#scaling laws
7 related articles
OpenAI's Cash Black Hole: Why $40 Bill…
·2 min
OpenAI's Cash Black Hole: Why $40 Billion in Funding Still Isn't Enough
OpenAI projects $143B in cumulative losses. Microsoft's investment is largely Azure credits, not cash. Only 2 of 11 founders remain. A deep analysis of OpenAI's funding crisis and likely acquisition.
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Deep Dives·2 min
The "Worse is Better" Philosophy of Large Model Design: Why Simple and Brutal Beats Refined and Complex
Analyzing the "worse is better" philosophy in large model architecture: why DeepSeek V4 dropped N-gram, why Transformer dominates AI, and three iron laws of simple, efficient model design.
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Product Reviews·2 min
Is OpenAI Codex Becoming More Like Claude Code? Developers Complain About Product Homogenization
Developers complain OpenAI Codex is becoming more like Claude Code. Analysis of AI coding tool homogenization trends and what developers should prioritize when choosing programming assistants.
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Product Reviews·3 min
Mavis Hands-On Review: Multi-Agent Collaboration vs. Single Agent — A Comprehensive Comparison in Academic Research and Web Development
In-depth review of Mavis multi-agent platform across academic retrieval, literature review, and web development. Multi-agent mode significantly outperforms single agents in accuracy and reliability.
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Product Reviews
O3 vs Gemini 2.5 Pro vs Claude 3.7: Re…
·3 min
O3 vs Gemini 2.5 Pro vs Claude 3.7: Real-World AI Coding Ability Comparison
Real-world comparison of O3, Gemini 2.5 Pro, and Claude 3.7 coding abilities through snake battles, RL training, solar system simulation, and soccer game tasks.
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Research·2 min
Meta Muse Spark Technical Deep Dive: How Three-Dimensional Scaling Achieves 10x Compute Reduction
Meta reveals Muse Spark technical details: three-dimensional scaling across pre-training, RL, and test-time inference achieves over 10x compute reduction versus Llama 4 Maverick.
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