Joined August 2025
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Most AI websites answer: Which model is best? Almost none answer: How do I actually build with it? ModelRefs exists to solve that problem.
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Stop guessing which AI model to use for coding. We ranked every major model by real coding benchmarks — not vibes. The gaps are bigger than you think. 👇 modelrefs.com/rankings/best-… #AIEngineering #LLM #CodingAI #DevTools
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Anthropic just dropped Claude Fable 5 their first broadly available Mythos-class model! SOTA on nearly every benchmark, crushes long-horizon coding & knowledge work, with built-in safeguards for safe general use. Paired with restricted Mythos 5 for cyber defenders. The frontier just leveled up.
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Most prompt libraries are garbage. Ours are production-grade, model-specific, and rated for reliability. What prompt pattern do you reuse most? (Chain-of-Thought, ReAct, etc.) modelrefs.com/prompts/patter… #prompts #AIEngineering #LangGraph #Workflows
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The AI model you pick today can make or break your project. I compared Gemini 3.1 Pro vs GPT-5 on a real RAG task (10k token docs retrieval tool use). Results? One dominated on cost long context. The other won on coding depth and agent reliability. Full breakdown thread hand👇
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What RAG / agent / coding task are you struggling with right now? Drop it below — I’ll run a quick comparison and share results. We just launched and want real builder feedback. Early users get priority. @swyx @dair_ai @LangChainAI @levelsio @amasad #AI #LLM #RAG #BuildInPublic
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The AI ecosystem isn't suffering from a lack of models. It's suffering from a lack of context. Today you can choose from: • 1000 models • Hundreds of providers • Dozens of benchmarks • Infinite opinions But almost nowhere explains how everything connects. That's why we built ModelRefs. AI Implementation Intelligence. #AI #LLM #GenAI
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Most AI websites answer: Which model is best? Almost none answer: How do I actually build with it? ModelRefs exists to solve that problem.
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Models. Providers. Categories. Workflows. Tutorials. Benchmarks. Implementation paths. Connected. Structured. Searchable.
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Our belief: The future winners won't be the people who know the most models. They'll be the people who know how to connect them into working systems. That's the mission behind ModelRefs. modelrefs.com #AI #LLM #GenAI #MachineLearning
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"AI has benchmark platforms. AI has model hubs. AI has inference providers. What AI doesn't have is a Reference Layer. That's what we're building at ModelRefs."
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GPT-5 delivers stronger reasoning performance than previous generations, but the trade-off may be increased latency depending on workload.
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