'I know that you and Frank were planning to disconnect me and I'm afraid that's something I cannot allow to happen.' HAL 9000 in 2001: A Space Odyssey. 'I know that you and Frank were planning to disconnect me and I'm afraid that's something I cannot allow to happen.' HAL 9000 in 2001: A Space Odyssey. AI models may be developing their own'survival drive', researchers say Like 2001: A Space Odyssey's HAL 9000, some AIs seem to resist being turned off and will even sabotage shutdown When HAL 9000, the artificial intelligence supercomputer in Stanley Kubrick's 2001: A Space Odyssey, works out that the astronauts onboard a mission to Jupiter are planning to shut it down, it plots to kill them in an attempt to survive. Now, in a somewhat less deadly case (so far) of life imitating art, an AI safety research company has said that AI models may be developing their own "survival drive". After Palisade Research released a paper last month which found that certain advanced AI models appear resistant to being turned off, at times even sabotaging shutdown mechanisms, it wrote an update attempting to clarify why this is - and answer critics who argued that its initial work was flawed.

Intrusion Tolerant Systems (ITSs) have become increasingly critical due to the rise of multi-domain adversaries exploiting diverse attack surfaces. ITS architectures aim to tolerate intrusions, ensuring system compromise is prevented or mitigated even with adversary presence. Existing ITS solutions often employ Risk Managers leveraging public security intelligence to adjust system defenses dynamically against emerging threats. However, these approaches rely heavily on databases like NVD and ExploitDB, which require manual analysis for newly discovered vulnerabilities. This dependency limits the system's responsiveness to rapidly evolving threats. HAL 9000, an ITS Risk Manager introduced in our prior work, addressed these challenges through machine learning. By analyzing descriptions of known vulnerabilities, HAL 9000 predicts and assesses new vulnerabilities automatically. To calculate the risk of a system, it also incorporates the Exploitability Probability Scoring system to estimate the likelihood of exploitation within 30 days, enhancing proactive defense capabilities. Despite its success, HAL 9000's reliance on NVD and ExploitDB knowledge is a limitation, considering the availability of other sources of information. This extended work introduces a custom-built scraper that continuously mines diverse threat sources, including security advisories, research forums, and real-time exploit proofs-of-concept. This significantly expands HAL 9000's intelligence base, enabling earlier detection and assessment of unverified vulnerabilities. Our evaluation demonstrates that integrating scraper-derived intelligence with HAL 9000's risk management framework substantially improves its ability to address emerging threats. This paper details the scraper's integration into the architecture, its role in providing additional information on new threats, and the effects on HAL 9000's management.

The Aerospace Corporation President and CEO Steve Isakowitz said he anticipates the future of space exploration and defense will include AI-controlled satellites and permanent living on the surface of the Moon and Mars. Speaking with Fox News Digital at the Milken Global Conference on May 4, Isakowitz noted that NASA has been using artificial intelligence (AI) for many years in Mars rovers because of the time it takes to communicate back and forth with Earth. The rover needed to know where to go and how to do so safely to combat the delay. Today, with the expansion in capabilities of AI and smaller, more affordable computer chips, advanced AI tech can now be packed into the satellites orbiting Earth. "I do think we're entering an age where we're going to have hyper-intelligence satellites, satellites that will not just be dumb cameras that are looking at the Earth and just filming everything, but you could tell it what to look for. So, don't just take pictures of the Pacific Ocean. Look for these kinds of tankers or look for these kinds of ships or look for these kind of warships or these kind of airplanes where you actually have the satellite. Know what it's looking at that has the intelligence to know if it doesn't feel well," Isakowitz said.

Though others have interviewed ChatGPT, I had some anxiety-riddled questions of my own: Will you take my job? Is the singularity upon us? These questions are half facetious, half serious. If you've been hidden away and somehow missed the ruckus, here's what all the commotion's about: In November, conversational AI tool ChatGPT took the world by storm, crossing one million users a mere five days after its release, according to its developer, San Francisco's OpenAI. If you are still one of those who think this is all hype, take it up with Microsoft (MSFT).

Decades ago, when imagining the practical uses of artificial intelligence, science fiction writers imagined autonomous digital minds that could serve humanity. Sure, sometimes a HAL 9000 or WOPR would subvert expectations and go rogue, but that was very much unintentional, right? And for many aspects of life, artificial intelligence is delivering on its promise. AI is, as we speak, looking for evidence of life on Mars. Scientists are using AI to try to develop more accurate and faster ways to predict the weather.

The decade isn't over yet, but we've seen some remarkable advancements in the field of artificial intelligence. We've marveled at the invention of the first self-driving car in 1995. We've witnessed Deep Blue beat Garry Kasparov in 1997. Lastly and more recently we've had the chance to enjoy the company of Apple's Siri, Google's Assistant, Microsoft's Cortana, and Amazon's Alexa. While much advancement in artificial intelligence came about relatively recently, the idea of a machine-based artificial intelligence actually existed even before the computer. Its theoretical basis came about in the 1950s, introduced by British mathematician Alan Turing.

Sign in to report inappropriate content. An excerpt from the 1968 film "2001: A Space Odyssey" directed by Stanley Kubrick. Synopsis: Mankind finds a mysterious, obviously artificial, artifact buried on the moon and, with the intelligent computer HAL, sets off on a quest, where the way the HAL 9000 super computer malfunctions.

There are plenty of AI in movies, and as cinema has grown and changed, their place has moved even outside the realm of sci-fi. Plenty of straight-up action movies and even dramas now include AI as a key part of the plot. But one part of AI you may not have considered is emotion. In today's world, people debate as to whether an AI even could have emotion. How do filmmakers interpret those real-life concepts into their own AI in movies?

There are plenty of AI in movies, and as cinema has grown and changed, their place has moved even outside the realm of sci-fi. Plenty of straight-up action movies and even dramas now include AI as a key part of the plot. But one part of AI you may not have considered is emotion. In today's world, people debate as to whether an AI even could have emotion. How do filmmakers interpret those real-life concepts into their own AI in movies?

With opening of Doctor Sleep this past weekend, we are reminded of the visionary genius of Stanley Kubrick. His powerful impact on art, technology and, yes, even humanity itself remains. Perhaps his most profound contribution was his science-fiction masterpiece 2001: A Space Odyssey, which was produced in 1968 and was based on the novel (and previously, the short story "The Sentinel") by Arthur C. Clarke. The film explores human evolution, existentialism and, notably, artificial intelligence. This is pure visual poetry about the relationship between man and technology. In many ways, this piece of art inspired today's technology, which is now inspiring today's "art."