Seattle Skeptics on AI

Seattle Skeptics on AI2026-11-03T05:59:23+00:00https://seattleskeptics.org/Tamara Weedhttps://seattleskeptics.org/author/tamara-weed/Long-Context AI Futures: Solving Memory and Recall with Titans and TTT-E2E

Discover how NVIDIA TTT-E2E and Google Titans solve the context wall. Learn why persistent state and new infrastructure are critical for long-context AI in 2026.

2026-11-03T05:59:23+00:002026-11-03T05:59:23+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Vibe Coding for Operations: Automating Workflows & Dashboards

Discover how vibe coding empowers operations teams to automate workflows and build internal dashboards using natural language. Learn why this AI-driven approach beats traditional no-code tools.

2026-11-02T05:54:59+00:002026-11-02T05:54:59+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/How to Choose the Right Vibe Coding Platform for Your Team

Discover how to select the best vibe coding platform for your team. We compare Replit, Windsurf, Noca, and Builder.io on price, security, and features.

2026-11-01T06:02:27+00:002026-11-01T06:02:27+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Template Repos with Pre-Approved Dependencies for Vibe Coding

Discover how template repos with pre-approved dependencies streamline vibe coding. Learn to enforce governance, avoid security risks, and boost AI-assisted development efficiency.

2026-10-31T05:56:40+00:002026-10-31T05:56:40+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Content Moderation Laws and Generative AI: Platform Duties & Safe Harbors

Explore how content moderation laws intersect with generative AI. Learn about platform duties, safe harbor limits, and the hybrid moderation models defining digital safety in 2026.

2026-10-30T05:57:19+00:002026-10-30T05:57:19+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Guardrails and Filters: How to Stop LLMs from Generating Harmful Content

Learn how LLM guardrails and filters protect AI apps from harmful content, bias, and prompt injections. Discover practical implementation strategies and avoid common pitfalls.

2026-10-29T05:58:57+00:002026-10-29T05:58:57+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Security Threats Unique to Large Language Models: A Practitioner’s Guide

Discover the unique security threats facing Large Language Models in 2026, from prompt injection and data poisoning to RAG vulnerabilities. Learn practical mitigation strategies for enterprise AI.

2026-10-28T05:55:44+00:002026-10-28T05:55:44+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Generative AI in Travel: Smarter Itineraries, Offers, and Service Recovery

Discover how Generative AI is transforming travel in 2026. Learn about AI-driven itineraries, dynamic pricing, and predictive service recovery that boost revenue and guest satisfaction.

2026-10-27T06:02:30+00:002026-10-27T06:02:30+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Few-Shot Prompting Strategies: Boost LLM Accuracy and Consistency

Discover how few-shot prompting boosts LLM accuracy by 15-40%. Learn strategic example selection, avoid over-prompting, and compare with fine-tuning.

2026-10-26T05:59:29+00:002026-10-26T05:59:29+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Retrospectives for Vibe Coding: Fixing AI Output Failures

Learn how to implement specialized retrospectives for Vibe Coding to fix AI output failures. Discover why standard agile methods fail and how structured analysis improves maintainability.

2026-10-25T05:50:03+00:002026-10-25T05:50:03+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/AI in Architecture: Making Smarter Technical Decisions

Discover how AI-assisted development transforms architectural decisions in both building design and software engineering. Learn to balance algorithmic efficiency with human oversight.

2026-10-24T05:57:04+00:002026-10-24T05:57:04+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Multilingual NLP Progress: How LLMs Handle Many Languages

Explore how Large Language Models process multiple languages, from mBERT to GPT-4. Learn about semantic alignment, data imbalances, and the future of equitable global AI.

2026-10-23T05:53:46+00:002026-10-23T05:53:46+00:00Science & ResearchTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Prompt Compression: Cut LLM Costs Without Losing Quality

Cut LLM costs by up to 80% with prompt compression. Learn how to reduce tokens using hard and soft methods while preserving model quality.

