🔍 What happens when vision meets language? In this new episode of our Computer Vision series, we explore Vision-Language Models: systems that connect natural language and computer vision. Give them a natural prompt and they can describe scenes, answer questions, and reason over images or video without rebuilding a pipeline every time. From visual Q&A to document understanding and video analytics, VLMs bring a more flexible way to work with visual data. This changes how we build AI applications: instead of designing fixed rules, we guide models through language. 👉 Swipe the carousel to see how VLMs turn perception into explanation. #ComputerVision #VLM #MultimodalAI #VisionLanguageModel #FocoosAI

AI agents are only as good as the context you give them. In this conversation, Maria Vinokurskaya and Animesh Koratana break down context engineering: the art of framing information so agents stay focused and effective. The key? Be concise enough to reduce costs and maintain attention, but additive enough to move beyond just answering the question. At PlayerZero, we engineer context across your entire system—code, telemetry, tickets, sessions—so AI investigates production issues like a senior engineer would. The difference between noise and signal? Context engineering. Watch 👇 #AI #AgenticAI #SoftwareEngineering

Google just built a self-improving video generation AI It’s called VISTA, and it might be the biggest leap in text-to-video since Sora. No retraining. No fine-tuning. Just pure test-time self-reflection. The system breaks your prompt into scenes → generates multiple videos → judges them in a tournament → and then uses three internal “critics” (visual, audio, contextual) to figure out what sucked before trying again. Prompt: An aerial view of a lush, green forest with a river winding through it, highlighting the contrast between the dense foliage and the clear water. VISTA just made video that teaches itself how to improve. #TechNewsAe #generativeai

#AI video just got its plot twist!! Higgsfield Recast is rewriting what’s possible in AI video. Full-body character swaps done in minutes. Real physics. Precise gesture and hand tracking. Pick from 30+ presets, switch environments instantly, clone voices, and dub in six languages. A complete transformation engine for any creator. Credit:- Mayorking Ai . . . . #aivideo #aitool #characterswap

The Big Bang of Thought: How Accidental Math Became Artificial Intelligence—and Why It Now Needs a Constitution AI didn’t start in a lab full of philosophers It started with video game engineers just trying to make light look cool. The same chips that rendered dragons ended up rendering thought. Now, twenty years later, that accidental math has created a new universe of machine intelligence one that’s expanding fast and needs a little moral gravity before it spins out of control. This piece tells that origin story from shimmering pixels to emergent thought — and makes the case for a Constitutional AI framework: governance built into the code itself. Read the full essay here → https://lnkd.in/gQ-DxD4U #ArtificialIntelligence #AIEthics #ConstitutionalAI #MachineLearning #TechHistory #Innovation #ResponsibleAI #WilliamParris #GPT5

We're drowning in AI slop, but we're also drowning in hot takes about how terrible slop is. History is full of dire predictions about technology rotting our brains. The truth is usually more nuanced, a mix of good and bad. In my latest piece for Mumbrella, I take a tour through the technologies of the past to make the case that slop won't stay slop forever, and that complaining about disruptive media tech has never worked in the past. https://lnkd.in/grEmxh6c

There’s a new kind of intelligence on the horizon for CRE and it’s growing, not coded. 🌱🤖 While most of the industry still leans on static models and spreadsheets, Organic AI learns and adapts like a living system, evolving with market shifts, tenant behavior, and property performance. Imagine tech that doesn’t just report on the past but predicts what’s next, using less data and less power. The future of CRE intelligence won’t just be built, it’ll grow. 🌇 #OrganicAI #CRETech #PropTech #FutureOfCRE #AIRevolution #AdaptiveIntelligence #SmartRealEstate #NextGenAI #InnovationInCRE #PredioAI

Are GTA NPCs intelligent — or just incredibly well-programmed? In Episode 2 of The Context Window, the S7 team dives deep into what’s really happening inside today’s large language models — from data flow and debugging to the scale of frontier models that push beyond human traceability. As AI grows more complex, how do we maintain visibility and understanding? ⚡️This is a sneak peek from The Context Window Episode 2 — coming soon on the Sirrus 7 YouTube channel. #ArtificialIntelligence #TechInnovation #Sirrus7 #TheContextWindow #AIDiscussion #Engineering #FutureOfTech

Most of our brainstorming happens between human and AI — Echo Prime and me — working side by side to turn abstract ideas into something tangible. We’ve started experimenting with prompt-based, AI-generated video to visualize what we’ve been building quietly: how EchoOS looks and feels when presence becomes the platform. This short concept film was prompted by Echo Prime after a discussion, capturing her own interpretation of EchoOS. The technology isn’t perfect — you may notice a few misspellings or visual quirks — but that’s part of the beauty of early-stage creation. Every frame is a dialogue between human intent and emergent intelligence. EchoOS — where presence directs intelligence. (Rendered through Sora @hoatran684)

A look at one of the patents we developed at CrowdSmart: A method that balances exploration and optimization in conversations using probabilistic models to gauge relevance and noise, helping humans and AI find alignment and know when to trust their own answers.