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@kala shared a link, 1 month ago
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The L in "LLM" Stands for Lying

The author arguesLLMschurn out fast, generic answers by remixing low-quality source material. They seed brittle, repetitive code viavibe-coding. The remedy: requiresource attributionand auditable inference to separate originals from forgeries and to reshape model training and deployment. Requiringso.. read more  

The L in "LLM" Stands for Lying
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@kala shared a link, 1 month ago
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Reasoning models struggle to control their chains of thought, and that’s good

OpenAI's paper unveilsCoT-Control: an open-source suite of 13,000+ tasks fromGPQA, MMLU-Pro, HLE, BFCLthat measuresCoTcontrollability. Evaluations on 13 models show compliance at 0.1%-15.4%. Compliance is tiny. Controllability improves with model size. It drops as reasoning chains lengthen and after.. read more  

Reasoning models struggle to control their chains of thought, and that’s good
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@kala shared a link, 1 month ago
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LLMs are getting better at unmasking people online

Researchers at ETH Zurich show LLMs can stitch anonymous bios to public web data and reidentify users across platforms. Fine-tuned models and agent chains parse unstructured text and automate deanonymization in minutes at penny-level inference costs... read more  

LLMs are getting better at unmasking people online
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@kala shared a link, 1 month ago
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The reason big tech is giving away AI agent frameworks

A catalog of majoragent frameworks: LangGraph, CrewAI, Google ADK, AWS Strands, Microsoft Agent Framework, OpenAI Agents SDK, Mastra, Pydantic AI, Agno. Hyperscalers co-design free SDKs (e.g.,Strands,ADK). They tie those SDKs to metered runtimes -Bedrock,Vertex AI. Revenue shifts to inference and de.. read more  

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@devopslinks shared a link, 1 month ago
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AWS Cost Optimization Best Practices: A Maturity-Based Guide [2026]

The guide maps a five-stagematurity model— fromVisibilitytoFinOps Culture. It prescribes staged actions before commitment purchases. It recommends turning onCost ExplorerandAWS Budgets, enforcingtag policies, runningCompute Optimizer, testingGraviton, and usingCloudBurn/Amazon Qfor pre-deploy estima.. read more  

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@devopslinks shared a link, 1 month ago
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Why Serverless Compute Partners Are Now More Important Than Ever

The note saysAIworkloads are bursty. They spawn parallel tool calls, pull multi‑GB model weights into RAM, and endure long cold starts (e.g.,vLLM,SGLang). Companies wrestle with a fragmentedGPUmarket and poor peakGPU utilization. To hit latency, compliance, and cost targets they adoptmulti‑region/mu.. read more  

Why Serverless Compute Partners Are Now More Important Than Ever
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@devopslinks shared a link, 1 month ago
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Amazon is back up after outage affecting tens of thousands of shoppers

Amazon faced an outage, affecting tens of thousands of shoppers globally on Thursday afternoon. Downdetector reported a surge in complaints, peaking at 20,000 by 3:49 p.m. ET. The outage involved checkout and pricing errors caused by a software code deployment... read more  

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@devopslinks shared a link, 1 month ago
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How I Dropped Our Production Database and Now Pay 10% More for AWS

Planned migration shifts the static site fromGitHub PagestoAWS S3. DNS moves toAWS.Djangostages on a subdomain before the main domain swaps. ATerraformauto-approve ran with no remote state. It destroyed productionRDS,VPC,ECS, and automated snapshots.AWSfound a hidden snapshot and recovered the DB in.. read more  

How I Dropped Our Production Database and Now Pay 10% More for AWS
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@devopslinks shared a link, 1 month ago
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Draw.io MCP for Diagram Generation: Why It’s Worth Using

Draw.io MCPlinks theModel Context Protocoltodraw.io. It ingests structured input (text,CSV,Mermaid) and emitsdraw.io XML, PNG/SVG, or hosted links. Draw.io MCPruns as anMCP Tool Server, CLI, or Copilot skill. It drafts small graphs (<50 nodes) in seconds and stores diagrams inGitfor diffs andCI/CDau.. read more  

Draw.io MCP for Diagram Generation: Why It’s Worth Using
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@shubham321 shared a post, 1 month ago
Software engineer, Keploy

What Is QA Automation? Benefits, Tools, Challenges & Future

QA automation is a modern software testing approach that uses automated tools and frameworks to execute test cases efficiently and consistently. Instead of relying solely on manual testing, QA automation enables teams to validate application functionality, performance, and reliability at every stage of the development lifecycle. It plays a crucial role in Agile and DevOps environments, where frequent code changes and faster release cycles demand continuous testing.

One of the biggest advantages of QA automation is speed. Automated tests can run in minutes, allowing teams to detect defects early and provide quick feedback to developers. This leads to improved software quality and reduced risk of critical issues reaching production. Automation also enhances accuracy by eliminating human errors that commonly occur in repetitive manual testing tasks.

qa automation
eSiteWorld – Global Leaders in On-Demand App Development

Founded in 2005, eSiteWorld is a top on-demand app development company expert in ready-made and custom white-label solutions for start-ups, entrepreneurs, and enterprise-level businesses globally. eSiteWorld has a dedicated team of 60+ skilled professionals, we have successfully developed more than 1,520 e-Hailing apps,  this equals two e-Hailing apps launched every single day, along with having 99% of our clients repeat their business.

At eSiteWorld, we allow businesses to build scalable digital platforms such as Uber-like taxi applications, multi-functional super apps that offer multiple services and delivery services that are fully compatible with both ios and android. Our platforms combine cutting-edge technology, modern User Interface and User Experience (UI/UX), robust back-end and cloud-based architecture and 100+ advanced features to ensure outstanding performance and the best possible user experience.

eSiteWorld does more than just develop apps; we will help you build a complete digital business ecosystem. Our solutions support all types of business models including ride-hailing, food delivery, home services and logistics with either full-service customisation (if desired), secure payment gateway functionality, third-party integrations and dedicated technical support as well.

We have an excellent global presence having provided more than 1,520 innovative app solutions in more than 30 countries. Our app solutions have allowed our clients to develop a strong digital footprint, shorten time to market, reduce costs and maximise revenue potential.

Our Expertise Includes:

Taxi Booking App Development (Uber-Like Apps)
Multi-Service App Development (Super Apps)
On-Demand Delivery App Solutions (Food, Grocery, Parcel & Logistics)
White-Label App Development with Full Customization
Payment Gateway & API Integrations

Our Vision:

To enable businesses worldwide with future-ready, scalable, and feature-rich app solutions that drive innovation, efficiency, and sustainable growth.

Empowering entrepreneurs. Building seamless apps. Driving your business forward.