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AI Doesn’t Usually Fail Because of the Model There’s a common misconception in the market right now: If an AI initiative underperforms, the model must be the problem. In practice, that’s rarely true. Most AI initiatives don’t fail because the model was weak. They fail because the system around the model was never designed to […]

    AI Won’t Replace Investors — But It Will Replace How They Think There’s a growing narrative in the market: AI will pick the next winning startups. That’s not how this plays out. AI is not here to replace investor judgment. It’s here to reshape how judgment is formed. And that’s a much bigger

Digital Transformation in Manufacturing Doesn’t Start with AI — It Starts with Friction A lot of manufacturing companies say they want digital transformation. What they usually mean is: “We want better visibility, less waste, faster decisions, and fewer operational blind spots.” AI can absolutely help with that. But in manufacturing, transformation rarely begins with the

From Limitation to Leverage: How AI’s Biggest Weakness Became Its Fastest Evolution Last year in Washington, DC, I gave a talk on something that felt almost counterintuitive at the time: frontier AI models were struggling with problems humans solve effortlessly—specifically, spatial reasoning. Something as simple as determining the orientation of a building on a map

GPT-5 and the New Frontier of AI Systems: What Actually Changed For the last few years, the AI market has largely been framed as a race to build bigger, smarter, more capable models. But the next phase of the industry is not just about scaling parameters or adding benchmark points. It is about building AI

The Foundation Model Arms Race: What Enterprises Need to Know in 2026 The foundation model market is no longer just a technical race — it has become a strategic infrastructure decision for enterprises, investors, and consulting firms trying to understand where long-term value will be created. Over the past two years, organizations have shifted from

The Global Proxy Infrastructure Market: Who Really Powers Web Data Access? As AI systems, web intelligence platforms, and autonomous agents continue to mature, one layer of infrastructure is becoming increasingly important — proxy networks. Most people think of proxies as a niche technical tool. In reality, they are now a foundational part of how modern

    What It Really Takes to Benchmark Frontier AI Why Humanity’s Last Exam Matters — and Why Workflow Contributed AI models are improving so quickly that many of the benchmarks used to evaluate them are no longer enough. Once a model consistently scores highly on a benchmark, that benchmark stops being a useful measure

  As AI infrastructure scales, one of the biggest constraints is no longer just compute — it is cooling. Behind every hyperscale deployment, there is a mechanical and thermal challenge that directly impacts uptime, operating cost, energy efficiency, and long-term scalability. And as large AI data centers push toward higher power densities, the companies that

🧠 Why GPUs Are Used for Inference Parallel matrix computation: GPUs are designed with thousands of lightweight cores to perform matrix ops in parallel, which is ideal for deep learning workloads (Medium). Tensor Cores: Modern GPUs (Volta onward) include specialized tensor cores that accelerate mixed-precision math (e.g. FP8/FP16/TF32), key for transformer inference (Wikipedia). High memory