Tech Tips

Photographer: Iñaki del Olmo | Source: Unsplash AI companies are destroying books because carefully edited books provide high-quality training material for large language models. In a widely reported case involving Anthropic, the company bought millions of print books, including antique books, removed their bindings, scanned the pages, and discarded the paper copies. The result was a searchable digital library that could be used to improve AI models such as Claude. The important detail is that this story is not simply about "AI burning books." It is about a collision between three ideas: the commercial value of high-quality training data, the legal rules around copying and format shifting, and the cultural value of physical knowledge. A book can be successfully digitized while its original artifact is permanently lost, even when it is a decent print or a durable hardback copy. That distinction matters to authors, publishers, librarians, historians, businesses, creators, and ...

ElevenLabs Guide: Best AI Voice Generator for Text‑to‑Speech, Voice Cloning, Dubbing, and Voice Changer Optimize your content with natural‑sounding AI narration and professional-quality voice output. This practical guide explains how to use ElevenLabs for text‑to‑speech (TTS), Instant Voice Clone, long‑form productions in ElevenLabs Studio, and advanced tools like Voice Changer and AI Dubbing. Key takeaways (TL;DR) ElevenLabs is an AI voice generator for realistic text‑to‑speech, voice cloning, long‑form narration, podcasts, and multilingual dubbing. Fine‑tune delivery with Speed, Stability, Similarity, and Expressiveness controls for human‑like pacing, accuracy, and emotion. ElevenLabs Studio manages scripts, characters, multiple voices, and line‑by‑line edits without re‑generating entire projects. Voice Changer enables simple voice conversion from existing audio; Dubbing translates and re‑voices while preserving emotion and timing. Create downloadable audio and MP3 audio files for vi...

Photographer: Markus Winkler | Source: Unsplash Open source is more than a way to build computer software. It is a set of values centered on freedom, transparency, collaboration, and user control. In a world shaped by artificial intelligence, cloud computing platforms, and large technology companies, these ideas matter more than ever. They help people understand who controls the tools they use, where their data lives, and whether they can change or move their digital work. This guide explains the open source definition in simple terms. It also explores the difference between proprietary software and open-source technology, the concept of digital landownership, and why the open-source philosophy is becoming important for individuals, developers, creators, and small businesses. What is open source? Open source refers to software whose source code is available for people to inspect, use, modify, and share under the terms of a license. The source code is the set of instructions that tells...

Photographer: Mariia Shalabaieva | Source: Unsplash At GTC Taipei 2026, ahead of Computex, NVIDIA unveiled the RTX Spark superchip, a purpose-built Arm-based processor that combines a high-performance CPU and a Blackwell RTX GPU in a single, power-efficient package. The promise is bold: slim, premium Windows laptops (especially modern home laptops and premium business devices computers) that can run frontier-level AI models locally, handle demanding creative workloads, and still deliver high-frame-rate gaming, with battery life that finally feels “ultrabook normal” — a true next-level ai experience. This is not just another graphics refresh. It is NVIDIA’s clearest statement yet that the future of the PC is personal AI agents: systems that do more than answer questions, and instead help you complete real work across your apps (including legacy staples like skype) and your everyday content. If you have been tracking the shift from one-off chatbot prompts to longer-lived AI systems, thi...

On June 2, 2026 , Microsoft used Build 2026 to make one thing very clear: it wants Windows 11 to feel like a “first-class” developer platform — especially if your daily workflow includes Linux commands, containers, and (increasingly) AI assistance. If you’ve ever bounced between PowerShell, WSL, Docker, and a half-dozen setup scripts just to get a laptop into a “ready-to-code” state… this is Microsoft trying to remove that friction. The official announcement is here: Build 2026: Furthering Windows as the trusted platform for development . The big shift: fewer workarounds, more “flow.” For years, Windows development has often meant one of these compromises: You run Windows, but you basically live inside WSL. You run Windows, but your scripts are constantly “if Windows then…” conditional chaos. You avoid Windows entirely for dev work. Build 2026 is Microsoft saying: let’s stop fighting the reality that developers like Linux tooling — and instead make it feel natural on Windows. 1) Co...

Photographer: Mimi Thian | Source: Unsplash ​You’re probably using AI every day …—writing emails, generating content, helping customers, or creating images. It’s a revolution… until it isn’t. One morning, you wake up and your favorite tool (ChatGPT, Claude, whatever) hikes prices, changes how it works, or just stops playing nice. Suddenly, your workflows break, you’re scrambling to rebuild everything, and your business grinds to a halt. Sound familiar? That’s AI vendor lock-in , and it’s sneaking up on small businesses faster than cloud lock-in ever did. I’ve been investigating this exact problem, and the fix is simpler than you think. You don’t need a tech team or a big budget. The secret weapon? An AI gateway —basically a smart middleman that lets you use any AI model without getting stuck with one. Think of it like this: instead of plugging your business directly into one AI company’s wall socket, you plug into a universal adapter. If that socket changes or gets expensive, you just...

Photographer: Annie Spratt | Source: Unsplash The death of the “one-size-fits-all” prompt If you’ve ever started your day in a standard AI chatbot and felt an instant wave of friction, you’re not imagining it. You ask for help writing a client email, and the AI forgets your tone. You jump into a new chat for a different project, and you have to re-explain your audience… again. You reference a strategy PDF you uploaded last week and realize you’re going to re-upload it… again. That constant re-teaching is more than annoying. It’s a tax on your attention. And it’s exactly why we’re seeing a shift away from “transient chat” and toward AI workspaces —persistent environments designed around your projects, your files, and your rules. Two of the best examples right now are Claude Projects (from Anthropic) and Google NotebookLM . They represent a simple but profound idea: Stop treating AI like a vending machine. Start treating it like a workspace—a dedicated brain you can return to. If you’re...