Whether your chip is running a vintage computer game or the latest DeepSeek model, it'll reward you for speaking its native language. But if you took a look beneath the pixels--the rickety rides, the crowds of hungry, thirsty, barfing people (and the janitors mopping in their wake)--deep down at the level of the code, you saw craftsmanship so obsessive that it bordered on insane. Chris Sawyer, the game's sole developer, wrote the whole thing in assembly. Because if/when the machines take over, we should at least speak their language. Certain programming languages, like Python or Go or C++, are called "high-level" because they work sort of like human language, written in commands and idioms that might fit in at a poetry slam.

While recent studies explore Large Language Models' (LLMs) performance on Theory of Mind (ToM) reasoning tasks, research on ToM abilities that require more nuanced social context is limited, such as white lies. We introduce TactfulToM, a novel English benchmark designed to evaluate LLMs' ability to understand white lies within real-life conversations and reason about prosocial motivations behind them, particularly when they are used to spare others' feelings and maintain social harmony. Our benchmark is generated through a multi-stage human-in-the-loop pipeline where LLMs expand manually designed seed stories into conversations to maintain the information asymmetry between participants necessary for authentic white lies. We show that TactfulToM is challenging for state-of-the-art models, which perform substantially below humans, revealing shortcomings in their ability to fully comprehend the ToM reasoning that enables true understanding of white lies.

Feedback was amazed to hear that dog ownership could cause a hurricane across the other side of the world. Or are we barking up the wrong tree? Kristian Steensen Nielsen seems like a sensible type. A researcher at the Copenhagen Business School in Denmark, he studies "the role of behavior change in mitigating climate change and conserving biodiversity". In other words, how can we make our lives more environmentally friendly, and how and when do those changes scale up to become truly effective?

No, it was not a "Sputnik moment". The launch last month of DeepSeek R1, the Chinese generative AI or chatbot, created mayhem in the tech world, with stocks plummeting and much chatter about the US losing its supremacy in AI technology. Yet, for all the disruption, the Sputnik analogy reveals less about DeepSeek than about American neuroses. The original Sputnik moment came on 4 October 1957 when the Soviet Union shocked the world by launching Sputnik 1, the first time humanity had sent a satellite into orbit. It was, to anachronistically borrow a phrase from a later and even more momentous landmark, "one giant leap for mankind", in Neil Armstrong's historic words as he took a "small step" on to the surface of the moon.

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Experts say that AI will never match human creativity. Artificial intelligence is more likely to help artists make new kinds of arts. AI lacks creativity, but AI human creativity, together can create wonders.

Forget Killer Robots--Bias Is the Real Danger of artificial intelligence. Machine learning bias, also known as algorithm bias or AI bias, is a phenomenon that occurs when an algorithm produces results that are systematically prejudiced due to erroneous assumptions in the machine learning process. Oscar Wilde once argued that life imitates art more than art imitates life. Strangely, that's proving to be the case when it comes to AI development – but not in the way some had hoped. AI programs are made up of algorithms, or a set of rules that help them identify patterns so they can make decisions with little intervention from humans. But algorithms need to be fed data in order to learn those rules -- and, sometimes, human prejudices can seep into the platforms.

Bob Gourley is the co- founder of the Artificial Intelligence cybersecurity and due diligence consultancy OODA LLC . He is the publisher of CTOvision.com Bob's background is as an all source intelligence analyst and an enterprise CTO.

It is nearly impossible to traverse web news or popular media today without being assaulted by vast amounts of propaganda on Artificial Intelligence (AI). It is perhaps the fad to end all fads as it supposedly encompasses almost every aspect of human existence, from economics and security to philosophy and art. According to mainstream claims, AI can do almost everything and do it better than any human being. And, the things AI can't do, it WILL be able to do eventually. Whenever the establishment attempts to saturate the media with a particular narrative, it is usually with the intent to manipulate public perception in a way that produces self fulfilling prophecy. In other words, they hope to shape reality by telling a particular lie so often it becomes accepted by the masses over time as fact.

When I was a kid, I was certain that by the time I was a grown woman, I'd have a friendly little robot friend. Adulthood was in the FUTURE, and the FUTURE had robots like R2-D2, Threepio, Data, and so on. Alas, I am a tax-paying adult with a full-time job, and no, I do not have an adorable mechanical friend that comically beep-boops its disapproval when I get up to my hijinks and shenanigans. But around this time last year, I had an inkling of hope that this future was at least on the horizon. Mayfield Robotics's Kuri Robot was lovable, functional, and buzzworthy with its cute mannerisms and deft behavioral touches. Like, it'd wiggle and waggle as it maneuvered around a room.