Marco Del Tongo

Following yesterday visit to PugliaTechs event, dedicated to XR, I found following news, an new product that might be a great competitor to Luxottica coop with Meta: Project Auro from XREAL. Project Aura from Xreal is a bold step forward - and a reminder that visionary products demand rigorous engineering foundations. By integrating Google’s Android XR platform with Qualcomm’s Snapdragon XR chips and embedding the new Gemini AI assistant, Xreal isn’t just offering another AR headset: it’s betting on an open, high-performance ecosystem to deliver real-world value. First, Android XR as a unified operating system tackles one of extended reality’s biggest blockers: fragmentation. Too many proprietary OS layers have kept developers from creating polished, scalable experiences. By building on Android XR, Project Aura can tap into established tooling, security standards, and app marketplaces - shortening time-to-market and raising quality benchmarks from day one. Second, the Snapdragon XR SoC brings measurable performance gains. Recent Qualcomm benchmarks show up to 30 percent higher GPU throughput versus prior XR platforms, plus dedicated AI accelerators for low-latency inference. Pairing that with Gemini’s contextual intelligence means Aura can offload heavy tasks - gesture recognition, natural-language processing, real-time translation - to on-device silicon, rather than relying entirely on tethered compute. The result: smoother visuals, faster interactions, and less dependency on external hardware. Finally, adjustable transparency isn’t just a novelty - it’s a strategic design choice. By letting users dynamically blend digital content with their physical environment, Aura supports both immersive collaboration (think virtual whiteboards overlaid on your office) and secure workflows (hiding sensitive data when needed). This flexibility will be crucial for enterprise adoption, where security and productivity must coexist seamlessly. Project Aura’s reveal at the upcoming Augmented World Expo will fill in the remaining technical details. But the strategic takeaway is clear: AR can only scale when hardware, software, and AI are architected together on proven platforms. Xreal’s approach exemplifies the principle I’ve long advocated: ambitious visions must rest on solid technological foundations if they’re to drive lasting market impact. It is a great step for Chinese companies. It is interesting as well, tariffs will impact the launch of this product. #xr #google #xreal #ar

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Molto interessante su come opera OpenAI - pieno di perle. Sto ragionando per capire cosa è utile per organizzazioni più piccole/crescita meno esplosiva. (link in commento) Perle: Teams at OpenAI are much more fluid than they might be elsewhere. When launching Codex, we needed some help from a few experienced ChatGPT engineers to hit our launch date. We met with some of the ChatGPT EMs to make the request. The next day we had two badass folks ready to dive in and help. There was no "waiting for quarterly planning" or "re-shuffling headcount". It moved really quickly. There's a strong bias to action (you can just do things). It wasn't unusual for similar teams but unrelated teams to converge on various ideas. I started out working on a parallel (but internal) effort similar to ChatGPT Connectors. There must've been ~3-4 different Codex prototypes floating around before we decided to push for a launch. These efforts are usually taken by a small handful of individuals without asking permission. Teams tend to quickly form around them as they show promise Vale la pena leggerlo tutto

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Meta-agent framework for building high-performance multi-agent systems! ROMA is an open-source meta-agent framework for building agents with hierarchical task execution. It adopts a recursive hierarchical architecture where tasks are decomposed into subtasks, agents handle the subtasks, and results are aggregated upward. The goal is to simplify the development of complex agent workflows by making task decomposition, coordination, and tracing more manageable. Key components: • Atomizer: Determines whether a task is “atomic” (directly executable) or requires planning. • Planner: Breaks down non-atomic tasks into subtasks. • Executor: Executes atomic tasks using LLMs, APIs, or even other agents. • Aggregator: Collects results from subtasks and merges them into a parent output. The recursion loop follows: solve(task) → decompose → solve(subtasks) → aggregate results. It's 100% open source. Link to the GitHub repo in the comments!

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#AI just wrote a newspaper. What’s next? An Italian newspaper, Il Foglio Quotidiano, has published an entire edition written and produced by #AI. Foglio AI is now available in print and online, marking a new milestone in journalism. This isn’t the first time #technology has changed the way we consume news. Radio brought live reporting, television made news more visual, the internet gave us 24/7 access, and social media turned everyone into a potential news source. Now, AI is shaping the next chapter. What could this mean for the future? 1: Autonomous Newsrooms: AI could handle the entire news cycle—sourcing, writing, editing, and publishing—raising questions about the role of human journalists. 2: Real-Time Event Reconstruction: AI may compile live footage, eyewitness reports, and data to instantly generate detailed event summaries, creating near-instant news documentaries. 3: AI-Generated Opinion Columns: AI could analyze diverse viewpoints and craft evolving opinion pieces based on reader engagement. But would audiences trust AI-driven perspectives? 4: Predictive Journalism: AI might go beyond reporting to forecasting political shifts, market trends, and social changes, turning journalism into a window into the future. Of course, this also raises concerns. Can #AI remain #unbiased? Who is responsible if it spreads #misinformation? What happens to human #journalists and the role of #storytelling? Technology will keep evolving, but the core question remains: Will AI enhance #journalism, or strip away its #human touch? #AI #Journalism #News #ArtificialIntelligence #Innovation #FutureOfMedia

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Intelligenza Artificiale: Sistemi, Simulazioni e Creatività We clarify the concept of Artificial Intelligence (AI), a discipline that explores how to create intelligent computer systems. We discuss how these systems simulate human thought and act as tools to enhance our creativity, not replace it. Our goal is to understand AI's role. #IntelligenzaArtificiale #IA #SistemiIntelligenti #PensieroUmano #Creativita #Tecnologia #Innovazione #ComputerScience #AIExplained #DigitalFuture

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