The model needs some recursive tape to perform variable-length symbolic computations. You could do this with activations, but it's somewhat nice to be able to read the trace. Then we need it to actually move purposefully, and use that tape well.
CODE
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Export your data and transfer to another LLM
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But you can. Check settings – Data – Export Data. You can also export said data as a zip file and upload to the memory of another LLM
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The AI-driven Cambrian explosion in software development
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Picture the Cambrian explosion in software when it no longer has to be written by software engineers.
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OAuth Token Optimization and Cache Miss Challenges in Agent Harnesses
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I think this is why using the OAuth token with other agent harnesses isn't great – they do not do the same optimizations that Anthropic is doing (like figuring out all the compaction edge cases). My hunch is that those unoptimized harnesses cause cache misses, which end up
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Accelerating product development through AI-driven coding workflows
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It really should – why spend endless hours of meetings and product review when you can just build the damn thing in 2 hours
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Comparing LLMs for creative orchestration and code generation
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I find Claude to be best for creative thinking and orchestration — like codex 5.3 and Gemini 3.1 to write the code
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Expanding data sources and VLM integrations for AI development
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For sure! I want to add a bunch more data sources and an VLM integrations
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Agentic RAG Chatbot for Secure Medical Data Retrieval
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Building an agentic RAG chatbot for closed source medical data retrieval with high sensitivity for data privacy. What tools do you suggest?
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Server-Side Tool Call Schema Validation Best Practices
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Not obvious, no. In fact OpenAI already does it correctly server side. There's no reason for a provider to not do this. Or to at least document that tool call schemas are merely a suggestion.
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Client-side fix implemented in Lisette and Claudette
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It's also fully fixable on the client side (which we've done in Lisette and Claudette).