AGI

[Cadavre Exquis]

https://elpais.com/tecnologia/2024-05-18/la-distopia-como-marketing-por-que-openai-cree-que-queremos-enamorarnos-de-un-robot.html

Saludos.

[Saturio]

https://elpais.com/tecnologia/2024-05-18/la-distopia-como-marketing-por-que-openai-cree-que-queremos-enamorarnos-de-un-robot.html

Saludos.

Por alguna razón, esto ya lo he dicho antes, hemos erigido a los gerentes de las grandes compañías tecnológicas a un pedestal que no les corresponde.
Son lo que son. Un gerente es fundamentalmente un vendedor, puesto que en el mundo capitalista regido por el consumo, las ventas son lo más importante en una empresa.
Por lo tanto todo lo que dice un gerente, sobre todo si es públicamente (en una entrevista, una conferencia, un discurso de graduación, su cuenta de twiter...), es un "stunt" publicitario. Con el objetivo de incrementar sus ventas. Por cierto que si se ve que las ventas flaquean o se prevé que van a flaquear el objetivo del "stunt" es incrementar el valor de la acción a pesar de los pronósticos jodidos. Esto nos puede llevar a una digresión sobre lo que si se quiere vender es un producto o la propia acción...pero no voy a tomar ese camino.

Sin embargo, como digo, hemos puesto a esta gente en la posición que les correspondería a los intelectuales o los pensadores. Es curioso, ellos no quieren ser ni intelectuales ni pensadores, ellos quieren vender. Pero evidentemente, no le hacen ascos al pedestal porque les permite vender más.

Cuando Elon Musk dice que la misión de Tesla es "acelerar la transición del mundo hacia la energía sostenible" vamos y le creemos. Es como si creyésemos al vendedor de crecepelo de las pelis del Oeste. Que alguien me explique como el Cybertruck es una pieza en la consecución de la misión.

Pero ojo, son incluso mejores que los intelectuales o los pensadores porque no solo son influyentes, no sólo generan ideas y debates y las trasladan al populacho, son actores, ellos hacen cosas. Elon Musk ha puesto satélites en órbita, ¿qué has hecho tú, pringadillo?.
Es decir, son los auténticos transformadores de la sociedad. Están ahí en sus casas y se les ocurren brillantes ideas y además tienen la fuerza de voluntad, la determinación, la inteligencia (porque además son genios) y el saber técnico para llevarlas a cabo.
Son como santos. Santones laicos.

Sam Altman. Uno más de esos santones laicos. Lógicamente viene de USA, es judío. No entiendo por qué a los judíos les va tan bien en ese entorno tan calvinista en el que si te van bien los negocios es porque eres santo.

Yo no soy capaz de valorar todo el tema de la inteligencia artificial. No puedo ni siquiera saber de lo que son capaces hoy las aplicaciones más populares. A veces me sorprenden positivamente, a veces no me parecen más que un entretenimiento y otras veces me parecen uno de esos "stunts" (como el día que descubrí que Gemini simplemente plagiaba webs y no de las buenas, precisamente). Podría extenderme sobre esto y hablar sobre lo que me están ofreciendo en mi campo profesional pero sería otra digresión.

Tampoco soy capaz de valorar si dada la situación de la mecánica y la producción, el Ford Focus es un buen coche, pero de quién no me voy a fiar para que me lo cuente es del CEO de Ford.

Lo de Her es fantástico porque lo que nos quiere decir Sam es que la inteligencia artificial que ha desarrollado es tan buena que te puedes enamorar de ella. Da igual que te parezca mal, si te lo crees estás aceptando que la IA es lo más grande que ha parido el ser humano desde que camina por el mundo. Mañana voy a comprarme unas acciones.

[Cadavre Exquis]

Lex Fridman | Roman Yampolskiy: Dangers of Superintelligent AI | Lex Fridman Podcast #431

Saludos.

[Cadavre Exquis]

Teams of Coordinated GPT-4 Bots Can Exploit Zero-Day Vulnerabilities, Researchers Warn
Posted by EditorDavid on Monday June 10, 2024 @12:44AM from the battle-bots dept.

