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IndiaTimes of India ·

PCB Chief Naqvi Defends Sweeping Test Squad Overhaul After England Series Defeat

Pakistan Cricket Board Chairman Mohsin Naqvi has defended major changes to the Test squad and coaching staff following Pakistan's 2-0 series loss to England. Seven players were dropped from the squad while five uncapped players were brought in as part of the reshuffle. Mike Hesson and Ashley Noffke were appointed to new coaching roles amid the transition. Naqvi dismissed criticism from former players and fans, describing the decisions as essential for the team's future. He also pointed to improvements in Pakistan's white-ball cricket as evidence of progress under his leadership.

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ProgrammingDEV Community ·

AI Crawlers Read a Site 10,000 Times But Sent Only 2 Human Visitors

A WordPress site called davaonline.net, running a plugin designed to track AI crawler activity rather than human traffic, recorded 13,306 AI crawler requests over 30 days, of which 10,202 targeted actual content pages. Despite this heavy machine-side activity, conventional analytics showed just two human referrals from AI sources — one from ChatGPT and one from DuckDuckGo. The plugin categorises requests by purpose, distinguishing between training data collection, search indexing, and live user-query fetches, with the latter reaching 1,902 requests — a 3,558% increase over the prior 30-day period. The data illustrates a growing disconnect: AI systems are actively retrieving and using web content to answer user questions in real time, but those answers are delivered without routing the user back to the source page. The findings suggest that standard web analytics, which measure human visits, may increasingly undercount how often a site's content is actually being read and used.

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ProgrammingDEV Community ·

GitHub Trending Sept 2026: Lightweight, Local AI Tools Dominate Developer Charts

GitHub's trending repositories for the week of September 3, 2026, are dominated by AI projects focused on portability, efficiency, and independence from large cloud infrastructure. DeepSeek Harness, a TypeScript-based plugin framework, lets developers build modular AI pipelines on top of DeepSeek models without rigid architectural constraints. Colibri, a zero-dependency pure-C engine, enables frontier Mixture-of-Experts models to run on consumer hardware by streaming only the relevant model segments from disk. Ponytail takes a minimalist approach to AI coding agents, guiding developers to avoid writing unnecessary code rather than generating boilerplate. Grok-Build, released by Elon Musk's xAI, offers a fullscreen, mouse-interactive terminal interface for developers working intensively with Grok models.

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ProgrammingDEV Community ·

How AI Inference Works and Why It Makes LLM Outputs Unpredictable

AI language models generate outputs through a process called inference, where the model predicts the most statistically likely response based on input context rather than truly understanding or reasoning through a request. These probabilities are shaped during training and can be further refined through fine-tuning on narrower datasets. Because outputs are probabilistic and non-deterministic, the same question can yield different answers each time, making errors in agentic workflows common. Excessive or poorly managed context can degrade output quality, and overly rigid rules can inadvertently suppress creativity in open-ended tasks. To improve reliability, the author recommends standardising prompt formats and designing task-specific prompt schemas tailored to different objectives.

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WorldBBC World ·

Genital-theft rumours on social media fuel mob killings across six African nations

A BBC investigation has found that false rumours about genital theft, spreading rapidly on social media, have led to deadly mob violence across six African countries. More than 80 people have been killed as a result of these unfounded accusations. Crowds have targeted individuals based on viral misinformation, with victims often having no means to defend themselves against the sudden mob attacks. The findings highlight the dangerous real-world consequences of unchecked rumour-spreading on digital platforms in the region.

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WorldBBC World ·

Nepal's Deadly Floods Highlight Growing Climate Risks Shared With India

Severe floods have struck Nepal, causing significant loss of life and widespread destruction. The disaster is being viewed as a warning signal for the broader Himalayan region, which India also shares. Climate change is increasingly intensifying weather events across this ecologically sensitive zone. Scientists and analysts warn that rising temperatures are making such flooding more frequent and severe. The shared geography means that extreme weather in Nepal carries direct implications for India's northern and northeastern regions.

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ProgrammingDEV Community ·

Sage Uses Two-Step Cairo Vault System on Starknet to Enable Private Payments

Sage, a payments platform operating on the Starknet blockchain, has implemented a privacy-focused two-step payment system to prevent public transaction records. Standard on-chain payments typically create a permanent, visible ledger of sender, recipient, and amount details. To address this, Sage routes rewards through a Cairo-based vault that enforces strict release conditions before funds are disbursed. The system is designed so that payments never appear in a standard wallet, keeping transaction details obscured from the public blockchain record. The approach is outlined on the platform's website at sagepays.xyz.

