AI Infrastructure news and analysis on Web Pulse: 26786 curated articles tracking the latest AI Infrastructure developments, tools, and research, updated continuously from vetted sources.
A developer built MicroLoop, an open-source runtime safety layer written in Rust, to prevent autonomous AI agents from getting trapped in execution loops that waste API tokens and compute. The tool intercepts and verifie…
A developer tracked OpenRouter's daily usage rankings for a month to see which AI models developers actually use in production. The top five models by token volume were all from Chinese labs or open-weight providers, led…
Chinese food delivery giant Meituan released LongCat-2.0, a 1.6-trillion-parameter AI model trained entirely on domestic chips, claiming it as the country's first trillion-parameter model built on home-grown hardware. Th…
Moondream HQ reveals that GPUs often sit idle during AI model inference due to CPU overhead, a phenomenon called the 'GPU bubble.' The company's Photon system uses pipelined decoding to overlap CPU and GPU work, eliminat…
A developer documented three MCP (Model Context Protocol) hosting migrations on Cloud Run within a single year, each consuming 40-60 engineering hours. The churn highlights infrastructure instability in AI agent deployme…
Samsung Electronics shares surged up to 6.51% on June 1 after reports it began shipping samples of its next-generation HBM4E high-bandwidth memory chips to global customers, driven by strong AI demand. The stock closed a…
Yobi CTO Frank Portman explains why next-token prediction is insufficient for forecasting human behavior, detailing how the company builds a 'foundation model of behavior' using transformers and graph neural networks ins…
Microsoft announced at Build 2026 that WSL containers are now in public preview, allowing developers to build and run Linux workloads on Windows without third-party software. The feature is available in WSL build 2.9.3 v…
Microsoft CEO Satya Nadella unveiled the Surface RTX Spark Dev Box at the Microsoft Build conference on June 2, a desktop PC with 20 CPU cores, 128GB unified memory, and 1 petaflop of AI compute, enabling developers to r…
The Magnificent Seven tech stocks lost over $2.3 trillion in market value in June, as investors demand proof that AI revenue can catch up with massive infrastructure spending. The selloff reflects a shift in patience, wi…
Newegg has slashed $300 off the Stormcraft Phantom gaming PC, now priced at $2,799.99, featuring an RTX 5080, Ryzen 7 9800X3D, 32GB DDR5, and 2TB SSD, making it a compelling deal for 4K gaming during Prime Day.
A developer warns that building API-first products introduces hidden risks including unpredictable costs, rate limits, vendor lock-in, and shared reliability. The post advises evaluating changelog history, rate limit beh…
SAP Korea will host the SAP NOW AI Tour Korea event on July 14, 2026, at the Grand InterContinental Seoul Parnas, introducing the SAP Business AI Platform and SAP Autonomous Suite. Keynotes will be delivered by Jan Munke…
SAP Korea will host its annual SAP NOW AI Tour Korea event on July 14 at the Grand InterContinental Seoul Parnas, focusing on the company's Autonomous Enterprise strategy. The conference will feature keynotes from SAP ex…
Google DeepMind is reorganizing its AI coding strike team to add a dedicated midtraining phase, aiming to close the gap with Anthropic. The move, involving Sergey Brin and CTO Koray Kavukcuoglu, follows senior departures…
Google told Meta around March that it could not meet the full Gemini AI capacity Meta sought to purchase, delaying some of Meta's internal AI projects. The shortfall underscores how compute scarcity is becoming the bindi…
The S&P 500 crossed 7,600 for the first time in June and is closing Q2 2026 with roughly 11% gains, powered almost entirely by AI infrastructure spending. The rally is cracking open an IPO and funding window that was shu…
OpenAI's head of advertising, David Dugan, said the company plans to introduce third-party measurement for its ad platform, calling it a 'natural evolution.' The move aims to build advertiser trust by verifying ad delive…
Researchers at arXiv found that using large language models (LLMs) like GPT-5.2 to label training data for entity matching can reduce manual labeling effort by hundreds of hours, with student models performing within two…
Researchers developed an incremental approximate message passing (IAMP) algorithm for empirical risk minimization under a multi-index model, achieving near-optimal training and test error in high-dimensional asymptotics.…