I made the previous dsh-topic-desk independently into a desktop version
Topic Desk Studio - a local-first hot spot discovery, trend tracking and creative topic selection tool that provides topics and information for X creators. It no longer relies on DeepSeek Harness, the data is saved directly in native SQLite, and currently has 49 built-in public data sources, covering multiple domestic and foreign platforms. Support: ①…
Union alpha (unbiased pareto) vs deepseek v4.1 flash vs muse spark 1.3 – three paintings in three.js
The setup: one four-line prompt plus the painting as an image, through openrouter. no agent loop, no renders, no feedback – the model writes one html file blind and we open it.
By now you've probably seen Jev on your timeline.
Yes, it's an insanely fast & cheap model. But how does it compare against GPT-6 Astra, Fable 5.1, and Deepseek v4.1 Flash? In this video I compare it against top LLMs on 4 distinct tasks. Did it win? Or did it lose? Let's
Use Kaggle's free GPU to run the inference model DeepSeek with one click without queuing, with a 30-hour quota per week.
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