Seattle Skeptics on AI

Tamara Weed, Jan, 13 2026

Generative AI is now transforming healthcare, finance, manufacturing, and customer service in 2025, cutting costs, speeding up workflows, and boosting accuracy. Learn how real companies are using it-and what it takes to make it work.

Tamara Weed, Jan, 11 2026

Context windows in large language models define how much text an AI can process at once. Learn the limits of today’s top models, the trade-offs of longer windows, and practical strategies to use them effectively without wasting time or money.

Tamara Weed, Jan, 10 2026

Vibe coding speeds up development but introduces serious security risks. Learn how to triage AI-generated vulnerabilities by evaluating severity, exploitability, and impact - with real data from 2024-2025 research.

Tamara Weed, Dec, 29 2025

Vibe coding adoption is surging, with 84% of developers using AI tools-but only 9% trust them for production code. Learn the key stats, top platforms, security risks, and real-world usage patterns that define this new era of software development.

Tamara Weed, Dec, 26 2025

Learn how to reduce unpredictable responses from AI models using deterministic prompts, temperature settings, and other proven techniques. Get consistent, reliable outputs for production use.

Tamara Weed, Dec, 22 2025

Shadow AI-unapproved AI tools used by employees-is a growing compliance threat. Learn how to identify, govern, and bring these tools into compliance with real-world strategies and regulatory requirements.

Tamara Weed, Dec, 20 2025

Parameter count in large language models determines their reasoning power, knowledge retention, and task performance. Bigger isn't always better-architecture, quantization, and efficiency matter just as much as raw size.

Tamara Weed, Dec, 19 2025

Large language models often answer confidently even when they're wrong. Learn how new methods detect when they're out of their depth-and how to make them communicate uncertainty honestly to build real trust.

Tamara Weed, Dec, 17 2025

Tensor parallelism is the key technique for running large language models across multiple GPUs. Learn how it splits model layers to fit bigger models on smaller hardware, its real-world performance, and how to use it with modern frameworks.

Tamara Weed, Dec, 16 2025

Attention head specialization lets large language models process grammar, context, and meaning simultaneously through dozens of specialized internal processors. Learn how they work, why they matter, and what’s next.

Tamara Weed, Dec, 15 2025

The Parapsychological Association is a respected scientific group studying psi phenomena like telepathy and precognition using rigorous methods. Founded in 1957, it's affiliated with the AAAS and includes university researchers worldwide.

Tamara Weed, Dec, 15 2025

Generative AI is transforming manufacturing by auto-generating SOPs, work instructions, and QC reports in real time. Learn how it cuts errors, speeds up training, and empowers operators-with real examples from Georgia-Pacific, Bosch, and Hyundai.