Amazon pledges $20M for Colorado River conservation amid data center water scrutiny

Amazon has announced a $20 million investment in water conservation projects along the Colorado River, a vital water source for 40 million people in the western United States. The initiative, launched under a new Colorado River Basin Collaborative, comes as tech companies face growing pressure over the water consumption of their data centers. Amazon has set a goal to become 'water positive' — replenishing more water than it consumes — by the end of the decade. The company has recently shared some data on its water usage, but critics say the disclosure remains incomplete. The full scope of Amazon's water footprint across its operations is still not publicly known.

Grounds in writing a must during arrests even in UAPA: Supreme Court

Google Expands Gemini Notebook With Code Execution and Cross-Ecosystem Sync

Google rebranded NotebookLM as Gemini Notebook in July 2026 and announced expanded capabilities including notebook code execution and cross-ecosystem syncing. A separate September 2026 update introduced Notebooks in Gemini as a dedicated workspace for schools and organisations. While Google's Studio materials reference generated artifacts and allow users to select them within the Studio panel, no official documentation confirms a redesign or reorganisation of an artifacts tab. Google has not published a rollout timeline or feature details for any such change, making it premature for teams to plan around it. The confirmed story remains Gemini Notebook's broader evolution into a more connected, cross-ecosystem workspace.

Developer Builds HashDup, a Memory-Safe Duplicate File Finder CLI in Node.js

A developer has released HashDup, an open-source command-line tool built with native Node.js to find and report duplicate files on a system. The tool addresses two common problems with naive duplicate-detection scripts: wasted CPU and disk I/O from hashing every file, and out-of-memory crashes when loading large files into RAM. HashDup uses a two-phase pipeline that first filters files by size using lightweight metadata checks, discarding unique-sized files before any content is read, then applies chunked SHA-256 streaming hashes only to size-matched candidates. By processing files in 64KB buffers rather than loading them whole, the tool keeps memory usage constant at around 30MB regardless of file size. HashDup is available under the MIT license and can be run immediately via npx from the GitHub repository at github.com/mahdyarmonfared/hashdup-cli.

Dev.to User Calls Out Surge of AI-Generated Posts on the Platform

A Dev.to community member has voiced frustration over what they describe as a near-total flood of AI-generated content on the developer blogging platform. The user argues that LLM-produced writing is easily identifiable due to its unnatural tone and style. They also criticized the length of many posts, suggesting that ideas worth sharing should be expressible in three to four paragraphs. The comment reflects a broader ongoing debate within online writing communities about authenticity and the growing presence of AI-assisted content.

CleanDrop: Open-Source Node.js CLI Tool Organizes Downloads Folder Safely

A developer has released CleanDrop, a zero-dependency Node.js command-line utility designed to automatically sort cluttered Downloads folders into categorized subfolders. The tool addresses common risks of ad-hoc scripts by offering a dry-run mode that previews all planned file moves without making any changes to disk. CleanDrop also includes an undo command that reverses a sorting batch using a local history log, and it prevents data loss by renaming duplicate files rather than overwriting them. Built entirely on native Node.js filesystem APIs, it requires no npm dependencies and can be run instantly via npx without a global install. The project is open-source under the MIT license and is available on GitHub at github.com/mahdyarmonfared/cleandrop.

CVE-2026-17633: Authenticated RCE Flaw Found in Langflow OSS Versions Up to 1.10.3

A high-severity remote code execution vulnerability, tracked as CVE-2026-17633 with a CVSS score of 8.5, has been disclosed in Langflow OSS versions 1.0.0 through 1.10.3. The flaw exists in the POST /api/v1/custom_component endpoint, which allows authenticated users to submit arbitrary Python code when the LANGFLOW_ALLOW_CUSTOM_COMPONENTS setting is enabled. The endpoint's security check only verifies whether a user has permission to create custom components, but never inspects the content of the submitted code for malicious instructions. An attacker can exploit this by placing a system command inside a class body, causing it to execute at class-definition time via an unchecked exec() call in the platform's component-building logic. The vulnerability is classified under CWE-94 (Improper Control of Code Generation) and requires no special encoding or bypass techniques to exploit successfully.

