51 Indias killed in Russian Army, 139 discharged; MEA says talks on with Moscow

'Sun Pharma to lower drug prices for Americans'

NVIDIA MPS on Amazon EC2 Cuts ASR Inference Costs by 75% at Scale

A collaborative effort by AWS, NVIDIA, and Heidi demonstrates how NVIDIA Multi-Process Service (MPS) can reduce automatic speech recognition inference costs by 75% on Amazon EC2. The setup runs on g6e.4xlarge and g7e.4xlarge instances equipped with NVIDIA L40S GPUs, using a three-container architecture built around the NVIDIA Triton Inference Server. Unlike time-slicing or MIG partitioning, MPS allows multiple CUDA clients to share a single GPU context concurrently without requiring application rewrites. The benchmark identifies an optimal operating point where mean latency stays below 650 ms and p99 latency remains under 1,000 ms, balancing throughput gains against acceptable response times. The findings highlight that maximising GPU utilisation through concurrent execution, rather than running a single model instance per GPU, offers a practical cost-efficiency improvement for production-scale speech recognition workloads.

Open-Source Tool Automates Job Search Locally Using AI Coding CLIs

An open-source project called santifer offers a local AI-powered workflow designed to streamline the job search process for developers. The tool integrates with AI coding command-line interfaces such as Claude Code and Codex to scan job portals, evaluate listings, score roles, tailor CVs, and track applications in one pipeline. The project has attracted notable interest, accumulating over 177 GitHub stars in a single day. Because all processing runs locally, sensitive data such as CVs and salary expectations stays on the user's own machine, reducing privacy risks associated with third-party data handling. The tool's effectiveness depends on setup quality, including portal compatibility and model accuracy, but it represents a practical use of AI CLIs for personal job-search automation.

September 2026 Satellite Puzzler

Here’s the August 2026 puzzler. Quick, where is this? And what makes this place interesting or unique?

MBBS, BDS interns in J&K start indefinite strike over ‘low’ stipend

Historic 300-Year-Old Revolutionary War Oak Tree Restored in South Carolina

Arborists in South Carolina are working to restore a centuries-old live oak tree located near the historic Eutaw Springs battlefield. The restoration project involves removing outdated metal supports that had been attached to the tree over time. Modern support systems are being installed and soil conditions are being improved as part of the effort to extend the tree's lifespan. The project is being carried out ahead of the upcoming 250th anniversary of the United States.

Alienware AW2726DM QD-OLED Gaming Monitor Gets First-Ever $30 Price Cut

Dell has discounted the Alienware AW2726DM gaming monitor to $319.99, down from its regular price of $349.99, marking the first time the display has been reduced in price. The 27-inch monitor features a QD-OLED panel with quantum dot technology, delivering deep blacks and vivid colors suited for gaming. It supports a 240Hz refresh rate and AMD FreeSync Premium Plus at a resolution of 2560x1440 via DisplayPort 1.4, though its two HDMI ports are capped at 120Hz. The monitor includes a fully adjustable stand with VESA mount compatibility and comes backed by a three-year warranty that covers burn-in. Despite limited connectivity options — no USB hub or audio output — it is positioned as a budget-friendly option for PC gamers who prioritize contrast and fast response times.

Codename One Adds Unified Java API for HomeKit, Matter, and Google Home

Open-source framework Codename One has introduced a new package, com.codename1.home, via pull request #5554, providing a single Java API to interact with smart home platforms including HomeKit, Matter, and Google Home. The API allows developers to list accessories, read and write traits, monitor changes, run scenes, and commission Matter devices without handling platform-specific identifiers or value conversion rules. It standardises traits such as ON_OFF, BRIGHTNESS, and TARGET_TEMPERATURE while managing backend differences — for example, Matter's 0–254 brightness scale or reversed covering-position logic on certain platforms. The SmartHome.getInstance() method always returns a non-null object, with unsupported platforms returning a NOT_SUPPORTED fallback to avoid confusion between an unconfigured home and one with no devices. Full Google Home accessory graph support is not included in this release, as it requires additional Google Cloud credentials that the framework cannot provision on behalf of developers.

Price hike by electronic, auto cos soon

The hidden pitfalls of per-token LLM billing that developers learn the hard way

A developer running a multi-provider LLM gateway in production has shared hard-won lessons about the complexities of per-token billing across providers like OpenAI, Anthropic, Google, and DeepSeek. Key challenges include inconsistent pricing per request, scattered usage data in streaming responses, and silent client aborts that can result in untracked costs. The author also highlights the importance of checking account balances before a request is made and settling charges only after completion. Currency handling across providers adds another layer of complexity to accurate metering. These insights come from building the billing layer for kral.ai, a managed LibreChat platform designed for enterprise use.

