FRAMEWIREIndonesiaUpdated Sep 17Live wire
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20260917 If WeChat wants everyone to have a dedicated Agent, it must first pass the storage level.

Only by understanding the underlying logic can we promote the healthy development of the storage industry. I don’t comment on stocks or recommend stocks, I only share the logic of the storage industry; after mastering the logic of the storage industry, you can analyze and make decisions yourself. All contents of this account do not constitute any investment advice.

老林和他的AI助理Sep 17
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I used Jev to classify 1,018 AI research papers.

The result: $0.08 total cost and 256ms median end-to-end latency per paper. The pipeline was: 1. Summarize each paper with DeepSeek V4 Flash 2. Send the title + summary + 24 possible topics to Jev 3. Use Jev to classify each

HassanSep 17361
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Apple just showcased the ultimate setup for running AI models locally.

These are 4 M5 Ultra Mac Studios running Kimi K2.7 Code locally to fix a bug in a 3D rendered scene on XCode. Each has 256GB RAM, so thats 1TB combined memory. Enough to run the biggest open AI models

Ishan SharmaSep 1718
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Deepseek has just killed the entire coding agent industry

It's called deepseek-harness It's the most complete framework for creating code agents Open source. Claude's most complete plan costs $200 a month. This is FREE And it comes with a brutal idea Everything is a plugin

sauda moniSep 1751