Remember The Sims? Well Stanford created a small virtual world with 25 ChatGPT-powered "people". The simulation ran for 2 days and showed that AI-powered bots can interact in a very human-like way. They planned a party, coordinated the event, and attended the party within the sim. A summary of it can be found on the Cornell University website. That page also has a download link for a PDF of the entire paper (via Reddit).

The use of Large Language Models (LLMs) is the fine tuning AI engines like ChatGPT need to focus the scam email output to only effective content that results in a wave of new email scams.

AI coding is here, and it’s transforming the way we create software. The use of AI in coding is actively revolutionizing the industry and increasing developer productivity by 55%. However, just because we can use AI in coding doesn't mean we should adopt it blindly without considering the potential risks and unintended consequences.

With all the overwrought hype with ChatGPT and AI…much of it earned…you could be forgiven for thinking that only the bad actors are going to be using these advanced technologies and the rest of us are at their mercy. But this is not an asymmetric battle where the bad actors use AI and the rest of us are struggling using our pencils and abacuses to catch up. It is the good side that invented and is accelerating AI. It is the good scientists that made ChatGPT and all of its competitors.

Anticipation leads people to suspend their better judgment as a new campaign of credential theft exploits a person’s excitement about the newest AI systems not yet available to the general public. On Tuesday morning, April 11th, Veriti explained that several unknown actors are making false Facebook ads which advertise a free download of AIs like ChatGPT and Google Bard.

The impact of artificial intelligence (AI) on cybersecurity is quickly becoming a major topic as organizations across the world begin the race to adopt AI technology into their products, business models, or security programs. AI is quickly emerging as a field that has the potential to revolutionize the field of cybersecurity. However, the use of AI in cybersecurity brings on new challenges and risks just as much as it provides new and innovative solutions.

Getting the benefits of AI threat detection tools is becoming less of an option for security operation centres (SOCs). Last year, the UK experienced more cyber attacks than any other country in Europe. According to IBM’s X-Force Threat Intelligence Index report, nearly half (43%) of all cyber attacks in Europe targeted UK-based organisations.

When I wrote my first applications in high school, coding was a lot more time-consuming. I didn’t have libraries I could shop through with ready-made bits of code to drop in to save myself time or bridge the gap between the pieces of code I could write to create something more complex. Instead, I had to write everything from scratch. If I wanted to include any kind of image, I would have to draw it with mathematical coordinates, which took a ton of time.

In 1999, a far-fetched movie about a dystopia run by intelligent machines captured our imaginations (and to this day, remains my favorite film). Twenty-four years later, the line between fact and fiction has all but vanished and the blockbuster hits much differently. Are we entering the Matrix? Are we already in it? Can anyone be sure?

This MIT Technology Review headline caught my eye, and I think you understand why. They described a new type of exploit called prompt injection. Melissa Heikkilä wrote: "I just published a story that sets out some of the ways AI language models can be misused. I have some bad news: It’s stupidly easy, it requires no programming skills, and there are no known fixes.