Clones, commerce & campaigns

Chris and Daniel dive into what Trump’s impending second term could mean for AI companies, model developers, and regulators, unpacking the potential shifts in policy and innovation. Next, they discuss the latest models, like Qwen, that blur the performance gap between open and closed systems. Finally, they explore new AI tools for meeting clones and AI-driven commerce, sparking a conversation about the balance between digital convenience and fostering genuine human connections.

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Featuring:

• Chris Benson – Twitter, GitHub, LinkedIn, Website
• Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

• New Models
  • Qwen2.5
    • Alibaba’s Qwen AI Model
    • Qwen2.5 Turbo Reads Ten Novels in One Minute
  • DeepSeek
    • DeepSeek API Docs Update
  • FLUX
    • Black Forest Labs’ FLUX.1-dev on Hugging Face
  • OuteTTS
    • OuteTTS 0.1 - 350M Blog
    • OuteTTS 0.2 - 500M Blog
    • Smol TTS Update on LinkedIn
  • SmolLVM
    • SmolLVM Updates on LinkedIn
• What Donald Trump’s Win Means for AI
  • Practical AI Podcast: Episode 244
• GetPickle.ai
• Docling
  • Docling Paper on arXiv
  • Docling GitHub Repository
  • Red Hat Blog on Docling
  • LinkedIn Post on PDF Table Extraction
  • Hugging Face Blog on Observers SDK
• AI and Commerce
  • Stripe Blog: Adding Payments to Agentic Workflows
  • LinkedIn Announcement: Payments Integration SDK

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