Gabriel Aul

Scaling AI takes the right foundation. That’s why DigitalOcean partnered with Flexential at our Atlanta–Douglasville data center. Together we’re enabling: 🔷 Faster deployment of AI services 🔷 High-density GPU infrastructure powered by NVIDIA and AMD 🔷 Reliable performance backed by 100% SLAs Flexential is proud to support DigitalOcean as they expand AI/ML capabilities for more than 600,000 customers worldwide. Read the story: https://ow.ly/8IlF30sPHwO #FlexAnywhere #DigitalOcean #NVIDIA #AMD #DataCenters #AI #Colocation #Interconnection #GPUComputing

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Exciting times for AI! Google's launch of Gemini 3 and the Ironwood AI chip marks a powerful comeback. With industry leaders like Marc Benioff switching from ChatGPT to Gemini 3, it's clear the innovation is making waves. Alphabet's impressive stock performance and TPU chips challenging Nvidia highlight the momentum. The integration of YouTube as a training data advantage for video and image generation is a game-changer. Google's strategic moves in AI are worth watching closely. For more details, check out this article: https://lnkd.in/gfEbwk2V

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We’re launching Gemini 2.5 Deep Think: an enhanced reasoning mode for Gemini to help tackle harder problems. Deep Think could be a powerful tool in creative problem solving: https://lnkd.in/gqgVCbwm Deep Think is now rolling out to Google AI Ultra subscribers. Find out more → https://lnkd.in/euyuUPSR

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✨ From Magnifying Glass to Machine Learning ✨ AI for Toy Cataloging and Valuations At Redmond’s Forge, we’ve lived through the shift from manual toy valuation to an AI-powered approach. On the left: painstakingly flipping through reference books, jotting notes, and hoping to find comparable LEGO minifigures. On the right: AI tools instantly analyzing sealed vs. used values, highlighting museum-worthy sets, and even recommending where in the LEGO City, build a MOC, or the best resale platforms. This isn’t about replacing tradition, it’s about enhancing craftsmanship with technology. We can still respect the history of collecting while embracing the future of AI-assisted valuation. 🔗 Read the full post: https://lnkd.in/ebpi4Bcv #AI #GenerativeAI #LEGO #Collectibles #RedmondsForge #FutureOfWork #ArtificialIntelligence

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I made an explorable esoteric research environment with a Custodian named MERIDIAN that can launch its own agent swarms to solve problems. Does isopsephic arithmetic and lookup for any Neoplatonists :-) https://lnkd.in/gYzqVn7m

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Mathieu François, this is a brilliantly coherent framework. You're describing a recursive system, not just a stack. The power isn't in the individual layers, but in the feedback loops between them. It’s a recursive process where optimization at one layer creates new vectors for efficiency at the layers above and below: Visibility → Architecture: When CodeCarbon exposes training emissions, it recursively influences future model design, pushing teams toward inherently more efficient architectures. Infrastructure → Application Logic: Grid-aware infra exposes new API parameters (e.g., carbon_budget) that recursively reshape how applications are built, forcing a rethink of "performance." User Behavior → Model Deployment: Energy-aware user behavior recursively trains the routing logic, creating a system that learns to anticipate and serve demand with increasing intelligence. This is the crucial shift: from a linear stack to a recursive system. But this leads to the next, necessary evolution: sovereignty and decentralization. The monolithic, one-size-fits-all model is antithetical to this recursive efficiency. The future stack is a federation of specialized, sovereign actors: Specialized Model Hubs: Instead of a single frontier model for all tasks, a dynamic network of smaller, fine-tuned, and domain-specific models, each sovereign over its specific task and optimized for its unique workload. Decentralized Physical Infrastructure (DePIN): Projects like Gensyn or Bittensor are pioneering a network where anyone can contribute compute. This creates a sovereign, non-monolithic market for inference, naturally routing work to the most efficient and geographically appropriate node, not just the largest data center. Sovereign Data and Caching Layers: Localized, user-owned data caches and personal AI models that handle routine queries without ever calling a cloud API, breaking the dependency on a centralized inference monolith. The observability layer you're building at Antarctica becomes the orchestrator for this sovereign ecosystem. It's not just about making one stack efficient; it's about providing the coherent intelligence that allows a decentralized network of specialized, non-monolithic stakeholders to collaborate with maximum efficiency and minimum waste. You've moved the conversation from "how do we build a greener AI?" to "how do we architect a self-improving, sovereign ecosystem where sustainability is an emergent property of its coherence and diversity?" This is the critical next chapter. Excellent work framing it. https://lnkd.in/eAVAdGs3

