Compiler

Phishing. DDoS attacks. Social engineering. These are not new terms if you know anything about cybersecurity. But emerging technologies are making these well-known methods of attack easier than ever. Bad actors are paying attention—and they are leveling up their skills accordingly. It isn’t just cybersecurity professionals who have to be aware and responsive– people working in product security are a part of the effort, too. What do they need to know to respond to these newer attacks? This season, hosts Emily Bock and Vincent Danen will dig into how the security landscape has changed, and how IT professionals can work together to prevent and prepare for whenever, wherever, and however threats emerge.

The conversation dives into how AI is reshaping healthcare, from analyzing radiographic images to enhancing clinician workflows. Human oversight is emphasized as critical in managing patient data for better outcomes. There's a thought-provoking discussion on the challenges of creativity in the age of AI, exploring concerns about originality and emotional depth in content. Finally, the importance of continuous learning and ethical considerations in tech are highlighted, alongside heartfelt reflections on community and connection throughout the season.

Agentic AIs are showing promise for tedious work. But it’s hard to explain exactly how you want it done—and getting it wrong could create big problems. This episode of Compiler investigates how Agentic AIs could carry out their tasks and how some agents are taking their baby steps in the wide world. The team also considers the difficulties humans have expressing what we want computers to do for us, and how that could create unintended consequences.

Does your health insurance chatbot need to tell jokes? No. Does it need to be accurate? Absolutely. That's hard when biases get in the way. The introduction of bias into a model can be unintentional, but it can have significant consequences for those relying on its guidance. The Compiler team examines the ways bias can creep in, and what steps can be taken to address it.

AI is notorious for making stuff up. But it doesn’t always tell you when it does. That’s a problem for users who may not realize hallucinations are possible. This episode of Compiler investigates the persistent problem of AI Hallucination. Why does AI lie? Do these AI models know they’re hallucinating? What can we do to minimize hallucinations—or at least get better at seeing them?

With the massive flow of AI-generated content onto the internet, it was only a matter of time until all of those bits of data found their way back into AI models. But what do you get when generative AI models start getting their answers from that content? The Compiler team digs into AI feedback loops, and the unique challenges they present for technologists...and everyone else.

Dive into the world of AI and unravel the tangled web of copyright issues! Discover how generative models grapple with the ownership of outputs and the responsibilities of developers in securing permissions for data. Explore the balance between originality and compliance in AI design, alongside the risks of copyright infringement in model training. Learn why understanding data rights is crucial as AI technology evolves, and why consulting legal experts is vital for navigating these complexities.

Discover the intricate journey of building AI models with unique requirements. Explore how AI is revolutionizing oral history preservation and learn about the crucial role of data management. Join the conversation on the balance between starting small and scalable experimentation in AI projects. Delve into an ambitious endeavor to create a real-life Iron Man suit with AI integration. Lastly, consider the financial implications of running AI on personal hardware versus commercial solutions. Uncover the boundless potential of compact AI technology!

There is a lot of excitement around AI models, but can it meet the expectations set by blockbuster movies? What’s the current inflection point between what’s feasible and what’s not?The Compiler team talks to both big dreamers and heavy adopters wading into the space, hearing their thoughts on how AI can help scale daunting work, fill in the gaps, and make the fantastic into reality. 

Dive into the fascinating evolution of artificial intelligence, from its uncertain beginnings to its integral role in daily life. Discover how iconic figures like Alan Turing shaped AI's trajectory, and explore the cultural implications of tech in media. Hear personal stories of AI projects influencing careers and the complexities of relying on tools like ChatGPT for coding. The impact of automation in gaming also showcases AI's transformative power, emphasizing ethical use as we navigate the future of technology.