Most of us know that the answers any AI tool gives you come straight from the internet, but could it ever unlearn something? Does it just depend on whether its info source is deleted?

Yuval Noah Harari sits down with Jordan Klepper to discuss his new book, “Nexus: A Brief History of Information Networks From the Stone Age to AI.” They talk about how people deal with an overflow of information, whether or not AI is an existential threat, the importance of human understanding in bureaucracy, and why there’s still hope.

From misty sunrises to neon-lit cityscapes, your words can now paint the picture. Google Imagen 3, the latest breakthrough from Google DeepMind, transforms even the most abstract ideas into photorealistic visuals—instantly. No sketchpad, no training, just pure creative flow. Whether you're a storyteller, designer, or simply someone with a vivid mind, this AI platform makes visual creation feel intuitive, accessible, and almost telepathic. So what happens when your words become a lens—and AI sees exactly what you mean? From Prompts to Photorealism Google Imagen 3 transforms natural language prompts into high-quality images with astonishing realism. Users can specify lighting, perspective, color schemes, and even the mood of a scene. Whether you’re a designer, marketer, educator, or hobbyist, Imagen 3 allows you to visualize ideas that were previously impossible to produce quickly. The platform also allows for iterative experimentation, letting you tweak prompts, adjust details, and explore multiple variations until your vision is fully realized. Feature Highlights That Make Imagen 3 Stand Out - Photorealistic Image Generation: Create images that feel like photographs, capturing minute details and textures. - Complex Prompt Understanding: The AI interprets nuanced instructions, turning even abstract concepts into coherent visuals. - Advanced Scene Composition: Maintains proper perspective, proportion, and spatial relationships, even in complicated scenes. - Style Diversity: Generate images in realistic, cinematic, or stylized artistic styles to suit your creative needs. - High-Resolution Outputs: Ideal for professional presentations, product mockups, or print-ready visuals. - Transparency with SynthID Watermarking: Each image is digitally watermarked to indicate AI creation. Why Imagen 3 Feels Magical What makes Imagen 3 extraordinary is how effortlessly it converts vague ideas into detailed visuals. Users can experiment with variations, adjusting small details in their prompts and seeing the scene evolve instantly. This level of creative freedom turns experimentation into a playground, allowing unexpected discoveries and new ideas to flourish.

Job Link - Apply Here NVIDIA is seeking an outstanding AI Engineer or Solutions Architect to join our growing team focused on partner enablement for Generative AI. In this role, you will lead by example, acting as both a strategic technical expert and a hands-on developer. You will directly build innovative proof-of-concept solutions and reference architectures for innovative AI applications, demonstrating the full power of the NVIDIA accelerated Generative AI platforms. By developing these foundational solutions, you will provide partners with the technical blueprints and expert guidance needed to architect and deploy their own transformative applications using NVIDIA full AI stack, from GPU systems and CUDA to NeMo and Triton. The Generative AI Partners Enablement SA team is dedicated to applying next-generation technologies to solve customer problems. We act as trusted advisors and technical partners to our ecosystem. As a member of NPN Generative AI Solution Architecture team, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world by applying accelerated computing AI and solving category-defining systems and production-grade AI solutions at scale. What You Will Be Doing - Serve as the primary technical domain expert for pre- and post-sale for partners, embedding deeply with them to design and deploy Generative AI solutions. Maintain strong relationships with leadership and technical teams to drive adoption and successful utilization of NVIDIA GenAI platforms. - Accelerate partner/customer time to value by providing repeatable reference architecture guidance, building hands-on prototypes, and advising on standard methodologies for scaling solutions to production. - Define the scope, success metrics, and evaluation criteria for partner-led customer projects, ensuring they are built on standardized and reproducible GPU-accelerated workflows. - Enable strategic partners to launch their own Professional Services and platforms by tailoring NVIDIA agentic AI blueprints for high-impact customer workloads. You will proactively find opportunities to drive deeper adoption and utilization of NVIDIA's Generative AI products. - Codify knowledge and operationalize technical success practices to help partners scale impact across industries and workloads.

Perhaps the better question would be, can it become smarter? But if it does, where does that leave us?