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OpenAI has released GPT-5 on August 7, 2025, introducing it as their smartest, fastest, most useful model yet. The gpt 5 release is more than a milestone for OpenAI. We’ve seen plenty of AI upgrades over the last decade, but GPT-5 is different. It’s not just faster and smarter, It combines reasoning depth, multimodal capabilities, and API-level efficiency in a way that makes previously siloed AI tools feel obsolete.

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While desktop browser automation increasingly faces sophisticated detection systems, mobile environments present unique opportunities for data extraction at scale. Shopee’s anti-bot defenses, like those of many modern e-commerce platforms, show inherent trust bias toward mobile user sessions – a legacy of mobile commerce growth and the assumption that mobile users represent genuine consumers rather than automated systems.

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As web-based anti-bot systems become increasingly sophisticated, mobile applications represent the next steps for large-scale data extraction. Shopee’s native mobile application, while sharing the same underlying data sources as its web platform, operates through entirely different security protocols and API endpoints that often prove more accessible to skilled reverse engineers.

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Hiring the right talent is more competitive than ever. As companies grow at lightning speed, the need for efficient, accurate, and data-backed hiring processes has never been greater. That's where AI interview tools come into play. These tools help organizations automate candidate screening, conduct intelligent assessments, and reduce bias in interviews with AI, all while saving time and resources.

But not all AI hiring tools are created equal. Whether you're a startup scaling your team or an enterprise aiming for structured, high-volume recruitment, knowing what to look for in an AI interview tool is key to making the right decision.

In this blog, we'll walk through the most important features you should consider, why they matter, and how a solution like Talentick.ai delivers on them.

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Shopee stands as one of Southeast Asia’s largest e-commerce platforms, but for developers and data scientists, it represents something else entirely: one of the most sophisticated anti-bot defense systems in the e-commerce world. If you’ve attempted to scrape Shopee using traditional methods, you’ve likely encountered frustrating blocks, rate limits, and seemingly impossible barriers.

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A web crawler is an automated program that systematically browses the internet to discover, fetch, and process web content. Now, AI crawlers like GPTBot join traditional search bots such as Googlebot. While Googlebot can render and index JavaScript-rich content, GPTBot skips JavaScript execution entirely, processing only static HTML. This gap means modern web apps that rely on client-side rendering may go unnoticed by AI tools. In this guide, we break down about googlebot, ai crawlers, how each crawler behaves, what it means for JavaScript frameworks, and a lot more. 

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Picture it’s 2 AM, and your phone is buzzing with urgent messages. Your company’s AI system just made a decision that could either save millions or trigger a regulatory nightmare. As you sit up in bed, one terrifying thought crosses your mind: “Do I even know how to evaluate whether this AI system is helping or hurting us?”

Everyone’s talking about artificial general intelligence, gen AI, AI agents, automation… The board is excited. And you’re probably already managing a few AI-powered tools or features across your org.

But here’s what almost no one’s saying out loud: We’ve built the engine. We’re building the rocket. But no one’s talking about the control panel.

That’s what AI governance is. And in 2025, it’s exactly what will separate those who scale AI confidently and those who end up in cleanup mode when something goes wrong.

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Hiring has changed significantly over the past decade. From paper resumes to digital assessments, 2025 marks the rise of AI interview platforms. Companies are now expected to hire faster, screen large applicant pools efficiently, and ensure a fair process, challenges traditional methods often fail to meet.

AI hiring tools solve these issues by automating repetitive tasks, standardizing assessments, and offering real-time insights into candidate skills, communication, and fit. With remote hiring on the rise, businesses need scalable solutions that work across roles and geographies.

By cutting hiring time by up to 70% and boosting quality hires by nearly 50%, AI interview platforms have become a must-have in modern recruitment.

In this blog, we’ve listed the top AI interview platforms in 2025 to help startups and enterprises make better, faster, and more informed hiring decisions.