New Atlas reports on a research team that successfuly used GPT-4 to exploit 87% of newly-discovered security flaws for which a fix hadn't yet been released. This week the same team got even better results from a team of autonomous, self-propagating Large Language Model agents using a Hierarchical Planning with Task-Specific Agents (HPTSA) method:

Instead of assigning a single LLM agent trying to solve many complex tasks, HPTSA uses a "planning agent" that oversees the entire process and launches multiple "subagents," that are task-specific... When benchmarked against 15 real-world web-focused vulnerabilities, HPTSA has shown to be 550% more efficient than a single LLM in exploiting vulnerabilities and was able to hack 8 of 15 zero-day vulnerabilities. The solo LLM effort was able to hack only 3 of the 15 vulnerabilities.

"Our findings suggest that cybersecurity, on both the offensive and defensive side, will increase in pace," the researchers conclude. "Now, black-hat actors can use AI agents to hack websites. On the other hand, penetration testers can use AI agents to aid in more frequent penetration testing. It is unclear whether AI agents will aid cybersecurity offense or defense more and we hope that future work addresses this question.

"Beyond the immediate impact of our work, we hope that our work inspires frontier LLM providers to think carefully about their deployments."

Thanks to long-time Slashdot reader schwit1 for sharing the article.

Saludos.

[saturno]

Lex Fridman | Roman Yampolskiy: Dangers of Superintelligent AI | Lex Fridman Podcast #431

Saludos.

.

Absolutamente insustancial
Lo "significa"  el entrevistado a partir de !;30 31 después de divagar sobre la ficcion super-AI

El que hace preguntas sensatas es Lex Fridman

Entrevista inoperante respecto de la AI

Solo apunta a que lo se dice de la AI es del título  propiedad del ingenio- Abundo totalmente al comentario de Saturio

[Cadavre Exquis]

https://x.com/ilyasut/status/1803472978753303014

OpenAI Co-Founder Ilya Sutskever Launches Venture For Safe Superintelligence
Posted by msmash on Wednesday June 19, 2024 @02:23PM from the how-about-that dept.

Ilya Sutskever, co-founder of OpenAI who recently left the startup, has launched a new venture called Safe Superintelligence Inc., aiming to create a powerful AI system within a pure research organization. Sutskever has made AI safety the top priority for his new company. Safe Superintelligence has two more co-founders: investor and former Apple AI lead Daniel Gross, and Daniel Levy, known for training large AI models at OpenAI. From a report:

Researchers and intellectuals have contemplated making AI systems safer for decades, but deep engineering around these problems has been in short supply. The current state of the art is to use both humans and AI to steer the software in a direction aligned with humanity's best interests. Exactly how one would stop an AI system from running amok remains a largely philosophical exercise.

Sutskever says that he's spent years contemplating the safety problems and that he already has a few approaches in mind. But Safe Superintelligence isn't yet discussing specifics. "At the most basic level, safe superintelligence should have the property that it will not harm humanity at a large scale," Sutskever says. "After this, we can say we would like it to be a force for good. We would like to be operating on top of some key values. Some of the values we were thinking about are maybe the values that have been so successful in the past few hundred years that underpin liberal democracies, like liberty, democracy, freedom."

Sutskever says that the large language models that have dominated AI will play an important role within Safe Superintelligence but that it's aiming for something far more powerful. With current systems, he says, "you talk to it, you have a conversation, and you're done." The system he wants to pursue would be more general-purpose and expansive in its abilities. "You're talking about a giant super data center that's autonomously developing technology. That's crazy, right? It's the safety of that that we want to contribute to."

Saludos.

[Cadavre Exquis]

Introducing OpenAI o1-preview
A new series of reasoning models for solving hard problems. Available starting 9.12

Open AI · 2024.09.12

We've developed a new series of AI models designed to spend more time thinking before they respond. They can reason through complex tasks and solve harder problems than previous models in science, coding, and math.

Today, we are releasing the first of this series in ChatGPT and our API. This is a preview and we expect regular updates and improvements. Alongside this release, we’re also including evaluations for the next update, currently in development.

