It has been over two years since ChatGPT exploded onto the world stage and, while OpenAI has advanced it in many ways, there's still quite a few hurdles. Now, Austrian advocacy group Noyb has filed its second complaint against OpenAI for such hallucinations, naming a specific instance in which ChatGPT reportedly -- and wrongly -- stated that a Norwegian man was a murderer. To make matters, somehow, even worse, when this man asked ChatGPT what it knew about him, it reportedly stated that he was sentenced to 21 years in prison for killing two of his children and attempting to murder his third. The hallucination was also sprinkled with real information, including the number of children he had, their genders and the name of his home town. Noyb claims that this response put OpenAI in violation of GDPR.

Amazon's long-awaited update to its assistant is almost here. About 18 months after the company first previewed the "next-gen Alexa" built with generative AI, it unveiled Alexa, and early access will be available starting in March. Alexa will exist alongside the older Alexa and will cost 20 a month, unless you have a Prime membership, which will make it free to use. The new assistant will come with all the modern upgrades that its contemporaries like the redesigned Siri or Gemini offer, like more conversational interaction, better contextual understanding and the ability to "summarize complex topics" and "make suggestions based on your interests." But it does one thing differently, and it's the way Amazon purports to integrate with third-party apps and the rest of the internet that could set it apart.

A little more than a year ago, the world seemed to wake up to the promise and dangers of artificial intelligence when OpenAI released ChatGPT, an application that enables users to converse with a computer in a singularly human way. Within five days, the chatbot had a million users. Within two months, it was logging a hundred million monthly users--a number that has now nearly doubled. Call this the year many of us learned to communicate, create, cheat, and collaborate with robots. Shortly after ChatGPT came out, Google released its own chatbot, Bard; Microsoft incorporated OpenAI's model into its Bing search engine; Meta débuted LLaMA; and Anthropic came out with Claude, a "next generation AI assistant for your tasks, no matter the scale."

There is a lot of excitement around the potential applications of large language models (LLM). We're already seeing LLMs used in several applications, including composing emails and generating software code. But as interest in LLMs grows, so do concerns about their limits; this can make it difficult to use them in different applications. Some of these include hallucinating false facts, failing at tasks that require commonsense and consuming large amounts of energy. Here are some of the research areas that can help address these problems and make LLMs available to more domains in the future.

Tech experts are sold on the benefits of leveraging artificial intelligence to help humans handle cumbersome and sometimes complex tasks in applications ranging from business to healthcare to education and entertainment--and beyond. And while they're optimistic about the future capabilities of artificial intelligence, their projections pale in comparison to the sentient robots and super technologies often depicted on TV and movie screens and predicted in science fiction. In truth, AI is a far more practical tool than a glamorous one--and whether we know it or not, most of us use it or are impacted by it every day. Conversely, there are also many things AI is credited with that it can't do (at least, not yet). Below, 16 members of Forbes Technology Council discuss some of the things popular culture and the public at large often get wrong about AI and what the truth of the matter actually is.

The new world powered by Artificial Intelligence is all around us nowadays. From Alexa to self-driving cars to smart homes, AI is changing the way in which we interact with this world. A lot of people ( and some guy called Elon Musk) have also mentioned quite a bit about the dangers of AI and how it can lead to humanity as we know it. Can an AI make mistakes? And how serious can these mistakes be?

The potential number of applications for machine learning has grown tremendously in the last several years, as AI models become increasingly more powerful. Machine learning is already being used in many areas of daily life, whether that's in recommendation algorithms, self-driving cars, or being used in novel ways in fields like research or finance. Even more promising is how machine learning models might someday revolutionize healthcare, and may even help us grapple with impossibly complex issues like mitigating climate change. But despite the great potential of machine learning models, they are not foolproof and can make mistakes -- sometimes with disastrous consequences. These unintended impacts are all the more concerning when image recognition algorithms are being increasingly used in evaluating people's biometric data.

In a small but multi-institutional study, an artificial intelligence-based system improved providers' assessments of whether patients with bladder cancer had complete response to chemotherapy before a radical cystectomy (bladder removal surgery). Yet the researchers caution that AI isn't a replacement for human expertise and that their tool shouldn't be used as such. "If you use the tool smartly, it can help you," said Lubomir Hadjiyski, Ph.D., a professor of radiology at the University of Michigan Medical School and the senior author of the study. When patients develop bladder cancer, surgeons often remove the entire bladder in an effort to keep the cancer from returning or spreading to other organs or areas. More evidence is building, though, that surgery may not be necessary if a patient has zero evidence of disease after chemotherapy.

Consider an alternative history for the war in Ukraine. Intrepid Ukrainian Army units mount an effort to pick off Russian supply convoys. But rather than rely on sporadic air cover, the Russian convoys travel under a blanket of cheap drones. The armed drones carry relatively simple artificial intelligence (AI) that can identify human forms and target them with missiles. The tactic claims many innocent civilians, as the drones kill nearly anyone close enough to the convoys to threaten them with anti-tank weapons.

Consider an alternative history for the war in Ukraine. Intrepid Ukrainian Army units mount an effort to pick off Russian supply convoys. But rather than rely on sporadic air cover, the Russian convoys travel under a blanket of cheap drones. The armed drones carry relatively simple artificial intelligence (AI) that can identify human forms and target them with missiles. The tactic claims many innocent civilians, as the drones kill nearly anyone close enough to the convoys to threaten them with anti-tank weapons.