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We don’t lack clarity — we lack the right lens. This week I’m reframing systems thinking as human logic and showing how structure shapes behavior. https://lnkd.in/gAkmAJFF

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Today I spoke with two frinds from Google AI and learned that the KPI for engineers at Google and many large tech companies has fundamentally changed. A key metric now is how many tokens you are able to use. The more tokens you use, the greater your potential contribution—one person can now accomplish the work that once required ten or even a hundred people. #HerPowerAI #Google #WorkModel #KPI

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Today we announced new capabilities for our Shop Direct and Buy for Me experiences on Amazon, enabling now feeds to facilitate external merchants to list reliably their product listings and reach millions of Amazon customers. Excited on this feature, that is a win/win experience for customers, merchants and brands. Excited to be part of such important project.

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If there’s any low level coders in my network please check out Troy’s GitHub and his project to build a new, faster shell! Some details on Troy: ### Windows Accessibility and TTS Contributions (Red Eagle Team) - Description: As part of the Red Eagle Team (a Georgia-backed initiative with Microsoft support in the mid-2000s), Mallory developed foundational code for universal Text-to-Speech (TTS) systems and cross-platform handicap accessibility features. This included compatibility layers for screen readers, app navigation, and voice input (e.g., influencing tools like Dragon NaturallySpeaking). - Impact on Windows: Microsoft adopted and evolved his logic starting with Windows Vista, integrating it into core OS features for impaired users. If you've used modern Windows TTS, clipboard integrations, or basic accessibility navigation, elements trace back to this work. - Modern Extensions: He's currently exploring IoT/smart home integrations for disabled veterans, building on this foundation. Troy’s Post “Okay guys think tank. I maybe over complicating this or may habe to do a bit of tweaking with some C code. Rubian has been going smoothly. The new boot and dynamic system discovery deamons work great. As standalone. The new stack needs tweaking for efficiency but works and is stable. Here's the stack im working on with the prototype test. /etc/rc.local ->calls boot.rb as bg process. ->boot.rb bootstraps rubian's system discovery and array logic. User login -> rubian3.rb (repl) -> chsh -s ./rubian3.rb USER Rubian boot.rb logic. ->starts C ruby and Jruby C ruby starts the bootstrap process while jruby warms up. -> Cruby passes workload to jruby when its ready to finish boot system. The deamon system is the server-side, where shells and env are the client. (See my UNIX socket prototype here) https://lnkd.in/gf6rWs46 C and j ruby can now natively talk to each other. I know that works. The issue im having is the new login shell isnt hooking into the deamon when it loads. https://lnkd.in/g5_2ZuPH A further explanation: “Yes. I've been building from the Shell working down to the kernel. The Shell side of things mimic Bash but in ruby expression. On the logic side of things, ruby treats everything as an object. What im doing is taking all the system information and building Arrays. Each directory and file then has an index that we can iterate through with .each_with_index, .each_with_object, etc. So instead of a static file tree, i have arrays of nested file paths and directories being pattern matched. Any ruby app will be ran and communicate to it. This allows for dynamic file utils systems and more. Each array index points to a file, directory, process, thread, interpreter, shell, hardware, everything that is a defined method object.”

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A lot shifted in 2025. AI made some things easier and other things more complicated, and it pushed teams to focus more on resilience. The 2025 State of the Internet Year in Review breaks down what stood out most this year. https://lnkd.in/eh2eZXfA

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If you are anywhere near Fullerton, California this week, join us for the next "I Build with AI" meetup, where Mark Warrick, AI Strategist and App Developer, will be presenting and running a workshop on how to Turn Your Domain Expertise into a Mobile App with AI! Instead of focusing on code or technical implementation details, the session centers on understanding intent, decision-making, and real-world judgment, and how AI can help translate that thinking into software. To make the concepts concrete, Mark will walk through a real example called Trail Palette, a mobile weather app designed for outdoor photographers. Drawing on his experience spending countless hours in mountainous terrain as both a guide and photographer, Mark brings an intuitive understanding of how weather, light, and landscape interact, and how that domain knowledge shapes the logic and behavior of an app. This session is designed for knowledge workers and domain experts who are non-developers that want a clear mental model of what it takes to build a mobile app using AI. Along with a hands-on workshop, you’ll gain an understanding of the tools involved and inspiration to see how your own domain expertise could become the foundation for software. RSVP for the event at: https://lnkd.in/gCj-GTD5

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