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A very serious guide to buying your own humanoid robot butler

New Scientist

You can now buy a humanoid robot housekeeper for less than the price of a second-hand car. But before splashing out, there's something you need to know Science fiction is strewn with humanoid robots, from bad-tempered Bender in to cunning Ava in . And it has long seemed like that's the natural home for such robots - on the screen and in books. The idea of a walking, talking, functioning robot with two arms and two legs has appeared to be a distant dream. Last year, machines ran, boxed and even played football at China's World Humanoid Robot Games, albeit sometimes falling over in the process . Meanwhile, companies have been readying their own range of humanoids that promise to do something a bit more useful: help around the house .






New Scientist changed the UK's freedom of information laws in 2025

New Scientist

New Scientist changed the UK's freedom of information laws in 2025 By requesting copies of the then-UK technology secretary's ChatGPT logs, New Scientist set a precedent for how freedom of information laws apply to chatbot interactions, helping to hold governments to account Our successful request for Peter Kyle's ChatGPT logs stunned observers When I fired off an email at the start of 2025, I hadn't intended to set a legal precedent for how the UK government handles its interactions with AI chatbots, but that is exactly what happened. It all began in January when I read an interview with the then-UK tech secretary Peter Kyle in . Trying to suggest he used first-hand the technology his department was set up to regulate, Kyle said that he would often have conversations with ChatGPT. AI may blunt our thinking skills - here's what you can do about it That got me wondering: could I obtain his chat history? Freedom of information (FOI) laws are often deployed to obtain emails and other documents produced by public bodies, but past precedent has suggested that some private data - such as search queries - aren't eligible for release in this way. I was interested to see which way the chatbot conversations would be categorised.


Democracies must fight for freedom, Nobel laureate Machado says

The Japan Times

Ana Corina Sosa (second from left), receives the Nobel Peace Prize for her mother, Venezuelan opposition leader Maria Corina Machado, from the Chair of the Norwegian Nobel Committee Jorgen Watne Frydnes next to a photo of Machado, in Oslo on Wednesday. OSLO - Democracies must be prepared to fight for freedom in order to survive, Nobel Peace Prize laureate Maria Corina Machado said on Wednesday, in a speech delivered by her daughter during a ceremony Machado could not attend. The Venezuelan opposition leader said that the prize held profound significance, not only for her country but for the world. "It reminds the world that democracy is essential to peace," she said, via her daughter Ana Corina Sosa Machado. "And the most important, the lesson Venezuelans can share with the world, is a lesson forged on a long and difficult path: If we want democracy, we must be prepared to fight for freedom."


DIJIT: A Robotic Head for an Active Observer

Tabrizi, Mostafa Kamali, Chi, Mingshi, Dey, Bir Bikram, Yuan, Yu Qing, Solbach, Markus D., Liu, Yiqian, Jenkin, Michael, Tsotsos, John K.

arXiv.org Artificial Intelligence

We present DIJIT, a novel binocular robotic head expressly designed for mobile agents that behave as active observers. DIJIT's unique breadth of functionality enables active vision research and the study of human-like eye and head-neck motions, their interrelationships, and how each contributes to visual ability. DIJIT is also being used to explore the differences between how human vision employs eye/head movements to solve visual tasks and current computer vision methods. DIJIT's design features nine mechanical degrees of freedom, while the cameras and lenses provide an additional four optical degrees of freedom. The ranges and speeds of the mechanical design are comparable to human performance. Our design includes the ranges of motion required for convergent stereo, namely, vergence, version, and cyclotorsion. The exploration of the utility of these to both human and machine vision is ongoing. Here, we present the design of DIJIT and evaluate aspects of its performance. We present a new method for saccadic camera movements. In this method, a direct relationship between camera orientation and motor values is developed. The resulting saccadic camera movements are close to human movements in terms of their accuracy.


Ukraine firefighters rush to rescue people, pets after Russian strike

Al Jazeera

What is in the 28-point US plan for Ukraine? 'Ukraine is running out of men, money and time' Can the US get all sides to end the war? Why is Europe opposing Trump's peace plan? Firefighters evacuated residents and their pets from a nine-storey apartment building in Ukraine's Sumy region after a Russian drone strike. The strikes come as Ukrainian President Volodymyr Zelenskyy met with leaders of the UK, France and Germany in London to discuss the US peace plan.


Mathematical Framing for Different Agent Strategies

Stephens, Philip, Salawu, Emmanuel

arXiv.org Artificial Intelligence

We introduce a unified mathematical and probabilistic framework for understanding and comparing diverse AI agent strategies. We bridge the gap between high-level agent design concepts, such as ReAct, multi-agent systems, and control flows, and a rigorous mathematical formulation. Our approach frames agentic processes as a chain of probabilities, enabling a detailed analysis of how different strategies manipulate these probabilities to achieve desired outcomes. Our framework provides a common language for discussing the trade-offs inherent in various agent architectures. One of our many key contributions is the introduction of the "Degrees of Freedom" concept, which intuitively differentiates the optimizable levers available for each approach, thereby guiding the selection of appropriate strategies for specific tasks. This work aims to enhance the clarity and precision in designing and evaluating AI agents, offering insights into maximizing the probability of successful actions within complex agentic systems.