Trump Accuses CNN, Politico of Distorting Coverage, Files White House Lawsuit

President Donald Trump has filed a lawsuit against CNN and Politico, accusing the news organisations of distorting his record and misrepresenting his administration's work. Trump claimed the outlets posed a threat to democracy through their coverage. He insisted that the Oval Office deserves decorum, respect, and dignity, framing the legal action as a defense of presidential integrity. The lawsuit marks an escalation in Trump's long-running conflict with certain mainstream media organisations.

Spymarks: How Digital Watermarks Can Be Used to Track Users

A newly discussed concept called 'spymarks' highlights how digital watermarks, traditionally used to protect intellectual property, can also function as covert tracking tools. Unlike standard watermarks that identify content ownership, spymarks can embed hidden identifiers that reveal information about the recipient or viewer. The article, published on brand.io, raises concerns about the dual-use nature of watermarking technology. The discussion has gained traction on Hacker News, prompting debate around privacy implications of widely used digital marking systems.

How to prioritize zero-day patching when resources fall short

Most organizations cannot patch every vulnerability immediately due to resource limits, legacy systems, and the risk of patch-induced outages. Zero-day vulnerabilities are especially challenging because they are exploited before vendors release a fix, leaving defenders with incomplete information and a narrow response window. Security experts recommend a risk-based triage approach rather than blanket emergency patching across all infrastructure. The strategy centers on identifying the most critical assets first — such as systems holding sensitive data or public-facing servers — and deploying compensating controls where direct patches are not yet safe to apply. This selective patching framework aims to reduce overall risk exposure while buying time to address less critical systems in a controlled manner.

GTK's GtkListView Factory Explained: How Setup, Bind, and Unbind Work

A developer tutorial series on GTK widgets has published a detailed guide explaining the full lifecycle of SignalListItemFactory in GtkListView. The factory uses four signals — setup, bind, unbind, and teardown — where setup builds widget trees once per recycled row slot and bind fills them with item-specific data on every reuse. Because GTK recycles row slots during scrolling rather than creating new widgets per item, bind behaves more like an update function than a constructor, a distinction the API does not make obvious. Failing to implement unbind can cause subtle bugs, such as CSS classes accumulating across recycled rows or signal handlers stacking up and firing multiple times. The guide stresses that unbind is the correct place to reverse anything bind applies, rather than patching bind itself to handle both states.

How Layered Layouts Keep Large JSON Editors Fast During Edits

Editing large JSON documents in browser-based visualizers can cause page freezes when tools recompute the entire layout after every change. Developer Treease, while optimizing for 50 MB documents, identified that separating data, layout, and viewport into distinct layers significantly reduces unnecessary computation. A layered layout approach derives node positions directly from JSON structure and reading order, rather than balancing the whole graph globally. This means adding or modifying a single field only triggers recalculation of the affected subtree, leaving unrelated nodes untouched. The approach preserves full document context for features like search and navigation while keeping incremental and streaming updates efficient.

Developer Reflects on Six Years of Running a Side-Hustle and Tech Blog

In September 2019, a software developer and technical architect launched a website called Money For My Beer, initially focused on finding small, legitimate ways to earn extra income online. Over six years, the site evolved beyond side hustles to cover technology, SEO, security, business, travel, and gardening, driven by the author's expanding personal interests rather than any planned content strategy. The author emphasizes a research-first approach, distinguishing between professional expertise and topics requiring reliance on authoritative external sources. Running the site has also deepened his understanding of SEO in practice, including hands-on use of Google Search Console to track real search behavior and page performance. He credits the experience with teaching him that a long-running web project can organically transform into something far removed from its original concept.

