Author: Carter

Prime Intellect has released prime-rl version 0.6.0. The framework targets reinforcement learning on trillion-parameter Mixture-of-Experts (MoE) models. It focuses on heavy agentic workloads, like long-horizon software-engineering tasks. The research team trained GLM-5 on SWE tasks at up to 131k sequence length. Step times stayed under five minutes. The batch size was 256 rollouts. The run used only 28 H200 nodes. TL;DR prime-rl 0.6.0 trains trillion-parameter MoE models on agentic RL workloads. GLM-5 trained on SWE at 131k sequence length, sub-5-minute steps, 28 H200 nodes. Asynchronous RL disaggregates trainer and inference for independent optimization. Inference uses FP8, Wide EP, P/D disaggregation,…

Microsoft has rolled out KB5095093, a preview cumulative update for Windows 11 versions 24H2 and 25H2. This release addresses a wide range of bugs and starts introducing new capabilities, most notably the Point-in-Time Restore feature. KB5095093 falls under Microsoft’s optional non-security preview program. These updates arrive at the close of each month to trial fixes and features slated for the following month’s Patch Tuesday. Unlike standard Patch Tuesday releases, these monthly preview updates are optional and do not carry security patches. To install KB5095093, head to Settings, select Windows Update, and click “Check for Updates.” Since this is an optional…

Datalab has released lift, a 9B open-weights vision model for structured extraction. You pass it a JSON schema, and it returns a JSON object that matches. The model reads PDFs and images directly, then decodes against your schema. This is Datalab’s first model built purely for extraction. The team already ships open-source OCR tools: chandra, marker, and surya. lift extends that work into schema-driven field extraction. lift scores 90.2% field accuracy on Datalab’s 225-document benchmark. The research team reports it as the strongest small self-hostable model they tested. It runs at a median of 9.5 seconds per document. What is…

Last week, the AWS Summit in New York City gathered thousands of customers, partners, and cloud builders for a complimentary, single-day event highlighting the newest advances in cloud computing and artificial intelligence. During his keynote address, Dr. Swami Sivasubramanian, Vice President of Agentic AI at AWS, introduced a series of AI-powered launches, all centered on a single core idea: AI agents that grow more valuable the longer they’re used. Agents for working – You can now spin up autonomous AI agents and tap into a more intelligent activity feed through new Amazon Quick capabilities. These allow you to build and…

The launch of London Climate Action Week 2026 carried a certain sense of irony. While government officials, corporate executives, and environmental specialists convened throughout the capital to deliberate on climate strategies and preparedness, a wealth of data pointed to the arrival of yet another heatwave. Readings from smartphones, wearable devices, and embedded infrastructure sensors all confirmed that temperatures were soaring. Conditions were, in fact, so extreme that event organizers were compelled to issue an urgent heat advisory — the very problem many participants had come to tackle. For Rodrigo Fernandes, Sustainability Director at Bentley Systems and a conference attendee, the…

Two-part structural adhesives give manufacturers notable benefits, such as robust bonding capability, extended shelf life, and compatibility with diverse materials. However, unlike single-component adhesives that are ready to use right out of the package, two-part formulations demand accurate metering and thorough mixing before application. When the resin and hardener aren’t blended in the correct proportion, or if mixing is insufficient, the adhesive may not cure as expected or reach its designed strength. Since the curing reaction initiates the instant the two components come into contact, manufacturers generally depend on automated meter-mix-and-dispense equipment to combine the materials directly on the production…

Sponsored Content In 2026, data science job postings are placing greater emphasis on mathematical proficiency than ever before. However, many beginners jump directly into Python libraries and Jupyter notebooks, relying solely on coding skills to get by. This approach rarely succeeds. Linear algebra, calculus, probability, and statistics — these four areas separate those who simply execute pre-built models from those who genuinely comprehend how and why those models function. A strong command of fundamental mathematics sharpens your instincts, accelerates troubleshooting, and enables creative problem-solving that no imported library can replicate. Studying one-on-one with a tutor through platforms like Superprof can…

Morning Minute is a daily email briefing penned by Tyler Warner. The insights and viewpoints shared are solely his and may not align with those of Decrypt. Be sure to tune into our brand-new daily news podcast covering all the biggest stories in just 5 minutes, available on Apple Podcasts or Spotify.GM!Here are today’s biggest stories: Major cryptocurrencies drop 3-7% amid a broader stock market sell-off; Bitcoin sits at $62,300 Saylor secures $300 million in cash reserves; MSTR slides 5% Fomo app lands $75 million at a $550 million valuation as it pushes into an everything-app model Bitmine, Sharplink and…

Why Outsourcing Security Is a Strategic Move, Not Just an Operational One Cybersecurity Outsourcing: More Than Savings — Why It’s a Strategic Choice, Not Just a Tactical One Handing over information security operations to an outside partner can deliver powerful advantages — but it also introduces serious challenges.How can companies make sure their security is truly in capable hands? How do they strike the right balance between cost savings, operational efficiency, and maintaining control? Drawing from the book “Outsourcing Strategies for Information Security Operations” by Pedro Nuno Trindade dos Santos, this article explores outsourcing frameworks, how to evaluate vendors, the…

Introduction There was a time when being fluent in a programming language was the ultimate edge. If you could code, you held the upper hand — you could craft software and automate tedious processes while everyone else relied on you. Today, that landscape has shifted entirely. Anyone can now build AI-powered solutions without writing a single line of code. AI has grown well beyond simple chatbots. Not long ago, mastering ChatGPT was enough to set you apart from the crowd. By 2025, creating local Agents still mostly required writing Python, with developers leaning on frameworks like LangChain to run open-source…