AI Infrastructure news and analysis on Web Pulse: 35655 curated articles tracking the latest AI Infrastructure developments, tools, and research, updated continuously from vetted sources.
Enterprises granting AI agents autonomy must enforce governance at the operational data layer, not just through agent-level guardrails, according to a piece presented by EDB. The article argues that policies must be exec…
Adentris, a Y Combinator-backed startup (YC P25) building AI-powered compliance and revenue integrity infrastructure for behavioral health providers, is hiring a technical lead to own its platform end to end. The company…
Uber's experience highlights that enterprise AI adoption can scale faster than an organization's ability to measure economic value, according to a CIO guide on AI unit economics. The guide introduces a framework for eval…
Apple is expected to unveil a foldable iPhone prototype at its September 9 event, potentially marking its entry into the foldable market after years of development. The keynote will also highlight on-device AI integratio…
A developer explains the importance of chunking in Retrieval-Augmented Generation (RAG) systems, comparing it to cutting a pizza into manageable pieces. The post details how chunk size affects retrieval accuracy, balanci…
A single token of AI computation uses approximately 200 joules of energy, enough to power a 10W LED bulb for 20 seconds, and inefficient prompting can cost companies up to $1.19 million annually per 1,000 employees, acco…
An engineer has released Quant Harvest, an open-source Go control plane that schedules post-quantum cryptography workloads to run only when the electrical grid is cleanest. The tool buffers CPU-intensive PQC operations a…
Seven Japanese telecoms and technology companies—KDDI, NTT, Rakuten Mobile, NEC, 1Finity, Oki Electric Industry, and Sumitomo Electric Industries—secured approval from the ITU-T for the Y.3335 standard, a global framewor…
Analog AI chips could solve the battery drain problem in edge devices by performing neural network computations directly in hardware using physical properties like voltage and current, rather than moving data between mem…
Meta CEO Mark Zuckerberg is spending tens of billions of dollars to make Meta a leading frontier AI lab, including a $14 billion stake in Scale AI and plans for $130 billion to $145 billion in capital expenditures in 202…
Arka.norn released version 2.3.6, a local-first delivery framework for coding agents that provides a durable recovery source through published, fingerprinted plan revisions. The framework, built on Node.js 22.13+, enable…
Marcos Emowe has introduced Atomic Agents, a specification for building AI agents as text files with contracts rather than conversational sessions. The standard, running in production since August 2026, defines agents as…
An engineer's analysis highlights that controlling LLM costs in enterprise environments requires more than choosing cheaper models; it demands an AI gateway that handles intelligent routing, caching, and observability. T…
A new analysis warns that the AI industry is hitting a 'data wall' as high-quality human-generated text becomes scarce, with Epoch AI projecting exhaustion between 2026 and 2032. In response, synthetic data is surging—Ga…
NVIDIA and Google are racing to dominate the AI chip market, with NVIDIA's Blackwell and Rubin architectures and Google's TPU v8 and Ironwood v7 leading the shift toward energy-efficient 'tokens per watt' performance, as…
Apple's new M6/M5 Pro Mac mini and M5 Max/Ultra Mac Studio, shipping September 22, include several under-the-radar upgrades: PCIe Gen 6 SSDs with up to twice the speed, 2.5Gb Ethernet on the Mac mini, Wi-Fi 7 and Bluetoo…
Axium Lab has released a free REST API that serves pricing, context windows, and capability data for 3,214 LLM models from 127 providers, along with a cost estimator that itemizes each rate key used. The API reads a 1.7 …
Z.ai released GLM-5.3-Flash, an open-source model with 320 billion parameters that scores just three points behind the larger GLM-5.3 on Artificial Analysis's Intelligence Index, at a seventh of the cost. All inference t…
Vector RAG is emerging as the preferred retrieval method for production LLM applications, offering 5-10x faster retrieval times and lower costs compared to classic RAG. By using dense embeddings and approximate nearest n…
Mentat, a YC F24 launch, introduces runtime intervention for LLMs that modifies token probabilities mid-generation without fine-tuning, offering a third path for controlling model behavior. The technique, which adds 10-3…