Fox News Flash top entertainment and celebrity headlines are here. James Cameron's stance on artificial intelligence has evolved over the past few years, and he feels Hollywood needs to embrace it in a few different ways. Cameron joined the board of directors for Stability AI last year, explaining his decision on the "Boz to the Future" podcast last week. "The goal was to understand the space, to understand what's on the minds of the developers," he said. How much resources you have to throw at it to create a new model that does a purpose-built thing, and my goal was to try to integrate it into a VFX workflow." He continued by saying the shift to AI is a necessary one. James Cameron wants Hollywood to implement AI more for big-budget films. WHAT IS ARTIFICIAL INTELLIGENCE (AI)? If we want to continue to see the kinds of movies that I've always loved and that I like to make and that I will go to see – 'Dune,' 'Dune: Part Two' or one of my films or big effects-heavy, CG-heavy films – we've got to figure out how to cut the cost of that in half. That's about doubling their speed to completion on a given shot, so your cadence is faster and your throughput cycle is faster, and artists get to move on and do other cool things and then other cool things, right? Cameron doesn't think films are ultimately "a big target" for companies like OpenAI. "Their goal is not to make GenAI movies.

For big fans of James Cameron's Avatar, the 13-year wait between the original and this year's sequel probably felt near interminable. But die-hard fans might have counted with a bit more agony and say it's actually been vomrra zìsìt, or "15 years." Rather, the blue-skinned Na'vi people, who inhabit the planet Pandora in Cameron's universe, have four digits per hand. As a result, their language--painstakingly built from scratch for the movies--uses base-eight counting instead of the human base-10. Fifteen in Na'vi actually means eight plus five (as opposed to 10 plus five in English), making it the equivalent of our 13.

Gizmodo is 20 years old! To celebrate the anniversary, we're looking back at some of the most significant ways our lives have been thrown for a loop by our digital tools. Like so many others after 9/11, I felt spiritually and existentially lost. It's hard to believe now, but I was a regular churchgoer at the time. Watching those planes smash into the World Trade Center woke me from my extended cerebral slumber and I haven't set foot in a church since, aside from the occasional wedding or baptism. I didn't realize it at the time, but that godawful day triggered an intrapersonal renaissance in which my passion for science and philosophy was resuscitated. My marriage didn't survive this mental reboot and return to form, but it did lead me to some very positive places, resulting in my adoption of secular Buddhism, meditation, and a decade-long stint with vegetarianism.

Look-alike modeling has been an important part of the media toolkit over the past decade, allowing brands to increase their audience pool by taking a core group of top-performing individuals, grouping them and using data and technology to find other individuals like them. Over the past several years, data management platforms (DMPs), third-party cookies and their associated data are becoming obsolete due to self-regulation by technology providers and legislation like CCPA and GDPR. The movement away from third-party cookies and third-party data overlays on cookies is causing total audience pools to drop in size as individuals have fewer associated identifiers (cookies to connect to). However, look-alike modeling can also help businesses leverage their first-party data to build robust large-scale segments for marketing and advertising purposes. Tealium's regional vice president of strategic partnerships for the Americas, Travis Cameron, explained that the value of being able to expand target populations based on data associated with a high-value segment will take on a different dimension.

Legendary director James Cameron has warned of the dangers that deepfakes pose to society. Deepfakes leverage machine learning and AI techniques to convincingly manipulate or generate visual and audio content. Their high potential to deceive makes them a powerful tool for spreading disinformation, committing fraud, trolling, and more. "Every time we improve these tools, we're actually in a sense building a toolset to create fake media -- and we're seeing it happening now," said Cameron in a BBC video interview. "Right now the tools are -- the people just playing around on apps aren't that great. But over time, those limitations will go away. Things that you see and fully believe you're seeing could be faked."