Contact Information
Australia
- June 6, 2025
Upwork: A Freelancer’s Descent into Kafkaesque Absurdity
The gig economy. A promised land of flexibility, autonomy, and unlimited potential. Or so the marketing spiel goes. But what happens when the platforms designed to empower freelancers become instruments of arbitrary control, shrouded in vague policies and enforced by unyielding algorithms? This isn’t a hypothetical scenario. This is my reality on Upwork. And it’s a reality built on a foundation of fear, fueled by inconsistent enforcement, and ultimately designed to keep freelancers in a perpetual state of precarity.
Debugging OpenWebUI’s Hidden Image Processing Limits: A Technical Deep Dive
While integrating image generation with OpenWebUI using Replicate.com’s API, I discovered an undocumented processing limit. The system would fail when generating multiple 1440×1440 images but work fine with other aspect ratios. Through systematic testing, I uncovered that OpenWebUI has a hidden limit of approximately 4.7 megapixels for total output. This led to developing a dynamic scaling solution that automatically adjusts image dimensions based on the number of outputs while maintaining aspect ratios. The investigation revealed important insights about handling image processing limits in web applications.
Basic comparison between LLM providers
I’ve created this table of information to assist me in remembering the features and restrictions of each provider.
My issue with all AI providers / models
After testing multiple AI platforms, I realized they all had deal-breaking limitations—short conversation memory, prompt manipulation, censorship, rate limits, and unreliable file processing. Many chunk documents, making full-document interactions impossible, and frequently “hallucinate” answers instead of admitting uncertainty. Worse, AI providers prioritize storage efficiency over retaining context, making deep discussions frustrating. I needed an AI that could analyze entire documents, retain long chat histories, and offer real control—so I built my own system. Now, I have an AI that actually works the way I need it to.
From “AI in 7 Minutes” to Reality: The Hidden Costs and Complexities of Production-Ready AI
The marketing hype around AI often oversells simplicity, leaving many to grapple with the hidden complexities and costs of effective implementation. As you dive into the world of AI, you may find yourself entangled in a web of interconnected services, each with its own price tag. From API costs to infrastructure overhead and the significant human time investment, the reality can be sobering. Discover strategies to minimize expenses while maintaining functionality, and learn the harsh truths behind the enticing promises of “AI in 26 minutes.” Prepare for a journey that requires solid planning and patience.
The Illusion of AI Knowledge: Making LLMs Work for You Without Overreliance
Unlock the potential of AI without starting from scratch! Discover how large language models (LLMs) like GPT-4 operate on statistical patterns rather than true knowledge. Learn why simply uploading documents isn’t enough and how Retrieval-Augmented Generation (RAG) can enhance your brainstorming sessions. Explore practical strategies like fine-tuning, embedding systems, and specialized prompt engineering to tailor AI responses to your unique business needs. Whether you’re looking to streamline workflows or enhance relevance, our insights will guide you in leveraging existing models effectively. Dive in to transform your approach to AI and maximize its utility for your organization!