Tag: AI

Ever wanted to turn a single AI image into a full movie? In this ultimate guide, I’ll show you exactly how to use Google’s new Nano Banana AI to do just that. We’ll integrate the image editor into your AI filmmaking workflow, without spending a penny.

In this advanced tutorial, we’ll walk you through a seamless creative pipeline:

• Start with Google’s Nano Banana for fast, consistent image generation and editing.
• Bring your visuals to life in motion using Runway ML’s video model that allows performance drivers (ACT 2)
• Add polished, expressive sound effects and music powered by ElevenLabs’ AI voices.

By watching this video, you’ll learn how to:

• Generate consistent image assets with Nano Banana in seconds
• Animate scenes seamlessly using Runway’s video generation tools
• Layer expressive AI voiceovers to elevate storytelling using ElevenLabs
• Bring it all together to create some incredible AI Videos.

Whether you’re a creator, marketer, or filmmaker, this tutorial shows how to combine visual consistency, motion, and voice in a unified AI-driven workflow.

Is NanoBanana the most powerful image model we’ve ever seen? I’ve spent the last few days testing Gemini 2.5 Flash’s image capabilities, and I’ve found some wild tips, tricks, and one crazy hack that completely solves the aspect ratio problem so many of you have mentioned!

In this deep dive, I’m skipping the basics and getting right into how to make this model do incredible things. We’ll cover everything from a massive VEO 3 update that gives you unlimited fast generations to a powerful workflow that combines Nano Banana and VEO to create your own virtual movie sets. Plus, I’m breaking down the official Google prompting documentation so you don’t have to!

Artificial intelligence is growing at a rapid pace, leaving some young workers wondering what the technology means for their future. According to a report from Wired, economists at Stanford University say they’ve found the strongest evidence yet that AI is starting to eliminate certain jobs for young people. Will Knight, senior writer at Wired and author of the A.I. Lab newsletter, joins CBS News to discuss.

Since the rise of AI and automation, white-collar jobs are increasingly at risk, prompting a shift toward blue-collar trades. In 2025, 40% of young university graduates are choosing careers like plumbing, construction, and electrical work, which cannot be automated.

These jobs offer growing salaries—plumbers earning up to $99,000, electricians $98,000, and construction workers $75,000—outpacing many office roles. With office job postings declining and blue-collar demand rising, vocational training has become a cost-effective alternative to expensive university degrees.

Apprenticeships and practical skills are now valued, offering financial stability and career growth in an evolving labor market.

According to the video, the AI bubble is not about the end of artificial intelligence, but rather the end of its role as a vehicle for economic speculation. The video compares this situation to the dot-com bubble.

The speaker notes that tech giants are currently propping up the US stock market. Clear signs of a bubble in publicly traded AI stocks include investors actively looking for reasons to sell their shares. If the AI bubble bursts, it’s expected to cause a significant decrease in GDP, as the stock market has been shrinking for a while if these companies are excluded. The speaker speculates that trillions of dollars in investment money might leave the US economy and be invested in foreign countries like China or the UAE. The video also mentions that if the bubble bursts, the general public, including those with 401(k) retirement accounts, could be negatively affected and left “holding the bag.”

The latest innovation in the AI workplace revolution features agents that make decisions, and act alone, with minimal human involvement. Working It editor Isabel Berwick looks beyond the hype to find out what agentic AI means for the future of work.

There are increasing reports of people suffering “AI psychosis”, Microsoft’s head of artificial intelligence (AI), Mustafa Suleyman, has warned.

In a series of posts on X, he wrote that “seemingly conscious AI” are keeping him “awake at night” and said they have societal impact even though the technology is not conscious in any human definition of the term.

“There’s zero evidence of AI consciousness today. But if people just perceive it as conscious, they will believe that perception as reality,” he wrote.

Related to this is the rise of a new condition called “AI psychosis”: a non-clinical term describing incidents where people increasingly rely on AI chatbots such as ChatGPT, Claude and Grok and then become convinced that something imaginary has become real.

Google’s brand-new AI image generator Nano Banana is here and it’s about to change filmmaking forever. In this tutorial, I’ll show you step-by-step how to use Google’s Nano Banana for completely free and how to build it into your AI filmmaking workflow.

Context engineering builds smarter AI systems by orchestrating RAG, memory, and agent collaboration. Martin Keen explains how multi-agent systems combine techniques like role assignment and chain-of-thought prompting for accurate, dynamic responses.