February 2026

Auto Quantum Machine Learning for Multisource Classification

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With fault-tolerant quantum computing on the horizon, there is growing interest in applying quantum computational methods to data-intensive scientific fields like remote sensing. Quantum machine learning (QML) has already demonstrated potential for such demanding tasks. One area of particular focus is quantum data fusion — a complex data analysis problem that has attracted significant recent attention. In this work, we introduce an automated QML (AQML) approach for addressing data fusion challenges. We evaluate how AQML-generated quantum circuits perform […]

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Why creators are ditching ad revenue for chocolate bars and fintech acquisitions 

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The creator economy is evolving fast, and ad revenue alone isn’t cutting it anymore. YouTubers are launching product lines, acquiring startups, and building actual business empires. In fact, MrBeast’s company bought fintech startup Step, and his chocolate business is out-earning his media arm. This isn’t just one creator’s strategy. For many, it’s the new playbook.  […]

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Learning Invariant Visual Representations for Planning with Joint-Embedding Predictive World Models

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World models learned from high-dimensional visual observations allow agents to make decisions and plan directly in latent space, avoiding pixel-level reconstruction. However, recent latent predictive architectures (JEPAs), including the DINO world model (DINO-WM), display a degradation in test time robustness due to their sensitivity to "slow features". These include visual variations such as background changes and distractors that are irrelevant to the task being solved. We address this limitation by augmenting the predictive objective with a bisimulation encoder […]

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Taalas serves Llama 3.1 8B at 17,000 tokens/second

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Taalas serves Llama 3.1 8B at 17,000 tokens/second This new Canadian hardware startup just announced their first product – a custom hardware implementation of the Llama 3.1 8B model (from July 2024) that can run at a staggering 17,000 tokens/second. I was going to include a video of their demo but it’s so fast it would look more like a screenshot. You can try it out at chatjimmy.ai. They describe their Silicon Llama as “aggressively quantized, combining 3-bit […]

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FCC asks stations for "pro-America" programming, like daily Pledge of Allegiance

FCC asks stations for “pro-America” programming, like daily Pledge of Allegiance

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Federal Communications Commission Chairman Brendan Carr today urged broadcasters to join a “Pledge America Campaign” that Carr established to support President Trump’s “Salute to America 250” project. Carr said in a press release that “I am inviting broadcasters to pledge to air programming in their local markets in support of this historic national, non-partisan celebration.” The press release said Carr is asking broadcasters to “air patriotic, pro-America programming in support of America’s 250th birthday.” Carr gave what he […]

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Meta's flagship metaverse service leaves VR behind

Meta’s flagship metaverse service leaves VR behind

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Meta announced today that it will divorce its Horizon Worlds social and gaming service—once promoted as the company’s first major step into the metaverse—from its Quest VR headset platform and digital store. The company says it is now “shifting the focus of Worlds to be almost exclusively mobile.” The announcement is also filled with statements like “we’re doubling down on the VR developer ecosystem” that are attempting to head off any suggestion that Meta is retreating from the […]

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Federated Learning-Assisted Optimization of Mobile Transmission with Digital Twins

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A Digital Twin (DT) may protect information that is considered private to its associated physical system. For a mobile device, this may include its mobility profile, recent location(s), and experienced channel conditions. Online schedulers, however, typically use this type of information to perform tasks such as shared bandwidth and channel time slot assignments. In this paper, we consider three transmission scheduling problems with energy constraints, where such information is needed, and yet must remain private: minimizing total transmission […]

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OpenClaw Architecture Deep Dive: Building Production-Ready AI Agents from Scratch

OpenClaw Architecture Deep Dive: Building Production-Ready AI Agents from Scratch

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Author(s): Know-Island Originally published on Towards AI. Dissecting the agent framework that hit 100K GitHub stars in a week — and had 400+ malicious plugins. Architecture patterns for building agents that actually work. OpenClaw went from zero to 100,000 GitHub stars in one week. Then security researchers found 400+ malicious plugins in its marketplace within two minutes of looking. AI-generated illustration of AI agent system architectureThis article provides a detailed examination of OpenClaw’s architecture to highlight how the […]

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Amazon SageMaker AI in 2025, a year in review part 1: Flexible Training Plans and improvements to price performance for inference workloads

Amazon SageMaker AI in 2025, a year in review part 1: Flexible Training Plans and improvements to price performance for inference workloads

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In 2025, Amazon SageMaker AI saw dramatic improvements to core infrastructure offerings along four dimensions: capacity, price performance, observability, and usability. In this series of posts, we discuss these various improvements and their benefits. In Part 1, we discuss capacity improvements with the launch of Flexible Training Plans. We also describe improvements to price performance for inference workloads. In Part 2, we discuss enhancements made to observability, model customization, and model hosting. Flexible Training Plans for SageMaker SageMaker […]

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Amazon SageMaker AI in 2025, a year in review part 2: Improved observability and enhanced features for SageMaker AI model customization and hosting

Amazon SageMaker AI in 2025, a year in review part 2: Improved observability and enhanced features for SageMaker AI model customization and hosting

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In 2025, Amazon SageMaker AI made several improvements designed to help you train, tune, and host generative AI workloads. In Part 1 of this series, we discussed Flexible Training Plans and price performance improvements made to inference components. In this post, we discuss enhancements made to observability, model customization, and model hosting. These improvements facilitate a whole new class of customer use cases to be hosted on SageMaker AI. Observability The observability enhancements made to SageMaker AI in […]

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