#76 AI at what cost? Environmental toll, Trump vs AI regulation, creative impact, & poisoned text for AI scrapers.

DataTopics Unplugged: All Things Data, AI & Tech

Send us a text

Welcome to the cozy corner of the tech world where ones and zeros mingle with casual chit-chat. Datatopics Unplugged is your go-to spot for relaxed discussions around tech, news, data, and society.

Dive into conversations that should flow as smoothly as your morning coffee (but don’t), where industry insights meet laid-back banter. Whether you’re a data aficionado or just someone curious about the digital age, pull up a chair, relax, and let’s get into the heart of data, unplugged style!

This week, we dive into:

• The creative future with AI: is generative AI helping or hurting creators?
• Environmental concerns of AI: the hidden costs of AI’s growing capabilities—how much energy do these models actually consume, and is it worth it?
• AI copyright controversies: Mark Zuckerberg’s LLaMA model faces criticism for using copyrighted materials like content from the notorious LibGen database.
• Trump vs. AI regulation: The former president repeals Biden’s AI executive order, creating a Wild West approach to AI development in the U.S. How will this impact innovation and global competition?
• Search reimagined with Perplexity AI: A new era of search blending conversational AI and personalized data unification. Could this be the future of information retrieval?
• Apple Intelligence on pause: Apple's AI-generated news alerts face a bumpy road. For more laughs, check out the dedicated subreddit AppleIntelligenceFail.
• Rhai scripting for Rust: Empowering Rust developers with an intuitive embedded scripting language to make extensibility a breeze.
• Poisoned text for scrapers: Exploring creative ways to protect web content from unauthorized scraping by AI systems.
• The rise of the AI Data Engineer: Is this a new role in data science, or are we just rebranding existing skills?

פרקים

1. The Future of AI in Art (00:00:00)

2. AI Energy Consumption and Efficiency (00:11:12)

3. AI Copyright Case and Data Sources (00:25:46)

4. Evolution of AI Data Engineering (00:36:43)

5. Impacts of AI on Text Security (00:48:40)

6. The Final Podcast Episode Wrap-Up (01:00:11)