Vladimir Mulhem

When a misplaced character turns flawless code into a head-scratcher, it’s a stark reminder that brilliance isn’t just in flashy new tools—it’s in sound engineering. In today’s fast-paced tech arena, a new breed of code partner is emerging, one that reimagines AI assistance by weaving together time-tested software principles with cutting-edge language models. Picture algorithms that transform prompts into skeletal abstract syntax trees, run brisk simulations to weed out errors, and refine outputs until your code compiles like clockwork. While lateral leaps in AI might steal the spotlight, they still depend on your seasoned eye to spot anomalies and sneaky pitfalls invisible to brute token guessing. It’s that blend of disciplined fundamentals and relentless innovation that transforms mere drafts into robust, production-ready code. The journey isn’t about being first—it’s about building systems that mirror the precision of a well-tuned engine, where every component interacts seamlessly from static inference to dynamic test cycles. True mastery comes when you let AI handle the initial heavy lifting, then step in with your cross-disciplinary savvy to polish and integrate the work. When your automated assistant pairs with your engineering instincts, you’re not just generating code; you’re crafting resilient, scalable systems that endure beyond any meme-worthy mischief. Ready to evolve beyond the hype and build lasting software? Follow @LunarTech for blueprints that turn innovative ideas into enduring engineering excellence.

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𝗛𝗼𝘄 𝗱𝗼𝗲𝘀 𝗮𝗻 𝗮𝘄𝗮𝗿𝗱-𝘄𝗶𝗻𝗻𝗶𝗻𝗴 𝗯𝗿𝗮𝗻𝗱 𝘃𝗶𝗱𝗲𝗼 𝘀𝘁𝗮𝗿𝘁? 𝗪𝗶𝘁𝗵 𝗮 𝘀𝘁𝗼𝗿𝘆𝗯𝗼𝗮𝗿𝗱. 𝗔 𝘃𝗲𝗿𝘆, 𝘃𝗲𝗿𝘆 𝗱𝗲𝘁𝗮𝗶𝗹𝗲𝗱 𝗼𝗻𝗲. When we began working with the team at Signus.ai, we knew we weren’t just visualizing a product, we were helping launch an AI-first company with a bold mission: To rethink the role of contracts from static files to intelligent systems. That shift needed to come through in every frame. So before a single pixel moved, we crafted a storyboard that mapped every motion, every transition, every metaphor. Not as a formality, but as the blueprint for emotional, strategic storytelling. 🎬 Here’s a peek behind the scenes: Storyboard vs. Final Result. This process is how you create videos that don’t just explain, but transform perception. That’s how this piece won Video of the Day & Video of the Month on Motion Design Awards. And why it helped define the Signus brand from day one.

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The Spatial Fields for Vision Pro from Contrast Media Labs, Inc just pushed out Beta version .5 and the splat fidelity is looking awesome! They wrote rewrote their Metal implementation and can now support up to a million splats with spherical harmonics! They've also added SPZ V3 support. Their beta is totally free through Testflight! Article👇 https://lnkd.in/euVz5iBB Video👇 https://lnkd.in/eVDnHK8R

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Seriously mind-blowing stuff here. This is the future of XR content creation, and it starts with a single prompt. We are getting closer and closer to worlds you can literally create with your voice and explore seconds later. Google DeepMind's new Genie 3 announcement shows us how we’ll get there. Most XR content today runs in game engines. They are powerful, but they require specialized skills, long production pipelines, and they hit performance ceilings quickly on all-in-one XR headsets. Genie 3 is an interactive AI powered world model, and it changes that equation dramatically. Through simple prompts, entire photorealistic interactive worlds are created. Instead of spending months building and programming experiences in game engines, these worlds are generated on demand in the cloud and streamed to a device as frames, so the heavy lifting happens elsewhere. This technology is not built for XR today, and there are still hurdles to clear before it could even begin to work in VR. Having said that- this shows a very clear path toward the AI powered speak-into-existence vision for XR some of us have been shouting about for years. These are amazing times. Read the full story: https://lnkd.in/eWFgqkxS

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=SUM() is universally familiar. Spreadsheets have become one of the most successful programming environments in history, proving that a simple grid can be a powerful substrate. Looking ahead to an agentic future, Foundry Labs is sharing an open experiment: Project CalcLM. It explores how agent workflows might live in a grid-like surface. This isn’t a product, just something lightweight to explore. Bang around and let us know what you think. 🔗 https://aka.ms/calclm

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6 key takeaways from the "Aquent on IA: Turning into the Signal" Event with Roger Rohatgi, Nish Patel & Susie Hall 1️⃣ AI Memes are getting out of hand… high level of noise with little value. We are paying too much attention and amplifying the noise. Cold Play, Sydney Sweeny, South Park, Zuckerberg (Meta) vs. Altman (Open AI) Matrix Style We are not paying attention to what the AI tech is doing, but rather defining and shaping what the future we want to make. 2️⃣ Prediction/question – would some of the creative process be done by AI? Would the brief, or a campaign, be done by AI in little time? Marketers could come to the Meta platform, define the goals and outcomes, and the platform would do the rest. The question is: are we comfortable with this? What is human? What is the human creative experience that is going to attract and keep customers? Connection, community, and humanity. 3️⃣ Many people say they want to have their own agents… a differentiator is not just the human experience; it is the trust. Individual agents have “provider-bias,” they give convenience for presumed inconvenient tasks (h/t Callie Threadhgill) 4️⃣ How machine customers begin to rise and interact with your brand. Your next customer doesn’t have emotions. They don’t care about your brand story. They’ll never feel loyalty the way humans do. Your next customer may be an algorithm. – Katja Forbes in her new book "Machine Customers: The Evolution has Begun" 5️⃣ The Human experience will potentially become the new luxury. Are we heading down the path of human-to-human experiences only available to the people who can afford them? 6️⃣ What advice would you give leaders to distinguish signal vs. noise? Roger: How do we care for one another? How do we come together? We need to believe in the human commodity of TRUST. Nish: High level of excitement and state of persistent flow. AI is middleware for the imagination. Encourage everyone of us, learn these tools, learn how to use them effectively. AI is like an exoskeleton for us. We have to apply our imagination, our creativity to these tools. We need to bring others along for the ride. Start having the conversations with your team, with your leadership, to create a much better tomorrow. We cannot outsource our responsibilities that define the future. Let's leverage our creativity. Let's apply our imagination. We must come together. Let's define the future. #AI #Futures #Leadership

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