Sure! It was part of my state of LLMs 2025 article here:
LLMS
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Plain Instructions Work Better Than /plan Command
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Hm, yea. I completely forgot about /plan, 5.2 worked so well with plain instruction.
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Deep Learning Interview Questions: Complete Guide to Key AI Topics
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Deep Learning job interview questions, fully solved & covering a wide range of key AI topics: https://
bit.ly/4bv6FL9 credit: @papers_daily -
Practical Guide: Building AI Agents with LLMs, RAG, and Knowledge Graphs
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"Building AI Agents with LLMs, RAG, and Knowledge Graphs — A practical guide to autonomous and modern AI agents" See it at http://
amzn.to/4622k2h via @PacktDataML -
Book: Unlocking Data with Generative AI and RAG
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New updated 2nd Edition, by @keithbourne v/ @PacktDataML "Unlocking Data with Generative AI and RAG — Learn AI Agent Fundamentals with RAG-powered Memory, Graph-based RAG, and Intelligent Recall" Get the book here: http://
amzn.to/49zsIkb -
User experience comparing Codex 5.2 and 5.3 in plan mode
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anecdotally I’ve enjoyed the /plan mode w/ 5.3 codex quite a bit. long shot, but do you have a sample prompt where you enjoyed 5.2 over 5.3? (DMs open)
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Community reproduction confirms GPT-5.3-Codex token efficiency
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nice to see community repro of how token efficient GPT-5.3-Codex is! and we’re only getting started
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AI coding agents replacing manual initialization logic
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indeed what I find amusing is that you can encapsulate a lot of the logic from those billions of inits into single markdowns and codex or any other coding agent really would run with it like those never mattered in the first place
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Codex demonstrates impressive attention to detail capabilities
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codex is really impressively detail oriented
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Old-School Interpretability Methods for Large Language Models
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Old-School Interpretability for LLMs https://
buff.ly/VC4ScSD
#AI #MachineLearning #DeepLearning #LLMs #DataScience