does grok have concept of memory?
LLMS
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Stanford’s Coordination Layer Theory Challenges LLM AGI Bottleneck
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Are LLMs a dead end for AGI? Stanford's Edward Y. Chang argues the bottleneck isn't the model, but a missing "coordination layer." The new theory (UCCT) sees reasoning as a phase transition, moving from simple pattern-matching to goal-directed thinking. He built MACI, a
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DeepSeek’s Low-Cost AI Model Commoditizes Language Models
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In January, DeepSeek rocked the world with an advanced AI model that cost a fraction of what Western firms have spent on their models to make. I wrote about how low-cost models like DeepSeek's could result in large language models becoming a commodity:
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Reflecting on the transformative impact of ChatGPT
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ChatGPT was the first AI tool I used that I thought it got the potential of changing the world. And it literally did. It can before all the other AI models and tools and it literally changed everything.
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Using Gemini for Market Research and Data Analysis
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Don't use Perplexity or ChatGPT for market research. I tested Gemini 3.0 and it's on a whole different level for data analysis. Here are 5 prompts that turn it into your research team: (Comment "Gem" and I'll DM you my Gemini Mastery Guide for free)
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Understanding Nvidia Nemotron-3 Model Naming Convention
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Nvidia just dropped Nemotron‑3 — and yes, the names look complicated… but they actually tell a story.
— Satya Mallick (@LearnOpenCV) 19 décembre 2025
Take Nemotron‑3 Nano‑30B‑A3B‑FP8:
• Nemotron‑3 → 3rd gen family, smarter + more efficient
• Nano → smallest tier, optimized for deployment
• 30B → total parameters
•… pic.twitter.com/IPtbQEkQIBNvidia just dropped Nemotron‑3 — and yes, the names look complicated… but they actually tell a story.
Take Nemotron‑3 Nano‑30B‑A3B‑FP8:
• Nemotron‑3 → 3rd gen family, smarter + more efficient
• Nano → smallest tier, optimized for deployment
• 30B → total parameters
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Fine-tuning LLMs: The Continued Focus on Reinforcement Learning
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Their hit was fine-tuning LLMs (“RL”), and this is still that. (Even CoT came from Google.)
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Speculation on upcoming NotebookLM model updates
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Seems like NotebookLM is about to get a big upgrade soon. A new model selector would be a good fit over there too. Flash AI news
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Chain-of-Thought Monitorability for AI Safety
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New work on evaluating the quality of chain-of-thought monitorability. Chain-of-thought monitorability is a very encouraging opportunity for safety and alignment, making it easy to see what models are thinking:
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Monitor Capability and Chain-of-Thought Reading Enhance AI Performance
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What the monitor gets to read and the capability of the monitor matters. Stronger monitors that can read CoTs and use more test-time compute get much better fast. Also, post-hoc follow-ups (by asking the model to elaborate) often surface previously unspoken thoughts and boost