The Krautrock Trilogy @progdocs
Zeitgeist Media presents the Krautrock Trilogy, a mini documentary series on the German Krautrock Scene. Visit https://t.co/ZvtSMiLPV1 for more info. progdocs.com Washington, DC Joined August 2008-
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Screw it. Leaking my entire AI playbook 🧠💸 You’re getting everything I use daily: ✅ 200+ elite prompts for GPT-4, Claude, Grok & more ✅ n8n automations for client outreach + hands-free SEO ✅ exact systems I used to scale from $0 to $10k/month ✅ 1,000+ high-converting copywriting angles, hooks & scripts Basically… if you’re serious about making money with AI — it’s all inside. LIKE + RETWEET + REPLY “YES” and I’ll send it over.
I compiled 50+ n8n automation templates you can copy & paste into your business or sell to other companies. Just straight plug-and-play systems for: – Lead gen -Content creation – Email outreach – CRM updates – AI workflows – Slack/Discord bots … and more. Follow + Retweet + Reply “n8n” and I’ll send it over. This is completely FREE. P.S. Like this stuff? Make money with AI here: skool.com/ai-profit-lab-…
Fuck prompt engineering. It doesn't make any fucking sense. The context is what really deserves to be "engineered". Karpathy calls it the "delicate art and science of filling the context window with just the right information". Here are 5 of the best resources i found on context engineering (sorted by order of reading): 1. "How long contexts fail" is a short blog post that explains the four main failure modes of LLM context. It explains WHY the optimization of context is more important than what you think. dbreunig.com/2025/06/22/how… 2. "the rise of context engineering" by @langchain sets out the fundamental idea behind it. What it is, why it matters, what's the difference with prompt engineering, etc. blog.langchain.com/the-rise-of-co… 3. "Context Engineering for Agents" again by @langchain covers step by step one of their articles on the subject. this one is more in depth, covering some of the main context operations such as Selection, Compression, Isolation, and how Langchain optimizes the context. youtube.com/watch?v=4GiqzU… 4. "Don’t Build Multi-Agents" by @cognition_labs takes a simple and step-by-step look at the challenge of coordinating two or three agents, it really dives under the hood of the context problem, sharing some of the best practical tips on managing the agent's context window. cognition.ai/blog/dont-buil… 5. the final boss: "A Survey of Context Engineering for Large Language Models" is a 166-page survery paper that covers all of the most important research and innovations about RAG, Memory, and everything related to context. If you want a holistic view of what has been going on in the field, this is the way to go. arxiv.org/pdf/2507.13334
TRAILER TRILOGY NEW youtu.be/pMdZ-8OxFxI?si… via @YouTube
@StevenWilsonHQ Steve. Frank White coined the term on his 1989 book. It’s on its 4th edition I believe. frankwhiteauthor.com/#:~:text=More%…
Shinoa Fores @shinohai2017
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Top_Mature_Italia NSF... @mature1959
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