AI agents are a risky business. Even when stuck inside the chatbox window, LLMs will make mistakes and behave badly. Once they have tools that they can use to interact with the outside world, such as web browsers and email addresses, the consequences of those mistakes become far more serious. That might explain why the first breakthrough LLM personal assistant came not from one of the major AI labs, which have to worry about reputation and liability, but from an independent software engineer, Peter Steinberger. In November of 2025, Steinberger uploaded his tool, now called OpenClaw, to GitHub, and in late January the project went viral.

One OpenClaw user said he recently allowed the bot to delete 75,000 of his old emails. One OpenClaw user said he recently allowed the bot to delete 75,000 of his old emails. OpenClaw is billed as'the AI that actually does things' and needs almost no input to potentially wreak havoc A new viral AI personal assistant will handle your email inbox, trade away your entire stock portfolio and text your wife "good morning" and "goodnight" on your behalf. OpenClaw, formerly known as Moltbot, and before that known as Clawdbot (until the AI firm Anthropic requested it rebrand due to similarities with its own product Claude), bills itself as "the AI that actually does things": a personal assistant that takes instructions via messaging apps such as WhatsApp or Telegram. Developed last November, it now has nearly 600,000 downloads and has gone viral among a niche ecosystem of the AI obsessed who say it represents a step change in the capabilities of AI agents, or even an "AGI moment" - that is, a revelation of generally intelligent AI. "It only does exactly what you tell it to do and exactly what you give it access to," said Ben Yorke, who works with the AI vibe trading platform Starchild and recently allowed the bot to delete, he claims, 75,000 of his old emails while he was in the shower.

In recent years, multi-agent frameworks powered by large language models (LLMs) have advanced rapidly. Despite this progress, there is still a notable absence of benchmark datasets specifically tailored to evaluate their performance. To bridge this gap, we introduce Auto-SLURP, a benchmark dataset aimed at evaluating LLM-based multi-agent frameworks in the context of intelligent personal assistants. Auto-SLURP extends the original SLURP dataset -- initially developed for natural language understanding tasks -- by relabeling the data and integrating simulated servers and external services. This enhancement enables a comprehensive end-to-end evaluation pipeline, covering language understanding, task execution, and response generation. Our experiments demonstrate that Auto-SLURP presents a significant challenge for current state-of-the-art frameworks, highlighting that truly reliable and intelligent multi-agent personal assistants remain a work in progress. The dataset and related code are available at https://github.com/lorashen/Auto-SLURP/.

Foundation models have had a big impact in recent years and billions of dollars are being invested in them in the current AI boom. The more popular ones, such as Chat-GPT, are trained on large amounts of data from the Internet, and then reinforcement learning, RAG, prompt engineering and cognitive modelling are used to fine-tune and augment their behavior. This technology has been used to create models of individual people, such as Caryn Marjorie. However, these chatbots are not based on people's actual emotional and physiological responses to their environment, so they are, at best, surface-level approximations to the characters they are imitating. This paper describes how a new type of foundation model - a first-person foundation model - could be created from recordings of what a person sees and hears as well as their emotional and physiological reactions to these stimuli. A first-person foundation model would map environmental stimuli to a person's emotional and physiological states, and map a person's emotional and physiological states to their behavior. First-person foundation models have many exciting applications, including a new type of recommendation engine, personal assistants, generative adversarial networks, dating and recruitment. To obtain training data for a first-person foundation model, we have developed a recording rig that captures what the wearer is seeing and hearing as well as their emotional and physiological states. This novel source of data could help to address the shortage of new data for building the next generation of foundation models.

In rebranding artificial intelligence as Apple Intelligence, Apple Inc is banking on the idea that people by and large won't buy the powerful A.I. software that its rivals are developing. Instead, they'll want really cool hardware that incorporates A.I. It's a compelling but risky strategy for a company that specializes in seamlessly integrating hardware and software into must-have products. "It's the next big step for Apple," Apple CEO Tim Cook said Monday in unveiling Apple Intelligence at the company's developers conference. Apple is diving into artificial intelligence – focused on the idea of a "virtual personal assistant" - as a potential must-have app for consumers. Since it lacks its own cutting-edge version of the predictive, sounds-like-a-human technology known as generative A.I., Apple will license that technology from other companies, starting with OpenAI.

A walkie-talkie style gadget with an in-built chatbot is being hailed as the'iPhone of artificial intelligence'. The Rabbit r1 carries out everyday tasks for the owner, from asking a simple question to planning and booking a whole holiday. The distinctive orange gadget was unveiled at the Consumer Electronics Show in Las Vegas, known for showcasing the future of technology. Its release sounds the starting gun for the race to create a physical handheld device for chatbots, allowing people to get a digital assistant to do things for them as they go about their daily business. What's more, it only costs 159 - a fraction of the price of rival devices including Humane's AI pin, which recently went on sale for 550. A walkie-talkie style gadget with an in-built chatbot is being hailed as the ' iPhone of artificial intelligence' The R1 – which is now available on pre-order - has a rotating camera to take photos and for video calls a 2.88-inch touchscreen, and a big button that also acts as a scroll wheel The gadget works by taking control of all the owner's online accounts, requiring them to sign in and give access to all their profiles on apps such as Uber and Deliveroo.

A personal trainer called Siri has been forced to change her name to stop iPhones pinging every time someone says her name. Siri Price, 26, from Edinburgh, has put up with sharing her name with Apple's personal assistant for over a decade but reached her limit with the company's latest update. With the release of iOS 17 two weeks ago, iPhone users must simply say'Siri' to activate the hands-free assistant, when previously they had to say'Hey Siri'. The recent update means that human Siri - who was just 14 years old when the technology was first released - has been inundated with phones pinging when anyone tries to speak to her. The fitness coach said she has been left'fuming' at the constant noise.

Generative Pre-trained Transformer 4 (GPT-4) is the fourth-generation language model in the GPT series, developed by OpenAI, which promises significant advancements in the field of natural language processing (NLP). In this research article, we have discussed the features of GPT-4, its potential applications, and the challenges that it might face. We have also compared GPT-4 with its predecessor, GPT-3. GPT-4 has a larger model size (more than one trillion), better multilingual capabilities, improved contextual understanding, and reasoning capabilities than GPT-3. Some of the potential applications of GPT-4 include chatbots, personal assistants, language translation, text summarization, and question-answering. However, GPT-4 poses several challenges and limitations such as computational requirements, data requirements, and ethical concerns.

By combining the strengths of humans and machines, AI can help us achieve more than we could on our own. AI algorithms can analyze mountains of data with the efficiency of a hundred Sherlock Holmeses (yes, that is the plural of "Holmes"), identifying patterns and insights that humans might miss. In healthcare, this has led to breakthroughs in disease detection and treatment, and in finance, it has helped investors make better investment decisions -- because let's face it, we can't all be Warren Buffet. And let's not forget about AI-powered robots and machines, who have joined forces with human workers to increase efficiency and productivity. According to a recent report from PwC, AI has the potential to contribute a staggering $15.7 trillion to the global economy by 2030.

Apple is copying Amazon's Alexa with a major change to Siri, a respected leaker claims. According to Apple tipster Mark Gurman, Siri users will soon only need to say'Siri' instead of'Hey Siri' when activating the personal assistant. The change would match Alexa, the virtual assistant from rival Amazon, which requires to users to simply say'Alexa' without the word'hey' first. It could be implemented across multiple Apple operating systems, including iOS for iPhones, as well as iPadOS, watchOS, macOS and more. Gurman has already revealed Apple is planning to unveil its mixed reality headset in less than two months.