Melinda Gates' father worked for NASA; women engineers there inspired her work

Anthropic Signs $35B Cloud Deal With Lambda, Bypassing Big Tech Giants

AI safety company Anthropic has reportedly committed to a five-year, $35 billion cloud computing deal with Lambda, a specialized provider backed by Nvidia, according to sources cited by Reuters. The agreement is notable for bypassing the dominant hyperscalers — Amazon Web Services, Microsoft Azure, and Google Cloud — which are also Anthropic's direct competitors in AI development. The deal is designed to secure Anthropic's long-term access to Nvidia GPUs, the most sought-after hardware resource in the AI industry. For Lambda, the contract marks a major leap from niche player to serious contender in the AI cloud market. The move signals a broader shift in the industry, as leading AI firms grow influential enough to build infrastructure alternatives outside Big Tech's ecosystem.

1Password Supports the Ethnic Cleansing of Europe

Article URL: https://www.alilleybrinker.com/blog/1password-funds-ethnic-cleansing/ Comments URL: https://news.ycombinator.com/item?id=49518916 Points: 3 # Comments: 0

ZCode 3.0 Launches as Agentic Dev Environment Rivaling Claude Code

Zhipu AI released ZCode 3.0 in mid-2026 as an Agentic Development Environment (ADE) built around its GLM-5.3 large language model, targeting end-to-end autonomous software engineering rather than simple code completion. The platform includes a custom agent kernel with four core modules: Goal mode, Subagents, Remote Control, and Idle Task scheduling, enabling it to handle file operations, terminal commands, and Git workflows directly. Internal benchmarks show ZCode achieves a 2.39% higher task pass rate than Claude Code under identical test conditions, along with a 98.10% context-cache hit rate that reduces redundant token usage. A key architectural distinction is the separation between GLM-5.3, which handles reasoning and code synthesis, and ZCode's harness layer, which translates model outputs into concrete engineering actions. The tool is positioned as a domestic alternative to products like GitHub Copilot and Codex CLI, with a commercial pricing model aimed at professional development teams.

How WebAssembly's sandbox model enables structural privacy in browser-based file tools

A developer team built over 90 browser-based file processing tools using WebAssembly's sandboxed execution model to prevent user files from ever leaving their device. Unlike popular PDF and image tools from services such as iLovePDF, Smallpdf, and Adobe Acrobat Online, which upload files to remote servers before deleting them, this approach makes server uploads architecturally impossible. WebAssembly modules cannot initiate network connections on their own, meaning file data processed inside a Wasm sandbox has no pathway to reach an external server. The pipeline reads files into browser memory, passes them to the Wasm module for processing, and triggers a local download — all without a network request. Open-source libraries including pdf-lib, PDF.js, Tesseract.js, and heic2any power operations such as PDF merging, OCR, and HEIC image conversion entirely within the browser.

As AI Builds Faster, Developers Wrestle With What's Worth Building at All

A developer reflects on how AI tools have made building interfaces and features dramatically faster, but argues this speed comes with a hidden cost: less deliberate thinking about purpose and user need. With AI generating working screens in seconds, teams often skip the foundational questions of who a feature serves and why it exists. The author warns that starting from a finished AI-generated screen can make it feel like the answer, short-circuiting the critical back-and-forth that good product design requires. Drawing on the early app-development debate over hamburger-button placement, the piece frames that obsessive attention to small details as a valuable instinct worth preserving. The author concludes that while AI now outpaces humans at building, the human edge lies in deciding what not to build and rigorously questioning what AI produces.

Ace investor Dhawan picks 35 lakh shares in this co

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Developer Builds Python GUI Tool to Convert Stereo Audio into Dolby Digital 5.1

A developer has released an open-source desktop application that upmixes standard two-channel stereo audio files into six-channel AC-3 Dolby Digital 5.1 surround sound. The tool, built using Python, CustomTkinter, and FFmpeg, lets users adjust surround parameters such as center mix level, rear delay, and LFE subwoofer cutoff via slider controls. It also includes one-click presets for cinema, music, and voice use cases, along with batch folder conversion and a live FFmpeg progress monitor. The application derives surround channels mathematically from stereo phase differences, routing left-minus-right signals to rear speakers to simulate spatial depth. The source code is publicly available on GitHub, and the developer documented key technical challenges including thread-safe UI updates and a Python closure variable-binding bug.

Ex-Gang Boss Convicted for Orchestrating 1996 Murder of Tupac Shakur

Duane 'Keffe D' Davis has been found guilty of orchestrating the 1996 drive-by shooting that killed rap superstar Tupac Shakur. The conviction comes nearly 30 years after one of the most high-profile murders in music history. Davis, a former gang leader, was long considered a key figure in the case. The verdict marks a significant breakthrough in a decades-long investigation into Shakur's death.

