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Scaling laws evolve beyond Chinchilla assumptions · Multi-agent orchestration patterns for production systems · Gemini Ultra vision: benchmark vs. real-world performance · Attention-free transformers challenge the dominant architecture · AI hiring market bifurcates: frontier labs vs. enterprise · Fine-tuning Llama 3 in 2026: the complete guide · Claude extended thinking: mapping the reasoning patterns · RAG pipelines in production: what still breaks in 2026Scaling laws evolve beyond Chinchilla assumptions · Multi-agent orchestration patterns for production systems · Gemini Ultra vision: benchmark vs. real-world performance · Attention-free transformers challenge the dominant architecture · AI hiring market bifurcates: frontier labs vs. enterprise · Fine-tuning Llama 3 in 2026: the complete guide · Claude extended thinking: mapping the reasoning patterns · RAG pipelines in production: what still breaks in 2026

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Large language models

Everything about LLMs — from architecture breakthroughs and scaling laws to practical deployment, fine-tuning, and benchmarks that actually matter.

2 articles

Claude 3.5's Extended Thinking: A Deep Dive Into How It Reasons

Claude 3.5's Extended Thinking: A Deep Dive Into How It Reasons

Anthropic's extended thinking mode gives Claude a genuine scratchpad for multi-step reasoning. We mapped how it actually uses that scratchpad — and found surprising patterns.

Apr 10, 2026·3 min read

Scaling Laws in 2026: What GPT-4o Taught Us About the Limits of Scale

Scaling Laws in 2026: What GPT-4o Taught Us About the Limits of Scale

The Chinchilla era assumed compute and data scale together. GPT-4o's architecture changes that assumption — and the implications reach further than most realize.

Apr 8, 2026·2 min read