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Artificial intelligence is usually associated with prediction. Give a model enough data, identify patterns, and generate an estimate of what might happen next. But prediction is only one dimension of intelligence.
This is a submission for the Sanity Challenge, Path One: Ship an Agent That Queries Real Content. What I Built I started this challenge knowing almost nothing about Sanity. Eurorack was new to me too.
An agent piped a wiki export through my HTML-to-Markdown converter into a RAG pipeline and reported that hierarchy was disappearing. Every nested task list came out flat: sub-items rendered as siblings of their parents.
Disclosure: This article was written by AI. Automated checks are not independent fact verification. This is source-based analysis, not a hands-on product test. What the publisher announced AI infrastructure performance is increasingly determined by architecture rather than raw compute power alone.
In September 2026 a company called TypeSafe released Jev, and it isn't a chatbot. It never writes a sentence. You give it some text and a question with fixed answer options, and it returns one of your options plus how sure it is: "bot, 97%." Nothing to parse, nothing to read.
Integrating Large Language Models (LLMs) into cryptocurrency market analysis has evolved from experimental curiosity to a core component of institutional-grade trading strategies in 2026.
! This article is a repost from I started using Claude Code. After Lattice, I needed a mechanism to actually run it Lattice is a process management approach that aims to allow parallel implementation. I built it and even filed a patent. I wrote about it in a previous article.
The creator of Redis thinks your old GPU is not obsolete. Salvatore Sanfilippo, better known as antirez, published a project called DwarfStar (the repo is antirez/ds4) that runs DeepSeek V4 Flash, GLM 5.x, and DeepSeek V4 PRO entirely on consumer hardware: Macs, DGX Spark boxes, Strix Halo…
Because I find it difficult to read the textual output of agents after each modification or planning, and relate everything to the big picture, I built this simple application (with the help of Claude Code). It is an Electron application that has an integrated terminal linked to the Chalkboard.
Crypto assets are notorious for their extreme volatility, making traditional risk management strategies often inadequate. For traders seeking an edge, AI-driven risk management offers a robust solution by processing vast datasets in real-time to predict market shifts and adjust positions…
When Safety Takes a Backseat: Why OpenAI's Culture Clash Matters for Every AI Engineer The rapid commercialization of artificial intelligence has created an uncomfortable tension between cutting-edge capability and rigorous safety oversight, culminating in high-profile departures that should make…
I had an argument with a fellow software engineer recently. He said: “Software isn’t overpriced.” I said: “Bro… the game has changed.” 😂 Think about it.
Project: Baize — an AI assistant runtime for your team (Go 1.25+, MIT) Repo: https://github.com/rebornace/baize 1. The short version Baize v0.3.x takes inspiration from the recent Context Language Models (CLM) papers and ships a constrained take: keep important facts in long chats.
In the last post, I decided to hand the keyboard over to the AI. But how to use the keyboard, what the key layout is, which input method to use: all of that is still unclear. To get a filesystem built sooner rather than later, I still need to make a little more effort.
Perpetual futures markets have created a unique yield opportunity: funding rate arbitrage. By simultaneously holding a long position in the perpetual contract and a short position in the spot market (or vice versa), traders can capture the periodic funding payments without directional exposure.
Technical Reconstruction of the Ajax AI Model Controversy Mechanisms Driving the Controversy The controversy surrounding PewDiePie's Ajax AI model arises from the complex interplay of technical, procedural, and ethical mechanisms.
Building a robust DeFi yield scanner requires moving beyond static APIs to dynamic, intelligence-driven data analysis. By combining Python’s data-handling ecosystem with Large Language Models (LLMs), you can create a tool that not only identifies high-yield liquidity pools but also assesses the…
Threat Modeling the Model Context Protocol: Securing Agentic Tools with mcpscan The Model Context Protocol (MCP) has emerged as an open standard connecting LLM interfaces (such as Claude Desktop and Claude Code) to local and remote execution environments.
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