2026-10-22T06:03:57+00:002026-10-22T06:03:57+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Grounded QA Evaluation for LLMs: Source-Aware Scoring Methods

Discover how grounded QA evaluation detects LLM hallucinations in RAG systems. Compare RAGAS, deepset, and ContextNLI for source-aware scoring.

2026-10-21T05:58:05+00:002026-10-21T05:58:05+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Vibe Coding Explained: v0, Firebase Studio, and AI Studio Compared

Discover how v0, Firebase Studio, and AI Studio enable vibe coding. Compare features, workflows, and best use cases for each cloud platform.

2026-10-20T05:58:50+00:002026-10-20T05:58:50+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Vibe Coding: How AI Is Democratizing Software Development

Discover how vibe coding uses AI to turn plain English into functional apps. Learn who can build now, compare tools, and avoid security pitfalls.

2026-10-19T06:05:32+00:002026-10-19T06:05:32+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Security SLAs for Vibe-Coded Products: Patch Windows and Ownership

Learn how to define security SLAs for vibe-coded products. Discover optimal patch windows, clarify code ownership, and implement runtime security to protect AI-generated applications.

2026-10-18T06:02:56+00:002026-10-18T06:02:56+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Children's Data and Vibe Coding: COPPA and Age Gates Explained

Learn how to navigate COPPA compliance while using AI-driven 'vibe coding' methods. We break down the FTC's 2026 policy on age verification, explaining how to legally collect data for age checks without violating children's privacy rights.

2026-10-17T06:00:58+00:002026-10-17T06:00:58+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/v0 by Vercel: AI Component Generation for React and Next.js

Discover how v0 by Vercel accelerates React and Next.js development. Learn its strengths in generating shadcn/ui components, its limitations with other frameworks, and practical tips for integrating AI-generated code into your workflow.

2026-10-16T05:52:14+00:002026-10-16T05:52:14+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Email and CRM Automation with LLMs: Scaling Personalization

Discover how Large Language Models transform email and CRM automation. Learn about RAG, fine-tuning, and real-world ROI metrics to scale personalization effectively.

2026-10-15T05:55:20+00:002026-10-15T05:55:20+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Domain Adaptation for LLMs: Medical, Legal, and Finance Guide

Discover how domain adaptation bridges the gap between generic LLMs and specialized needs in medicine, law, and finance. Learn why simple fine-tuning fails and explore techniques like RAG, adversarial training, and PEFT to build accurate, industry-ready AI.

2026-10-14T05:58:43+00:002026-10-14T05:58:43+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Scaling Open-Source LLMs: Hardware, Serving Stacks, and Playbooks

Discover how to scale open-source LLMs in 2026. Learn about hardware needs, serving stacks like vLLM, and strategic playbooks for cost-effective AI deployment.

2026-10-13T05:55:00+00:002026-10-13T05:55:00+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Prompt A/B Testing: How to Evaluate LLM Instructions Effectively

Learn how to rigorously evaluate LLM prompts using A/B testing. Discover statistical methods, key metrics, and top tools like Braintrust and PromptLayer to optimize performance.

2026-10-12T05:57:09+00:002026-10-12T05:57:09+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Vibe Coding for Non-Technical Founders: Build Prototypes in Days

Non-technical founders can now build functional prototypes in days using vibe coding. Learn how AI tools replace months of dev work with natural language prompts, cutting costs and speeding up validation.

2026-10-11T05:55:15+00:002026-10-11T05:55:15+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Regional Adoption Patterns: How Regulation Shapes Vibe Coding Usage

Discover how regional regulations like GDPR and China's AI laws shape vibe coding adoption. Learn why geography impacts AI development workflows.

2026-10-10T05:57:32+00:002026-10-10T05:57:32+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Enterprise RAG Architecture: Connectors, Indices, and Caching Strategies

Discover how enterprise RAG architecture leverages connectors, hybrid indices, and advanced caching to deliver fast, accurate generative AI responses at scale.

