actually not sure. i’m using gemini
LLMS
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GPT-5 with Bing Search: The New Search Engine Standard
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For nearly three years the advice to "never use ChatGPT for search" has been sensible and justified… we need to retire that now GPT-5 with Bing search is a spectacularly useful search engine
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Maximizing GPT-5 Search: Tips and Best Practices
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Here's my article, which also includes tips on getting the most out of GPT-5 search
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GPT-5 Thinking Research Goblin Demonstrates Powerful Search Capabilities
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I wrote about how shockingly effective GPT-5 Thinking is at using its Bing-backed search tool, illustrated with 8 examples from the last 48 hours I've started calling it my Research Goblin
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Groq’s Model Delivers Sonnet 4 Performance at 4-8X Speed
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"Feels like sonnet 4, but literally ~4-8X faster."
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StepWiser: Stepwise Generative Judges for Wiser Reasoning
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What if we apply RL+Reasoning into PRMs? StepWiser: Stepwise Generative Judges for Wiser Reasoning STEPWISER trains a CoT-based judge that checks whether each “chunk-of-thought” helps solve the problem, producing better step labels and stronger search than discriminative PRMs
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Google Engineer Releases Free Agentic Design Patterns Book
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This Google engineer just released a 424-page free book on Agentic Design Patterns. Covers advanced prompt engineering, multi-agent frameworks, RAG, agent tool use and MCP. 100% free with practical code examples.
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Core Building Blocks of Large Language Models Explained
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Core Building Blocks of LLMs Prompt Engineering → Zero/Few-shot, Role-based, System Messages, RAG Integration, Chain of Thought Model Architecture → Layers, Residual Connections, Positional Encoding, Attention Training Data → Web Text, Code Repos, Academic
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140th LLM Release Covered on Technology Blog
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Just noticed this it the 140th LLM release I've written about in my blog!
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Kimi K-2.1: Moonshot’s Upgraded Open Weights Model
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My notes on Kimi-K2-Instruct-0905, aka Kimi K-2.1 – an incremental improvement on Moonshot's previous trillion parameter open weights model, now with twice the context length (256k up from 128k)