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ProgrammingDEV Community ·

Building Production-Grade AI Systems on AWS Goes Far Beyond Calling an LLM API

Modern AI applications require much more than a simple chatbot interface, demanding robust layers including orchestration, memory, guardrails, and observability to function reliably at scale. A production AWS-based AI system typically integrates services such as Amazon Bedrock for model access, OpenSearch or pgvector for retrieval-augmented generation, DynamoDB for agent state, and CloudWatch for monitoring. AI agents add further complexity by planning multi-step actions, calling external tools, and requiring human approval for high-risk decisions. Common production failure points include model timeouts, API rate limits, hallucinations, and stale vector embeddings, each demanding specific mitigation strategies like retries, queuing, and validation guardrails. The article argues that skipping any architectural component — whether security, memory, or observability — can silently degrade system reliability until end users report failures.

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ProgrammingHacker News ·

GPS Signals Across the US Drifted Up to 33 Feet in Unprecedented Event

GPS systems across the United States experienced unusual positional errors of up to 33 feet, according to a report by ScienceAlert. The disturbance is described as unprecedented, with scientists stating they have not previously observed this type of glitch. The event affected GPS accuracy broadly across the country, raising concerns about reliability of location-based systems. Researchers are investigating the cause of the anomaly, though specific details remain under study.

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IndiaNDTV ·

Haryana Police Arrest Two for Using AI to Create Fake Violent Image of Officer

Haryana Police have arrested two individuals for allegedly generating a fabricated violent image involving a police officer. The accused reportedly used an AI chatbot along with a mobile phone to produce the misleading visual content. The image depicted a violent scene featuring the two individuals and the officer. Authorities acted after the doctored content came to their notice, raising concerns about the misuse of AI tools to spread false narratives targeting law enforcement.

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ProgrammingDEV Community ·

How to Use Python and DoWhy to Find True Causes Behind Your Health Habits

A tutorial published on DEV Community demonstrates how to apply causal inference techniques to personal health data using Python's DoWhy library. The guide addresses a common analytical pitfall where correlation is mistaken for causation, using the relationship between caffeine intake and sleep quality as a practical example. It introduces Directed Acyclic Graphs to model confounding variables, such as work stress, which can independently drive both increased coffee consumption and poor sleep. Using a synthetic dataset of 1,000 simulated days, the tutorial walks through DoWhy's four-step workflow — Model, Identify, Estimate, and Refute — to isolate the true effect of caffeine on sleep. The exercise shows that simple correlation overestimates caffeine's negative impact on sleep because it fails to account for the stress confounder.

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ProgrammingDEV Community ·

Developer Loses 48 Hours to Cache Bug That Ignored System Prompts in LLM Wrapper

A developer spent nearly two days troubleshooting apparent nondeterminism in an LLM endpoint, initially blaming model instability and sampling noise. The real culprit was a flawed cache key function in a homemade HTTP wrapper that hashed only the user message, ignoring system prompts, temperature, and other parameters that affect model output. As a result, different requests with distinct system prompts collided on the same cache key, returning mismatched stored responses instead of fresh completions. The bug was especially deceptive because the cached answers were fluent and on-topic, making them hard to identify as wrong at a glance. The core lesson is that a cache key must represent the entire request, not just the user-visible text, to avoid silently serving stale or mismatched responses.

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WorldBBC World ·

Obsessing Over Sleep Tracking Scores May Disrupt Your Rest, Experts Warn

Efforts to optimize sleep quality can sometimes backfire, according to health experts. The pursuit of a perfect sleep score, often driven by wearable devices and apps, may create anxiety that interferes with natural rest. This phenomenon, sometimes called orthosomnia, occurs when people become overly fixated on sleep data rather than listening to their bodies. The stress of monitoring and improving sleep metrics can paradoxically lead to poorer sleep outcomes. Experts suggest that a relaxed, less data-driven approach to sleep may be more beneficial for many individuals.

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ProgrammingDEV Community ·

Three-Character Quality Gate Loophole Taught a Speech Model a Faulty Habit

A developer training a text-to-speech model discovered that a flaw in the corpus quality-filtering logic caused the model to consistently append meaningless sounds at the end of sentences. The corpus pipeline used Whisper to transcribe TTS-generated audio and discarded clips where transcriptions contained more than three inserted characters not found in the original script. Short hallucinations of one or two characters routinely passed this threshold and were included in training data across roughly 200 clips per voice. The model, trained on 12 voices, learned to reproduce this pattern of appending brief extra sounds. The problem went undetected initially because Whisper itself fails to transcribe very short audio artifacts, and only waveform-envelope analysis revealed the defect.

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WorldBBC World ·

Sydney Police Probe Two Possible Mistaken Identity Shootings in 48 Hours

Sydney police are investigating two fatal shootings that occurred on consecutive days, Tuesday and Wednesday. The first victim was a university student who was gunned down on Tuesday, while the second was a man in his 40s killed the following day. Authorities believe both killings may have been cases of mistaken identity. The back-to-back incidents have raised serious concerns about targeted violence in the city.

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