AI Infrastructure

Meta launched Muse Spark, its first proprietary AI model with a paid developer tier, reversing its open-source strategy. The model powers Meta AI with visual reasoning and tool-use capabilities, but public API rollout ha…

Tokenstead, a new web tool, lets users select their hardware to find compatible open AI models with speed estimates and cloud-pricing comparisons, aiming to enable local AI model usage independent of vendors or governmen…

Commonwealth Bank of Australia partnered with Microsoft to build an AI-powered omni-channel customer service platform, handling over two million conversations monthly. The solution, co-engineered in under two years, uses…

ZML launched LLMD, a free inference server that runs LLaMA, Gemma, Qwen, and Mistral models on NVIDIA, AMD, Google TPU, Intel, and Apple hardware from a single Docker image. Built in Zig and compiled via MLIR and OpenXLA…

Computacenter shares rose after the hardware reseller joined the FTSE 100, benefiting from surging demand for data centre infrastructure driven by the AI boom. The company is one of the few London-listed tech groups capi…

Bitcoin faces a quantum computing threat to its ECDSA security, with post-quantum signatures like ML-DSA and SLH-DSA being 10-70 times larger, potentially requiring block size increases to 64 MiB or STARK proof compressi…

Meta Platforms released developer access to its Muse Spark AI model and an upgraded version, Muse Spark 1.1, on Thursday, positioning it against Anthropic and OpenAI. The model, priced at $1.25 per million input tokens a…

OpenAI introduced GPT-Live, a new model family powering ChatGPT Voice for over 150 million weekly users, redesigned around low latency and speech-native reasoning. The engineering overhaul moves from cascaded to real-tim…

OpenClaw, a personal AI assistant created by Peter Steinberger, bridges local Ollama models to messaging apps like Telegram, WhatsApp, and Slack, enabling private, hardware-based AI interactions. The project, which passe…

Meta released Muse Spark 1.1, an AI model for coding, available to US developers via a public API preview. The model improves on its predecessor with advanced bug detection, end-to-end agentic workflows, and multimodal p…

AI model security requires protecting machine learning models from vulnerabilities including prompt injection, model extraction, and supply chain risks, with early decisions and frameworks like NIST's AI RMF being critic…

MoonPay has integrated its AI-powered crypto agents into Telegram, enabling over 100 million users to fund wallets, swap tokens, and execute on-chain trades directly within the messaging app. The move turns Telegram into…

5C and AMD announced a strategic collaboration on July 9, 2026, to build next-generation gigascale AI campuses, combining AMD's AI technology with 5C's infrastructure design and operations expertise. The partnership sign…

Micron Technology, Sandisk, and Marvell stocks jumped on Thursday, leading a broader chip sector rally driven by AI memory demand. The gains followed reports that SK Hynix's US IPO is oversubscribed, signaling institutio…

Hamza built Satori, an open-source, read-only codebase map for MCP-compatible AI coding agents. It provides a structured investigation path to help agents efficiently navigate symbols, ownership boundaries, and dependenc…

Citrix announced MCP Gateway, a new feature for its NetScaler platform that enables enterprises to securely route, govern, and observe agent traffic to backend Model Context Protocol servers. The company also enhanced Ne…

Prime Intellect launched Lab, a full-stack platform for training and optimizing AI models through agentic post-training, unifying environments, hosted training, and evaluations. The platform aims to democratize frontier …

Micron Technology committed $200 billion to US memory chip manufacturing and R&D through 2035, a $30 billion increase from prior pledges, aiming to produce 40% of its DRAM domestically. The expansion, supported by up to …

Manufacturers are rapidly adopting artificial intelligence, but many are failing to see significant returns due to weak procurement discipline rather than flawed technology, according to a Forbes analysis.

Apple is reportedly interested in PrismML technology for running compressed large language models on-device, including a 27-billion-parameter Qwen 3.6 model on an iPhone 17 Pro, according to a 9to5Mac report citing The I…