Author: Carter

# New Motion-Capture Facility Aims to Accelerate Humanoid Robot Development with Precision Data Collection A specialized research facility dedicated to generating high-fidelity motion data for training humanoid and industrial robots has officially opened its doors. The laboratory, developed in partnership with a leading motion-capture technology provider, promises to address one of the most persistent bottlenecks in physical artificial intelligence: the scarcity of precise, real-world interaction data. ## The Data Problem Behind Physical AI While large language models trained on internet-scale text corpora have made rapid strides, robots face a fundamentally different challenge. They cannot simply ingest vast amounts of text…

# OpenAI Unveils GPT-6.1 Sol: A Mid-Tier Model That Delivers Near-Top-Tier Performance at a Fraction of the Cost OpenAI has introduced GPT-6.1 Sol, a significant upgrade to the mid-tier model in its GPT-6 family. The release targets a clear pain point for developers and enterprises: achieving high-quality results in agentic coding, computer use, and professional knowledge work without paying top-tier pricing. The model is now available through the OpenAI API under the identifier `gpt-6.1-sol`, as well as integrated into ChatGPT Work and Codex. ## What Sets GPT-6.1 Sol Apart? The headline improvement is economic. GPT-6.1 Sol delivers near-Astra performance on…

# Metadata Pre-Filtering in Vector Databases: Why Applying Filters Before Search Matters ## Introduction Vector search engines have become a cornerstone of modern AI applications, powering semantic search, retrieval-augmented generation (RAG), and autonomous agent systems. However, there has long been a tension in how these engines handle filtered queries — balancing the need to narrow results to a specific scope (such as a particular tenant, category, or time period) with the need to find the most semantically relevant matches within that scope. A new approach to this problem has emerged that fundamentally changes how filtered vector queries are executed: applying…

# openSUSE Leap 16.1 Introduces Immutable Mode, Elevating Linux Security to New Heights Linux distributions have long been celebrated for their stability, flexibility, and robust security. Among the most trusted names in the open-source ecosystem, openSUSE has consistently stood out as a distribution that prioritizes both usability and hardening. With the release of openSUSE Leap 16.1, the distribution is adding a significant new dimension to its already impressive security posture — an immutable mode built directly into its flagship stable release. ## What Is Immutable Mode and Why Does It Matter? Immutable mode is a feature that mounts the root…

# Streamflow Foundation Permanently Burns Vast Majority of STREAM Token Supply A major supply reduction has taken place in the STREAM token ecosystem after Streamflow Foundation executed an irreversible on-chain burn that wiped out nearly 70% of all tokens in existence. The transaction, carried out on the Solana blockchain, destroyed 699.99 million STREAM tokens in a single operation, bringing the total circulating and outstanding supply down from one billion to 300 million STREAM. ## Why This Burn Matters Token treasury allocations are widely regarded as one of the most influential factors in a cryptocurrency’s supply outlook. When a foundation or…

# Why Your MFA Is Failing You — And What to Do About It For years, security teams have treated multi-factor authentication as the silver bullet for account compromise. It appears on compliance checklists, cyber insurance forms, and boardroom slide decks with little scrutiny. The uncomfortable truth, however, is that not all MFA is created equal, and the gap between having “something” in place and having something truly secure has never been wider. A growing number of high-profile breaches are revealing an unsettling pattern: organizations had MFA enabled, yet attackers still walked through the front door. The difference lies entirely…

# AI for Engineers: A New Platform Dedicated to Practical AI Adoption in Engineering A new initiative has been introduced to serve the rapidly growing need for practical, practitioner-focused artificial intelligence resources within the engineering community. Anchored by a network spanning more than 20 engineering-focused media brands, this platform brings together editorial coverage, a flagship annual conference, original research, and an advisory council to help engineers and technical leaders navigate AI adoption in their work. The initiative is backed by an audience of over 2.1 million verified industry readers, nearly 29 million website visitors, 1.6 million email subscribers, and approximately…

This week, Cloudflare’s Impact programs will reach $100 million in donated services. It’s a significant milestone, and one that we are proud of because it means that thousands of organizations, like journalism outlets, civil society, state and local governments, election management bodies, and public schools are being protected from cyberattacks.But Cloudflare’s Impact programs have never been about philanthropy. They are a fundamental part of our business and our mission, and they continue to help guide almost everything we do.As we celebrate this milestone and our 16th Birthday Week, we wanted to revisit not only how we got here, but also…

# From Dumb Pipes to Smart Platforms: How Telecom Operators Are Unlocking the Hidden Value of Network Data For over a decade, the telecommunications industry has grappled with an uncomfortable paradox. Companies invested trillions of dollars building the physical infrastructure of the modern internet — laying fiber-optic cables across continents, acquiring precious radio spectrum, and engineering the sophisticated 5G networks that power today’s connected world. Yet the lion’s share of the revenue generated by this digital economy flows not to these network builders, but to the content platforms and advertising ecosystems that ride on top of their pipes. Netflix, search…

# Mastering Nested Measures in DAX: Filter Behavior, Pitfalls, and Solutions ## Introduction In data modeling and analytical development, nesting measures is a common practice. Analysts frequently build a base measure that handles aggregation and scaling, then layer additional measures on top that apply filters or time intelligence logic. This approach keeps code modular, reusable, and easier to maintain. However, nesting measures introduces a subtle but powerful challenge: when a nested measure and its calling measure both operate on the same column filter, the results may not be what you expect. Understanding how filters interact between nested measures is essential…