Oh My! I just built a new RL-native system with 2.6k parameters that matches a specialized 62B model from a 2024 paper, specifically on GSM8k. That's over 20,000,000x smaller than the baseline — but the approach is so different the traditional comparison doesn't make sense? 😉
MACHINE LEARNING
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Technical Comparison of Claude and ChatGPT Memory Architectures
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someone just reverse-engineered claude's memory system and it's nothing like chatgpt's. turns out most people think AI memory works the same way everywhere. not really. chatgpt pre-computes summaries and injects them into every single prompt. convenient. predictable. always
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Try Genspark, ChatGPT, or Google Gemini
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Have you tried Genspark or ChatGPT? Google Gemini should work too, Amongst others
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RouteRAG: Adaptive Retrieval for Multi-Hop Reasoning Systems
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Adaptive retrieval is the way to go! And this RouteRAG paper shows why. Let's talk about it: RAG systems have a retrieval problem. The default approach to multi-hop reasoning today relies on fixed retrieval pipelines. It typically involves fetching text + maybe graph data, and
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Budget-Aware Tool-Use Enables Effective Agent Scaling
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Budget-Aware Tool-Use Enables Effective Agent Scaling Liu et al.: https://
arxiv.org/abs/2511.17006 #ArtificialIntelligence #DeepLearning #MachineLearning -

Analyst Consensus Index Built with Claude AI for Bitcoin Prediction
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Built an Analyst Consensus Index from 246 curated analysts using Claude AI. 5-year backtest on Bitcoin: predicted the 2022 crash, 2023 rally, and this correction.
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Scobleizer: Xpeng’s autonomy not as smooth as Tesla’s
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Yeah he has no idea. We aren’t talking about Xpeng but Xpeng’s autonomy not nearly as smooth as teslas.
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Master AI Model Selection: Cost vs. Quality
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I master AI Model Selection: Balancing Cost and Quality
It helps meet your business goals effectively.
• Evaluate performance
• Control costs
• Ensure data quality Click below to read more: https://
godofprompt.ai/blog/ai-model-
selection-balancing-cost-and-quality
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Pre-trained Base Models Lacked Instruction-Following Capabilities
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Yeah, I guess that’s right. They were probably only pre-trained base models at that time and didn’t have good instruction-following abilities.
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How LLMs Download the Internet: Karpathy Explains
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Andrej Karpathy, Eureka Labs founder & former Director of AI at Tesla, breaks down how LLMs like ChatGPT "download the Internet."
— MIT CSAIL (@MIT_CSAIL) 14 décembre 2025
Watch the full beginner-friendly breakdown here: https://t.co/doph3alGnE pic.twitter.com/EaNowJhVdSAndrej Karpathy, Eureka Labs founder & former Director of AI at Tesla, breaks down how LLMs like ChatGPT "download the Internet." Watch the full beginner-friendly breakdown here: https://
bit.ly/4o13PTx
