The full agenda for AI Dev 25 x NYC is ready. Developers from Google, AWS, Vercel, Groq, Mistral AI, SAP, and other exciting companies will share what they've learned building production AI systems. Here's what we'll cover: Agentic Architecture: When orchestration frameworks
LLMS
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Google developing Genie 3 AI world model for user-generated exploration
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BREAKING 🚨: Google started working on a Genie 3 experiment where users will be able to generate their own worlds to explore.
— 🚨 AI News | TestingCatalog (@testingcatalog) 23 octobre 2025
Genie 3 is an AI World Model from Google announced earlier this year. https://t.co/4122r1EqhO pic.twitter.com/Mh24PcsYgvBREAKING : Google started working on a Genie 3 experiment where users will be able to generate their own worlds to explore. Genie 3 is an AI World Model from Google announced earlier this year. https://
x.com/synthwavedd/st
/synthwavedd/status/1981382737698132474
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NotebookLM to Introduce Deep Research Feature for Data Sourcing
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BREAKING 🚨: NotebookLM is about to release Deep Research for data sourcing on NotebookLM soon, as a new announcement label has been added.
— 🚨 AI News | TestingCatalog (@testingcatalog) 23 octobre 2025
Here is an early preview 👀 pic.twitter.com/ovT2QhZNBABREAKING : NotebookLM is about to release Deep Research for data sourcing on NotebookLM soon, as a new announcement label has been added. Here is an early preview
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Microsoft Copilot Introduces AI That Disagrees and Detailed Thinking Summaries
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No more “You are absolutely right“! “Real talk” on Copilot is an “AI that disagrees”, positioned as a though partner that can challenge you and develop its understanding of a topic over time. Thinking process got a new look as well so you now can see a detailed summary.
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Frontier LLM Production Stack Innovation Discussion
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Ty, I just meant it hasn’t (to my knowledge) created a whole new stage in the production stack of a frontier LLM, or had a contribution on that level.
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PokeeResearch-7B: a new open-source research agent
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Pokee released PokeeResearch-7B, an open-source 7B deep research agent model that reasons, retrieves, and self-verifies. Among 10 benchmarks, PokeeResearch-7B outperforms all other open 7B deep research models. Available via Pokee AI, API, and Hugging Face.
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VISTA AI Model Improves Performance Through Self-Learning Feedback
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VISTA improves without ever retraining the model. It uses feedback from its own outputs to rewrite future prompts like an AI director learning with every take. The results? 60% pairwise win rate vs state-of-the-art
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Google introduces VISTA self-improving video generation agent
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Holy shit…Google just dropped a self-improving video generation agent It’s called VISTA, and it literally rewrites its own prompts to make videos better every single generation. No retraining. No fine-tuning. Just pure test-time self-reflection. Here’s how it works: →
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Liberal Arts Major Achieves Writing Success With AI Assistant
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not bad for a liberal arts econ major who’s never written a paper
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NanoChat Live Tokenization During Training Optimization
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atm nanochat does not pretokenize, instead tokenization is done live during training in the dataloader, which is ok and gives the CPU something to do while the GPUs are working. So I didn't try too hard to optimize this part.