AI Infrastructure news and analysis on Web Pulse: 21884 curated articles tracking the latest AI Infrastructure developments, tools, and research, updated continuously from vetted sources.
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…
GitHub Actions experienced delayed and failed job starts on GitHub-hosted runners from July 9, 2026, 03:29 UTC to 13:39 UTC due to an unhealthy backend data service, with approximately 8% of workflow runs delayed over 5 …
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…
Anthropic released the Model Context Protocol (MCP) in November 2024 as an open standard that lets AI models connect to external tools and data without custom integrations. By early 2025, OpenAI and Google DeepMind adopt…
Vectogate launched an AI governance platform in private beta to help organizations secure and manage autonomous AI agents that access sensitive data and internal systems. The platform addresses enterprise governance chal…
Mercor, the $10 billion AI talent platform, acquired Deeptune, a startup building simulation environments for AI agent training, in a deal announced July 9. The acquisition signals growing investment in AI training infra…
Search Engine Journal published Duane Forrester's July 2026 analysis arguing that AI answer engines reward recycled web content, creating a feedback loop that degrades data quality in training and retrieval pipelines. Th…
Enterprises are struggling with AI deployments that deliver incorrect answers, not due to data issues but because of flawed knowledge architecture, according to a Forbes article by Daniel Fallmann.
Forward-deployed engineers (FDEs) are emerging as a key role in the AI-driven job market, according to a Forbes analysis. The piece examines how technical expertise remains crucial as AI reshapes employment, with FDEs po…