Seattle Skeptics on AI

Tamara Weed, Jun, 1 2026

Discover how AI high performers capture value by redesigning workflows, not just automating tasks. Learn the strategies behind the top 5% success rate.

Tamara Weed, May, 31 2026

Explore how real-time multimodal assistants use LLMs to process text, audio, and video instantly. We break down the tech, costs, and top performers like GPT-4o and Gemini.

Tamara Weed, May, 30 2026

Learn how to integrate Stripe and Supabase in vibe-coded apps using Cursor AI. Covers secure webhooks, database schemas, and avoiding common payment security pitfalls.

Tamara Weed, May, 29 2026

Learn how to educate users on LLM limitations like hallucinations and bias. Discover strategies for setting responsible expectations in healthcare, law, and enterprise tech.

Tamara Weed, May, 28 2026

Master LLM code generation with proven prompt patterns. Learn how to use Context/Instruction and Recipe frameworks to generate precise unit tests and refactors, reducing errors and saving time.

Tamara Weed, May, 27 2026

Explore how to fix overconfident AI. Learn about token probability calibration, Full-ECE metrics, and practical techniques like temperature scaling to ensure your LLM's confidence matches its accuracy.

Tamara Weed, May, 26 2026

Secure your LLM services with proven access control and authentication patterns. Learn how to defend against prompt injection, implement zero-trust AI, and choose between RBAC, ABAC, and PBAC for enterprise-grade security.

Tamara Weed, May, 25 2026

A technical walkthrough of Transformer architecture, explaining self-attention, multi-head mechanisms, and how LLMs process and generate text efficiently.

Tamara Weed, May, 24 2026

Learn how to build Human-in-the-Loop evaluation pipelines for LLMs. Combine automated scaling with human expertise to improve accuracy, reduce bias, and ensure quality in AI systems.

Tamara Weed, May, 23 2026

Explore how multimodal generative AI integrates text, image, video, and audio to create smarter, context-aware systems. Learn about key models like GPT-4o and Llama 4, fusion strategies, and real-world applications in 2026.

Tamara Weed, May, 22 2026

Learn how non-technical professionals can build apps using vibe coding. This guide covers top AI tools, step-by-step instructions, and prompt tips for creating software without writing code.

Tamara Weed, May, 21 2026

Explore the differences between sinusoidal and learned positional encoding in Transformers. Learn why modern LLMs favor RoPE and ALiBi for better long-context performance.