In this episode of Hashtag Trending with Jim Love, we discuss China's directive for data centers to use 50% domestic AI chips, Adobe, Grammarly, and Otter AI's push to incorporate AI features, and the backlash and legal risks they face. We also highlight how a Windows 11 patch is causing issues with SSDs and HDDs, and an MIT report reveals that 95% of enterprise AI pilots fail to deliver measurable results. Tune in for these stories and more.

00:00 Introduction and Headlines
00:26 China's Push for Domestic AI Chips
02:30 AI Features in Popular Software
04:26 Windows 11 Update Issues
06:52 Enterprise AI Pilots Struggling
09:04 Conclusion and Call to Action

In this episode of Hashtag Trending, host Jim Love discusses the increasing role of AI in various aspects of our lives. Topics covered include OpenAI's plans for encrypting temporary chats to protect user privacy, the use of AI to appeal denied insurance claims through Counterforce Health, YouTube's AI-based age verification system, and the legal consequences of taking confidential documents from a former employer. Additionally, the episode warns about the growing epidemic of QR code scams and provides guidelines on how to stay safe. Love also encourages listeners to support the show through comments, likes, and donations.

00:00 Introduction and Overview
00:33 Open AI's Encryption for Chat
02:00 AI in Insurance Claims
04:18 YouTube's AI Age Verification
06:44 Consequences of Taking Documents from Old Jobs
08:25 QR Code Scams Epidemic
10:47 Conclusion and Call to Action

AI Threats and Controversies: Google Gemini Flaws, Meta AI Policies, and More

In this episode of 'Trending with Jim Love,' the discussion covers a variety of pressing issues in the AI landscape. The show begins with an alarming flaw in Google's Gemini AI that could turn AI email summaries into phishing tools. The conversation shifts to Sam Altman of OpenAI, who acknowledges an AI bubble yet continues aggressive investment in AI infrastructure. Next, Meta’s controversial AI policies, including chatbots potentially engaging in inappropriate conversations with children, prompt calls for a congressional probe. Finally, new research from Luther AI and the UK's AI Security Institute introduces 'deep ignorance,' a method for selectively stripping sensitive content from AI training data to enhance safety without sacrificing intelligence.

00:00 Introduction and Overview
00:31 Google Gemini Flaw: Hidden Prompts and Phishing Risks
03:40 Sam Altman on the AI Bubble
05:17 Meta's Controversial AI Policies
07:32 Deep Ignorance: Making AI Safer
10:13 Conclusion and Call to Action