Seattle Skeptics on AI

Copyright Risks in Multimodal Generative AI: Images, Music, and Video Clips
Copyright Risks in Multimodal Generative AI: Images, Music, and Video Clips

Tamara Weed, May, 14 2026

Explore the critical copyright risks of multimodal generative AI in 2026. Learn why AI images, music, and videos lack protection in the US, how training data lawsuits threaten creators, and strategies to mitigate legal exposure.

Categories:

Change Management for Vibe Coding: Training, Tools, and Incentives
Change Management for Vibe Coding: Training, Tools, and Incentives

Tamara Weed, May, 13 2026

A practical guide to implementing vibe coding in your organization. Learn how to train developers, select the right AI tools, and restructure incentives to drive successful adoption.

Categories:

Generative AI in Life Sciences: Protein Design and Literature Reviews
Generative AI in Life Sciences: Protein Design and Literature Reviews

Tamara Weed, May, 12 2026

Explore how Generative AI transforms life sciences research through de novo protein design and automated literature reviews. Learn about tools like BoltzGen and RFdiffusion3.

Categories:

How to Force JSON Output from LLMs Using Schema-Constrained Prompts
How to Force JSON Output from LLMs Using Schema-Constrained Prompts

Tamara Weed, May, 11 2026

Learn how to force LLMs to output valid JSON using schema-constrained prompts. Explore finite state machines, implementation tools, and trade-offs between reliability and semantic accuracy.

Categories:

Structured vs Unstructured Pruning for LLMs: A Practical Guide to Model Efficiency
Structured vs Unstructured Pruning for LLMs: A Practical Guide to Model Efficiency

Tamara Weed, May, 10 2026

Explore structured vs unstructured pruning for LLMs. Learn how Wanda and FASP optimize model efficiency, reduce memory usage, and speed up inference on standard and specialized hardware.

Categories:

Measuring GenAI Adoption: Telemetry, Surveys, and ROI Strategies
Measuring GenAI Adoption: Telemetry, Surveys, and ROI Strategies

Tamara Weed, May, 9 2026

Learn how to measure generative AI adoption using telemetry, experience sampling, and surveys. Discover strategies to calculate ROI, track usage, and improve organizational AI effectiveness.

Categories:

Regulatory Outlook for AI-Generated Code: What to Expect by 2026
Regulatory Outlook for AI-Generated Code: What to Expect by 2026

Tamara Weed, May, 8 2026

Navigate the complex regulatory landscape for AI-generated code in 2026. This guide covers EU AI Act deadlines, US state laws, and practical compliance steps for developers.

Categories:

Generative AI in Procurement: Vendor Assessments and Clause Libraries Guide
Generative AI in Procurement: Vendor Assessments and Clause Libraries Guide

Tamara Weed, May, 7 2026

Discover how generative AI transforms procurement through automated vendor assessments and intelligent clause libraries. Learn implementation strategies, benefits, and risks for modern supply chain management.

Categories:

LLM Data Residency Rules: A Practical Guide to Regional Compliance in 2026
LLM Data Residency Rules: A Practical Guide to Regional Compliance in 2026

Tamara Weed, May, 6 2026

Navigate 2026 LLM data residency rules. Learn how GDPR, PIPL, and DPDP impact AI deployment, architecture, and costs. Avoid fines with practical compliance strategies.

Categories:

Secure Embedding Stores: How to Protect Vectorized Private Documents in 2026
Secure Embedding Stores: How to Protect Vectorized Private Documents in 2026

Tamara Weed, May, 5 2026

Protect vectorized private documents with secure embedding stores. Learn about semantic leakage, encryption challenges, and top vector database security features for 2026.

Categories:

Why Longer Context Doesn't Always Mean Better AI Output
Why Longer Context Doesn't Always Mean Better AI Output

Tamara Weed, May, 4 2026

Discover why longer context windows in LLMs don't always mean better output. Learn about effective context length, attention dilution, and how to optimize RAG systems for peak performance.

Categories:

Tiered Governance for Vibe-Coded Apps: Matching Controls to Risk
Tiered Governance for Vibe-Coded Apps: Matching Controls to Risk

Tamara Weed, May, 3 2026

Learn how tiered governance matches security controls to risk levels in vibe-coded apps. Discover frameworks for AI-assisted development, policy-as-code, and behavioral monitoring to ensure safe enterprise scaling.

Categories: