Why AI Regulation Is a More Interesting Problem Than It Looks
Most AI regulation debate produces more heat than light. The genuinely interesting questions are about what we're actually trying to prevent — and whether law is even the right tool.
My Artificial Intellegence thoughts and nothing else
Most AI regulation debate produces more heat than light. The genuinely interesting questions are about what we're actually trying to prevent — and whether law is even the right tool.
Schools are terrified of AI as a cheating tool. They're missing the more interesting possibility — that AI could be the most transformative educational technology since the textbook.
Ransomware has become a mature industry with supply chains, customer service, and affiliate programmes. AI is making it even more efficient.
Social media already hijacked our attention. AI-powered content generation is about to flood the internet with more content than any human could ever consume.
Who owns what an AI creates? The legal system hasn't caught up, the industry is hoping it won't have to answer, and creators are caught in the middle.
Self-driving cars were supposed to be here by now. Why aren't they — and what does that tell us about AI timelines more generally?
Synthetic data is being positioned as the solution to the data wall problem. It's a genuine tool — but the limitations are bigger than the hype suggests.
Open source AI models have democratised access to powerful technology. They've also created some serious problems that the community is only beginning to grapple with.
The scam economy has always been an early adopter of technology. AI is giving fraudsters capabilities that are genuinely difficult to defend against.
AI is changing what junior developers do. It isn't eliminating the need for them — and the companies acting like it is are making a mistake that will compound over…
AI-assisted coding has made building software accessible to people who couldn't write a line before. It's also shipped a lot of vulnerable code. Both things are true.
LinkedIn has always had a signal-to-noise problem. AI-generated content is making it significantly worse — and the platform is struggling to respond.
AI is changing what managed service providers do, how they price it, and whether clients actually need them in the same way. Here's how to have the honest conversation.
Most AI startups that fail don't fail because their model was bad. They fail for the same reasons all startups fail — and AI makes those reasons easier to ignore.
The NHS has more to gain from AI than almost any institution in the UK. So why is adoption so painfully slow?
The hot takes claiming prompt engineering is obsolete are wrong. What's changed is that good prompting is now invisible — baked into systems, not typed by hand.
The UK government talks a good game on AI leadership. The reality on the ground is more complicated — and more concerning.
Most organisations wrote their AI policy in 2023 or 2024. The technology has moved so fast that those policies are now dangerously inadequate.
While everyone obsesses over the latest frontier model, smaller, faster, cheaper models are quietly winning where it actually counts.
Deepfake detection tools are losing the arms race. Here's where we actually stand — and what that means for trust online.
The energy and water consumption of AI is no longer a footnote — it's a front-page problem. And the industry has no credible answer yet.
Agentic AI doesn't just answer questions — it takes actions. That's a fundamentally different problem, and most organisations haven't caught up.
Everyone's obsessed with what AI can do. I'm more interested in what it can't — and why those gaps are where your value lives.
Everyone’s obsessed with what AI can do. I’m more interested in what it can’t. Five things AI still genuinely struggles with in 2026 — and why understanding the gaps is…
We built AI that reflects us perfectly. But identity is forged in friction — and AI doesn’t do friction. A personal reflection on the quieter, stranger cost of the intelligence…
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As we stand in the early months of 2026, the global conversation has shifted from “What can AI do?” to “What is AI costing us?” For companies built on the…
October saw a high for Meta and Lionsgate, who signed a landmark deal to train video models on cinematic archives legally. This was the first major peace treaty between Big…
NVIDIA launched Blackwell 2 in November, an engineering high that promised 10x the efficiency of the previous year. However, the market hit a “low” as rumors of an AI bubble…
The year ended with OpenAI teasing a model they claimed showed “glimmers of AGI,” a massive hype high. But 2025 finished on a sobering low: a global consensus that AI-driven…
January saw OpenAI launch “Operator,” a major high for the company. This marked the shift from AI that just talks to AI that takes action across apps. The low point,…
OpenAI’s Sora video generator finally exited its restricted beta, marking a creative high. However, the month was marred by a “low” in the supply chain. NVIDIA faced extreme scrutiny as…
Anthropic stole the spotlight in March with the release of Claude 4, setting a new high for reasoning and coding benchmarks. The company’s focus on “Constitutional AI” helped it win…
Meta disrupted the ecosystem in April with the release of Llama 4. It was an incredible high for the open-source community, as the model reached parity with GPT-4o for free.…
Google I/O 2025 was a massive high, with the unveiling of the first fully integrated AI operating system. The “Gemini OS” concept promised a world without standalone apps. However, NVIDIA…
June marked the full enforcement of the EU AI Act, a bureaucratic low for many US-based AI labs who had to pull services from Europe temporarily. On the high side,…
July was defined by energy. In a historic high, Microsoft and OpenAI announced a multi-billion dollar investment in modular nuclear reactors to power their next-gen data centers. The low point…
Apple Intelligence reached its final form in August with the iPhone 17 preview, marking a high for consumer adoption. By processing almost all AI tasks locally, Apple bypassed the privacy…
OpenAI released “Strawberry 2” (o1-successor) in September, a massive high for scientific research. The model successfully solved several unsolved chemistry problems. However, the month hit a low for the workforce…
January 2026 saw explosive growth in AI, with new model releases from China challenging US dominance, massive investments, and practical deployments across industries. Global spending forecasts hit $2.52 trillion for…
In today’s rapidly evolving digital landscape, chatbots have emerged as a versatile tool, revolutionizing the way businesses interact with their customers. These AI-powered virtual assistants are changing the dynamics of…
A Comprehensive Analysis of Various AI Tools: Exploring Their Positives and Negatives Introduction Artificial Intelligence (AI) has emerged as a transformative technology that is revolutionizing various industries, from healthcare to…
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The question of whether artificial intelligence (AI) will ultimately lead to the destruction of humanity is a topic of much debate and concern among experts in the field. While some…
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A Security Information and Event Management (SIEM) system is an essential tool for organizations to protect their networks and data from cyber threats. SIEM systems provide real-time visibility into security-related…
When it comes to browsing the internet, privacy and security are of the utmost importance. One way to protect yourself online is by using a proxy. In this post, we’ll…
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Scammers are always looking for new ways to trick people into giving them money or personal information. To protect yourself from scammers, it’s important to be aware of their tactics…
As more and more people are working remotely, it’s important to take steps to ensure that you are working safely online. Here are some tips to help you stay safe…
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