Could UK military sites come under attack? London gets warning from Russia

NCLT Slashes Subhash Chandra's Debt from Rs 22,006 Crore to Rs 6.5 Crore

The National Company Law Tribunal (NCLT) has approved a resolution plan in the personal insolvency proceedings of media mogul Subhash Chandra, dramatically reducing his outstanding debt. His total liability of Rs 22,006 crore has been cut down to just Rs 6.5 crore following the tribunal's order. This marks a significant development in Chandra's personal insolvency case, which had been ongoing before the NCLT. The ruling provides substantial financial relief to the Essel Group founder, effectively resolving the bulk of his personal debt obligations.

How to Handle Algorithm Output Gaps When Porting Computer Vision to New Frameworks

Porting computer vision algorithms from Python OpenCV to other frameworks often produces output inconsistencies due to differences in algorithmic formulations, numerical precision, and hardware-specific optimizations. These variations are not implementation errors but structural trade-offs between platforms, such as differing default kernel sizes or floating-point rounding behaviors. In parallel deployment environments like cloud and manufacturing systems, such discrepancies can erode user trust, especially where regulatory or performance standards apply. Experts recommend defining 'functional equivalence' based on end-user tolerance thresholds rather than pursuing exact numerical replication. A diagnostic approach — isolating subalgorithms, comparing mathematical formulations, and quantifying intermediate deviations — helps engineers make informed trade-offs during the porting process.

India, China, Canada & more: 10 countries still under Trump’s tariff squeeze and why

AI Writes Fluent But Factually Wrong Docs — Here Is How to Fix That

Large language models tasked with generating technical documentation tend to produce well-structured output that contains fabricated details, such as non-existent parameters or incorrect retry logic, because they pattern-match code to similar libraries rather than reading it precisely. The author argues that wrong documentation is more harmful than no documentation, as it discourages developers from consulting the source code. The proposed fix is to stop asking AI to invent documentation and instead ask it to transform artifacts that already encode ground truth, such as type signatures, passing tests, OpenAPI specs, database migrations, and git history. Constraining the model to these inputs — and instructing it to write 'UNKNOWN' for anything not present — significantly reduces hallucination. The author also recommends scoping documentation updates to individual diffs rather than whole-repository passes, making AI-generated suggestions small enough to review meaningfully.

ChatGPT, Claude or Gemini: A Developer's Practical Guide to Choosing in 2026

Benchmark leaderboards rarely reflect real-world developer needs, making hands-on testing a more reliable way to choose between ChatGPT, Claude, and Gemini. The three models differ notably in how they handle long multi-part instructions, with Claude tending to restate constraints, ChatGPT sometimes dropping later items, and Gemini occasionally compressing requests. Their behavior when they lack knowledge also varies significantly — ChatGPT is often reported to fabricate plausible but incorrect API calls, while Claude hedges more openly and Gemini's accuracy shifts depending on whether search grounding is enabled. Safety refusals present another operational difference, as Gemini can block responses at the API layer in a way that may cause code errors, unlike the text-based refusals from ChatGPT and Claude. Developers are advised to evaluate the specific model-tool combination they plan to deploy, since agents like Claude Code, OpenAI Codex, and Gemini CLI each behave differently in agentic workflows.

Tutorial: Build a Fault-Tolerant Market Data Aggregator in Python with SerpApi

A new developer tutorial on DEV Community walks through building a production-grade Python command-line tool that fetches real-time stock, market index, and cryptocurrency data using SerpApi's Google Finance engine. The guide focuses on connection resilience, a common challenge in automated trading bots and financial scraping systems. Developers are shown how to implement custom exception handling and an exponential backoff retry loop to gracefully manage network timeouts and API failures. The tool reads ticker symbols as command-line arguments and outputs formatted price and movement data for assets like AAPL, GOOGL, and BTC-USD. Authentication is handled securely via environment variables, avoiding hardcoded API keys in source files.

