Insights That Matter Today
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You Don’t Have an ML System, You Have an Unmonitored Stochastic Process
Why this matters this week More teams are quietly turning off “successful” machine learning systems than launching new ones. Pattern over the past few months talking with teams: The models “work” in offline evaluation. They look good in the launch deck. Six weeks in, metrics regress, costs explode, or trust erodes. Nobody is quite sure…
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The Unsexy Reality of AI Automation: Where It’s Actually Working (and Failing)
Why this matters this week The AI “agent” hype cycle is colliding with something that actually pays the bills: replacing brittle RPA and manual workflows in real businesses. In the last month alone, I’ve seen: A mid-market logistics firm rip out 40+ UiPath bots and replace them with an LLM-driven workflow system tied to their…
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AI Isn’t “Writing Your Code” — It’s Rewriting Your SDLC
Why this matters this week The shift this year isn’t “AI writes code.” The shift is: AI is now good enough to sit inside your software delivery lifecycle and make decisions that used to be purely human: Which tests to run for this change How to refactor this gnarly file to support a feature Whether…
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Solid-State Batteries Just Crossed from Hype to Planning Assumption
Why this matters this week Solid‑state batteries (SSBs) have lived in the “10 years out” bucket for a decade. In the last 6–12 months, that shifted: Multiple vendors have run pilot automotive cells through near-automotive lines, not just coin cells. Concrete 2027–2030 SOP (start of production) dates are now written into OEM plans, not just…
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Your LLM Stack Is Leaking More Than You Think
Why this matters this week If you’re running LLMs against production data and you don’t have clear answers to: What data is sent to which model, stored where, and for how long? Who can reconstruct prompts, responses, and embeddings? How you’d prove to an auditor that you’re doing what your policy claims? …then you don’t…
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Your Serverless Bill Is Lying to You: The Hidden Cost Centers on AWS
Why this matters this week If you’re running on AWS and using Lambda, Fargate, or EventBridge in production, you’re probably looking at the wrong numbers. What’s changed lately is not a single feature launch, but the emergent behavior of modern AWS stacks: More services per workload (Lambdas, Step Functions, SQS, EventBridge, DynamoDB, Kinesis, API Gateway)….
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