Rape Convict Gurmeet Ram Rahim Granted 21-Day Parole for 17th Time

Convicted rapist and Dera Sacha Sauda chief Gurmeet Ram Rahim Singh has been granted a 21-day parole by authorities. This marks the 17th time he has been released on parole since his conviction in 2017. During this period, he is permitted to travel to the Dera Sacha Sauda headquarters located in Sirsa. Ram Rahim was convicted of rape and has been serving his sentence in prison. His repeated parole grants have drawn significant public and legal scrutiny over the years.

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Dera Chief Ram Rahim Gets 21-Day Parole, 17th Release Since 2020

Convicted Dera Saccha Sauda chief Gurmeet Ram Rahim Singh has been granted a 21-day parole from prison. He is currently serving a 20-year sentence following rape convictions. This is his seventeenth parole since 2020, highlighting a pattern of frequent temporary releases. Under prison regulations, inmates are permitted up to ten weeks of parole per year. His repeated exits from custody have continued to attract considerable public and media scrutiny.

JD Vance’s ‘Canada is a state’ slip sparks a stir

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Developer builds open-source library after hitting the same validation blind spot four times

A developer building the trainproof ML training tool repeatedly encountered a subtle but critical flaw: validation systems were silently skipping checks and reporting them as passed. In one case, a training run with a flat zero-loss curve cleared all checks because every guard was designed to avoid division by zero, making a run that learned nothing appear successful. A second variant caused unreadable log files to vanish from reports entirely, indistinguishable from files that had genuinely passed. When an infrastructure compliance engineer independently described the same structural problem in a different domain, the developer recognized it as a recurring pattern rather than an isolated bug. This prompted the creation of a dedicated open-source library to formally distinguish between checked, unable-to-check, and out-of-scope evaluation states.

EarthLink Network Builds 18 In-House AI-Driven Products Across Six Business Functions

Japanese tech firm EarthLink Network has developed 18 proprietary software products entirely in-house, grouped across six operational areas: foundation, growth, execution, monitoring, support, and verification. The suite was not designed as a planned product line but evolved organically, with each operational need giving rise to the next tool. Core products include an SSO authentication system, a shared notification platform supporting email, Slack, LINE, and Webhooks, and a secret-distribution service for managing environment credentials across teams. The company's stated goal is to run its entire operation on AI, with human workers focusing on judgment-based tasks while routine work is handled by automated systems. Full product details, screenshots, and localized versions in four languages are maintained on EarthLink Network's official products page at eln.ne.jp/products.

How one developer replaced cron-based rankings with a static SQL sort key

A developer building a 1,000-tile auction board needed tiles ranked by time-decaying "heat" without running any scheduled recomputation jobs. By expressing exponential decay mathematically, they showed that each tile's full payment history can be compressed into just two values: a combined payment score and a timestamp. Taking the logarithm of the heat formula reveals that the time-dependent term is identical across all rows and therefore irrelevant to ordering, leaving a static constant called rank_key that only changes when a payment occurs. Storing rank_key in the database and indexing it means a simple ORDER BY query always returns a correct real-time ranking with no background processing. The post also covers numerical stability pitfalls, choosing appropriate time units to preserve floating-point precision, and concurrency risks when using Cloudflare Durable Objects.

How One Developer Built a Battery-Efficient Geofencing App to Auto-Silence Phones

A developer built Muffle, an Android app that automatically silences a phone based on the user's location, after repeatedly forgetting to manually toggle sound settings in places like mosques and boardrooms. The app uses Google Play Services' GeofencingClient, which offloads location monitoring to the device's hardware, avoiding the battery drain of constant GPS polling. The system detects boundary crossings using a mix of cell towers, Wi-Fi, and GPS, then fires a background trigger even when the app is not actively running. To handle overlapping location zones, the developer implemented a priority-based queue that determines which sound profile should be active at any given time, preventing erratic toggling. A key challenge was the delayed exit trigger, where the system intentionally waits before confirming a user has left a zone to avoid false callbacks caused by signal fluctuations near boundaries.

Thomson Reuters Launches Proprietary Frontier AI Model Backed by Its Data Assets

Thomson Reuters has announced the launch of its own frontier AI model, leveraging its proprietary data assets. The company made the announcement in August 2026 via an official press release. Thomson Reuters positions its world-class data holdings as a key differentiator for the new model. The move signals the company's deeper push into AI-powered products and services for legal, tax, and financial professionals.

