Insights That Matter Today
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Your ML Model Is Not a Rock: A Pragmatic Guide to Evaluation, Drift, and Cost in Production
Why this matters this week If you own a production ML system, you’re likely facing at least one of these right now: Latency or cloud bills creeping up as traffic grows. Silent model quality regressions because labels arrive late—or never. A “quick” model refresh that broke downstream metrics. Feature pipelines that are now more complex…
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Stop Calling It an “Agent” If It’s Just a Script with LLM Glue
Why this matters this week The “AI agent” pitch has shifted from slides to purchase orders. In the last 60 days, I’ve seen: A B2B SaaS company ship an LLM-based ticket triage copilot that quietly replaced 40% of their manual routing and tagging (with better SLA adherence than their old rules engine). A logistics firm…
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Testing Is The Real Battleground For AI-Assisted Engineering
Why this matters this week Most teams that “adopted AI for coding” in the last 12 months are quietly converging on the same conclusion: Code generation is not the bottleneck. Reliable change management is. The story is no longer “AI can write functions” — it’s: Can you safely ship 5–10× more code changes without exploding…
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Solid-State Batteries Are Getting Real, But Not for Your 2026 EV
Why this matters this week Solid-state batteries just moved a notch from slideware toward production: Multiple OEMs and cell makers have announced pilot-scale solid-state production lines starting up in 2024–2025. At least two vendors have now shipped thousands of solid-state prototype cells into OEM qualification pipelines, demonstrating repeatability at tens-of-MWh annualized scale. Some EV makers…
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Your LLM Stack Is Probably Non‑Compliant by Default
Why this matters this week Most teams just discovered that their “quick LLM pilot” now touches: Production customer data Regulated logs (PII, PHI, financial records) Vendor models that self-update without notice Ad-hoc prompts that embed internal policies and secrets In parallel: Internal audit is asking, “What does this system actually store and where?” Security is…
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Stop Bleeding Money on “Serverless” AWS: A Pragmatic Guide for Cloud Engineers
Why this matters this week If your AWS bill went up in the last 90 days, it probably wasn’t GPUs. For most teams I talk to, the pain is in the “boring” parts: Lambda and Step Functions quietly scaling with usage S3 + CloudFront + data transfer DynamoDB or Aurora Serverless v2 as a surprise…
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