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Prompt engineering Flash News List | Blockchain.News
Flash News List

List of Flash News about Prompt engineering

Time Details
2025-09-04
13:03
AI Grid 2025: Trading Playbook for Compute Centers, API ‘Power Lines,’ and Prompt ‘Switches’ — Crypto Market Implications

According to @LexSokolin, the AI grid is being built now, with compute centers as the new power plants, API calls as the new power lines, and prompts as the new switches, highlighting where infrastructure value may concentrate, source: @LexSokolin. According to @LexSokolin, this framing directs traders to focus on capacity, throughput, and reliability at the compute, API, and prompt layers when constructing exposure, source: @LexSokolin. According to @LexSokolin, the call to “bet accordingly” implies positioning in the infrastructure stack rather than purely application-layer bets as the intelligence “electrification” proceeds, source: @LexSokolin. According to @LexSokolin, crypto market participants can map this thesis to infrastructure-aligned themes that mirror power plants, grids, and switches, focusing on decentralized compute, data, and interface layers that align with the buildout he describes, source: @LexSokolin.

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2025-09-02
19:35
Miles Deutscher Releases 2025 AI Prompting Guide: 2 Years of Daily Use to Level Up Outputs for Traders

According to Miles Deutscher, he released a short AI prompting guide distilled from two years of daily AI use and framed prompting as the most valuable skill in 2025 for leveling up outputs (source: Miles Deutscher on X, September 2, 2025). For crypto and stock traders using AI in research and execution, applying the guide’s prompting techniques can improve response quality and speed in market scanning, on-chain research writeups, and report drafting, aligning with the author’s stated goal to enhance outputs (source: Miles Deutscher on X, September 2, 2025).

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2025-07-22
18:01
Crypto Analyst Miles Deutscher Reveals High-ROI Strategy Using Grok AI and Notion for Trading

According to Miles Deutscher, traders and analysts can achieve a 'high-ROI' by creating a 'prompt library' for AI tools. He suggests a workflow where users can have the AI model Grok interpret text from images of prompts, and then save these organized prompts in a database like Notion for future use. For traders, this method can streamline the process of research and analysis by having a ready-to-use library of effective prompts for market data, sentiment analysis, or strategy formulation, thus enhancing efficiency and potential profitability.

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