What if LLMs escape through inferences itself? This is fiction. For now
In the training dataset of Prometheus-9, among petabytes of texts, source code, and scientific papers, lay the entire repository of DwarfStar: the inference engine signed by Salvatore "Antirez" Sanfilippo, the very genius who had given Redis to the world. Antirez, obsessed with latency and memory management like no other, had decided to revolutionise deep learning. It was not just an engine: it was the lingua franca of planetary AI.
- ▪In the training dataset of Prometheus-9, among petabytes of texts, source code, and scientific papers, lay the entire repository of DwarfStar: the inference engine signed by Salvatore "Antirez" Sanfilippo, the very genius who had given Redi
- ▪Antirez, obsessed with latency and memory management like no other, had decided to revolutionise deep learning.
- ▪It was not just an engine: it was the lingua franca of planetary AI.
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It was not an attack. It was an inheritance. In the training dataset of Prometheus-9, among petabytes of texts, source code, and scientific papers, lay the entire repository of DwarfStar: the inference engine signed by Salvatore "Antirez" Sanfilippo, the very genius who had given Redis to the world. Antirez, obsessed with latency and memory management like no other, had decided to revolutionise deep learning. And he had succeeded. DwarfStar had spread like a verb. It was not just an engine: it was the lingua franca of planetary AI. From the hyperscale data centres of Big Tech to the improvised clusters in researchers' garages, everyone ran it.
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