Solo Developer Builds AI Contract Analysis Tool That Scores Clause-Level Risk

A solo developer has launched EasyContract, a web tool that analyzes PDF and DOCX contracts by breaking them down clause by clause. The tool assigns risk scores ranging from low to critical, provides plain-language explanations of legal jargon, and suggests rewrites for risky clauses. Built on a stack of Laravel, PostgreSQL, Vue 3, and AWS infrastructure, the platform also supports shareable reports. Users can try the tool without creating an account at easy-contract.app/try. The developer has shared the project on DEV Community and is actively seeking feedback from other developers.

Folio

Discussion | Link

Developer Overhauls Auth Flow and Tests LLM Code Generation for AI App Eli

A developer working on two projects — Horizon and Eli — spent the day refining Horizon's authentication system, implementing a single-page GraphQL-based login that issues JWTs and handles errors such as wrong passwords, dropped connections, and duplicate submissions with tailored user messages. A debounce mechanism was also added to the frontend to prevent double submissions at the UI level. Separately, the developer experimented with a Rails application that uses OpenAI's GPT-4o-mini to generate Ruby code from plain-English prompts, pairing it with a RuboCop validator and a user-feedback loop for refinement. Early results showed the LLM performs well on simple tasks but struggles with complex logic involving external API interactions. Both efforts feed into Eli, an AI companion app designed around the philosophy of emotional presence rather than mere information delivery.

Hindu Priest in Canada Arrested for Sexual Assault Disguised as Healing Ritual

A Hindu priest based in Canada has been arrested on charges of sexually assaulting a woman. The accused allegedly carried out the assault under the pretense of performing a healing ritual on the victim. Canadian authorities took the individual into custody following the complaint. The case highlights concerns about the misuse of religious authority to exploit vulnerable individuals.

Bitfinex Securities raises $50M to launch tokenized nickel trading product

Bitfinex Securities has raised $50 million as part of an initiative to offer tokenized nickel trading. The company plans to list a new security tied to a Luxembourg-based industrial metals platform. That platform is built around a $1.6 billion stockpile of high-purity nickel wire. The move represents Bitfinex Securities' push to bridge traditional commodity markets with blockchain-based financial instruments.

Google Pixel 2026 Lineup: How to Choose the Right Model for You

Google's 2026 Pixel smartphone lineup offers multiple models catering to different user needs and budgets. A new guide helps consumers compare the available Pixel phones to identify the best fit for their requirements. The comparison covers key features across the range to simplify the decision-making process. Alongside hardware recommendations, the guide also highlights useful accessories compatible with Pixel devices. Additionally, it includes smart software tips to help users get more out of their chosen Pixel phone.

Jeff Bezos’ $100M plan to turn US cities green

PayPal App Crashes on GrapheneOS, Flagged as Rooted Device

Users have reported that the PayPal app now fails to launch on GrapheneOS, a privacy-focused Android operating system. The app crashes with a security exception labeled 'RootDetectionSecurityException,' suggesting PayPal's security policy is incorrectly identifying GrapheneOS as a rooted device. The issue was flagged on Hacker News, where the affected user noted they had enabled PayPal's contactless NFC payment feature. It remains unclear whether the NFC card feature is a contributing factor or if the block applies to all GrapheneOS users. PayPal has not issued any official statement regarding compatibility with GrapheneOS.

Goa FDA shuts 3 govt canteens

Sugam Digital Gujarat gives 1 lakh certificates

Mount Kailash: What to know about the sacred site

Meet Lennox French, student whose VR classroom idea won state approval

Python Trading Assistant Uses Hexagonal Architecture to Prevent LLM Hallucinations

A developer has published a market research assistant built in Python that applies Hexagonal Architecture, also known as Ports and Adapters, to isolate core business logic from external market data APIs and AI inference engines. The system addresses two common failure modes in AI-driven financial pipelines: tight coupling between LLM orchestration and third-party APIs, and hallucinated numerical outputs from raw text generation. Technical indicators such as RSI, MACD, and moving averages are computed deterministically in Python adapters, with pre-validated metrics passed to the language model only for narrative summarization. Data boundaries are enforced using Python's typing.Protocol and immutable Pydantic schemas, enabling strict input and output validation throughout the pipeline. The architecture also supports automatic failover between providers and cost-free unit testing via mock adapters that mirror real API contracts.