Impostor Syndrome for Developers From Emerging Countries Is a Real Access Gap

Daniel, a 27-year-old Brazilian developer, shares how he overcame impostor syndrome to land his first international tech job in 2021 after starting to code in 2011. He argues that the self-doubt many developers from emerging countries feel is not purely psychological but rooted in a genuine inequality of access to English-language resources and global tech culture. The internet and early technical content were built primarily in the US and Western Europe, meaning developers from countries like Brazil face real structural disadvantages in language, education, and connectivity. Brazil ranks 75th out of 123 countries in the EF English Proficiency Index 2025, still within the low-proficiency band, highlighting the language barrier many developers must overcome. Daniel emphasizes that conflating poor English with poor technical ability is a logical error, not a fair self-assessment, and urges developers to separate questions of access from questions of skill.

17-year-old Naga boy killed in Manipur ambush

EU's Kallas Urges Keeping Sanctions on Russia to Cut War Funding

EU foreign policy chief Kaja Kallas has called for maintaining sanctions against Russia, describing them as a central element of Europe's response to the ongoing war. She made the remarks to reporters in New York following a meeting of EU foreign affairs ministers. Kallas emphasized that the sanctions serve to deprive Moscow of the financial resources needed to sustain its military campaign. The statement signals continued European resolve to keep economic pressure on Russia.

Dev builds Chrome extension for live translated captions on Meet, Zoom and Teams

An independent developer has built a Chrome extension that displays real-time translated captions for browser-based video calls on Google Meet, Zoom, and Teams, without requiring a bot to join the call. The extension captures tab audio using Chrome's MV3 service worker architecture and an offscreen document, routing the stream back to speakers so users can still hear the call. Early versions used separate Deepgram and DeepL services for speech recognition and translation, but interim-result retranslation inflated costs to roughly $2.55 per hour of call. The developer switched to Soniox's stt-rt-v5 model, which handles both recognition and translation in a single stream, reducing complexity and cost. Key technical hurdles included handling stale tab capture locks, managing activeTab permission resets after page navigation, and correctly parsing server-side end-of-line signals undocumented by the provider.

AI-Built 'Museum of Almost Right' Shows How Assumptions Skew Data Results

A developer named Jianqiang, working with AI assistant Codex, has built an interactive web exhibit called 'Museum of Almost Right' for the Sanity Challenge. The project presents four synthetic datasets where visitors can toggle between competing assumptions — such as numeric versus default sorting or different treatments of missing values — to see how the same data yields different results. Built using Astro and Sanity, the museum requires no visitor account and is publicly accessible without any paid API dependency. The goal is not to score users but to help them identify the specific condition that makes a given data interpretation defensible. All datasets are invented for educational purposes, and the project's code and content are released under the MIT license.

Independent Researcher Trains 1.18B LLM From Scratch on a Single Consumer GPU

Independent researcher Mert Çetin of Me Force Technology has trained CetinLM Base-v1, a 1.18-billion-parameter language model, entirely from scratch using a single RTX 4070 Ti SUPER desktop GPU with 16GB of VRAM. The model has surpassed 3.80 billion training tokens, with validation loss continuing to fall steadily from 2.592976 at 3.60B tokens to 2.577079 at 3.80B tokens, showing no signs of plateauing. Rather than relying on large-scale web data dumps, Çetin built a curated proprietary dataset over a week-long pipeline, aiming for higher logical density per token. The base model, which has not yet undergone instruction fine-tuning or alignment, reportedly runs at around 48 tokens per second on a local interface and has shown coherent responses in both English and Turkish. Çetin argues the project demonstrates that foundational language model research does not require massive compute clusters or venture capital funding to produce stable, meaningful results.

Developer Proposes PHP-Based AI Agent Framework to Leverage Existing Web Hosting

A developer has proposed building AI agents using PHP, arguing that the language already powers at least half of the internet and runs on widely available, low-cost hosting infrastructure. The idea challenges the dominance of Python and Node.js in AI development, which the author says locks builders into commercial providers. The author draws a parallel to WordPress, which succeeded by being open, accessible, and easy to deploy on mainstream shared hosting. The proposal questions whether the millions of servers already configured for WordPress-style setups will realistically migrate to Django or Node.js environments within the next five years. The core argument is that an agent-first PHP framework could replicate WordPress's broad adoption by meeting developers where existing infrastructure already lives.