Arnab Deka lives in Vancouver and loves the Pacific Northwest. He was never formally educated in computer science or software engineering - in fact, while he was studying civil engineering, he fell in love with building things and eventually, building software. Outside of tech, he is a family man and loves to sup with them and his dog. He also enjoys astronomy, and is known to attend a star party or 2, with his telescope in hand.
Arnab took a sabbatical from work, and on this journey, he realized that he liked deep work and interacting with customers directly - as opposed to high level strategy and planning. He met with his now co-founder in 2022, walking then Seattle lake front, and realized what podcast junkies they both were - and they decided to build something for it.
Touches on the role, evolution, and adoption of AI agents, emphasizing their growing integration into systems, while addressing key safeguarding measures to ensure AI agents can accurately use data to reason effectively.
Explores how Abnormal AI utilizes AI to detect and protect against cybersecurity threats, and how Dan and his team are leveraging AI to drive compounding productivity within their organization.
Y-Lan Boureau is the founder & CEO of ThrivePal, an OpenAI-funded AI startup, and a former Meta AI researcher. Boureau joins Big Technology Podcast to discuss why the next frontier for AI should be science‑backed coaching that nudges us toward healthier habits and deeper real‑world relationships. Tune in to hear how large‑language models can push users to lift weights, regulate emotions, and support their friends’ growth.
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In this episode of The BlueHat Podcast, host Nic Fillingham and Wendy Zenone share David Weston’s keynote from BlueHat India 2025. David explores the growing role of on-device AI in Windows, the security risks it introduces, and how Microsoft is rethinking architecture to defend against new threats like model tampering, data exfiltration, and AI-powered malware. He also shares insights on innovations like Windows Recall, biometric protection, and the future of secure, agentic operating systems.
In This Episode You Will Learn:
How AI integration in Windows (like Windows Recall and MS Paint) is evolving
Emerging threats from protocols like MCP and CUAs
What a “confused deputy” attack is, and how Microsoft is protecting users
Some Questions We Ask:
What are the biggest security threats in on-device AI—data, model, or runtime?
Can AI be used to accelerate post-compromise attacks?
What will it take to bring Azure-level confidential computing to the consumer device?
Rob Woollen lives in the San Francisco Bay Area. He grew up with a Father in IT and management, and his Mother as an English teacher. He has been programming for a long time, since the early days on his Apple 2E (yes, the green screen one). Outside of tech, he is married with 3 boys, all teenagers. He also has a 1 year old golden retriever, and spends a lot of time ensuring he lives his best life. In addition to this, he and his wife enjoy hiking around the Marin area, as they have the best hiking trials.
Rob spent many years at Salesforce, and it struck him that many of the company operations were still done on spreadsheets. When he left the company, he started exploring how to create something to support large scale data sets, within the familiar UI of spreadsheets.
Andrew McClanahan, Senior Director at LexisNexis Risk Solutions for Government Relations rejoins for Part Two of the conversation around government program integrity and he unpacks the increasing state responsibilities for service delivery and the tough financial balancing acts agencies face while grappling with program reforms, fraud prevention, and privacy protection. We also discuss Medicaid work requirements, SNAP eligibility controversies and the politics of data sharing and we tackle the practical realities and policy debates shaping public assistance programs today.
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A guide for astronauts (now, programmers using Git) about what to do when things go wrong.
Flight Rules are the hard-earned body of knowledge recorded in manuals that list, step-by-step, what to do if X occurs, and why. Essentially, they are extremely detailed, scenario-specific standard operating procedures. [...]
NASA has been capturing our missteps, disasters and solutions since the early 1960s, when Mercury-era ground teams first started gathering "lessons learned" into a compendium that now lists thousands of problematic situations, from engine failure to busted hatch handles to computer glitches, and their solutions.
Built with IDE integration in mind from the beginning
Principles
Performance
IDE first
Inference (inferring types in untyped code)
Open source
I mistakenly tried this on the project I support with the most horrible abuses of the dynamic nature of Python, pytest-check. It didn’t go well. But perhaps the project is ready for some refactoring. I’d like to try it soon on a more well behaved project.