En los artículos de investigación sobre finanzas tradicional | Prithvir en Binance Square

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En los artículos de investigación sobre finanzas tradicionales me llaman capital intangible
y monedas culturales intersubjetivas en los documentos técnicos sobre criptomonedas.
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simple competence gauge = response time interval how long do they pause before answering questions? for each question: 1. no pause -> quick answer 2. long pause -> slow answer if they consistently do (1), they're shallow thinkers. if they consistently do (2), they're probably stupid. if they mix up the two depending on the question, they likely demonstrate some cognitive effectiveness. surprisingly, response time interval is pretty difficult to game without appearing phony.

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Deciding which blockchain to deploy on first

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o1 is at least 10x better than 4o at writing code, but I can’t tell if it’s taking too long to load or if my attention span is cooked.

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I wouldn’t sleep on FOCGs just yet. The Atari 2600 was garbage compared to arcade machines. But it landed in living rooms and flipped the script on monetization. Mobile games did the same thing. They were underpowered next to desktop games, but they forged new bonds b/w devs and players. That was a game-changer, even with tiny screens. Now there are Fully Onchain Games (FOCGs). They’re clunky and not as slick as regular games. But they open doors to fresh capital and economic experiments we haven’t fully explored yet. If history teaches us anything, it’s that the platform with worse specs can still upend the market by changing the rules.

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10 Lessons from Prompt Engineering Our apps have scaled to tens of thousands of users, tracking billions of dollars of onchain assets. Here are my lessons on using prompt engineering: 👇🏻 1. Don’t ask AI to build a whole application. Break the request into smaller chunks. - Start with a single component. - Don't ask it to generate a page. Request a subsection of a page. - Don’t ask it to develop an entire feature. First, have it create a sub-feature. 2. Provide clear guidelines on theme and style. - Include screenshots and working code. - Use examples. Show what a good output looks like. - The more specific, the better. 3. Specify the format you want (e.g., Markdown, JSON, TypeScript, etc.). 4. Set constraints. - Word limit - Performance requirements - Design principles 5. Iterate. Give feedback and refine until it’s right. Context windows are limited, but short-term memory is no longer an issue. 6. Leverage system messages. Define roles (e.g., “You are an expert UI designer”). 7. Ask for step-by-step reasoning. This improves accuracy. In 2025, the prompt engineering skillset variance will increase exponentially. The variance in software engineering will further increase as well. What are some techniques that have helped you guys improve your prompts? @crypto_linn220, @cryptogideon_125, @cryptomanran544, @dynamo_patrick230, @hmalviya9193, @jake_pahor137, @krybharat469, @milesdeutscher428, @rektdiomedes236, @saushank_123, @the_smart_ape123, @thedefiplug106

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