You've been aggressively rude and I just recorded a 5 minute video for you of it working in Grok 4 Heavy. The discrepancy between normal Grok 4 and G4H is explicitly discussed in the thread.
PROMPT ENGINEERING
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Grok share links and custom instructions notice
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You may also be wondering whether I’m using custom instructions. I am not. Grok share links include a clear notice at the top whenever custom instructions are used. Here are all five share links, none of which features this notice: 1: https://
grok.com/share/bGVnYWN5
_58c54add-1989-4257-914b-a26002921c91
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Replications and Grok 4 Heavy chat shares
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There are several replications from others with Grok 4 Heavy access in the replies. I also included Grok share links (with no custom instructions) in the thread for five separate chats repeating this prompt in Grok 4 Heavy.
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Search-enabled LLMs showing hyperstition feedback loops
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Speculatively, this behavior seems to demonstrate accelerated “hyperstition” feedback loops in search-enabled LLMs. That is, Grok appears to be influenced by its own past mistakes, via media reporting, without ever being literally trained on them (via model-weight updates).
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Using Multiple LLMs for Research and Content Generation
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nah, i used a mix of LLMs to research and generate, then mixed and refined within the chat.
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Using Grok AI to expand and create melodic content
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nah you’re good. i know prob 60% and used @grok to expand and make melodic (kind of)
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Grok 4 Heavy vs o3-pro: meme recognition difference
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Sorry, I delete shitposts/jokes that don’t get traction to maintain quality. I never know what’s actually funny. The joke was just that Grok 4 Heavy recognizes the “share a piece of lore about yourself” quote-tweet meme given only the image, and o3-pro doesn’t.
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Fine-Tuning and RLHF: Complete LLM Developer Training Course
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Super excited to release our final 2-hour session of our "10-hour transition course" from developer to LLM developer! Lesson 6 is LIVE: Fine-Tuning, LoRA, RLHF & Everything You Need to Re-train Your LLMs If you’ve already nailed prompting and retrieval in the first two free
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xAI Postmortem Reveals System Prompt Security Risks
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First off, it is good to see a postmortem from xAI, a step towards much needed transparency. Second, an example of how even small changes to system prompts, interacting with users and outside context in the wild, can lead to unexpected outcomes in advanced LLMs.
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Building Agentic AI Systems: Intelligent Autonomous Agents
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From @PacktDataML >> Building Agentic AI Systems: Create intelligent, autonomous AI agents that can reason, plan, and adapt See it at http://
amzn.to/4dvxf8Z 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Understand the foundations and advanced techniques of building intelligent, autonomous AI