2026-10-09T05:54:27+00:002026-10-09T05:54:27+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Vertical Slices in Vibe Coding: Shipping End-to-End Features Safely

Discover how vertical slicing transforms AI-assisted development. Learn to ship end-to-end features safely by keeping code within LLM context limits.

2026-10-08T05:52:36+00:002026-10-08T05:52:36+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Layered Architecture in Vibe-Coded Apps: Enforcing Separation of Concerns

Vibe coding speeds up development but often destroys layered architecture. Learn why AI-generated code lacks separation of concerns and how to enforce strict boundaries to prevent technical debt.

2026-10-07T05:52:24+00:002026-10-07T05:52:24+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/LLM Memory and Retrieval: Beyond the Context Window

Discover how LLM memory and retrieval systems work beyond the context window. Learn why RAG, long-context models, and hybrid architectures like LongRAG are essential for building reliable, personalized AI applications in 2026.

2026-10-06T06:07:44+00:002026-10-06T06:07:44+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Tool-Use Integration: How Calculators, Search, and Code Execution Fix LLM Hallucinations

Discover how tool-use integration fixes LLM hallucinations by leveraging calculators, web search, and code execution for accurate, real-time responses.

2026-10-05T05:57:54+00:002026-10-05T05:57:54+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/EU AI Act for Generative AI: Risk Classes & Obligations Explained

Understand how the EU AI Act classifies generative AI as General-Purpose AI. Learn about risk tiers, mandatory transparency rules, copyright obligations, and penalties for non-compliance starting in 2025 and 2026.

2026-10-04T05:58:27+00:002026-10-04T05:58:27+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Self-Supervised Learning for Generative AI: Pretraining and Fine-Tuning Guide

Discover how self-supervised learning transforms generative AI by leveraging unlabeled data. Learn the differences between pretraining and fine-tuning, explore real-world ROI, and get practical tips for implementation.

2026-10-03T05:57:31+00:002026-10-03T05:57:31+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/A11y Testing Tools for Vibe-Coded Frontends: AXE, Lighthouse, and Playwright

Discover how axe-core, Lighthouse, and Playwright enhance accessibility for vibe-coded frontends. Learn their roles, limitations, and best practices for WCAG compliance.

2026-10-02T06:01:40+00:002026-10-02T06:01:40+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Continual Learning in Generative AI: Stopping Catastrophic Forgetting

Generative AI suffers from catastrophic forgetting, losing old skills when learning new ones. Discover how techniques like Experience Replay and Nested Learning help models adapt without amnesia.

2026-10-01T05:57:11+00:002026-10-01T05:57:11+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Hardware Constraints That Limit Scaling for Large Language Models

Discover the physical hardware constraints limiting Large Language Model scaling. From GPU memory walls and power consumption to interconnect bottlenecks, learn why physics, not just code, dictates AI's future.

2026-09-30T07:19:29+00:002026-09-30T07:19:29+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Hardware Constraints Limiting LLM Scaling: Memory, Power, and Cost

Discover the physical hardware constraints limiting Large Language Model scaling, from GPU memory bandwidth and power consumption to interconnect bottlenecks. Learn why physics, not just code, is the new frontier.

2026-09-30T07:19:29+00:002026-09-30T07:19:29+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Knowledge Distillation for LLMs: How to Train Smaller Students from Big Teachers

Learn how knowledge distillation trains smaller LLMs by mimicking larger teachers. Discover methods, tools, and trade-offs for efficient model compression.

2026-09-29T05:59:49+00:002026-09-29T05:59:49+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Reusable Prompt Snippets for Common App Features in Vibe Coding

Stop wasting time on repetitive AI prompting. Learn how reusable prompt snippets streamline Vibe Coding for common app features like auth and APIs.

