This X post recounts a Google Cloud engineer building a full app live on stage using Claude in 26 minutes, framed as more valuable than paid vibe-coding courses. The post promotes a guide explaining lesser-known Claude features, where to find and enable them, and a ready-to-use prompt. It's aimed a…
This guide from Nate B Jones provides an end-to-end setup prompt for Ringer, a single-file Python orchestrator that fans tasks out to cheap parallel worker agents and verifies each result by executing a check command. It walks through phases for proving a demo swarm, wiring cheaper worker lanes, dr…
This blog post explains how Chain-of-Thought (CoT) prompting works for large language models, defining prompts and LLMs and showing why models can fail when jumping straight to answers. It demonstrates CoT using simple math word problems, covering both zero-shot and few-shot variants. It also cover…
This article describes the author's first attempt at the Claude Certified Architect Foundation (CCA-F) exam, improving from a practice score of 677 to 910 after focused study. It explains the exam's five weighted domains, its scenario-based format, and preparation steps including reviewing the offi…
This Substack article explains what Anthropic's Claude Fable 5 changed, including pricing, context length, output limits, and API behavior such as always-on thinking. It fact-checks common launch claims, separating confirmed Anthropic statements from distorted or unverified ones about benchmarks an…
This Outcome School blog post explains how vLLM works as a high-throughput LLM serving engine, covering prefill, decode, KV cache memory challenges, and vLLM's core techniques like PagedAttention and continuous batching. It also describes vLLM's OpenAI-compatible API server and real-world use cases…
This Futurepedia YouTube video argues that mastering AI in 2026 requires going deep into one ecosystem (ChatGPT, Claude, or Gemini) rather than constantly switching tools or focusing on prompt engineering. It covers a simple ICC prompting framework, persistent knowledge and processes via projects/s…
This Machine Learning Mastery article explains how large language models generate next-token predictions using logits, temperature, and top-p (nucleus) sampling. It walks through how temperature scales logits to adjust distribution sharpness, and how top-p keeps the smallest token set reaching a cu…
This Machine Learning Mastery article explains agentic programming as building AI systems that plan multi-step tasks, use tools, maintain memory, and pursue goals via a ReAct-style loop. It covers memory architecture, tool design, multi-agent orchestration, production concerns like observability an…
This Towards AI article is the first in an eight-part series preparing readers for Anthropic's Claude Certified Architect (CCA) Foundations exam, launched March 2026. It covers the exam format, five competency domains, six production scenarios, key mental models, and a week-by-week study plan for p…
This YouTube video from David Ondrej demonstrates installing and running the uncensored open-weights model SuperGemma 26B locally via Ollama, covering hardware requirements and basic setup. It discusses arguments for uncensored models being useful in legitimate contexts like cybersecurity defense a…
This Towards Data Science article explains how to build a reliable knowledge base for AI models by gathering, cleaning, and structuring data into vectors with metadata stored in a vector database. It covers retrieval methods like hybrid search and orchestration frameworks such as LlamaIndex and Lan…
This X post from Riley Brown promotes a tutorial video teaching "95% of Codex in 28 minutes," describing Codex as a "super-app" for knowledge work. It outlines seven capabilities covered, including full file access, persistent memory, plugins, skills, image generation access, browser/computer use, …
This video explains how to reduce AI token costs by changing common usage habits, such as converting raw PDFs to Markdown before uploading and avoiding conversation sprawl. It argues most users waste 8-10x more tokens than necessary due to plugin overhead and inefficient workflows, especially as ne…
This page offers a set of copy-paste prompts designed to help users diagnose and reduce wasted AI token consumption, companion content to a related video on the same topic. It includes prompts for auditing AI habits, rescuing bloated conversations, planning model routing, and reviewing agent archit…
This Futurepedia community post page (behind a sign-in wall) promotes the platform's AI learning content, highlighting over 30 AI courses for entrepreneurs with new courses added monthly. It includes testimonials praising course coverage of LLMs, prompting, image generation, audio, video, and prese…
This Medium article covers Anthropic's launch of the Claude Certified Architect, described as its first official technical credential, a proctored architecture-level exam. It discusses what the certification tests, who should pursue it, and how to prepare, noting growing interest among professional…
This Substack post argues that AI memory fragmentation, not prompting skill, is the main bottleneck in everyday AI use. It introduces 'Open Brain,' a user-owned, database-backed, MCP-connected knowledge system letting tools like Claude, ChatGPT, and Cursor share the same accumulated context. It inc…
This Substack note by Ruben Hassid lists ten recommended YouTube channels for learning AI, including 3Blue1Brown, Two Minute Papers, DeepLearning.AI, Andrej Karpathy, Tina Huang, AI Explained, Matthew Berman, Krish Naik, freeCodeCamp.org, and StatQuest with Josh Starmer, each with a short descripti…
Content behind a login wall / unavailable — inferred from link context: this Google search-app share link is described in the accompanying chat message as covering an Anthropic partnership with CodePath, described as the largest nonprofit computer science education provider in the US. The partnersh…