That's a pretty deep question, and I'm not sure we can actually answer it yet. What do you think?

AI agents are not just a trend—they're the future. In this video, I dive deep into what AI agents really are, how they work, and the ways they’re set to revolutionize industries, reshape our daily lives, and disrupt the global job market. From automating complex tasks to driving innovation in fields like healthcare, finance, education, and beyond, these intelligent systems are redefining what’s possible. But here’s the most important part: as AI agents transform the world, they’re also creating new opportunities. Whether you’re an entrepreneur, an AI Automation Agency (AAA) owner, a professional looking to upskill, or just curious about the future, I’ll show you practical strategies to position yourself for success in this rapidly evolving landscape.

We all know the frustration: a jumble of notes scattered across documents, half-formed ideas, and endless hours spent reorganizing. What if an AI could not only store your thoughts but actively help you structure, connect, and expand them? Enter Notebook LM, Google’s AI-powered thinking companion. It’s designed to transform raw ideas into coherent, actionable insights, helping writers, researchers, and creators work smarter without losing the spark of creativity. Could this be the AI collaborator you’ve been waiting for? Turning Notes Into Coherent Stories Notebook LM does more than capture your words—it interprets them. By analyzing the context and structure of your notes, it can generate concise summaries, highlight key points, and even suggest links between disparate ideas. Imagine feeding it a dense research paper and instantly receiving a readable, structured summary that captures every critical detail. This transforms note-taking from a chore into a discovery process, letting you focus on insights rather than organization. Notebook LM can even suggest how to combine multiple sources into one seamless narrative, making research and content creation faster and more cohesive. (ai.google.com/notebook-lm) Feature Highlights That Make Notebook LM Stand Out - Insightful Summaries: Distills long texts into clear, actionable insights. - Smart Organization: Automatically links related notes and creates structured outlines. - Idea Expansion: Suggests new angles, phrasing, and connections you may not have considered. - Support for Multiple Formats: Works with text, tables, and other structured inputs. - Collaboration Ready: Share notes and summaries with teammates in real time. - Research Assistance: Generates references, citations, or prompts for further exploration. AI That Thinks Alongside You What sets Notebook LM apart is its ability to engage with your ideas. It can propose alternate structures, suggest missing links, or offer new perspectives that challenge your initial thinking. Unlike static note-taking apps, this is a partner that nudges your creativity forward. Could having an AI co-author change the way you approach essays, reports, or brainstorming sessions? Could it help you identify patterns you might have overlooked in your own notes? And could it inspire you to explore directions you hadn’t considered before?

Job Link - Apply Here AVEVA is creating software trusted by over 90% of leading industrial companies. Salary Range: $227,100.00 - $378,700.00 This pay range represents the minimum and maximum compensation that the position offers, and final compensation can vary within the range depending on work location, job experience, skills, and relevant educational attainment and/or training. Job Title: AI Technologist Location: San Leandro, CA (Hybrid) Employment Type: full-time The job We are looking for a forward-thinking AI Technologist to join our AI Investigation and Incubation team. This role involves researching, prototyping, and evaluating emerging AI technologies to drive innovation. The ideal candidate will have a strong technical foundation and a passion for exploring new frontiers in AI. Key responsibilities - Research and evaluate emerging AI technologies and methodologies. - Prototype AI solutions and assess their feasibility for industrial applications. - Collaborate with internal teams and external partners to explore new AI applications. - Stay current with AI research and industry trends to inform long-term AI roadmaps. - Document technical findings and present recommendations to stakeholders. - Support the integration of AI technologies into pilot projects and proof-of-concepts. - Investigate and recommend AI implementation and architectural approaches for industrial AI solutions Essential requirements - Bachelor's degree in Computer Science, Artificial Intelligence, or a related field. Advanced degree preferred. - 8+ years of experience in AI research, development, or technology scouting with 3+ years in hands-on AI/ML model development/deployment. - Expertise in Python and experience with ML frameworks (e.g. TensorFlow, PyTorch, HuggingFace) - Deep understanding of AI/ML deployment architectures and strategies. - Up-to-date understanding of modern AI technologies including foundation models, agents, model context protocol, etc - Experience leading technical investigations or cross-functional initiatives. - Hands-on experience with AI model development, evaluation, and deployment. - Ability to envision the future of AI and its impact on industrial sectors.

There's been a lot of bad press recently about the advice AI gives to people. The problem is, a lot of people forget that AI can only tell you what it finds on the internet, but should it be able to tell the difference between giving good and bad advice?