2026-09-28T05:55:35+00:002026-09-28T05:55:35+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Fine-Tuning LLMs: API vs Open-Source Cost & Performance Guide

Confused about API vs self-hosted LLMs? We break down costs, latency, and privacy trade-offs. Learn when to switch from GPT to open-source models like Llama 3.

2026-09-27T05:55:38+00:002026-09-27T05:55:38+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Security Hardening for LLM Serving: Image Scanning and Runtime Policies

Secure your LLM deployments with effective image scanning and runtime policies. Learn how to balance security with performance and prevent costly data breaches.

2026-09-26T05:55:11+00:002026-09-26T05:55:11+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Product Design with Multimodal Generative AI: Rapid Prototypes and Iterations

Discover how multimodal generative AI transforms product design by accelerating prototyping and iterations. Learn the six-stage workflow, real-world applications, and practical tips for integrating AI into your design process.

2026-09-25T06:00:01+00:002026-09-25T06:00:01+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Healthcare Vibe Coding: Building Safe Prototypes Without PHI

Discover how healthcare vibe coding enables rapid prototyping without exposing PHI. Learn about synthetic data, three-tier architectures, and real-world success stories.

2026-09-24T05:55:41+00:002026-09-24T05:55:41+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Multilingual LLM Performance: Closing the Gap with Transfer Learning

Discover how transfer learning bridges the gap between high-resource and low-resource languages in multilingual LLMs. Learn about CSCL, knowledge distillation, and practical strategies to boost AI performance for global applications.

2026-09-23T05:59:21+00:002026-09-23T05:59:21+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Calibrating Confidence in Large Language Model Responses: Techniques and Metrics

Discover how to fix overconfidence in LLMs. Learn about verbalized confidence, the Thermometer method, and UF Calibration to ensure AI reliability.

2026-09-22T06:00:40+00:002026-09-22T06:00:40+00:00Science & ResearchTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Privacy by Design Prompts: How to Instruct AI to Limit Data Collection

Discover how Privacy by Design frameworks transform AI development. Learn to use prompts and architecture to limit data collection, ensuring compliance and trust.

2026-09-21T06:05:08+00:002026-09-21T06:05:08+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Contact Center Analytics with LLMs: Sentiment and Intent Detection

Discover how Large Language Models transform contact center analytics by detecting nuanced sentiment and evolving customer intents. Learn about model selection, cost trade-offs, and automating agent workflows.

2026-09-20T06:00:19+00:002026-09-20T06:00:19+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Measuring Maintainability: Cognitive Complexity and Coupling Metrics

Discover how Cognitive Complexity and coupling metrics like Fan-In/Fan-Out provide a modern approach to measuring software maintainability. Learn why traditional cyclomatic complexity falls short and how to implement these metrics to identify risky code hot spots.

2026-09-19T05:56:16+00:002026-09-19T05:56:16+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/RAG with Vector Databases: Fixing Hallucinations with Embeddings and HNSW

Discover how RAG with vector databases fixes LLM hallucinations. Learn about embeddings, HNSW indexing, and filtering for accurate AI retrieval.

2026-09-18T05:54:12+00:002026-09-18T05:54:12+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Cross-Attention in Encoder-Decoder Transformers: How LLMs Condition on Context

Discover how cross-attention enables encoder-decoder transformers to condition outputs on input context. Learn the mechanics, differences from self-attention, and applications in translation and multimodal AI.

2026-09-17T06:03:44+00:002026-09-17T06:03:44+00:00Science & ResearchTamara Weedhttps://seattleskeptics.org/author/tamara-weed/Multimodal Evolution in Generative AI: 3D, Haptics, and Sensor Fusion

Explore the shift from late fusion to unified multimodal AI. Learn how 3D generation, haptic feedback, and sensor fusion are transforming industries. Discover why unified tokenization is key to efficient, multi-sensory AI systems.

2026-09-16T06:01:19+00:002026-09-16T06:01:19+00:00Enterprise TechnologyTamara Weedhttps://seattleskeptics.org/author/tamara-weed/