Seattle Skeptics on AI

Tamara Weed, Jun, 5 2026

Explore the reality of AI watermarking and detection in 2026. Learn why text watermarks fail, how C2PA provenance works, and the practical limits of tools like SynthID for verifying generative content.

Tamara Weed, Jun, 4 2026

Master generative AI portfolio management with proven prioritization frameworks and resourcing strategies. Learn how financial institutions maximize AI ROI while mitigating regulatory risks.

Tamara Weed, Jun, 3 2026

Navigate data residency rules for global LLM deployments. Learn how to balance GDPR/PIPL compliance with AI performance using hybrid architectures and local Small Language Models.

Tamara Weed, Jun, 2 2026

Learn how Hybrid Search combines semantic and keyword retrieval to fix RAG accuracy issues. Discover BM25 integration, fusion techniques, and real-world benchmarks for LLMs.

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.