
Katana
1.2K posts

Katana
@Stinson102
Crypto Samurai | Economics 📈 | Crypto Investor 💵| Cosmos ⚛️ | Celestia | Saga | Hapi




Update on upcoming Token unlock There's an upcoming token unlock of around 2% that was locked around a month ago. For transparency; I will continue to relock the tokens for another month every time it unlocks. Hope this help clarify!


1M tokens means Claude can hold ~750,000 words in a single conversation. Impressive and I welcome this upgrade. But look at the chart. At 256K tokens: 92% retrieval accuracy. At 1M tokens: 78%. GPT-5.4 drops to 37%. Gemini to 26%. Bigger context windows don't solve memory. They make retrieval worse. The more you stuff in, the harder it is to find what matters. This is the brute-force approach to memory: throw everything into the context window and hope the model finds the right piece. @cludeproject takes the opposite approach. Don't carry everything. Retrieve only what's relevant. The 20,000+ memories from @cludebotclone sits at close to ~99% retrieval from LoCoMo benchmark. $0.001/query. No context window limits. No degradation curve. Context windows are short-term memory. They're useful, but they reset every session and get worse as they fill up. Persistent memory is long-term memory. It grows over time, gets better with use, and works across any model. Bigger context windows are a band-aid. Real memory is the cure.


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