The latest in Computing Science education across Scotland and beyond
A bonus, ad-free Thanksgiving episode sharing ten creative, genuinely fun holiday projects that use AI to help kids make stories, coloring books, interactive websites, advent calendars, animal-adoption posters, personalized elf messages, mini-podcasts, animated Santa letters, and even custom family songs. It’s a guide to unlocking kid creativity with today’s newest models while keeping the season grounded in gratitude and imagination.
New research from Anthropic and McKinsey offers the clearest data yet on how AI is changing actual work, showing huge task-level time savings and estimating that more than half of U.S. work hours are now automatable if companies redesign around agents. The episode digs into what’s real, what’s hype, and how these findings reshape the future of jobs. Headlines include OpenAI’s new shopping research feature, Nvidia’s defensive turn, and HP’s AI-framed layoffs.Brought to you by:KPMG – Discover how
Today's episode digs into why Anthropic’s surprise launch of Claude Opus 4.5 is landing like a true step-function moment for coding, agentic workflows, and the emerging paradigm of vibe-based software creation, with new benchmarks, early user tests, and developer reactions all pointing to a shift in how real work gets done; plus a quick look at the latest headlines including the White House’s Genesis Mission and Amazon’s massive new government-focused AI expansion. Brought to you by:KPMG – Disco
This episode argues that the AI bubble conversation has become one of the least helpful frames for understanding what actually matters in AI (at least if you're not an investor). It’s a sentiment-driven market narrative shaped by macro pressure, uncertainty, and impossible long-range predictions—none of which tell operators anything about how to use AI or plan for it. The real signals come from adoption patterns, financing structures, and the shifting economic context around AI infrastructure. P
This episode breaks down the 7 most important things this week revealed about AI: Google’s return as a serious contender, fresh evidence that pre-training still has room to run, how shared infrastructure advantages are starting to compound, why multimodal and multimodal reasoning are only just getting started, why coding remains the most strategic battleground, and what it means that even Nvidia’s blowout earnings can’t fully support current AI market narratives.Brought to you by:KPMG – Discover
Today’s AI Daily Brief breaks down the stunning leap unlocked by Google’s Nano Banana Pro image model, which isn’t just an upgrade but a wholesale expansion of what’s possible with AI image generation. From real text rendering to accurate charts, whiteboard-style compression of dense documents, educational visuals, flowcharts, technical drawings, virtual staging, precise spot-editing, and media-to-media transformations, this episode covers 25 capabilities that genuinely didn’t exist in the previ
OpenAI followed Gemini 3 with a major one-two punch, dropping both GPT-5.1 Pro and the new Codex Max coding model, while NVIDIA’s blockbuster earnings smashed lingering AI bubble talk and reinforced the sense that capability curves are still accelerating across the stack. Today’s episode breaks down what the new models actually do, why compaction matters, how early testers are reacting, how NVIDIA reframed the entire AI market in a single earnings call, and why this entire week may mark an infle
An in-depth look at how Gemini 3 reshapes the AI landscape. The episode breaks down which companies gained momentum, which ones face new pressure, and what the launch signals for the broader market. Topics include the Microsoft–Nvidia–Anthropic mega-deal, Bezos’s return with Project Prometheus, the latest on Grok 4.1, the state of OpenAI, and Google’s full-stack advantage. A clear map of the new frontier after the Gemini 3 release.Brought to you by:KPMG – Discover how AI is transforming possibil
Gemini 3 officially launched, bringing one of the biggest capability jumps since GPT-4. The episode breaks down what the new model actually delivers, why its benchmark dominance matters, how developers are reacting to early tests, and what Google’s new Antigravity IDE signals for the future of coding agents. The discussion covers market implications, the shifting competitive picture among Google, OpenAI, and Anthropic, and the early real-world impressions that go beyond the numbers.Brought to yo
An emerging “AI scientist” called Kosmos is claiming the ability to do six months of research in a single day—reading 1,500 papers, writing tens of thousands of lines of code, and producing validated discoveries across neuroscience, genetics, material science, and Alzheimer’s research. This episode breaks down what Kosmos actually is, how it works, why Sam Altman is paying attention, and what it signals about the coming era of AI-accelerated science. Plus: the latest Gemini 3 hype cycle, Berkshi
A new collaboration between the authors of AI 2027 and AI as Normal Technology lays out 12 areas where two very different visions of the future unexpectedly converge. This episode breaks down their shared conclusions on timelines, benchmarks, safety limits, alignment challenges, economic diffusion, and what strong AGI would actually require. The result is a clearer, more grounded picture of the near-term AI landscape and the policy priorities that matter across both fast-takeoff and slow-diffusi
Today’s episode examines the core debate shaping the AI industry: whether application-layer companies can survive the pace and instability of the model layer. The discussion covers the arguments that apps can’t outrun rapid model shifts, the counter-case for deep vertical products, and what Cursor’s momentum reveals about where durable value might emerge. The episode also includes a fast headlines sweep on agentic cyber-espionage, major infrastructure investments, breakthrough agents, and the la