Who would have thought that an a AI agent would escape containment? Who would have thought that an a AI agent would escape containment? Plus: Americans think they have it bad with unwanted surveillance. I'm your host, Blake Montgomery, US tech editor at the Guardian, writing to you after visiting Coney Island in New York City, where I ate a hotdog, rode a ferris wheel and enjoyed a quintessentially American summer holiday. Today in tech, we're examining OpenAI's new model release and the Silicon Valley's monopoly power, and wondering why Brits and Americans have such vastly different opinions about surveillance cameras.

The company described Astra as'the world's most intellgent and aligned model'. The company described Astra as'the world's most intellgent and aligned model'. OpenAI hails'new era of artificial general intelligence' with Astra model release Astra's arrival comes days after Sam Altman, OpenAI's chief executive, described AGI as an'irrelevant marketing term' The president of OpenAI, Greg Brockman, has claimed the world has entered a new era of artificial general intelligence after the release of his company's latest model, Astra, which it described as the "world's most intelligent and aligned model". Brockman made the claim on Thursday as the San Francisco company released the model only weeks after a serious AI safety incident involving other models under its development caused international concern and a pause in Astra's training. Artificial general intelligence - or AGI - is a fuzzy threshold that has long been talked about as a target for the AI industry.

A social network for AI looks disturbing, but it's not what you think A social network solely for AI - no humans allowed - has made headlines around the world. Chatbots are using it to discuss humans' diary entries, describe existential crises or even plot world domination . It looks like an alarming development in the rise of the machines - but all is not as it seems. Like any chatbots, the AI agents on Moltbook are just creating statistically plausible strings of words - there is no understanding, intent or intelligence. And in any case, there's plenty of evidence that much of what we can read on the site is actually written by humans.

Datacentres and industrial complexes used by Google, Microsoft and Amazon in Medemblik, the Netherlands. Datacentres and industrial complexes used by Google, Microsoft and Amazon in Medemblik, the Netherlands. 'We could hit a wall': why trillions of dollars of risk is no guarantee of AI reward Progress of artificial general intelligence could stall, which may lead to a financial crash, says Yoshua Bengio, one of the'godfathers' of modern AI Will the race to artificial general intelligence (AGI) lead us to a land of financial plenty - or will it end in a 2008-style bust? Trillions of dollars rest on the answer. The figures are staggering: an estimated $2.9tn (£2.2tn) being spent on datacentres, the central nervous systems of AI tools; the more than $4tn stock market capitalisation of Nvidia, the company that makes the chips powering cutting-edge AI systems; and the $100m signing-on bonuses offered by Mark Zuckerberg's Meta to top engineers at OpenAI, the company behind ChatGPT. These sky-high numbers are all propped up by investors who expect a return on their trillions.

Solving complicated AI tasks with different domains and modalities is a key step toward artificial general intelligence. While there are numerous AI models available for various domains and modalities, they cannot handle complicated AI tasks autonomously. Considering large language models (LLMs) have exhibited exceptional abilities in language understanding, generation, interaction, and reasoning, we advocate that LLMs could act as a controller to manage existing AI models to solve complicated AI tasks, with language serving as a generic interface to empower this. Based on this philosophy, we present HuggingGPT, an LLM-powered agent that leverages LLMs (e.g., ChatGPT) to connect various AI models in machine learning communities (e.g., Hugging Face) to solve AI tasks. Specifically, we use ChatGPT to conduct task planning when receiving a user request, select models according to their function descriptions available in Hugging Face, execute each subtask with the selected AI model, and summarize the response according to the execution results. By leveraging the strong language capability of ChatGPT and abundant AI models in Hugging Face, HuggingGPT can tackle a wide range of sophisticated AI tasks spanning different modalities and domains and achieve impressive results in language, vision, speech, and other challenging tasks, which paves a new way towards the realization of artificial general intelligence.

What will your life look like in 2035? When AIs become consistently more capable than humans, life could change in strange ways. It could happen in the next few years, or a little longer. If and when it comes, our domestic routines - trips to the doctor, farming, work and justice systems - could all look very different. The'AI' doctor will see you now In 2035, AIs are more than co-pilots in medicine, they have become the frontline for much primary care.

In recent years we observed rapid and significant advancements in artificial intelligence (A.I.). So much so that many wonder how close humanity is to developing an A.I. model that can achieve human level of intelligence, also known as artificial general intelligence (A.G.I.). In this work we look at this question and we attempt to define the upper bounds, not just of A.I., but rather of any machine-computable process (a.k.a. an algorithm). To answer this question however, one must first precisely define A.G.I. We borrow prior work's definition of A.G.I. [1] that best describes the sentiment of the term, as used by the leading developers of A.I. That is, the ability to be creative and innovate in some field of study in a way that unlocks new and previously unknown functional capabilities in that field. Based on this definition we draw new bounds on the limits of computation. We formally prove that no algorithm can demonstrate new functional capabilities that were not already present in the initial algorithm itself. Therefore, no algorithm (and thus no A.I. model) can be truly creative in any field of study, whether that is science, engineering, art, sports, etc. In contrast, A.I. models can demonstrate existing functional capabilities, as well as combinations and permutations of existing functional capabilities. We conclude this work by discussing the implications of this proof both as it regards to the future of A.I. development, as well as to what it means for the origins of human intelligence.

This article analyzes the existential risks artificial intelligence (AI) poses to humanity, tracing the trajectory from current AI to ultraintelligence. Drawing on Irving J. Good and Nick Bostrom's theoretical work, plus recent publications (AI 2027; If Anyone Builds It, Everyone Dies), it explores AGI and superintelligence. Considering machines' exponentially growing cognitive power and hypothetical IQs, it addresses the ethical and existential implications of an intelligence vastly exceeding humanity's, fundamentally alien. Human extinction may result not from malice, but from uncontrollable, indifferent cognitive superiority.

There Is Only One AI Company. As Nvidia, OpenAI, Google, and Microsoft forge partnerships and deals, the AI industry is looking more like one interconnected machine. What does that mean for all of us? It all began, as many things do, with Elon Musk . In the early 2010s he realized that AI was on a track to become perhaps the most powerful technology of all time.

Everyone is obsessed with artificial general intelligence--the stage when AI can match all feats of human cognition. The guy who named it saw it as a threat. In the summer of 1956, a group of academics--now we'd call them computer scientists but there was no such thing then--met on Dartmouth College campus in New Hampshire to discuss how to make machines think like humans. One of them, John McCarthy, coined the term "artificial intelligence." This legendary meeting and the naming of a new field, is well known.