S2E7: Bring Your Own Data, ChatGPT & Personal AIs with Markus Lampinen (Prifina)

In this conversation with Markus Lampinen, Co-founder and CEO at Prifina, a personal data platform, we discuss meaty topics like: Prifina’s approach to building privacy-respected apps for consumer wearable sensors; LLMs (Large Language Models) like Chat GPT; and why we should consider training our own personal AIs. Markus shares his entrepreneurial journey in the privacy world and how he is “the biggest data nerd you’ll find.” It started with tracking his own data, like his eating habits, activity, sleep, and stress, an then he built his company around that interest. His curiosity about what you can glean from one"s own data made him wonder how you could also improve your life or the lives of your customers with that data. --------- Thank you to our sponsor, Privado, the developer-friendly privacy platform --------- We discuss how to approach building a privacy-first platform to unlock the value and use of IOT / sensor data. It began with the concept of individual ownership: who should actually benefit from the data that we generate? Markus says it should be individuals themselves. Prifina boasts a strong community of 30,000 developers who align around common interests - liberty, equality & data - and build and test prototypes that are gathering and utilizing the data working for individuals, as opposed to corporate entities. The aim is to empower individuals, companies & developers to build apps that re-purpose individuals" own sensor data to gain privacy-enabled insights. --------- Listen to the episode on Apple Podcasts, Spotify, iHeartRadio, or on your favorite podcast platform. --------- Topics Covered:Enabling true, consumer-grade "data portability" with personal data clouds (a "bring your own data" approach)Use cases to illustrate the problems Prifina is solving with sensorsWhat are large language models (LLM) and chatbots trained on them, and why they are so hot right nowThe dangers of using LLMs, with emphasis on privacy harmsHow to benefit from our own data with personal AIsAdvice to data scientists, researchers and developers regarding how to architect for ethical uses of LLMsWho"s responsible for educating the public about LLMs, chatbots, and their potential harms & limitations Resources Mentioned:Learn more about PrifinaJoin Prifina"s Slack Community: Liberty.Equality.Data Guest Info:Follow Markus on LinkedInFollow Markus on Privado.ai Privacy assurance at the speed of product development. Get instant visibility w/ privacy code scans. Shifting Privacy Left Media Where privacy engineers gather, share, & learn Buzzsprout - Launch your podcast Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you. Copyright © 2022 - 2024 Principled LLC. All rights reserved.