With Microsoft’s new Majorana Quantum Chip in the spotlight, you might be wondering: what is quantum computing and why does it matter to everyone? Let’s break it down with simple language and a relatable analogy.
The Librarian Analogy: Classical vs. Quantum Classical Computers – The Single Librarian
Imagine a librarian searching for a specific book in a huge library, checking one shelf after another. This is how classical computers work: they process information step by step using bits—each one either a 0 or a 1.
With the launch of the iPhone 16e, Apple has officially said goodbye to the old SE models. This new iPhone is a serious upgrade in every way.
What’s New in the iPhone 16e? The iPhone 16e is powered by Apple’s latest A18 chip and comes with a 6.1-inch OLED display featuring Face ID—no more Touch ID. It also introduces Apple Intelligence, a personal AI system that offers contextual suggestions and on-device processing to enhance your everyday experience.
I’ve always been fascinated by how we gather and process information, and Perplexity’s new Deep Research tool is a total game changer. It’s like having your own personal research assistant that goes off and digs up everything you need from across the web—synthesizing and analyzing data faster than any human ever could.
What Is Deep Research? Deep Research isn’t just another search tool. It combines advanced language models with autonomous research capabilities to generate comprehensive reports on any topic you throw at it—in just minutes.
The UK government has taken a decisive step in its AI strategy by rebranding the AI Safety Institute to the AI Security Institute. This change signals a clear shift in focus—from addressing general ethical concerns like bias and freedom of speech to tackling the most pressing security risks posed by artificial intelligence. Alongside the rebrand, a new Criminal Misuse Team has been launched to safeguard citizens from AI-enabled crimes and to bolster national security.
I remember when we were told that Windows 10 was the last and final version of Windows—a comfort blanket that would be updated regularly. Then, not long after, Windows 11 was announced and released. At first, it didn’t seem much different from Windows 10 aside from a few new visual flares and, of course, extra hardware requirements. If your PC or laptop wasn’t up to the latest specs, you couldn’t install it.
The Super Bowl has long been a stage for brands to show off their creativity and deep-pocketed ambitions. This year, two major players in the AI world—OpenAI and Google—took centre stage with very different approaches. Below, I break down their strategies, share my thoughts in dedicated sections, and provide direct YouTube embeds so you can watch the adverts.
OpenAI: Flexing Cash and Celebrating Human Creativity OpenAI made its TV debut with a 60‑second spot that positions its technology alongside humanity’s greatest innovations.
Anyone who has followed my journey recently knows: I have devoted my time and resources to supporting local communities in understanding, adopting, and harnessing Generative AI. I’ve worked through local events with the Yeovil Chambers' Digital Hub; I serve on the board at Digital Somerset; I collaborate with GTIA (formerly CompTIA), Business West, and Innovate UK to support local businesses; I’ve partnered with local MSPs and Yeovil College to provide formalised training; and through the Heart of the South West Growth Hub and Digital Link programme where I am delivering free workshops to the community.
Long story short: OpenAI isn’t sitting on its hands. Shortly after the DeepSeek ruckus shook the industry, they announced the new o3-mini model—a clear statement of power that outperformed DeepSeek’s R1. Then, OpenAI surprised everyone with Deep Research, an AI agent that autonomously gathers, reasons, and synthesizes information from countless sources. And as if that wasn’t enough, SoftBank has now stepped up with talks of a $15–25 billion investment and the launch of SB OpenAI Japan.
Imagine having an AI that goes off and does all the hard work of researching a topic for you—gathering data, cross-referencing multiple sources, and pulling together clear, synthesized answers. OpenAI’s new Deep Research initiative is set to do just that, revolutionizing how we access knowledge.
What Is Deep Research? Deep Research is OpenAI’s latest project designed to accelerate scientific discovery and innovation. But it’s not just for scientists—this tool is built to help anyone who needs reliable, in-depth research without the hassle of spending hours scouring the web.
If you’re looking for a smarter way to search the internet, Perplexity AI is leading the way. Recently, Perplexity Pro has been upgraded with two advanced reasoning models that make searching, researching, and planning information a breeze.
DeepSeek R1: Open-Source Power and Uncensored Processing Integration Date: January 28, 2025
Perplexity Pro kicked off its upgrade by integrating DeepSeek R1—a fully open-source reasoning model hosted on US servers. This move addresses some of the common security and censorship concerns you might face with using DeepSeek directly on its own Chinese hosted website.
