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During our recent AI Skills Bootcamp, one learner, Jade, who works in architecture, was excitedly accepted onto her Masters in Architectural Design. As she progressed through the course, OpenAI released a major upgrade to ChatGPT’s Image Generator - a new model replacing DALL·E and trained by professional artists to deliver highly refined image outputs. Curious about its practical capabilities, I invited Jade to test the tool on her hand-drawn architectural sketches.

Introduction: Apple’s Bold UI Shift at WWDC 2025 According to multiple sources, Apple is gearing up for a major user interface redesign across all its operating systems, codenamed “Solarium”, set to debut at WWDC 2025. This overhaul is the most significant visual update since the 2013 launch of iOS 7, aiming to unify the look and feel of iOS, macOS, iPadOS, tvOS, watchOS, and visionOS under a single, modern design language inspired by Apple’s spatial computing platform.

Introduction Today the United Arab Emirates made a striking announcement: every citizen and resident will get free access to ChatGPT Plus, OpenAI’s premium AI chatbot. This isn’t a trial or a limited offer - it’s a full rollout, part of the UAE’s ambitious Stargate project aimed at building the world’s largest AI supercomputing cluster. It’s a bold step in a fast-moving AI race, and it’s already shaking up conversations about how AI should be accessible globally.

TLDR Microsoft’s latest Work Trend Index paints a tough picture: 80% of us say we don’t have the time or energy to do our jobs well, we’re hit by 275 interruptions a day, yet 53% of leaders still expect higher productivity. Google responds with a bold claim that 98% of companies have embraced AI—but also admits 70% are tangled in messy data. Meanwhile, ChatGPT’s weekly active users have soared past 800 million, GPT-4o is redefining multimodal rules, and tools like Copilot, Gemini, Claude, and Grok keep leapfrogging each other almost weekly.

Google I/O 2025 was packed with AI-focused updates that show just how far Google is leaning into integrating generative tools across its ecosystem. From search and voice to video calls, shopping, and visual understanding, AI now underpins just about everything Google is doing for consumers. Here’s a rundown of the most notable updates and what they mean in practice. AI Mode for Search: The Google Search You Can Talk To Google’s “AI Mode” is now rolling out properly after a few months of public testing.

The world of AI is evolving fast. One moment, we were amazed that ChatGPT could write our emails. Now, we’re entering a new phase: AI agents that don’t just chat, but think, plan, and act. If you’ve heard whispers of this “AI agent revolution” and you’re wondering what it really means, you’re in the right place. This post breaks it down for everyone - no jargon, no hype. Just clear, honest insights into what AI agents are, why they’re such a big deal, and what we should all be doing next.

Introduction: A Year of AI Acceleration (and a Growing Digital Debt) There’s no denying it: AI adoption isn’t just on the rise, it’s everywhere. If 2024 was the year when “AI at work” arrived, 2025 is shaping up as the year when companies are racing to keep up, desperate to plug their digital debt and harness AI as a true force multiplier. The numbers are hard to ignore: 98% of organisations are now actively developing, experimenting with, or using generative AI in some way.

Introduction Runway just flipped the switch on Gen-4 References for every paid plan, and honestly, it’s the most practical leap I’ve seen from them since Gen-3’s motion upgrades. If you’ve ever stitched AI shots together only to watch your protagonist’s haircut morph scene-to-scene, this update will feel downright magical—consistency, finally, without hacky work-arounds. Why References Change the Game AI-generated video has always struggled with continuity. Even the slickest models nail a gorgeous one-off frame, though the moment you ask for a second angle the spell breaks.

In case you missed it, Perplexity AI has just made a major move - they’ve launched directly inside WhatsApp. Yep, no new app, no new login, no extra steps. Just pure AI-powered knowledge at your fingertips, inside an app you probably already use every day. What’s Perplexity? - If you’re asking that, you might’ve been living under a rock! I swapped out Google for Perplexity a while ago, and honestly, I haven’t looked back.

Just a couple of months ago, I reported that ChatGPT had crossed 100 million new weekly users between December and February. That was already staggering — more than the entire population of the UK jumping online with AI in a matter of weeks. But while I was off-grid on a family adventure along the West Coast of America (which I highly recommend, by the way), ChatGPT pulled off something even wilder.

