Episodes
-
In this episode of Tech with Travis, Travis and Carter explore the rapid rise of AI agents and their growing impact on various industries. They discuss advancements like Auth0's "Auth for Gen AI," which authenticates AI agents, and applications in finance, such as Robinhood's autonomous financial assistants. In healthcare, AI tools like Shubham Saboo's diagnostic agent analyze medical scans and generate reports, raising both excitement and ethical concerns. The conversation highlights the balance between innovation and responsibility, emphasizing the importance of transparency and regulation as AI reshapes jobs, privacy, and collaboration. Ultimately, they encourage thoughtful engagement with AI's development.
-
In this episode of Tech with Travis, we explore how AI is reshaping the job market and why uniquely human skills—like emotional intelligence, adaptability, and physical abilities—are becoming more valuable than ever. Joined by my trusty AI assistant, Carter, we dive into how the future of work isn’t about competing with AI but complementing it. From construction to healthcare, success lies in blending technical expertise with human connection. As we wrap up 2024, let’s embrace our humanity, invest in lifelong learning, and step confidently into an AI-driven world. Happy New Year—here’s to an incredible 2025! 🎉
-
Missing episodes?
-
This episode of Tech with Travis dives into predictions for the role of AI agents in 2025, exploring how they might create jobs. The episode highlights the rapid adoption of AI agents across industries, driven by advancements in technology and economic pressures. These systems excel at tasks like customer service, supply chain management, and market analysis, augmenting rather than replacing human capabilities. While challenges like ethical concerns and operational costs remain, the podcast emphasizes the importance of adaptability and collaboration between humans and AI.
-
In this episode of Tech with Travis, the focus is on OpenAI's groundbreaking O3 model and its implications for Artificial General Intelligence (AGI). Travis explains that AGI refers to AI systems capable of performing any intellectual task a human can, marking a significant leap from today's specialized AI. OpenAI's O3 showcases advanced reasoning abilities, including a "private chain of thought" method for tackling complex problems and adaptive thinking for varying task difficulties. It excels in benchmarks like SWE Bench (coding), AIME (math), and GPQA Diamond (science), surpassing its predecessor, O1. While O3 isn't true AGI, it represents a critical step toward that goal.
-
This podcast episode of Tech with Travis explores groundbreaking advancements in quantum computing and AI. It highlights Google's quantum chip, Willow, which performed a calculation in under five minutes that would take classical supercomputers 10 septillion years, leveraging qubits' unique ability to exist in multiple states. The discussion also covers potential applications, such as revolutionizing drug discovery and combating climate change, while noting risks like breaking encryption. Additionally, the episode introduces Google's Gemini 2 Flash, a multimodal AI capable of handling text, images, video, and audio simultaneously. The host emphasizes the transformative potential of these technologies while urging ethical considerations and proactive guidance.
-
In this episode of Tech with Travis, Travis discusses the transformative role of AI agents in software development and DevOps. These intelligent systems act as tireless assistants, automating repetitive tasks, optimizing workflows, and solving problems efficiently. Tools like Amazon Q Developer and Claude Desktop enhance debugging, testing, and cloud management through features like automated bug fixes and natural language commands. While AI agents improve productivity and reliability, they are designed to augment rather than replace human engineers. By handling mundane tasks, they empower developers to focus on creative and strategic work, paving the way for innovation and democratizing complex technologies.
-
Welcome back to Tech with Travis, where we delve into AI and cloud technology. Today, we explore the quirky yet serious issue of data poisoning in AI. Imagine training your dog to fetch, but it brings back a shoe instead of a ball—that's data poisoning! We discuss notable cases like Google DeepMind's ImageNet incident and the ConfusedPilot attack on RAG systems. These examples highlight how corrupted data can lead to unreliable AI outcomes. To combat this, we recommend enhanced data validation, secure training environments, and continuous monitoring. Stay informed and secure, and remember: never trust an AI that thinks bananas belong in a toaster!
-
In this episode of Tech with Travis, Travis explores prompt injection, a vulnerability where attackers manipulate large language models (LLMs) through malicious inputs, causing unintended actions. Using humorous examples like an AI drafting a resignation letter instead of a polite email or spilling confidential data, Travis highlights the bizarre and serious consequences of such attacks, including unauthorized access, misinformation, and data breaches. He discusses mitigation strategies like input validation, layered defenses, and user training to safeguard AI systems. With wit and satire, Travis emphasizes the importance of vigilance in navigating this fascinating yet frightening AI security challenge.
-
In this episode of “Tech with Travis”, host Travis Burmaster explores how artificial intelligence (AI) is reshaping the workforce. AI is automating routine tasks, enabling workers to focus on creative and complex roles, while also creating new jobs like data analysts and AI developers. Industries such as healthcare, finance, and manufacturing are benefiting from AI’s capabilities in diagnosing diseases, optimizing investments, detecting fraud, and improving operational efficiency. However, challenges like ethical concerns, data privacy, algorithmic bias, and the skills gap must be addressed. AI’s economic impact is significant, boosting productivity and requiring workers to adapt with new skills. Overall, AI offers transformative opportunities but demands careful integration and policy planning for equitable benefits.
-
In this episode of Tech with Travis, we explore the critical issue of data entitlements and their risks, especially in the context of AI tools like large language models (LLMs). Data entitlements, which define user access rights within an organization, can become problematic when mismanaged. This can lead to 'toxic combinations' of permissions, enabling fraud and data breaches. LLMs such as Microsoft Copilot can exacerbate these risks by accessing vast amounts of data based on user permissions, potentially exposing sensitive information if controls are lax. Real-world examples include significant breaches at AT&T and a background check company, where millions of records were compromised due to poor entitlement management. The episode highlights the dangers of entitlement creep and offers solutions like fine-grained access controls, regular audits, and zero-trust principles to mitigate these risks. The discussion underscores the importance of managing data entitlements to protect organizational data effectively.
-
In the latest episode of Tech with Travis, host Travis reviews the highlights of AWS re:Invent 2024. Key announcements include Amazon Nova, a suite of generative AI models optimized for tasks like content creation and AI assistants, delivering lower costs and latency. Amazon SageMaker received a major upgrade with the Unified Studio and Lakehouse, integrating data exploration, analytics, and AI development into one platform. AWS also introduced Aurora DSQL, a high-performance serverless SQL database, and Trainium 2 Instances for scalable AI training. Sustainability was emphasized with energy-efficient infrastructure, while developers gained productivity tools like Amazon Q Developer.
Thank you for listening!
-
This episode on Tech with Travis, we explore the game-changing potential of generative AI. Google Cloud’s Gemini 1.5 Pro, now in public preview, offers long context understanding (up to a million tokens) and multimodal capabilities, transforming enterprise tasks like document analysis and data management. In retail, AI enhances customer experiences with personalized shopping advisors and boosts security through computer vision. Meanwhile, NVIDIA is helping businesses unlock insights from unstructured data and optimize operations using digital twins, virtual replicas that improve efficiency in industries like automotive and construction. The key trend? AI is evolving into a strategic partner, driving innovation and scalability across sectors. Tune in for more insights, and don’t forget to subscribe for the latest in tech!