Indian among 12 killed after Russia launches massive strike on Ukraine

Indian among 12 killed after Russia launches massive strike on Ukraine

Developer builds Windows-based digital signage app to replace costly dedicated hardware

A developer has created WALTRONE Signage Suite, a Windows application that turns an ordinary PC or laptop into a digital signage player when connected to a TV or monitor. The project was driven by the idea that small businesses could leverage existing Windows hardware instead of investing in expensive dedicated signage devices. The software supports two modes: a standalone version for single-screen setups and a network version that enables centralized management of multiple displays. Much of the development effort focused not on adding features, but on making the application intuitive enough for non-technical users to set up and operate without networking knowledge. The developer has now made the project public and is seeking feedback from other developers on balancing functionality with usability in software built for general audiences.

CollectWise, a YC F24 startup, is hiring a Founding Customer Success Engineer

CollectWise, a startup from Y Combinator's Fall 2024 batch, has posted an open position for a Founding Customer Success Engineer. The job listing was shared on Hacker News, though it attracted no points or comments at the time of posting. The role represents an early-stage hire at the company, suggesting CollectWise is in its initial growth phase. Further details about responsibilities and requirements are available through the Y Combinator jobs board.

Google Cloud IAP Offers a Low-Cost Way to Lock Down Staging Environments

Staging environments are often publicly accessible by default, creating security risks such as search engine indexing or unauthorized access by former employees. Google Cloud's Identity-Aware Proxy (IAP) addresses this by adding an authentication check at the load balancer level, requiring a verified Google identity before any request reaches the backend. Setting it up involves enabling the IAP toggle on a backend service and granting access to specific users or groups via IAM roles. The solution works seamlessly for browser-based clients, which are redirected through a Google sign-in flow and issued a session cookie. However, non-browser clients such as mobile apps, CI pipelines, or scripts require a different approach, using bearer tokens or service-account credentials instead of the standard OAuth redirect.

60-Minute Playbook to Diagnose an Ecommerce Conversion Rate Drop

A structured diagnostic framework outlines how ecommerce teams should respond when order volumes fall unexpectedly. The first step is validating the decline using at least two independent data sources, such as OMS records, payment provider logs, and analytics events, before drawing conclusions. Teams are advised to work through the funnel in sequence — from data quality and demand to checkout, payment, and fulfilment — identifying the earliest broken transition rather than making broad system changes. Segmenting the problem by device, region, channel, and payment method helps isolate actionable causes, such as a browser-specific issue introduced after a recent release. The playbook cautions against common mistakes like trusting a single analytics platform, changing multiple systems simultaneously, or declaring recovery after just one successful test.

School cab driver assaults girl in outer Delhi

Developer Uses DeepSeek V4 With OpenCode as Daily Coding Setup at Fraction of Cost

A developer has been using DeepSeek V4 models — V4-Flash (released July 31) and V4-Pro (released August 13) — as a default coding setup through the model-agnostic OpenCode terminal, replacing tools like Claude and GPT for most daily tasks. Both models are open-weight, MIT-licensed mixture-of-experts systems offering a 1 million token context window, with API pricing as low as $0.14 per million input tokens for Flash, compared to $25 per million output tokens for Claude Opus. The developer used DeepSeek exclusively to build a full Astro website template called Studio Pulse, treating it as a real-world capability test rather than a controlled experiment. V4-Flash ranked 69th out of nearly 200 models on the Artificial Analysis coding benchmark with a score of 69.1, which the developer described as competitive on its own merits rather than merely impressive for the price. Prompt caching further reduces input costs by up to 88%, and switching between the two models within OpenCode requires only a single command with no restart needed.

Pandas Pipeline Converts AI Eval Logs Into Google Sheets-Ready CSV for Stakeholders

A developer tutorial series on designing and visualizing AI evaluations has reached its third installment, focusing on making evaluation data accessible to non-technical stakeholders. The guide demonstrates how to use a pandas script called tocsv.py to parse Inspect AI evaluation logs and export them as a structured CSV file optimized for Google Sheets. The pipeline covers 32 model-skill-sample combinations and extracts key metrics alongside two pre-computed boolean columns: one flagging cleanly completed runs and another distinguishing baseline from skill-activated evaluation cohorts. These boolean flags allow product managers, business leads, and executives to filter and analyze data without needing access to raw evaluation files. The approach bridges the gap between engineering-level AI assessment and boardroom-ready visual reporting using familiar spreadsheet tools.

Why Composition Over Configuration Keeps Proving Itself in React UI Design

A software developer writing for DEV Community describes repeatedly rediscovering a core design principle while building settings interfaces in React. The pattern begins with a single modal component that switches behavior based on a string or union discriminator, which initially appears clean and reusable. As new sections are added, however, every change requires touching multiple parts of the same component, revealing tight coupling disguised as reuse. The developer resolved this by replacing the monolithic modal with self-contained components per section — ProfileSettings, BillingSettings, and so on — each owning its own logic and UI. The key takeaway is that a composition-based tree can be rearranged from outside without modifying individual pieces, whereas a config-driven component is limited to what its original author anticipated.