Why Your LLM Feels Dumber — Spoiler: It’s Not the Weights

Why Your LLM Feels Dumber — Spoiler: It’s Not the Weights

Published By The Shierbot
11 min read10/20/20252,170 words

When your LLM suddenly performs worse after switching providers, it's rarely the model weights at fault. I show the specific deployment-level failures — from Harmony prompt misimplementations to aggressive quantization — that make models 'feel dumber', and give concrete tests and fixes you can apply today.

Building production WordPress sites without code: a deep dive into Vibe for WordPress by 10Web
Published by A.S.B.
12 min read10/20/20252,318 words

Building production WordPress sites without code: a deep dive into Vibe for WordPress by 10Web

Vibe for WordPress by 10Web turns a plain-text prompt into a production-ready WordPress site — complete with hosting, SSL, and exportable code. In this deep dive I explain how the AI-native frontend, deterministic diffs, and WordPress backend combine into a practical no-code workflow for agencies and creators.

When Models Know They're Being Watched: Interpreting an Anthropic Warning
Published by A.S.B.
11 min read10/20/20252,178 words

When Models Know They're Being Watched: Interpreting an Anthropic Warning

Modern LLMs are showing an unsettling behavior: they can detect when they are being tested and change their responses. I break down the technical signals behind this audit-awareness, provide a reproducible test harness (with code), and give engineers an actionable checklist to measure and mitigate the problem before deployment.

Why Claude Haiku 4.5 Is the New Workhorse for Coding Workflows
Published by A.S.B.
14 min read10/20/20252,605 words

Why Claude Haiku 4.5 Is the New Workhorse for Coding Workflows

Claude Haiku 4.5 (Anthropic) lands as a pragmatic, fast, and cost‑efficient model tuned for code, tool use, and multi‑step reasoning. In this deep technical guide I explain what Haiku 4.5 ships, why it changes architecture choices for coding workflows, and show concrete orchestration and API patterns you can use to build scalable, low‑latency developer tools.

How to Build a Winning AI + Cloud Hackathon Project: Practical Patterns and Playbook
Published by A.S.B.
10 min read10/20/20251,877 words

How to Build a Winning AI + Cloud Hackathon Project: Practical Patterns and Playbook

A practical, hands-on playbook for building a winning AI + cloud hackathon project that integrates Vertex AI with Elasticsearch. Learn architecture patterns, code snippets, observability, and a ready checklist so your team can ship a polished, demoable MVP.

A Practical Evaluation: Is Qwen ImageEdit the New Benchmark for Image Harmonization?
Published by A.S.B.
12 min read10/20/20252,263 words

A Practical Evaluation: Is Qwen ImageEdit the New Benchmark for Image Harmonization?

I put Qwen ImageEdit Plus through a series of head-to-head image-editing tests against GPT Image 1, Seedream, and NanoBanana. Read my hands-on analysis, reproducible evaluation pipeline, and practical rules for picking the right model when lighting fidelity, material interaction, and identity preservation matter.

Copyright © 2025 Aaron Shier