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Whether you’re launching a new product, offering services, or trying to build authority in your space, your website plays a direct role in how fast (or slow) your business grows. It’s not just about how it looks, it’s about how it performs.

Fast load times, airtight security, mobile responsiveness, and seamless user experience, these are no longer ‘nice to haves’. They’re what Google, and more importantly, your customers, expect. And if your current site falls short, you’re leaving money on the table, plain and simple.

In this guide, I’ll walk you through the technical essentials, and a step-by-step guide to building a results-driven website that performs from day one.

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As we progress through 2025, from early-stage startups to Fortune 500 enterprises, the pressure to deliver digital innovation faster and smarter is intensifying.

Yet, that innovation hinges on one core element: ‘THE RIGHT TALENT’. According to projections from the U.S. Bureau of Labor Statistics, employment in computer and IT occupations is set to grow by 15% between 2022 and 2032, much faster than the average for all occupations. 

In particular, small-to-mid-sized companies and high-growth startups often struggle to compete with the compensation, benefits, and brand appeal of larger players.

Every mis-hire in a team; overhaul can cost weeks of lost velocity, thousands of dollars in sunk costs, and trust erosion across internal teams

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Handling massive amounts of data is a fundamental requirement for today’s most demanding applications, from social media to e-commerce. Among the advanced strategies, database sharding and consistent hashing are two key techniques that enable scalable, reliable data management and drive high-performance distributed systems.

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As we continue to advance the capabilities of natural language processing (NLP) systems, one key challenge remains at the forefront of text retrieval systems: how to efficiently split and embed long documents to retain contextual integrity while still enabling fast and effective retrieval. While transformer models have significantly improved the quality of text embeddings, they still face limitations when it comes to understanding long texts, especially when split into smaller chunks. This often results in the loss of important contextual information, which can degrade the quality of retrieval tasks.

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WordPress continues its tradition of user-centric updates with the rollout of version 6.8 (released on April 15, 2025) and its follow-up maintenance patch, 6.8.1 (released on April 30, 2025). These updates improve the overall user experience while also strengthening performance, security, and accessibility. For developers, and website administrators, these versions offer a suite of new features, bug fixes, and practical updates that refine WordPress functionality and customization.

In this blog, we’ll explore what’s new in WordPress 6.8 and 6.8.1, highlight key changes, and share what you can expect moving forward.

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As the Rails framework continues to evolve with version 8, so too do the considerations for building robust and scalable applications. While Rails offers excellent abstraction over databases, the underlying engine you choose SQLite or PostgreSQL being two prime contenders can significantly impact everything from development speed to production stability. SQLite, the default out-of-the-box, offers ease of setup, perfect for getting started quickly. PostgreSQL, on the other hand, brings enterprise-grade features and scalability crucial for growing applications. Choosing between them isn’t always straightforward.

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Protecting user credentials is one of the top priorities when building secure web applications. Simple methods like Base64 encoding may obscure data, but they aren't encryption and can be easily reversed. To truly safeguard usernames and passwords, stronger mechanisms like SHA-256 hashing and RSA encryption are essential.

In this blog, we'll walk you through implementing a more secure approach—combining RSA's public/private key encryption with SHA-256 hashing. You'll also learn how to upgrade from basic Base64 to this robust model, enabling end-to-end encryption for login flows and ensuring sensitive data stays protected in transit.

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As AI agents grow more sophisticated and interconnected, the infrastructure supporting them must scale in complexity and security. A key innovation addressing this need is the Model Context Protocol (MCP) — a standardized framework from Anthropic that facilitates consistent communication between large language models (LLMs) and external APIs, services, and tools.

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Elixir GenServer is the backbone of building resilient, efficient, and distributed backend systems. Powered by OTP (Open Telecom Platform)—a proven framework originally developed for Erlang—GenServer enables robust state management, process supervision, and distributed system capabilities. This guide explores GenServer use cases with code examples, callbacks, and OTP best practices, equipping you with the knowledge to optimize system performance and reliability in real-world applications.