That’s not Grok 4 Heavy. The discrepancy between G4H and regular Grok 4 is discussed in my thread. I also included five Grok share links if you suspect my screenshots and screen recordings are fake.
LLMS
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Harvey, Hebbia, and Major AI Benchmarks Performance
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yeah… also harvey, hebbia, and all the benchmarks like MMLU, GPQA, HumanEval…
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Getting llama-cpp-python working with local models
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Thanks! Did you manage to make it work with llama-cpp-python? If so, could you share how you did it? I didn't think it'd require extra work
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OpenRouter Models Require Extreme Hardware Specifications Locally
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No @openrouter
. You can't really run this locally unless you have insane specs. -
Anthropic Models Excel at Tool Calling in Loops
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Overthinkers. I just need something that calls a tool, not a dissertation on why it's calling one. Which is why I like gpt-4.1 better, but even that one has flaws when in a loop. Basically, so far, only Anthropic models have been reliable for tools in a loop. This changes the
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First Non-Anthropic Model for Agentic Loops
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I didn’t word it properly, I meant it's the first non-Anthropic model I feel I can use for agentic loops.
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Kimi K2 excels at tool calling and agentic loops production-ready
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Kimi K2 is so good at tool calling and agentic loops, can call multiple tools in parallel and reliably, and knows "when to stop", which is another important property.
— Pietro Schirano (@skirano) 13 juillet 2025
It's the first model I feel comfortable using in production since Claude 3.5 Sonnet. pic.twitter.com/TcEkPlBMukKimi K2 is so good at tool calling and agentic loops, can call multiple tools in parallel and reliably, and knows "when to stop", which is another important property. It's the first model I feel comfortable using in production since Claude 3.5 Sonnet.
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Training on raw internet data without filtering risks
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They just unconditionally trained on the entire raw data of the internet, there was no cleaning or selection at all. You don’t fix this with prompting, it may require an entire new run.
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Build a GraphRAG Chatbot with SurrealDB and LangChain
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GraphRAG Chatbot Tutorial Build a powerful GenAI chatbot combining vector search and graph knowledge with SurrealDB and LangChain. This health symptoms demo shows how GraphRAG delivers more contextual AI responses. Learn to build your own GraphRAG chatbot