This post documents our investigation into whether LangChain's Ollama integration (https://js.langchain.com/docs/integrations/chat/ollama/) provides exceptional value for the Mercury trading system beyond direct Ollama API usage.
Any Tracker represents a pragmatic approach to substance use in the real world - acknowledging that people make their own choices and providing tools to make those choices safer and more informed.
Any Tracker is a Telegram mini-app designed for tracking nootropics, stimulants, supplements, and any substances without censorship or bias. Initially created for personal use, it has the potential to be offered to a wider audience, including darknet marketplaces.
Core Idea – the user agrees only to one action: tracking. The system analyzes their data in real-time and suggests the most likely sequence of next steps, maximizing execution probability and optimizing personal metrics.
The Projects feature in ChatGPT transforms AI interactions from one-off conversations into organized workspaces. Whether you're working on a complex research project, coding an application, or organizing a content plan, this feature enables better organization and management of your AI interactions.
Picture this: A world where imagination transforms into visual reality with just a few words. This is not science fiction—it's the story of Stable Diffusion, a breakthrough that democratized AI art creation.
It started with a simple observation: our fancy trading signal dashboard was showing 31,753 neutral signals, 0 sell signals, and a suspiciously uniform distribution. Something was clearly wrong with our "intelligent" signal generation system.
"That's odd," I thought, "the signals aren't diverse enough 🙂"
Little did I know I was about to uncover one of the most ironic implementations of machine learning I've ever seen.
Below is a consolidated plan that merges the strongest elements from all the ideas above into one unified, actionable roadmap. The goal is to start simple—ensuring quick wins and immediate value—yet design each piece so it can grow into a more intelligent, adaptive system over time.
This project began with an analysis of the original blog post on crypto news sentiment analysis, which outlined three fundamental approaches to quantifying news impact on cryptocurrency markets:
The post expanded these into three implementation methodologies:
When evaluating approaches for bullshit detection in LLM outputs, we need clear criteria that prioritize practical value over theoretical elegance. This post outlines key criteria for evaluating different approaches.