Continual Learning has already been solved, it just requires the model weights to be running locally on your own hardware so big labs are avoiding the topic altogether Local / Opensource AI will win Inevitable
AI
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Hermes Agent Orchestration Workflow Cheat Sheet
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The /goal Cheat Sheet for Hermes Agent Codex Builds, Claude Code Reviews and Hermes Agent Orchestrates.
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How Prompt Styles Affect AI Output
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Better prompts = better AI outputs • Structured → precision
• Analytical → accuracy
• Conversational → creativity
• Planning → execution The model doesn’t change. Your prompting style does. Via Giuliano Liguori (
@ingliguori
) #AI #Prompts #GenAI -

Moving Beyond Traditional Statistics in the Age of AI
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If You’re Still Worshipping Pearson Correlation, You’re Not a Data Scientist — You’re Driving a Horse Cart in the Age of AI: https://
valeman.medium.com/if-youre-still
-worshipping-pearson-correlation-you-re-not-a-data-scientist-you-re-driving-a-831dc0590de6
… My summary: Don’t just plug your data into some formula to find the answers to the questions you started with. Real Data -

Mindwand: Duolingo-style Lessons for AI Tools
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They've created a Duolingo for learning AI. It's called Mindwand and turns tools like ChatGPT, Claude, or automations into 15-minute practical lessons: • interactive exercises
• real workflows
• guided prompts
• Duolingo-style progress
• 100% free Most people save -

Optimizing AI Agent Costs through Intelligent Orchestration
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THE BIGGEST ROADBLOCK TO SCALING AI AGENTS IS NOT INTELLIGENCE, IT IS TOKEN COST If your agent uses a premium reasoning model to answer a basic greeting, you are burning money. @OpenSquilla is an open-source orchestrator that fixes this, delivering a documented 60-80% in
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Moving beyond LLMs toward world models in AI research
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Truly an all-star cast, on one of the most important questions in AI. Thrilled to see some many people finally willing to confront the hard questions of how we can move beyond LLMs, and into what world models are really about.
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Comparing AI Agents for Automated GitHub Scraping and Dashboard Creation
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Hermes vs OpenClaw on a local Qwen 35B is MINDBLOWING! 🤯@atomicbot_ai asked both to scrape GitHub s⭐, find growth spikes, and build a live dashboard.
— Charly Wargnier (@DataChaz) 16 mai 2026
> @OpenClaw nailed it in 12m by fixing broken HTML.
> Hermes took 33m, pivoting to DuckDuckGo when rate-limited.
Epic run ↓ https://t.co/paSuC88fPPHermes vs OpenClaw on a local Qwen 35B is MINDBLOWING! @atomicbot_ai asked both to scrape GitHub s, find growth spikes, and build a live dashboard. > @OpenClaw nailed it in 12m by fixing broken HTML.
> Hermes took 33m, pivoting to DuckDuckGo when rate-limited. Epic run ↓ -
A new generation using AI to rebuild games
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my 13 yo the other day: “we didn’t want to pay for the game with my friend so we just rebuilt it with Codex” me at 13 in the 90’s: HEX-editing the executable to NOP the license check because I didn't want to put all my pocket money in this game times they are a-changin’