Netflix has used artificial intelligence in one of its TV shows for the first time, in a move the streaming company's boss said would make films and programmes cheaper and of better quality. Ted Sarandos, a co-chief executive of Netflix, said the Argentinian science fiction series El Eternauta (The Eternaut) was the first it had made that involved using generative AI footage. "We remain convinced that AI represents an incredible opportunity to help creators make films and series better, not just cheaper," he told analysts on Thursday after Netflix reported its second-quarter results. He said the series, which follows survivors of a rapid and devastating toxic snowfall, involved Netflix and visual effects (VFX) artists using AI to show a building collapsing in Buenos Aires. "Using AI-powered tools, they were able to achieve an amazing result with remarkable speed and, in fact, that VFX sequence was completed 10 times faster than it could have been completed with traditional VFX tools and workflows," he said.

Netflix says it has used visual effects created by generative artificial intelligence (AI) on screen for the first time in one of its original TV shows. The streaming giant's co-CEO Ted Sarandos said AI, which produces videos and images based on prompts, was used to create a scene of a building collapsing in the Argentine science fiction show, The Eternauts. He praised the technology as an "incredible opportunity to help creators make films and series better, not just cheaper." The use of generative AI is controversial in the entertainment industry and has sparked fears that it will replace the work of humans.

Users of ChatGPT will be able to ask an AI agent to find restaurant reservations, go shopping for them and even draw up lists of candidates for job vacancies, as the chatbot gains the powers of a personal assistant from Thursday. ChatGPT agent, launched by Open AI everywhere apart from the EU, not only "thinks" but also acts, the US company said. The agent combines the powers of AI research tools with the ability to take control of web browsers, computer files and software such as spreadsheets and slide decks. It follows the launch of similar "agents" by Google and Anthropic as interest grows in AI models that can handle computer-based tasks by judging which software is best to use and toggling between systems to autonomously complete assignments like drafting travel itineraries or carrying out work research. "The hope is that agents are able to bring some real utility to users – to actually do things for them rather than just outputting polished text and sounding impressive," said Niamh Burns, senior media analyst at Enders Analysis.

Not too long ago, I wrote that AI agents were the future of AI: tools that could carry out tasks for you, like ordering groceries or booking meetings. OpenAI's latest launch makes that reality appear a bit closer. On Thursday, during a live stream, OpenAI launched a ChatGPT agent, which the company claims can handle complex tasks for you from start to finish. Some examples OpenAI provided were looking at your calendar and writing a briefing based on your upcoming events, or even planning and buying ingredients for a meal you were thinking of cooking. OpenAI's most cutting-edge features, including Operator and deep research, gave the public a taste of the company's agentic capabilities and now power this new agent mode. Operator, which launched in January, was created to interact directly with a web browser to carry out actions for you, while deep research is an agentic feature that can search the web for you and compose a detailed report in minutes that would otherwise take humans hours.

When most people think of AI, the first thing that probably comes to mind isn't superintelligence or the promise of agents to boost productivity, but scams. There've always been fraudsters among us, that small percentage of the population who'll use any means available to swindle others out of their money. The proliferation of advanced and easily accessible generative AI tools in recent years has made such nefarious activity exponentially easier. In one memorable incident from early last year, a finance employee at a firm based in Hong Kong wired 25 million to fraudsters after being instructed to do so on a video call with what they believed to be company executives, but were in fact AI-generated deepfakes. And earlier this month, an unknown party used AI to imitate the voice of US Secretary of State Marco Rubio on calls that went out to a handful of government officials, including a member of Congress.

On Thursday, OpenAI announced ChatGPT agent, a tool that's capable of navigating the web and performing tasks on your behalf. As teased in an X post before the livestream, ChatGPT agent combines the autonomous capabilities of its Operator agent and the reasoning intelligence of its Deep Research tool. OpenAI's Operator, which launched in January as preview mode to ChatGPT Pro users, could scroll, click, and type on the web but had limitations and never saw a widespread release. Deep research is another type of agent that can search the web and compile information on the user's behalf, but it couldn't take actions beyond that. The launch of OpenAI's new web browsing agent effectively combines both tools.

Not too long ago, I wrote that AI agents were the future of AI: tools that could carry out tasks for you, like ordering groceries or booking meetings. OpenAI's latest launch makes that reality appear a bit closer. On Thursday, during a live stream, OpenAI launched a ChatGPT agent, which the company claims can handle complex tasks for you from start to finish. Some examples OpenAI provided were looking at your calendar and writing a briefing based on your upcoming events, or even planning and buying ingredients for a meal you were looking to cook. OpenAI's most cutting-edge features, including Operator and deep research, gave the public a taste of the company's agentic capabilities and now power this new agent mode.

Getting into local models takes a bit more effort than, say, navigating to ChatGPT's online interface. But the very accessibility of a tool like ChatGPT comes with a cost. "It's the classic adage: If something's free, you're the product," says Elizabeth Seger, the director of digital policy at Demos, a London-based think tank. OpenAI, which offers both paid and free tiers, trains its models on users' chats by default. It's not too difficult to opt out of this training, and it also used to be possible to remove your chat data from OpenAI's systems entirely, until a recent legal decision in the New York Times' ongoing lawsuit against OpenAI required the company to maintain all user conversations with ChatGPT.

Isa Fulford, the research lead for OpenAI's new ChatGPT agent, needed to order a bunch of cupcakes, so she asked the AI tool to do it for her. "I was very specific about what I wanted, and it was a lot of cupcakes," she says. "That one took almost an hour--but it was easier than me doing it myself, because I didn't want to do it." OpenAI has launched a new agent for ChatGPT that uses a virtual browser to complete tasks and can generate downloadable files, specifically PowerPoint presentations and Excel spreadsheets. While not a full replacement for the Microsoft suite of workplace tools, the features included in this agent from OpenAI could obviate some users' reliance on Microsoft's enterprise software.

Over the last year, chain of thought (CoT) -- an AI model's ability to articulate its approach to a query in natural language -- has become an impressive development in generative AI, especially in agentic systems. Now, several researchers agree it may also be critical to AI safety efforts. On Tuesday, researchers from competing companies including OpenAI, Anthropic, Meta, and Google DeepMind, as well as institutions like the Center for AI Safety, Apollo Research, and the UK AI Security Institute, came together in a new position paper titled "Chain of Thought Monitorability: A New and Fragile Opportunity for AI." The paper details how observing CoT could reveal key insights about a model's ability to misbehave -- and warns that training models to become more advanced could cut off those insights. A model uses chain of thought to explain the steps it's taking to tackle a problem, sometimes speaking its internal monologue as if no one is listening. This gives researchers a peek into its decision-making (and sometimes even its morals).