Data news and analysis on Web Pulse: 577 curated articles tracking the latest Data developments, tools, and research, updated continuously from vetted sources.
Release of datasette-agent-charts version 0.1a2 on May 21, 2026, which adds "View SQL query" buttons below rendered charts. It also lists recent related articles, including a post about Datasette Agent from the same date…
Six sessions from the upcoming QCon AI Boston 2026 conference that focus on the practical challenges of moving AI prototypes into reliable production systems. Key topics include managing latency and performance regressio…
The datasette-agent 0.1a3 update, released on 21st May 2026, adds "View SQL query" buttons for visible tables and collapsed SQL result tool calls, while also hiding empty reasoning chunks. It improves handling of truncat…
Based solely on the provided text, the article is titled "AWS parades orgs that took up its offer for Euro Sovereign Cloud." The body of the text does not contain the article's content, but instead lists unrelated event …
The article compares two consistent hashing approaches in Elixir: Discord's ExHashRing, which requires managing stateful processes, and Rendezvous (Highest Random Weight) hashing, which is a stateless, purely functional …
AI systems often provide confidently incorrect information by citing outdated government webpages, especially during weekends or holidays when official publishing cycles pause. This occurs because AI processes fragment a…
Measuring how often AI search engines cite a website is a difficult but essential task, as there is no equivalent of Google Search Console for AI platforms. It recommends two practical methods: tracking AI referral traff…
Building a local, CPU-only LLM agent to automate the generation of work lists from monthly developer reports. The system, which runs entirely on internal servers to address data privacy concerns, normalizes chaotic repor…
While employee use of AI tools like ChatGPT and Claude offers productivity benefits, it also creates security risks by allowing company data to leave the organization without standard controls. It recommends against simp…
Running large language model inference servers like vLLM and TGI in production requires specialized observability because they behave differently from standard web services, with key metrics like latency being multi-dime…
Challenges of integrating an LLM into a 12-year-old fintech codebase, including issues like the LLM becoming a blocking dependency in a money flow, producing confident but incorrect outputs due to inconsistent historical…
While standard RAG (Retrieval-Augmented Generation) is effective for simple lookup questions, it struggles with complex queries requiring an understanding of relationships between entities. GraphRAG addresses this limita…
The author, a photographer and software developer who splits time between the Maasai Mara and coding, built a local AI system on a five-year-old MacBook to solve the problem of indexing a year's worth of unlabeled video …
The article criticizes the practice of pasting lengthy, AI-generated responses into conversations where a brief human reply is expected, labeling such outputs as "slop grenades." It argues that this behavior wastes the r…
Backlog recovery time depends on surplus capacity (total processing rate minus arrival rate), and systems provisioned for steady-state traffic have no recovery capacity. The non-linear relationship between utilization an…
Enterprise AI projects often fail not because of poor model performance, but due to fragmented and disconnected data spread across multiple systems like CRM, billing, and support platforms. The core challenge is not mode…
FrugalSloth is a browser-based tool that trains small neural networks locally using WebGL and WebAssembly, ensuring full privacy since data and model weights never leave the user's machine. It requires no installation, o…
Production-ready AI video should be measured by "cost per usable clip" rather than simple generation cost, as this metric accounts for retries, human review, editing, and compliance overhead. It provides a framework for …
The article corrects a previous analysis that claimed 26 of 39 AI companies were vulnerable to email spoofing due to SPF softfail settings. The author explains that SPF alone is misleading, as DMARC enforcement and DKIM …
Memduck, a self-hosted AI memory workspace designed to solve the problem of scattered context across browser tabs, screenshots, chat messages, and copied text. Users can save material from various sources into a local wo…