Usamah Sedqi Al-Baik أسامة صدقي البيك

Recently, I came across a reflection by Dr. Ahmed Omar Hawsawi that immediately connected with a series of articles I have been writing about AI, authorship and authenticity. He described a situation that I suspect many of us are beginning to encounter. Someone presents an impressive presentation. It is clear, beautifully structured and professionally designed. Then comes the comment: “Obviously this was made by AI.” And sometimes there is an unspoken second sentence: “Therefore, it is somehow less valuable.” That is where I think our conversation about artificial intelligence has taken a wrong turn. Because increasingly, “This is AI” is being used not as a description of a tool, but as a criticism of the person who used it. We Are Judging the Tool Instead of the Work Imagine that employee presenting the slides. Perhaps AI created the visual layout. Perhaps it reorganized the bullet points. Perhaps it summariz...

Why the most important relationship between artificial intelligence and quantum computing may be cooperation, not competition In my previous article on quantum computing , I argued that the biggest opportunity today is not necessarily to build quantum machines, but to build readiness : understand the technology, identify meaningful use cases, develop talent, prepare security, and learn where quantum may eventually create a genuine business advantage. Looking more closely at the intersection of artificial intelligence and quantum computing makes that conclusion even stronger — but also more nuanced. There is a tempting narrative that quantum computing will eventually supersede AI infrastructure, or that adding quantum processors to machine learning will suddenly produce exponentially more powerful artificial intelligence. I don’t believe either description captures where the technology is heading. The emerging picture is more interesting. AI and quantu...

In January 2025, I published an article titled Generative AI: A Tool, Not a Shameful Shortcut . My argument was straightforward: using generative AI to help articulate an idea should not automatically diminish the value of that idea. Writers have always worked with tools, editors, researchers, dictionaries, search engines, spell-checkers, designers and collaborators. Generative AI was becoming another member of that long list albeit a remarkably powerful one. A year and a half later, that argument is being tested in a way I did not fully anticipate. AI-generated content is beginning to acquire something resembling a digital fingerprint. Anthropic has introduced machine-readable marking for supported Claude-generated content as part of its response to the European Union’s new AI transparency requirements. New supported Claude models can embed an imperceptible watermark in generated text, while supported image and file outputs can carry digitally signed provenance ...

Artificial-intelligence research, policy and investment have all accelerated in the first half of 2025. From the electricity that powers gigantic models to the ethics of synthetic media, the AI conversation now touches energy grids, labour markets, health care and search itself. Below is a concise roundup of the themes dominating headlines this month, with links to the most useful primary reporting. 1 | The power hunger: AI’s soaring energy bill Recent modelling shows that data-centre electricity devoted to large-scale AI could eclipse Bitcoin’s consumption well before the end of 2025, potentially topping 120 TWh a year.( techspot.com , mezha.media ) To stay ahead of demand, Meta has signed a long-term agreement with Constellation for nuclear-generated power to feed its Illinois AI facilities—one of several utility-scale deals now being struck by hyperscalers.( reuters.com , about.fb.com ) Chipmakers are also racing to curb watts per token. Nvidia’s new Blackwell GPU...

In the era of rapid digital transformation, generative AI tools like ChatGPT have emerged as game-changers for content creation. As someone who actively uses such tools to craft insightful articles on emerging technologies and other impactful topics, I’ve encountered both praise for the value of my content and skepticism about the role AI plays in its creation. Through my newsletter, Verbion Pulse , I carefully curate and share ideas that matter, fully embracing AI’s potential. However, the surge in AI-generated content across social media has ignited debates, with some critics arguing that it’s diluting the authenticity of online discourse. Let me make one thing clear: using generative AI to write is not a shortcut to avoid effort; it’s a means to amplify creativity and efficiency. Authors throughout history have relied on editors, researchers, and collaborators to refine and articulate their ideas. Generative AI, in many ways, is just another form of collaboration—one that ha...

#generativeAI The world is on the cusp of a technological revolution, one that has the potential to reshape the very fabric of how we work, communicate, and create. Generative AI, exemplified by systems like ChatGPT, is no longer a distant dream of the future—it's here, it's powerful, and it's changing everything. This emerging technology is being integrated into countless software applications, promising efficiency, automation, and intelligence like never before. But for those who resist change, as we’ve seen with the functional users in the previous article , the stakes have just been raised. For them, this isn't just about discomfort or inconvenience anymore. It’s about survival in a rapidly evolving digital landscape. The New Face of Technology: Generative AI Generative AI, unlike traditional AI, doesn’t just respond to commands or process data—it creates. It generates text, art, music, and even code. It can analyze large amounts of data in...