Microsoft Foundry IQ Now Supports Audio and Video as Indexed Knowledge Sources

Microsoft has integrated Azure Content Understanding into Foundry IQ standard mode, enabling organizations to extract and index content from audio, video, documents, and images for use in AI agent workflows. The integration, announced at Build 2026 and available from the 2026-05-01-preview API release, addresses a longstanding gap where recorded meetings and calls remained unsearchable despite containing valuable institutional knowledge. Developers have two ingestion paths: a native pipeline mode activated by a single property flag on file-based sources, and an explicit approach where Content Understanding is run independently before indexing the output as text. Microsoft's current documentation emphasizes document understanding over audio and video, so developers are advised to verify media-type support in their specific region and API version before building workflows around it. The explicit path is recommended as a reliable fallback that also makes adopting the native path straightforward once full media support is confirmed.

French tourist dies in Death Valley after getting stranded in extreme heat

A 68-year-old French tourist has died in California's Death Valley National Park after his car became stuck in mud. His body was discovered in the salt flats region of the park. At the time of the incident, temperatures in the area had reached an extreme 116°F (46.6°C). The harsh desert conditions are believed to have contributed directly to his death.

Sam Altman warns handful of tech giants could monopolize AI development

OpenAI CEO Sam Altman has voiced concern that artificial intelligence could end up controlled by a small group of powerful corporations, including Microsoft, Amazon, Google, Meta, and Nvidia. He stressed the importance of society and AI systems developing in tandem rather than one outpacing the other. Altman also acknowledged that his earlier predictions about AI timelines were overly optimistic. He noted that the economy's natural resistance to rapid change can slow down technological adoption, potentially allowing for a more measured transition to AI-driven advancements.

Heavy Rain Hits Delhi-NCR, Schools and Offices Switch to Remote Mode

Delhi-NCR was struck by heavy rainfall on Tuesday, following a significant downpour the previous day. Authorities instructed corporate offices and schools in the region, particularly in Gurgaon, to shift to work-from-home and online learning arrangements. Widespread waterlogging and traffic congestion severely disrupted daily life across the capital. Civic agencies mobilized to clear drainage systems and carry out emergency road repairs. The flooding added to residents' frustrations, as similar conditions had already affected the region just weeks prior.

Trump Discloses $15K–$50K Investment in Musk's SpaceX

Former US President Donald Trump purchased SpaceX shares worth between $15,001 and $50,000, according to a financial disclosure document. The transaction was recorded on June 23, with Trump signing the disclosure on August 12. The document was made available to the public on August 22. The investment draws attention given Trump's political relationship with SpaceX founder Elon Musk.

Brent Crude Holds Above $90 Amid Middle East Tensions and US Iran Sanctions

Brent crude oil prices remained above $90 per barrel as geopolitical tensions in the Middle East intensified. Fresh US sanctions targeting Iran's financial resources prompted investors to reassess risks to regional oil supplies. Concerns were further heightened after an oil tanker sustained damage off the coast of Oman. Analysts noted that economic pressures helped temper fears of a major supply disruption from the Middle East. The developments coincided with US crude oil reserves falling to their lowest level since 1982.

Iran Warns of Military and Economic Retaliation Amid Escalating US Sanctions

Iran has issued strong warnings of retaliation following moves by the Trump administration to expand sanctions against the country. Tehran signaled it is fully prepared to respond, with threats encompassing both potential military action and further cuts to oil exports from the Gulf region. These warnings were made even before any formal US economic measures were officially announced. The escalating rhetoric reflects deepening tensions between Washington and Tehran over economic and geopolitical disputes.

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Developer Builds 'Judgment Loop' Tool to Prevent AI From Confidently Answering the Wrong Question

A developer has released an open-source agent skill called Judgment Loop, designed to address a subtle but critical flaw in AI systems: producing confident, well-structured answers before the actual problem is properly defined. The tool acts as a reasoning guardrail that routes AI responses through five modes — Quick, Decision, Research, Learning, and Review — each tailored to the stakes and uncertainty of a given query. Rather than generating recommendations outright, Judgment Loop prompts the AI to identify what reality needs to change, flag unverified assumptions, and propose the cheapest test to challenge its own conclusions. The skill is intentionally proportional, reserving its full analytical process for high-consequence or uncertain decisions while keeping simpler tasks lightweight. Released under an MIT-0 license, the project includes a runtime file, worked examples, evaluation cases, an OpenAI agent interface, and a Simplified Chinese translation.