Imagine an internet search engine that doesn’t just return a list of links and ads but instead converses with you—finding exactly what you need by pulling together information from across the web. That’s Perplexity, and now you can get the paid for Perplexity Pro edition for free through an exclusive offer.
What Is Perplexity Pro? Perplexity is a next-generation AI-powered search engine that goes beyond traditional keyword searches. Instead of you having to sift through countless ads and irrelevant results, Perplexity gathers and distills information from across the internet for you into clear, conversational answers.
Microsoft’s latest documentation on Microsoft 365 Copilot reveals some critical insights for anyone using SharePoint as a knowledge source for their AI agents. These details clarify how Copilot processes content and highlight important best practices to ensure your data plays nicely with the system.
Key Insights from the Documentation File Count Matters:
5 or Fewer Files:
When you add up to 5 SharePoint files as knowledge sources, Copilot uses the full content of these files in its responses.
Sam Altman’s recent Reddit AMA (ask me anything which happened on 31st January 2025) has stirred conversation across the AI community. In response to news that competitors DeepSeek and Qwen are giving open-source access to their large language models, Altman made it clear: competition is exactly what the industry needs.
A Positive Spin on Open Access Altman’s core message was straightforward. He welcomed DeepSeek and Qwen’s decision to let users download and experiment with their LLMs.
In the rapidly evolving field of artificial intelligence, China’s latest entrant, Qwen AI, is making notable progress. Developed by Alibaba Cloud, Qwen AI demonstrates that generative AI models can be built both affordably and efficiently while offering a range of creative and practical applications.
Advanced Features Qwen AI is more than just a text-based chatbot. It also supports:
Image Generation: Users can generate images by simply providing descriptive prompts within the chat interface.
Here’s something exciting for the weekend: OpenAI has just released its latest reasoning models, o3-mini and o3-mini-high. This is the first time advanced reasoning capabilities are available to free ChatGPT users — an important milestone in making sophisticated AI more accessible. On top of this, unlike o1 that came before it, the new o3-mini reasoning model works alongside “search” to be able to access live results from the internet.
Introduction to o3-mini The o3-mini model is a streamlined version of OpenAI’s o3 reasoning series.
AI startup DeepSeek recently suffered a serious security breach involving a misconfigured ClickHouse database. The database—left accessible via open ports 8123 and 9000 on two subdomains—lacked authentication, exposing over a million lines of sensitive information to the public internet. This incident raises important questions about how emerging AI companies balance rapid growth with the need for robust security measures.
Key Details of the Breach Publicly Accessible Database DeepSeek’s ClickHouse instance allowed anyone with the correct URL to execute arbitrary SQL queries through its HTTP interface.
DeepSeek’s rapid rise in the AI industry has brought both applause for its cost-effective approaches and skepticism regarding its transparency. While its AI assistant soared to the top of app store charts in both the UK and US, questions remain about how accurately DeepSeek represents its training costs, funding sources, and technological achievements. Meanwhile, new announcements—like DeepSeek’s omnimodal Janus-Pro-7B model—demonstrate the company’s ambitions aren’t slowing down.
Cost and Funding Controversies Training Costs Under $6 Million?
DeepSeek, a Chinese startup, has made headlines by releasing an AI assistant that quickly rose to the top of both the UK and US Apple App Store charts. This surge in popularity has placed it above established names like ChatGPT, sparking conversations around innovation, cost-effective AI development, and privacy concerns.
Key Highlights from DeepSeek’s Approach Budget-Friendly Development DeepSeek’s DeepSeek-V3 model was developed for under $6 million, which is far less than many competitors spend.
OpenAI recently stirred the AI community with news that its o3-mini model will soon be accessible to a broader audience. While official details remain somewhat sparse, we have enough context—and a few recent updates—to get a clearer picture of what o3-mini might offer, how it builds on o1, and what to expect from this new addition to the OpenAI ecosystem.
Quick Highlights: New Info as of January 17, 2025 CEO Announcement: Sam Altman confirmed o3-mini is finalised and set for release in the coming weeks.
The Canvas feature in ChatGPT has been turning heads since it first launched, especially among developers who want a quick, interactive way to test and display code. Until recently, though, Canvas was only available on GPT-4o—which not everyone had access to. Now, it’s rolled out to o1, ChatGPT’s more advanced reasoning model, opening the door for a wider group of users to benefit from real-time HTML and React rendering. Let’s break down why this matters and what you can do with it.