If you can just trivially create synthetic data from one language to the other, then that's not a new concept of a programming language, just a remapping. No need to retrain the LLM, just use a tool-calling LLM.
LLMS
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Data Processing Intelligence and Synthetic Learning in AI Algorithms
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Yes. First there’s still the need of processing the data intelligently, and data keeps growing (billions of videos per year). Second, many algorithms can exploit the environment and other agents to learn from growing synthetic data, eg DeepSeek-zero learning math.
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Qwen3 PyTorch Implementation and Mac Assistant Recommendations
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For a Qwen3 pure PyTorch implementation: https://
github.com/rasbt/LLMs-fro
m-scratch/tree/main/ch05/11_qwen3
… For an (coding) assistant on Mac: probably ollama (with gpt-oss or Qwen3-Coder depending on your RAM situation) -
GPT 5 Pro Thinking Traces: Patterns and Usefulness Analysis
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OK, let me see. How GPT 5 Pro shows its thinking traces is interesting. I am working through how useful they are and what patterns they follow. นี่เป็นภาษาไทยเพราะเหตุผลบางอย่าง. I am considering whether anyone is going to get the joke.
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KAT-Dev-32B: 32B Model Achieves 62.4% on SWE-Bench Verified
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KAT-Dev-32B 32B-parameter model for software engineering tasks On SWE-Bench Verified, KAT-Dev-32B achieves comparable performance with 62.4% resolved and ranks 5th among all open-source models with different scales vibe coded a quick chat app in anycoder
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LLM Knowledge Assessment for College Exams
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This should somehow make it into college exams to check whether you pass the LLMs 101 class
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Pre-training and Fine-tuning Share Same Function in LLM Book
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Fun fact: In my Build A Large Language Model From Scratch book, I reused the pre-training function for the supervised instruction fine-tuning chapter to show this as clearly/intuitively as possible. Only the dataset (structure) changes.
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Machine Code as Universal Programming Standard: LLM Capabilities
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Hm, if we assume that all programming languages ultimately run machine code, then we already have that scenario where things are standardized. You have Python on the one end, Assembly on the other hand. You could ask LLMs to write machine code today, but it won’t be as good as
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Jules by Google to get Memory feature soon
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Jules by Google is about to get Memory soon! As well as a new file selector in the prompt composer. "Enable memories to let Jules use context from your past tasks to improve its responses"