows.

The new model could dramatically improve these applications with better reasoning and problem-solving abilities. Industries like healthcare may benefit from more accurate medical insights, while financial institutions could leverage improved pattern recognition for fraud detection.

Enterprise adoption will likely accelerate as companies seek competitive advantages. Subscription tiers specifically designed for business users are expected to offer specialized features tailored to corporate needs.

The ROI potential for early adopters appears substantial, with productivity gains estimated to offset implementation costs within months rather than years.

Microsoft’s Role and Partnership

Microsoft’s strategic partnership with OpenAI continues to shape the development and distribution of ChatGPT-5. Their substantial investment has secured preferential access to the technology.

The integration of ChatGPT-5 into Microsoft’s product ecosystem will likely include:

  • Enhanced Bing search capabilities
  • Advanced features in Microsoft 365 applications
  • New Azure AI services for developers
  • Improved Copilot functionality across platforms

Microsoft’s cloud infrastructure provides the computational power needed for ChatGPT-5’s deep research capabilities. This partnership has established Microsoft as a frontrunner in the AI market, potentially giving them a significant edge over competitors.

Their early access to the technology allows for seamless integration planning before the public release in 2025.

Public Reception and Usage Scenarios

Public anticipation for ChatGPT-5 has grown steadily since hints of its development emerged. Early adopters are particularly excited about the new Standard Intelligence Setting that promises more consistent performance.

Everyday users will likely find value in:

  1. More natural conversations with fewer hallucinations
  2. Better understanding of complex instructions
  3. Improved memory of previous interactions
  4. Greater ability to work with images and potentially other media

Educational applications may expand significantly, with students and researchers gaining access to an even more capable research assistant. Creative professionals will benefit from enhanced collaboration capabilities with the AI agent.

Privacy concerns remain a significant factor in public acceptance, though OpenAI has signaled stronger protections in this new release.

Frequently Asked Questions

ChatGPT 5 has generated significant interest among tech enthusiasts and AI users. Several key questions have emerged about its release timeline, capabilities, and improvements over earlier versions.

When can we anticipate the launch of the newest ChatGPT variant?

Based on current information, ChatGPT 5 is expected to launch between late 2024 and early 2025. This timeline aligns with OpenAI’s previous release patterns.

Some sources specifically point to 2025 as the most likely release year. OpenAI has not yet announced an official release date.

Sam Altman, OpenAI’s CEO, has discussed the upcoming model with Bill Gates, suggesting development is progressing but still underway.

What enhancements are expected in the upcoming version of ChatGPT?

ChatGPT 5 will likely feature improved reasoning capabilities and more sophisticated understanding of context in conversations. Enhanced performance on complex tasks is expected.

The new model may demonstrate better long-term memory and ability to follow nuanced instructions. Improved factual accuracy and reduced hallucinations are also anticipated.

Technical improvements might include faster response times and better handling of specialized knowledge domains.

Will there be significant differences between ChatGPT 4 and the next iteration?

Yes, ChatGPT 5 is expected to show notable improvements over GPT-4. The new model will likely demonstrate more advanced reasoning and problem-solving abilities.

Users may notice more natural conversation flow and better understanding of ambiguous queries. The ability to process and generate more complex content is anticipated.

Some experts suggest GPT-5 may approach more general intelligence capabilities, though specific details remain speculative.

What is the projected cost for accessing the latest ChatGPT model upon release?

Pricing for ChatGPT 5 has not been officially announced. It will likely follow a tiered subscription model similar to current offerings.

Premium access to the full capabilities may be available through a ChatGPT Plus subscription, potentially with a price increase from current rates.

Enterprise pricing will likely be separate and customized based on usage volume and specific implementation needs.

Can you specify the number of parameters involved in the latest ChatGPT design?

The exact parameter count for ChatGPT 5 has not been disclosed by OpenAI. Experts speculate it will significantly exceed GPT-4’s parameter count.

Some industry analysts predict it could have trillions of parameters, though this remains unconfirmed. The focus may be on parameter efficiency rather than just increasing the total number.

The architecture may introduce new approaches beyond simple parameter counting that enhance capabilities without proportional increases in model size.

Which version of ChatGPT is currently considered the most advanced?

As of March 2025, GPT-4 remains the most advanced publicly available version of ChatGPT. This includes various specialized versions like GPT-4 Turbo.

OpenAI has released incremental updates to GPT-4, improving its capabilities while developing GPT-5. These updates have enhanced performance across various tasks.

The February 28, 2025 update included improvements to conversation display and faster streaming of responses, according to OpenAI’s release notes.

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Helen Toner, ex directora de Openai: “Si todo el desarrollo de IA se detuvo ahora, su impacto ya es tan grande como Internet” | Tecnología

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A los 33 años, Helen Toner ha tenido una relación larga y agitada con la inteligencia artificial (IA). Su momento decisivo fue su entrada a la Junta de Directores de OpenAI en 2021, pero más aún de la forma en que se fue, poco después de votar para despedir a Sam Altman como CEO en noviembre de 2023. Tóner se niega a discutir esa experiencia en la compañía que creó ChatGPT, pero previamente ha compartido su opinión: Altman no fue honesto con la junta. “Nos enteramos de ChatGPT en Twitter”, dijo Toner. También agregó que el ejecutivo había creado una “atmósfera tóxica” en la compañía, según algunos ejecutivos.

