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Latest articles, page 92

  1. Muon Optimizer: How Matrix Orthogonalization and Newton-Schulz Iterations Accelerate LLM Training

    Modern large language model pre-training has relied on AdamW as its default optimizer for nearly a decade. While AdamW provides robust convergence across varied architectures, its fundamental formulation treats neural network weights as flat collections of independent scalar parameters. For the 2D weight matrices that dominate Transformer architectures—including attention projections and feed-forward linear layers—this coordinate-wise treatment ignores the underlying matrix geometry and singular

    AI
    5 min read

  2. TerraPower Targets AI Data Centers with Natrium SMR and Molten Salt Thermal Storage

    Nuclear technology developer TerraPower announced plans to finalize its first dedicated data center power project this year, positioning its Natrium sodium-cooled fast reactor architecture to meet the volatile power demands of artificial intelligence infrastructure. The project, slated to break ground in 2027, marks the company's second commercial deployment following its initial facility currently under construction in Kemmerer, Wyoming. In January, Meta signed an agreement with TerraPower to

    AI
    2 min read

  3. Replit Launches Free Mode Powered by OpenAI's GPT-5.6 Luna

    Software development platform Replit announced the rollout of Free Mode, a tier powered by OpenAI's GPT-5.6 Luna model designed to support zero-cost planning, exploration, and codebase assistance. The integration utilizes recent inference cost reductions and efficiency improvements within the GPT-5.6 model family to provide unmetered conversational assistance without drawing from paid compute budgets. Model Routing and Persistent Project Context Replit Free Mode integrates directly into the

    AI
    1 min read

  4. Harness Ships AI Security Agents to Automate Vulnerability Scanning and Pipeline Remediation

    Software delivery platform Harness released a suite of specialized AI security agents designed to automate vulnerability detection, triage, and code remediation directly within continuous integration pipelines. The release targets the growing operational disparity between automated vulnerability discovery and manual patch deployment. According to the Edgescan 2026 Vulnerability Statistics Report, organizations average 55 days to remediate reported software vulnerabilities. Conversely, automated

    AI
    2 min read

  5. Cache-Aware Load Balancing in Production LLM Serving: Architecture, Prefix Affinity, and Multi-Replica Routing Trade-Offs

    Cache-Aware Load Balancing in Production LLM Serving: Architecture, Prefix Affinity, and Multi-Replica Routing Trade-Offs When scaling large language model inference across multiple GPU worker nodes, standard Layer-4 and Layer-7 load balancing algorithms create an unseen performance cliff. Round-robin, least-connections, and random routing distribute HTTP/gRPC requests uniformly across compute replicas. However, modern LLM inference engines rely on prompt caching mechanisms, such as vLLM Automa

    AI
    6 min read

  6. SwiGLU and Gated Linear Units: How Bilinear Gating Replaced Standard FFNs in Modern LLMs

    Every modern open-weight and frontier large language model, from Meta's LLaMA 3 and Mistral to Alibaba's Qwen 2.5 and DeepSeek-V3, has abandoned the standard two-layer Feed-Forward Network (FFN) originally introduced in the 2017 Transformer architecture. In its place, model architectures have converged almost universally on Gated Linear Units (GLU), specifically the Swish-Gated Linear Unit (SwiGLU). While the original Transformer relied on standard non-linear activations like ReLU or Gaussian E

    AI
    6 min read

  7. Nvidia Acts as Matchmaker for Nordic Datacenter Capacity to Ease AI Compute Bottlenecks

    Nvidia is directly brokering compute infrastructure deals by connecting enterprise customers holding graphics processing units with datacenter operators in the Nordic region that possess available power, cooling, and floor capacity, according to reporting by CNBC. The matchmaking initiative reflects Nvidia's efforts to mitigate severe power grid bottlenecks in North America and Western Europe that threaten to stall AI cluster deployments. By pairing hardware buyers directly with site operators

    AI
    2 min read

  8. Leaked Flock Safety Code Exposes OS Investigate AI System for Police Surveillance

    A technical analysis of client-side code exposed on Flock Safety's login portals has revealed OS Investigate, an unannounced artificial intelligence platform designed to track individuals and analyze vehicular travel patterns across police departments nationwide. The findings, first reported by WIRED and verified by independent security researchers, detail an AI-driven investigative system that links automated license plate reader (ALPR) networks with police databases and commercial records. Fl

    AI
    2 min read

  9. Marvell Issues Google $12.2B Stock Warrant in Custom AI Silicon Deal

    Marvell Technology has granted Alphabet's Google a warrant to purchase up to 58.9 million shares of common stock at an exercise price of $206.58 per share, establishing an equity arrangement valued at up to $12.18 billion. The agreement expands the companies' partnership to co-develop custom artificial intelligence silicon, specialized networking, and next-generation datacenter infrastructure. Following the announcement, Marvell shares rose more than 11% in premarket trading, while primary cust

    AI
    1 min read

  10. Cloud Browser Infrastructure for AI Agents: Architecture, Anti-Bot Bypassing, Session State, and Fleet Scaling

    Autonomous AI agents require interactive web environments to navigate single-page applications, authenticate across complex portals, fill multi-step forms, and extract dynamic client-rendered data. However, running headless browsers at scale introduces severe operational bottlenecks. Ephemeral container instances (such as Docker containers or AWS Lambda functions) frequently suffer from cold starts, memory leaks, fingerprint leakage, and instant IP blacklisting by bot-detection networks. To sol

    AI
    6 min read