Open Source vs. Closed Source, Memory Chips Eat AI Profits, Comcast Restructures | Diet TBPN
TBPN
Jun 29
Open Source vs. Closed Source, Memory Chips Eat AI Profits, Comcast Restructures | Diet TBPN
Open Source vs. Closed Source, Memory Chips Eat AI Profits, Comcast Restructures | Diet TBPN

TBPN
Jun 29
Shownote
Shownote
Diet TBPN delivers the best of today’s TBPN episode in 30 minutes. TBPN is a live tech talk show hosted by John Coogan and Jordi Hays, streaming weekdays 11–2 PT on X and YouTube, with each episode posted to podcast platforms right after. Described by ...
Highlights
Highlights
This episode of TBPN dives into the latest tech news, starting with a Wall Street Journal report on China's open-weight AI model that matches US performance in security bug detection, reigniting the open-source versus closed-source debate. The conversation then explores the economics of AI models, a security gap between open and closed systems, and a surprising move by Google to restrict Meta's access to its AI capacity.
Chapters
Chapters
China's AI Model Matches US Rivals: Is Open Source a National Security Risk?
00:00The Cost of Intelligence: Why Open-Source Models Might Be Cheaper but Not Better
05:39The Security Gap: Can Open-Source AI Be Trusted Against Cyberattacks?
11:16Google Cuts Off Meta's AI Access, and a Brain-Reading Device That Reads Your Thoughts
19:23Memory Prices Skyrocket, Sports Betting Booms, and What It Means for Your Wallet
27:44Transcript
Transcript
John Coogan: Well, on the front of the Wall Street Journal today, this is how you know, this is the whole AI 2027, Washington waking up. The AI stories are making it to the front page, the world news section, not just the business and finance section, more...