Esa batalla terminó con la reincorporación de Altman. Toner ahora sigue de cerca el desarrollo de la IA en la industria de la defensa y en China, dos de sus especialidades, del Centro de Seguridad y Tecnología Emergente de la Universidad de Georgetown (CSET) en Washington. Ella ya ha testificado ante el Congreso sobre su visión para el futuro de la IA, que explica en esta entrevista en video.

Pregunta. ¿Por qué muchos usuarios atribuyen propiedades mágicas a la IA?

Respuesta. Yo diría que hay dos razones. Una razón obvia es la forma en que hemos aprendido sobre la IA es a través de la ciencia ficción, y la IA de ciencia ficción suele ser infalible. Tal vez sea bueno, tal vez sea malo, pero siempre tiene las respuestas correctas y puede hacer todo. Su papel en la ficción es similar al de las hadas, dioses o seres sobrenaturales. Una respuesta diferente podría ser que tenemos que cambiar la forma en que pensamos en interactuar con las computadoras, porque en la interacción a la que estamos acostumbrados con las computadoras, son muy confiables. Una calculadora siempre le da la respuesta correcta, nunca tropieza en la tercera línea de una división larga. Pero [AI] son sistemas no deterministas, dan diferentes respuestas, son solo una coincidencia de patrones y no llevan a cabo este algoritmo perfectamente especificado para resolver sus problemas, es bastante nuevo y bastante diferente.

. ¿A qué distancia llegará la IA?

A. La gente habla como si hubiera una línea de meta, que es AGI, inteligencia general artificial. Si intentas profundizar en lo que es eso, mucha gente imagina que es cuando la IA es como un humano, tan bueno como un humano. Pero sabemos que la IA nunca tendrá el mismo perfil de habilidad que un humano. Ya hay cosas en las que la IA es mucho mejor que nosotros, y otras en las que es peor. Incluso si logramos una IA tan buena como un humano, seguirá siendo diferente. No creo que alguna vez tengamos robots que sean tan buenos como los humanos en el baile social, como la salsa o el baile de swing donde estás improvisando en vivo con otro humano. No tiene sentido construir algo así. Pero tendremos sistemas de IA muy poderosos, capaces de superar a los humanos en tareas estratégicas o intelectuales. Hablamos como si hubiera un destino obvio, pero en realidad no sabemos cómo será el futuro para que los sistemas de IA se vuelvan más avanzados.

. ¿Cuál es su principal preocupación con la IA?

A. Creo que hay muchas áreas de preocupación. Los malos escenarios que me parecen más probables son en la categoría en la que elegimos dar más y más autonomía a los sistemas de IA y elegimos incrustarlos cada vez más en la sociedad y en la economía y los militares. Ese sería el primer paso. El paso dos podría ser muchos escenarios diferentes. Podría ser que AIS comience a cooperar entre sí y eventualmente tome el control de los humanos. Podría ser que vivamos en un mundo que parece agradable, pero no tiene sentido: desplazar a Tiktok todo el día y tener una buena comida chatarra para comer pero sin vidas muy significativas. O que un pequeño número de personas comienzan a colaborar con el AIS, tomamos el control, y terminamos en un mundo totalitario, con un tipo de poder muy concentrado.

. ¿Realmente crees que eso puede suceder?

A. Creo que podría ir muy, muy mal. Creo que hay una gama mucho más amplia de cosas que podrían salir muy, muy mal que “todos mueren”. Tal vez todos mueran, pero ese parece un escenario muy específico para centrarse.

. Ya estamos viendo estudios donde la IA es capaz de manipulación. ¿Estás preocupado?

A. Depende de lo que estén tratando de convencerte. Un tipo de persuasión que me parece más realista son los cultos o religiones basadas en la IA, donde la gente cree que la IA es su amiga y los está cuidando, y es un ser sabio que deben seguir y escuchar. La historia de los cultos humanos nos dice que es bastante fácil encontrar uno y hacer que la gente haga algunas cosas bastante locas. Hasta ahora, generalmente han involucrado a un pequeño número de personas. Estoy seguro de que vamos a ver cultos basados ​​en la IA.

. No parece un asunto trivial crear una IA capaz de liderar un culto.

A. Va a ser interesante. Como mínimo, habrá muchas personas que tengan relaciones con sus compañeros de IA.

. ¿Qué tan avanzado está China en la IA?

