DigestAI news desk
OpenAI board member warns company is not on track to prevent catastrophic AI loss of control OpenAI launches Agents API beta for long-running cloud agents OpenAI Unveils GPT‑6 Astra: Record‑Breaking 3D Rendering, Loop‑Transformer Architecture OpenAI solves Navier-Stokes problem, sparking academic controversy over data use OpenAI Introduces ChatGPT for Financial Services Anthropic releases 150-page report on global Claude misuse and distillation RTK Token Savings Debunked: Cost Benchmarks Disagree The Waymo effect: AI making research less collaborative
Category

Hardware & Compute

Chips, data centres, power and the compute race.

  1. ggml-org updates llama.cpp with Flash Attention tuning for AMD gfx1201

    The ggml‑org repository for the popular LLaMA inference engine has merged a pull request that adds Flash‑Attention tuning for the AMD gfx1201 GPU architecture. The change, authored by contributor 6b24ee9 and reviewed…

    1 source primary source
    github.com
  2. FPGAs Key to Securing Humanoid Robots, Says Lattice VP Eric Sivertson

    Lattice Semiconductor’s VP of security, Eric Sivertson, highlighted how field‑programmable gate arrays (FPGAs) can harden the safety and security of humanoid robots. He explained that FPGAs act as a root‑of‑trust,…

    1 source
    The Robot Report
  3. AGIBOT Unveils Blueprint to Scale Humanoid Robots from Lab to Market

    AGIBOT’s Yinghao Song will speak at RoboBusiness 2026 in Santa Clara about turning prototype humanoids into commercial products. The session, scheduled for Oct. 20, will outline a strategic plan that covers investment…

    1 source
    The Robot Report
  4. AI inference drives new focus on memory and storage architecture

    The rise of AI inference is reshaping data‑center design, pushing memory, storage and networking to the forefront of strategic planning. Jim McGregor, founder of Tirias Research, explains that inference workloads are…

    1 source
    MIT Technology Review AI
  5. d-Matrix adopts NVIDIA NVLink Fusion to connect Raptor XPUs to MGX rack platform

    d‑Matrix, a specialist in AI inference silicon, announced that its upcoming Raptor XPU family will be linked to NVIDIA’s AI infrastructure via NVLink Fusion. The move ties the custom XPUs into NVIDIA’s MGX rack…

    1 source primary source
    NVIDIA Blog
  6. NVIDIA’s robotaxi stack powers global driverless fleets

    NVIDIA’s end‑to‑end platform is now the backbone of every large‑scale robotaxi operation, handling AI model training, massive simulation, and in‑vehicle compute. The three‑computer architecture—DGX training rigs, RTX…

    1 source primary source
    NVIDIA Blog
  7. Fire at $3.2B Lake Mariner AI data center exposes safety and corporate complexity

    A fire in early June at the unfinished Lake Mariner data center in Somerset, New York, revealed significant gaps in emergency preparedness. Firefighters from the Barker Fire Department entered the building without…

    1 source
    Ars Technica AI
  8. Apple introduces Reference Image to verify iPhone photo authenticity

    Apple has unveiled Apple Reference Image, a new feature designed to combat the proliferation of AI-generated and manipulated content. Announced alongside the iPhone 18 Pro, this system captures signed sensor data at…

    2 sources
    The Verge AITechCrunch AI
  9. Apple CEO declares iPhone the best AI device, emphasizing privacy

    At the Surprise and Shine event on September 9, 2026, Apple’s newly appointed CEO John Ternus outlined the company’s AI roadmap, declaring the iPhone the best AI device and positioning it as an “intelligent personal…

    1 source
    TechCrunch AI
  10. Apple Duo foldable uses AI and 3D printing for precise hinge alignment

    Apple has unveiled the Duo, its first foldable smartphone, at its Surprise and Shine event. The device addresses common durability issues in the foldable category by leveraging artificial intelligence and advanced…

    1 source
    TechCrunch AI
  11. Thelio Mira AI Linux Workstation with 192 GB GPU Memory

    System76's Thelio Mira AI workstation, built for local AI development, features up to 192 GB GPU memory. Configurable with a 16-core AMD Ryzen 9000 CPU, 192 GB DDR5 RAM, and dual NVIDIA RTX Pro 6000 GPUs, it's ideal…

    1 source HN 109
    system76.com