The Complete Guide to Using Pydantic for Validating LLM Outputs
Large language models generate text, not structured data.
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Thinking with Video: The Next Leap in Multimodal AI Reasoning
Author(s): Kaushik Rajan Originally published on Towards AI. How video generation models like Sora-2 are bridging the gap between static images and dynamic understanding I still remember the first time I saw a Vision Language Model (VLM) describe a complex image. It felt like magic. But then I asked it to predict what would happen next in a chaotic street scene, and the magic faded. It struggled. It could see the “now,” but it was blind to the […]
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If you had to express why you’re an Anarchist in 1 (short) paragraph what would you say.
Please post below I want to read what people have to say. submitted by /u/mapsandwrestling [link] [comments]
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Something wonderful just happened with Qualified Immunity
It’s also a call to action The post Something wonderful just happened with Qualified Immunity appeared first on Downsize DC.
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Checking the quality of materials just got easier with a new AI tool
Manufacturing better batteries, faster electronics, and more effective pharmaceuticals depends on the discovery of new materials and the verification of their quality. Artificial intelligence is helping with the former, with tools that comb through catalogs of materials to quickly tag promising candidates. But once a material is made, verifying its quality still involves scanning it with specialized instruments to validate its performance — an expensive and time-consuming step that can hold up the development and distribution of new […]
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Stop building RAG pipelines like it’s 2023
Author(s): AI Rabbit Originally published on Towards AI. Agentic Era If your architecture still looks like “User Query Vector DB LLM,” you aren’t building an AI application; you’re building a hallucination engine. The “naive” RAG era where we just dumped PDFs into Pinecone and prayed for the best is officially over. Here is the technical reality of RAG in 2025.The article discusses the evolution of Retrieval-Augmented Generation (RAG) pipelines, emphasizing the transition from outdated linear architectures to more […]
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Gemini 3 and Nano Banana Pro in Search are coming to more countries around the world.
We’re bringing our most intelligent model yet, Gemini 3 Pro, to Google Search in more countries around the world.
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A greener way to 3D print stronger stuff
3D printing has come a long way since its invention in 1983 by Chuck Hull, who pioneered stereolithography, a technique that solidifies liquid resin into solid objects using ultraviolet lasers. Over the decades, 3D printers have evolved from experimental curiosities into tools capable of producing everything from custom prosthetics to complex food designs, architectural models, and even functioning human organs. But as the technology matures, its environmental footprint has become increasingly difficult to set aside. The vast majority […]
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Differences between transformer-based AI and the new generation of AI models
I frequently refer to OpenAI and the likes as LLM 1.0, by contrast to our xLLM architecture that I present as LLM 2.0. Over time, I received a lot of questions. Here I address the main differentiators. First, xLLM is a no-Blackbox, secure, auditable, double-distilled agentic LLM/RAG for trustworthy Enterprise AI, using 10,000 fewer (multi-)tokens, no vector database but Python-native, fast nested hashes in its original version, and no transformer to generate the structured output to a prompt. […]
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