Author: Sneha Bajaj

Quick answer? You give an AI crawler permission the same way you’d give any visitor a key: through a small text file called robots.txt, (and many now say llms.txt) through explicit allow rules in your firewall or CDN, and increasingly through a cryptographic ID check called Web Bot Auth. There’s no single “grant access” button. Permission is a layered decision you make per crawler and per purpose (training, search, or live agent lookups), and starting September 15, 2026, part of that decision gets made for you by default unless you go change it. I remember two years ago when this…

Every time you leave a review, ask a chatbot a question, or scroll a feed a little too long, there’s a decent chance that interaction gets logged, cleaned up, and dropped into a training pipeline somewhere. AI training data pulls more than several millions searches a month now. Lately, people have stopped assuming this happens quietly in the background and started asking what it actually involves. What companies collect, how pipelines process it, where risks sit, and which opt-outs actually matter, that’s what this post covers. One data point worth grounding this in: when UpGuard analyzed privacy notices from 176…

You’ve got an AI model that mostly works but keeps missing the mark: it doesn’t know your company’s product catalog, it answers in the wrong tone, or it just gets things wrong with total confidence. Someone on your team says “we need RAG.” Someone else says “just fine-tune it.” A third person asks if you’ve done enough prompt engineering. They’re not arguing about the same problem. Here’s the short version, then we’ll go deep on each one. None of these compete for the same job. A model can need clearer instructions, fresh facts, and a fixed output format all at…

Google invented the technology that powers most of today’s AI boom. And then watched the people who built it walk out the door. All eight authors of Google’s influential 2017 ‘Attention Is All You Need’ paper have since left the company. But here comes the twist; instead of only trying to hire replacements, Google is now funding those former employees, the Xooglers, who already left. In June 2026, Bloomberg reported that Google is backing a new incubator built specifically for Xooglers, its former employees, with up to $350,000 in cloud and AI credits plus up to $100,000 in funding per…

Most people think that “AI psychosis” is something that happens to vulnerable individuals who use chatbots too much. Box founder Aaron Levie flipped that assumption. He publicly suggested that tech CEOs themselves are uniquely prone to AI psychosis because they’re too far removed from the actual work to understand what AI can and can’t do. This article covers what chatbot psychosis actually means, what the research says about how chatbots amplify delusional thinking, and what needs to change. Key Takeaways What Is AI Psychosis? AI psychosis, or Chatbot psychosis, is a pattern where a person starts living in a delusion…

Picture walking into work and finding your inbox already sorted, the weekly report drafted, routine customer questions answered, and your calendar rearranged. Your job won’t have vanished, but the reality of AI job replacement means many of your daily tasks will be automated. That’s the real story behind the whole “AI will replace jobs by 2030” frenzy. Your entire profession will never disappear overnight. However, specific tasks will get automated, some teams will need fewer people to do the same work, and the expectations for the people who stay will shift. The jobs most at risk are those built on…

Generative AI isn’t just powering chatbots that draft emails or answer quick questions anymore. By 2026, companies are leaning on it for document analysis, image and video creation, writing code, market research, training content, customer support, and automating the grunt work nobody wants to do. I’ve put together a list of generative ai tools by digging into what each one does well, where it fits into a workflow, and what compromises you’ll run into along the way. You’ll find the pros, cons, and industry use cases below, plus a few tips to help you get more out of whichever tool…

Video editing software has gotten a lot easier to use, and a lot more capable, in a short space of time. Free apps now offer professional colour correction and visual effects, and browser-based tools can generate captions and resize videos for social media in a matter of minutes. Honestly, the right pick depends entirely on what you make. A filmmaker wants precise editing controls. A social media creator usually just wants templates, automatic captions, and a fast vertical-video export. For most people, I’d point to DaVinci Resolve as the best overall video editing software. Adobe Premiere is still a strong…