The ChatGPT + Shopify Link-Up: Why It Matters Let’s not underplay this. OpenAI integrating Shopify’s commerce engine directly into ChatGPT isn’t just a feature update, it’s another whole change to how we can use AI. Until now, AI assistants have largely sat in the “recommendation” layer - suggesting products, surfacing reviews, maybe opening a link. But with Shopify’s checkout URL, pricing fields, and shipping logic detected in the backend, ChatGPT isn’t just pointing to stores anymore - it is the store.

Hiring a headline‑grabbing “AI rock‑star” sounds thrilling, though unless you can stomach a Silicon‑Valley salary and know precisely what you need, it usually ends in an empty swivel‑chair and a blown budget. A smarter play? Build an internal AI‑apprenticeship pipeline that turns your already‑curious staff into bona‑fide automation heroes. What Exactly Is an AI Apprenticeship? Think protected CPD time plus real‑world pressure‑testing. Your own people step into an apprentice role one day a week, coached by an external expert who supplies training, project briefs, and guardrails.

If you’ve been keeping your finger on the pulse of AI developments lately, you’ve probably heard whispers, or rather, shouts - about Manus AI. Launched just this March by the Chinese startup Monica, Manus is an example of something called “agentic AI.” Don’t let the fancy phrase scare you; it simply means that Manus can think, plan, and act independently, completing multiple task, all without needing you to guide every step.

Ellie and I are genuinely buzzing to share that on 29th March 2025, Techosaurus Ltd was honoured with the ‘Best Use of Digital Technology’ award at the Somerset Business Awards! This award recognises our passion and commitment to transforming businesses through innovative digital technologies—especially via our Generative AI Skills Bootcamp. A Memorable Evening With Amazing Guests The awards ceremony, hosted at the beautiful Winter Gardens Pavilion in Weston-super-Mare, was made even more special by celebrating alongside some fantastic people who’ve been pivotal to our journey:

Search Engine Optimisation (SEO) has ruled the digital world for decades, dictating how businesses structure their content to rank higher in search results. But with the rise of AI-driven search engines like Google’s AI Overview, ChatGPT, and Perplexity AI, the game is changing. Language Engine Optimisation (LEO) is the next evolution, shifting focus from keyword-stuffing and backlinks to structured, AI-friendly content that’s easily understood and extracted by AI models. This guide will walk you through what LEO is, how it differs from SEO, and how you can prepare your website today to stay ahead in the AI-powered search landscape.

The era of Google Assistant is coming to an end, and its successor, Gemini, is already making waves. This transition represents more than just a name change—it’s a bold move by Google to redefine what an AI assistant can do. With advanced AI capabilities, deeper personalization, and broader device integration, Gemini is set to revolutionize how we interact with technology. What Is Gemini and Why the Change? Gemini is Google’s next-generation AI assistant, designed to be smarter, more intuitive, and deeply integrated into your digital life.

What Is an LLM and How Is It Trained? Large Language Models (LLMs) are the powerhouses behind modern AI chatbots, search assistants, and automated content generators. They work by predicting the next most likely word in a sequence based on extensive training data. These models are trained on billions of words from books, articles, websites, and other written materials, absorbing grammar, context, and meaning at an unprecedented scale. However, what’s surprising—and honestly a little unsettling—is that we don’t actually know exactly how LLMs work internally.

Sam Altman has shared an extract from a new AI model they’ve trained, and it’s already causing a stir. We don’t know if or when we’ll get access to this model—OpenAI hasn’t given a release date or even guaranteed we’ll see it. However, from the preview Altman posted on X (formerly Twitter), it’s clear the model isn’t just spitting out generic text. It’s dabbling in something quite literary. What’s So Special About This Model?

Google recently announced something they’re calling ‘AI Mode,’ positioned as a significant upgrade to search—but let’s unpack what this really means and why it’s important for everyone. What is Google’s AI Mode? Currently, if you’re signed into Google and perform a search, you’ll often see an “AI Overview” at the top of your results. This summary, created by Google’s Gemini AI, provides a helpful but static response. Your options right now are limited: accept the provided answer, or click through traditional search results.

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