Engineer builds deterministic 4-node AI pipeline to eliminate false positives in security testing

A application security engineer developed an autonomous penetration testing system called Okwute after standard LLM-based tools proved unreliable in production environments. The core problem with conversational AI tools was threefold: context loss between sessions, hallucinated vulnerabilities, and constant need for manual prompting between steps. To solve this, the engineer designed a four-node directed graph pipeline — Mapper, Generator, Executor, and Validator — running on a self-hosted, headless harness that stores all state and findings in structured filesystem artifacts rather than in-memory context. The system uses a three-tier memory architecture separating organisation-wide security baselines, product-family patterns, and per-session scratchpads, allowing knowledge to persist and scale across multiple targets. The goal is to reduce repetitive manual testing work for security engineers who are often responsible for dozens of microservices and APIs simultaneously.

DEV.to Fixes Long-Standing CSS Cache Mismatch Bug in Its Hybrid SPA Architecture

DEV.to, powered by the open-source Forem codebase, has shipped a fix (PR #23789) addressing a persistent CSS caching mismatch that has plagued the platform since its early days. The issue arose from its hybrid setup combining Rails server rendering, Fastly edge caching, and InstantClick-based partial page swaps, where cached article pages could reference outdated stylesheet versions after a new deployment. Previous client-side workarounds were brittle and caused broken layouts, 404 errors on pruned assets, and flashes of unstyled content. The new solution reframes the problem as cache partitioning rather than DOM manipulation, using a 10-character fingerprint derived from combined stylesheet digests and appending it as a query parameter to internal navigation requests. This allows Fastly to naturally serve cache-partitioned responses that match the active stylesheet version, reducing — though not entirely eliminating — the mismatch problem.

Instagram restricts reach of AI profiles that hide their artificial identity

Instagram has introduced new limitations targeting AI-generated profiles that do not disclose their artificial nature. The move comes amid growing user frustration over so-called AI influencers operating on the platform. Accounts that fail to identify themselves as AI-driven will now face reduced reach on the platform. The policy signals Meta's effort to improve transparency around non-human accounts on Instagram.

India’s microdramas could play consolidation script

Anna Hazare Hospitalised in Mumbai ICU With Viral Infection and Dehydration

Veteran activist Anna Hazare has been admitted to the intensive care unit (ICU) of a hospital in Mumbai. He is being treated for a viral infection accompanied by dehydration. Hazare is currently under continuous medical observation. His care is being overseen by Dr. Gautam Bhansali.

How RAG Helps AI Models Answer Questions Beyond Their Training Data

Large language models have broad but frozen knowledge, making them unable to address company-specific or post-training information without extra help. Retrieval-Augmented Generation (RAG) solves this by giving the model a search tool that fetches relevant documents and feeds the results back into its context window. Rather than relying on basic full-text search, RAG converts documents into mathematical vectors called embeddings, which capture meaning so that semantically similar text can be matched even when exact words differ. Because a single document may cover multiple topics, it is split into smaller chunks before embedding, improving search precision and reducing unnecessary context bloat. This article, part of a series on transitioning from software to AI engineering, focuses on the agentic RAG variant where the model itself decides what to search for.

Maruti Suzuki plans Rs 77,500 cr capex over 5 yrs

Volunteer runs 1.5 miles uphill with blood to aid injured North Carolina climber

A climber sustained serious injuries after falling 15 to 20 feet on a difficult route near Shortoff Mountain in North Carolina. Emergency responders were called to the scene at Linville Gorge to assist the victim. A Burke Rescue volunteer carried critical whole blood on foot to reach the injured climber, covering 1.5 miles and ascending 1,000 feet in just 31 minutes. The blood was transported to help stabilise the climber's condition before further medical care could be provided.

Engineering a Browser-Based Step Sequencer: State, Timing, and Edge Cases

A technical deep-dive examines the engineering challenges behind building browser-based step sequencer interfaces, focusing on the data structures and logic rather than the musician's experience. At its core, every step sequencer relies on a two-dimensional boolean array tracking which sounds fire at which steps, alongside tempo, swing, and accent values. A common pitfall is using setInterval for playback timing, which breaks due to browser timer throttling, mid-bar tempo changes, and sample underruns — each requiring specific workarounds like lookahead scheduling. The article also highlights that limiting a sequencer to six to twelve tracks keeps the grid usable on touch devices and prevents interface clutter. These design patterns — fixed-size state arrays, a single source of truth for transport, and accessible grid layouts — apply broadly to any UI built around a discrete timeline.