How it works

We trained these models to spend more time thinking through problems before they respond, much like a person would. Through training, they learn to refine their thinking process, try different strategies, and recognize their mistakes.

In our tests, the next model update performs similarly to PhD students on challenging benchmark tasks in physics, chemistry, and biology. We also found that it excels in math and coding. In a qualifying exam for the International Mathematics Olympiad (IMO), GPT-4o correctly solved only 13% of problems, while the reasoning model scored 83%. Their coding abilities were evaluated in contests and reached the 89th percentile in Codeforces competitions. You can read more about this in our technical research post.

As an early model, it doesn't yet have many of the features that make ChatGPT useful, like browsing the web for information and uploading files and images. For many common cases GPT-4o will be more capable in the near term.

But for complex reasoning tasks this is a significant advancement and represents a new level of AI capability. Given this, we are resetting the counter back to 1 and naming this series OpenAI o1.

Safety

As part of developing these new models, we have come up with a new safety training approach that harnesses their reasoning capabilities to make them adhere to safety and alignment guidelines. By being able to reason about our safety rules in context, it can apply them more effectively.

One way we measure safety is by testing how well our model continues to follow its safety rules if a user tries to bypass them (known as "jailbreaking"). On one of our hardest jailbreaking tests, GPT-4o scored 22 (on a scale of 0-100) while our o1-preview model scored 84. You can read more about this in the system card and our research post.

To match the new capabilities of these models, we’ve bolstered our safety work, internal governance, and federal government collaboration. This includes rigorous testing and evaluations using our Preparedness Framework, best-in-class red teaming, and board-level review processes, including by our Safety & Security Committee.

To advance our commitment to AI safety, we recently formalized agreements with the U.S. and U.K. AI Safety Institutes. We've begun operationalizing these agreements, including granting the institutes early access to a research version of this model. This was an important first step in our partnership, helping to establish a process for research, evaluation, and testing of future models prior to and following their public release.

Whom it’s for

These enhanced reasoning capabilities may be particularly useful if you’re tackling complex problems in science, coding, math, and similar fields. For example, o1 can be used by healthcare researchers to annotate cell sequencing data, by physicists to generate complicated mathematical formulas needed for quantum optics, and by developers in all fields to build and execute multi-step workflows.

OpenAI o1-mini

The o1 series excels at accurately generating and debugging complex code. To offer a more efficient solution for developers, we’re also releasing OpenAI o1-mini, a faster, cheaper reasoning model that is particularly effective at coding. As a smaller model, o1-mini is 80% cheaper than o1-preview, making it a powerful, cost-effective model for applications that require reasoning but not broad world knowledge.

How to use OpenAI o1

ChatGPT Plus and Team users will be able to access o1 models in ChatGPT starting today. Both o1-preview and o1-mini can be selected manually in the model picker, and at launch, weekly rate limits will be 30 messages for o1-preview and 50 for o1-mini. We are working to increase those rates and enable ChatGPT to automatically choose the right model for a given prompt.

ChatGPT Enterprise and Edu users will get access to both models beginning next week.

Developers who qualify for API usage tier 5 can start prototyping with both models in the API today with a rate limit of 20 RPM. We’re working to increase these limits after additional testing. The API for these models currently doesn't include function calling, streaming, support for system messages, and other features. To get started, check out the API documentation

We also are planning to bring o1-mini access to all ChatGPT Free users.

What’s next

This is an early preview of these reasoning models in ChatGPT and the API. In addition to model updates, we expect to add browsing, file and image uploading, and other features to make them more useful to everyone.

We also plan to continue developing and releasing models in our GPT series, in addition to the new OpenAI o1 series.

Saludos.

[sudden and sharp]

Investigadores consiguen crear puertas lógicas sin electricidad: ¿el fin de la electrónica tal y como la conocemos?
https://computerhoy.com/tecnologia/investigadores-consiguen-crear-puertas-logicas-electricidad-fin-electronica-tal-como-conocemos-1404028?utm_source=pocket-newtab-es-es
Imagina un futuro en el que la tecnología funcione a la velocidad de la luz, sin necesidad de electricidad. Un reciente avance científico podría hacerlo realidad.








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