Most Data Centers Withhold Water and Electricity Consumption Figures

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A majority of data centers are declining to disclose how much water and electricity they consume, raising transparency concerns. This information gap makes it difficult for regulators, researchers, and the public to assess the environmental impact of the rapidly growing industry. The refusals have been reported as of late September 2026, highlighting an ongoing accountability challenge. The lack of disclosure is particularly notable given increasing scrutiny over data centers' strain on local power grids and water supplies.

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Cloud Security Alliance's 6-Level Model Helps Teams Measure AI Agent Autonomy

The Cloud Security Alliance has proposed a six-level framework — ranging from Level 0 (no autonomy) to Level 5 (full autonomy) — to help security teams assess how independently AI agents can act without human involvement. The model draws inspiration from the SAE's vehicle automation levels and is designed to guide oversight and governance of agentic AI systems. A key security concern is that an agent's actual reach often exceeds its intended boundaries, as determined by the credentials it holds. GitGuardian reported an 81% rise in AI-service credentials, surpassing 1.27 million, with 64% of credentials from 2022 still active in early 2026. To address this, GitGuardian offers tools to inventory agent access, rank credentials by risk, and prevent secrets from spreading through AI coding tools such as Claude Code, Cursor, and Copilot.

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ProgrammingDEV Community ·

Playwright MCP Lets Claude Code Control a Real Browser in 2-Minute Setup

Microsoft's Playwright MCP server can be integrated with Claude Code to enable the AI agent to open a real browser, click through pages, fill forms, and read rendered content directly. Instead of relying on user-described summaries of web pages, the tool uses accessibility snapshots to give Claude Code an accurate view of live page content. Setup requires a single CLI command using npx, which handles the download automatically without a separate installation step. Users must restart Claude Code after adding the server and can verify the connection by running the /mcp command inside a session. Optional flags allow headless operation, isolated browser profiles, and support for alternative engines including Firefox, WebKit, and Microsoft Edge.

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ProgrammingDEV Community ·

Word Embeddings Explained: How NLP Models Learn Relationships Between Words

Word embeddings represent words as numerical vectors, allowing machines to understand semantic relationships that plain text cannot convey. The core linguistic principle behind this approach is that words appearing in similar contexts tend to carry related meanings. Word2Vec, a method developed by Google researchers, learns these vector representations using two techniques: CBOW, which predicts a word from its surrounding context, and Skip-gram, which does the reverse. Developers can experiment with Word2Vec using Python's gensim library, though meaningful results require training on large, representative text corpora rather than small sample datasets. These embeddings power a range of NLP applications including text classification, sentiment analysis, search, and recommendation systems.

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ProgrammingDEV Community ·

Dev Guide: Building a Production-Grade Pons Token Scanner on Robinhood Chain

A developer tutorial on DEV Community outlines how to build a structured Pons Token Scanner on Robinhood Chain, an EVM-compatible Arbitrum Layer-2 network using chain ID 4663 and ETH as its gas token. Unlike basic demo scripts, a production-grade scanner is designed to convert raw blockchain events into structured data consumable by trading bots, dashboards, and alert systems. The guide uses TypeScript and the viem library to connect to Robinhood Chain's RPC and index events directly from Pons V2 smart contracts, eliminating reliance on third-party APIs. Pons V2 follows a bonding-curve lifecycle — from token creation through trading to graduation into a locked Uniswap V4 pool — and the tutorial recommends building version-aware protocol adapters to handle differences between V1 and V2. The author also advises using a dedicated RPC provider like Alchemy over the public endpoint for any production deployment.

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