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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• Chris Benson – Website • , GitHub • , LinkedIn • , X • Daniel Whitenack – Website • , GitHub • , X Show Notes:

• New Models • Qwen2.5 Alibaba’s Qwen AI ModelQwen2.5 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 BlogOuteTTS 0.2 - 500M BlogSmol TTS Update on LinkedIn • SmolLVM SmolLVM Updates on LinkedInWhat Donald Trump’s Win Means for AIPractical AI Podcast: Episode 244GetPickle.ai • Docling Docling Paper on arXivDocling GitHub RepositoryRed Hat Blog on DoclingLinkedIn Post on PDF Table ExtractionHugging Face Blog on Observers SDK • AI and Commerce Stripe Blog: Adding Payments to Agentic WorkflowsLinkedIn Announcement: Payments Integration SDK Something missing or broken? PRs welcome!

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