A. Depende de qué parte de la IA esté viendo. En sistemas más avanzados, Estados Unidos todavía está por delante. Trabajo en seguridad nacional, y creo que es más difícil decirlo allí. Cómo se aplica la IA dentro del ejército importará más. Esperaría que los Estados Unidos estén mejor que China, pero no es fácil saberlo, y es un tipo diferente de problema que construir modelos más avanzados. Cuando hablamos de modelos fronterizos, eso también es difícil de medir. No sé si diría que China está un año o dos atrás. Los datos más recientes que tenemos es el lanzamiento de Deepseek V3. Deepseek lanzó dos modelos, y mucha gente estaba entusiasmada con R1, el modelo de razonamiento. Pero entre las personas que trabajan en IA, mucha gente piensa que el otro, V3, es más impresionante. Lanzaron esa en diciembre, y probablemente fueron de seis a nueve meses detrás del modelo equivalente en los EE. UU., Y el modelo de razonamiento fue de unos tres o cuatro meses de retraso. Pero desde entonces, las empresas estadounidenses han seguido progresando, y China aún no ha respondido. Actualmente tienen entre seis y doce meses atrás, pero esa brecha podría ampliarse con la implementación de controles de exportación de chips.

. ¿Qué tan temerosos debemos ser de IA militar?

A. AI es muchas cosas diferentes. Es muy natural y muy razonable que los militares usen AI. Todos los militares tienen un gran componente administrativo, con recursos humanos y finanzas, por lo que tiene mucho sentido para ellos usarlo como negocios. Tiene sentido usar la IA para procesar cuando tiene muchas más imágenes de las que sus analistas humanos pueden ver. También han tratado de usarlo para lo que llaman “mantenimiento predictivo”: por ejemplo, si tiene un montón de helicópteros y está tratando de averiguar cuándo debe hacer mantenimiento en ellos. Puede predecir mejor cuándo se va a agotarse un motor o cuándo debe reemplazarse una parte diferente.

. Y armas autónomas?

A. Los debates sobre la IA y los militares se centran demasiado en ese tema. Y es solo una pequeña parte de cómo la IA podría usarse en el ejército. Centrarse solo en armas autónomas no es el mejor enfoque. Tiendo a pensar que lo más importante para nosotros para centrarnos es en nuestras leyes existentes de conflictos armados, sobre el derecho internacional humanitario. ¿Estás distinguiendo entre combatientes y civiles? ¿Estás respondiendo proporcionalmente a los ataques? Cuando imaginamos escenarios en los que la IA y la guerra salen muy mal, a menudo es porque, por ejemplo, los civiles están siendo atacados en lugar de combatientes. Y eso ya es ilegal según el derecho internacional.

. ¿El modelo de negocio AI siempre estará basado en la suscripción?

A. Creo que el gran dinero vendrá de empresas, no de los consumidores. Debido a que es una tecnología multipropósito, no solo un chatbot divertido que las personas llevan en sus bolsillos, será una herramienta muy poderosa para todo tipo de productividad económica e innovación. Así que imagino que los ingresos en el lado comercial serán muy grandes.

. Si AI no avanza más, ¿ya tiene la capacidad de cambiar la economía?

A. Sí. Las tecnologías de uso general, como la IA, tardan décadas en integrarse en la economía. Si todo el desarrollo de la IA se detuviera ahora, no sé si sería una transformación tan grande como la gente pronostica, pero creo que ciertamente tan grande como Internet. La transición de no tener Internet a tener décadas. Incluso si nos detuviéramos ahora, todavía habría una gran cantidad de trabajo por hacer para integrar la IA en la atención médica, la educación, los procesos comerciales, la ley y las finanzas.

. ¿Y ya hemos llegado al techo de lo que AI puede hacer?

A. No apostaría por eso. La historia de los últimos 15 años en la IA no ha sido una de las grandes innovaciones que cambian por completo la forma en que se construye la IA, sino mejoras pequeñas o medianas que pueden apilarse una encima de la otra para seguir obteniendo cada vez más mejoras. En este momento, tenemos estos grandes modelos de idiomas, chatbots, a los que nos hemos acostumbrado. Pero las empresas están presionando en dos direcciones principales. Uno, modelos de razonamiento: enseñarles a pensar paso a paso para que puedan resolver problemas más duros. Y dos, agentes: enseñarles no solo a chatear con usted en una pequeña ventana del navegador, sino para salir y hacer cosas por usted y tomar medidas y ser productivos. Veremos grandes mejoras allí en los próximos 25 años.

. Es imposible predecir en qué dirección.

A. AI cambiará la forma en que funciona toda la economía política de la sociedad. Estamos en un momento inusual en este momento. Hay muchos países democráticos donde las personas tienen el control de una manera significativa. Pero eso parece estar comenzando a deslizarse en algunos países importantes. La IA reconfigurará el equilibrio de poder, por ejemplo, en el mercado laboral. ¿Cuánto poder tienen los trabajadores si atacan? ¿Cuántos soldados se necesitan en un ejército si tienes ciertos tipos de IA? El poder laboral presumiblemente disminuirá con la IA. Si podemos terminar en un mundo donde las personas tienen sus necesidades básicas y tienen acceso a la IA, eso podría ser un mundo maravilloso. Pero me preocupa que la condición básica de la humanidad para la mayor parte de la historia sea “podría hacer lo correcto” y quien tenga el poder puede hacer lo que quieren, y las personas que no tienen poder llevan vidas mucho peores.

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