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 – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
New ModelsQwen2.5Alibaba’s Qwen AI ModelQwen2.5 Turbo Reads Ten Novels in One MinuteDeepSeekDeepSeek API Docs UpdateFLUXBlack Forest Labs’ FLUX.1-dev on Hugging FaceOuteTTSOuteTTS 0.1 - 350M BlogOuteTTS 0.2 - 500M BlogSmol TTS Update on LinkedInSmolLVMSmolLVM Updates on LinkedInWhat Donald Trump’s Win Means for AIPractical AI Podcast: Episode 244GetPickle.aiDoclingDocling Paper on arXivDocling GitHub RepositoryRed Hat Blog on DoclingLinkedIn Post on PDF Table ExtractionHugging Face Blog on Observers SDKAI and CommerceStripe Blog: Adding Payments to Agentic WorkflowsLinkedIn Announcement: Payments Integration SDKSomething missing or broken? PRs welcome!