Posts

You Can Actually Play This AI-Generated Version of Quake II Right Now

Ready to see AI level up gaming? Microsoft just dropped a wild tech demo where its Muse AI re-creates Quake II—yes, that 1997 shooter—by generating every frame and move in real time. No preloaded graphics, just pure AI magic. It runs at 640 by 360 pixels and took only a week to train, compared to past models that needed years. Now, why should the paper packaging world care? Because Muse’s lightning-fast, generative capabilities hint at a future where packaging prototypes—think textures, folds, even shelf simulations—could be AI-built in seconds, slashing R&D time and costs. From games to cartons, AI’s rewriting design rules.https://www.techeblog.com/ai-generated-quake-ii-game-microsoft-copilot-labs/

The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation

Meta just dropped the Llama 4 series—Scout, Maverick, and the mighty Behemoth—and they’re rewriting the rules of multimodal AI. With up to 288 billion active parameters and context windows stretching to 10 million tokens, these models crush benchmarks in reasoning, coding, and image understanding. But here’s what it means for the paper packaging industry: Llama 4’s long-context capabilities could revolutionize supply chain optimization, allowing AI to analyze years of procurement, production, and sustainability data in one pass. That’s not just smarter packaging—that’s packaging with foresight.https://ai.meta.com/blog/llama-4-multimodal-intelligence/

Meta releases Llama 4, a new crop of flagship AI models

Meta just dropped Llama 4—its latest AI model family—on a weekend, shaking up the AI race with Scout, Maverick, and the still-training Behemoth. These multimodal models handle text, images, and video, and Scout’s 10 million-token context window means it can read and summarize massive documents—hello, packaging specs and compliance reports. For the paper packaging industry, this is big: Scout can power next-gen automation for sustainability audits, regulatory filings, and supplier documentation, especially as ESG reporting grows tougher. But EU firms are blocked from using it due to licensing, hinting at growing tech-regulation clashes that could fragment access to AI tools across global supply chains.https://techcrunch.com/2025/04/05/meta-releases-llama-4-a-new-crop-of-flagship-ai-models/

Meta debuts new Llama 4 models, but most powerful AI model is still to come

Meta just dropped two new open-source AI models—Llama 4 Scout and Maverick—on April 27, aiming to lead the generative AI race, but the real heavyweight, Llama 4 Behemoth, is still in training. Why should the paper packaging industry care? Because these AI agents, designed to reason and act, will soon handle everything from supply chain optimization to dynamic packaging design. Imagine AI that can analyze forest yield data, predict demand shifts, and suggest sustainable packaging formats—all in one click. With Meta's open-source push, even mid-sized converters could tap into enterprise-level intelligence. The future of smart packaging just got a lot smarter.https://www.cnbc.com/2025/04/05/meta-debuts-new-llama-4-models-but-most-powerful-ai-model-is-still-to-come.html

AI-Led Automation in Business: The End of Traditional Labour-Intensive Services - The Sunday Guardian Live

AI is no longer just assisting humans—it’s replacing entire service layers, from legal research to customer support. Welcome to the era of Services as Software, where AI doesn’t just enhance SaaS, it automates it. For the paper packaging industry, this means more than just smarter CRMs—it signals a future where AI could autonomously manage supply chains, optimize box designs, and even predict demand shifts using real-time retail data. As generative AI tools become cheaper and more accessible, packaging companies that embrace this shift will outpace competitors still relying on manual forecasting and design cycles.https://sundayguardianlive.com/business/ai-led-automation-in-business-the-end-of-traditional-labour-intensive-services

Fast fashion often ends up trashed. New recycling techniques could help.

Fast fashion is flooding landfills, with 85 percent of textiles ending up as trash and less than 1 percent recycled into new clothes, according to the Ellen MacArthur Foundation. Why? Because blended fabrics are hard to sort and recycle. But here’s where it gets high-tech—scientists at NIST are using near-infrared spectroscopy and electrostatic separation to identify and sort fibers faster than ever. So what does this mean for the paper packaging industry? Think of it as a warning and an opportunity. As textiles wrestle with fiber purity and recycling infrastructure, paper packaging—already a mono-material leader—can double down on its recyclability edge and invest in next-gen sorting tech to stay ahead in the circular economy.https://www.washingtonpost.com/climate-solutions/2025/04/05/recycle-clothing-fast-fashion/

MSFT, AVGO, or PLTR: Which Tech Stock Is Wall Street’s Most Attractive Pick?

Wall Street is buzzing as tech giants stumble—Microsoft is down 15 percent in 2025, Broadcom 37 percent—but analysts still shout Buy. Why? AI. Microsoft’s $13 billion AI business is growing triple digits, while Broadcom’s custom AI chips raked in $4.1 billion last quarter. Now here’s the kicker for the paper packaging world: surging AI chip production drives massive demand for cleanroom-compatible fiberboard and ESD-safe corrugated packaging. As hyperscale data centers expand, expect packaging innovation to fuel a parallel boom. AI isn’t just reshaping tech—it’s quietly transforming how we box it, ship it, and protect it.https://www.tipranks.com/news/msft-avgo-or-pltr-which-tech-stock-is-wall-streets-most-attractive-pick