Wild update today you guys. Google DeepMind just hired the former CTO of Boston Dynamics, and it feels like another big sign that AI is about to spill fully into the physical world. The article basically says DeepMind wants Gemini to become the Android of robotics. One AI brain that can plug into almost any robot body. Here are the parts that stood out to me: - DeepMind bringing in Aaron Saunders to level up hardware expertise - idea of Gemini as a universal robot operating system - push toward robots that work out of the box with many body types - rising competition from startups and Chinese companies like Unitree - hardware getting cheaper and more accessible, which fuels faster innovation - researchers predicting a real robotics breakthrough moment in the next couple years I’m curious what you all think. If AI becomes the default control layer for robots, what kind of automations or real world use cases do you think we’ll be building sooner than we expect? Read the full article here: https://www.wired.com/story/google-hires-cto-boston-dynamics-demis-hassabis-android/

Hey everyone After working on this for months, I built an AI system that handles the entire sales process from finding leads to booking appointments automatically. Before: I was spending 18+ hours weekly hunting for leads manually, sending messages that get ignored, forgetting to follow up, and constantly worrying about where next client will come from. I've been testing this with a few businesses and the results? 94 appointments booked in 30 days for a recruitment firm (screenshot) SaaS founder: Added $85k extra monthly revenue Multiple service businesses: booking calls automatically It's fully automated. No manual outreach needed. Feel free to reach out if you want to chat about this stuff, im always here to help any way possible

You can use the new Gemini 3 Pro Image (Nano Banana Pro) Check out the video below and read more here: https://deepmind.google/models/gemini-image/pro/

Ever feel like your AI tools forget everything the moment they learn something new? Turns out, Google Research is tackling that very problem with a completely fresh approach. In one of their their latest posts, they introduce "Nested Learning", a new standard that rethinks how models learn and remember over time, taking inspiration straight from how our brains handle continual learning. Here’s what stood out to me: - Models structured as multiple nested optimization problems - Architecture and training treated as one continuous process - Better handling of 'catastrophic forgetting' (when new data wipes old knowledge) - A new self-modifying model called 'Hope' that learns across multiple levels - Potential to create truly self-improving, long-term memory AI systems If this approach really works, it could change how we build and automate systems that need to retain knowledge over time, from intelligent assistants to real-time business automations. Read the full article here: https://research.google/blog/introducing-nested-learning-a-new-ml-paradigm-for-continual-learning

Hi Everyone With over 8 years of experience in full-stack engineering and AI-driven automation, I specialize in designing and delivering complex, high-impact systems. My expertise spans web applications, distributed systems, real-time infrastructure, and conversational agents, enabling me to build solutions that are both resilient and scalable. On the AI front, I have deep knowledge in voice AI, conversational agents, and workflow automation. I’ve worked extensively with frameworks like LiveKit, LangChain, Twilio, n8n, and Make.com to deliver end-to-end automation and real-time AI solutions. I’m passionate about working in fast-paced environments where ideas are rapidly transformed into production-ready systems. Whether it’s building low-latency voice pipelines or crafting comprehensive automation workflows, I focus on creating user-centric, scalable products that drive growth and innovation. I am currently exploring opportunities to collaborate on ambitious projects that push the boundaries of technology. If you’re looking for a highly skilled engineer with a strong AI automation background, I’d love to connect and help bring your ideas to life at scale.