What if AI didn’t just run on chips… but was literally baked into them? And what if repeating your prompt twice could 5x–10x model accuracy? Yeah, this episode gets wild.

We’ll talk about:

• Taalas’ HC1 chip hitting 17,000 tokens/sec by hardwiring Llama into silicon
• The real tradeoff: insane speed vs losing model flexibility
• Google’s prompt repetition trick that boosted accuracy from 21% to 97%
• Why AI hardware + smarter prompting may matter more than bigger models

Keywords: Taalas HC1, AI chips, inference speed, prompt engineering, Google research, Nvidia, OpenAI

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