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𝗝𝘂𝘀𝘁 𝗳𝗶𝗻𝗶𝘀𝗵𝗲𝗱 𝗔𝗻𝗱𝗿𝗲𝗷 𝗞𝗮𝗿𝗽𝗮𝘁𝗵𝘆’𝘀 𝗯𝗿𝗲𝗮𝗸𝗱𝗼𝘄𝗻 𝗼𝗳 𝘄𝗵𝗲𝗿𝗲 𝗔𝗜 𝗶𝘀 𝗴𝗼𝗶𝗻𝗴. Here's a clear breakdown — no fluff, just what builders need to know: 𝟭. 𝗣𝗿𝗼𝗺𝗽𝘁𝘀 𝗮𝗿𝗲 𝘁𝗵𝗲 𝗻𝗲𝘄 𝗰𝗼𝗱𝗲 We’ve moved from writing code (1.0) → training models (2.0) → now giving prompts (3.0). → 𝐏𝐫𝐨𝐦𝐩𝐭𝐢𝐧𝐠 𝐢𝐬 𝐛𝐞𝐜𝐨𝐦𝐢𝐧𝐠 𝐭𝐡𝐞 𝐧𝐞𝐰 𝐰𝐚𝐲 𝐰𝐞 𝐛𝐮𝐢𝐥𝐝 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞. 𝟮. 𝗟𝗟𝗠𝘀 𝗮𝗿𝗲 𝗺𝗼𝗿𝗲 𝗹𝗶𝗸𝗲 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝘁𝗵𝗮𝗻 𝘁𝗼𝗼𝗹𝘀 They’re expensive, hard to replace, and become part of your stack once integrated. → 𝐓𝐡𝐢𝐧𝐤 𝐨𝐟 𝐭𝐡𝐞𝐦 𝐥𝐢𝐤𝐞 𝐜𝐥𝐨𝐮𝐝 𝐬𝐞𝐫𝐯𝐞𝐫𝐬 — 𝐧𝐨𝐭 𝐬𝐢𝐦𝐩𝐥𝐞 𝐚𝐩𝐩𝐬. 𝟯. 𝗧𝗵𝗲 𝗰𝗹𝗼𝘂𝗱 𝗶𝘀 𝘆𝗼𝘂𝗿 𝗻𝗲𝘄 𝗰𝗼𝗺𝗽𝘂𝘁𝗲𝗿 LLMs run in the cloud, not on your device. You just type in prompts like commands. → 𝐓𝐡𝐞 𝐜𝐡𝐚𝐭 𝐰𝐢𝐧𝐝𝐨𝐰 𝐢𝐬 𝐭𝐡𝐞 𝐧𝐞𝐰 𝐭𝐞𝐫𝐦𝐢𝐧𝐚𝐥. 𝟰. 𝗟𝗟𝗠 𝗮𝗱𝗼𝗽𝘁𝗶𝗼𝗻 𝗶𝘀 𝗵𝗮𝗽𝗽𝗲𝗻𝗶𝗻𝗴 𝗯𝗮𝗰𝗸𝘄𝗮𝗿𝗱𝘀 Most tech goes from big companies to consumers. LLMs went from consumers → companies → governments. → 𝐓𝐡𝐚𝐭’𝐬 𝐰𝐡𝐲 𝐫𝐞𝐠𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐦𝐨𝐝𝐞𝐥𝐬 𝐥𝐨𝐨𝐤 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭 𝐭𝐡𝐢𝐬 𝐭𝐢𝐦𝐞. 𝟱. 𝗟𝗟𝗠𝘀 𝗮𝗰𝘁 𝗹𝗶𝗸𝗲 𝗵𝘂𝗺𝗮𝗻𝘀, 𝗯𝘂𝘁 𝘁𝗵𝗲𝘆’𝗿𝗲 𝗻𝗼𝘁 They sound smart, but they don’t think, remember, or truly understand. → 𝐔𝐬𝐞 𝐭𝐡𝐞𝐦 𝐥𝐢𝐤𝐞 𝐩𝐨𝐰𝐞𝐫𝐟𝐮𝐥 𝐚𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭𝐬, 𝐧𝐨𝐭 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧-𝐦𝐚𝐤𝐞𝐫𝐬. 𝟲. 𝗔𝗜 𝘄𝗼𝗿𝗸𝘀 𝗯𝗲𝘀𝘁 𝘄𝗵𝗲𝗻 𝗶𝘁 𝗵𝗲𝗹𝗽𝘀, 𝗻𝗼𝘁 𝗿𝗲𝗽𝗹𝗮𝗰𝗲𝘀 The biggest opportunity is partial automation — copilots, verifiers, boosters. → 𝐓𝐡𝐢𝐧𝐤 𝐈𝐫𝐨𝐧 𝐌𝐚𝐧 𝐬𝐮𝐢𝐭, 𝐧𝐨𝐭 𝐫𝐨𝐛𝐨𝐭 𝐫𝐞𝐩𝐥𝐚𝐜𝐞𝐦𝐞𝐧𝐭. 𝟳. 𝗦𝘁𝗮𝗿𝘁 𝘀𝗺𝗮𝗹𝗹 — 𝘂𝘀𝗲 𝗔𝗜 𝗳𝗼𝗿 𝘀𝗶𝗺𝗽𝗹𝗲 𝘁𝗮𝘀𝗸𝘀 Karpathy calls this “vibe coding” — let AI help with small, low-risk parts. → 𝐊𝐞𝐞𝐩 𝐢𝐭 𝐢𝐭𝐞𝐫𝐚𝐭𝐢𝐯𝐞. 𝐀𝐯𝐨𝐢𝐝 𝐛𝐥𝐚𝐜𝐤-𝐛𝐨𝐱 𝐚𝐠𝐞𝐧𝐭𝐬 𝐟𝐨𝐫 𝐧𝐨𝐰. 𝟴. 𝗗𝗲𝗽𝗹𝗼𝘆𝗶𝗻𝗴 𝗶𝘀 𝘀𝘁𝗶𝗹𝗹 𝘁𝗵𝗲 𝗵𝗮𝗿𝗱 𝗽𝗮𝗿𝘁 Code generation is easy. Deploying it is painful — slow, manual, and outdated. → 𝐃𝐞𝐯𝐎𝐩𝐬 𝐢𝐬 𝐬𝐥𝐨𝐰𝐢𝐧𝐠 𝐭𝐡𝐢𝐧𝐠𝐬 𝐝𝐨𝐰𝐧 — 𝐰𝐞 𝐧𝐞𝐞𝐝 𝐛𝐞𝐭𝐭𝐞𝐫 𝐭𝐨𝐨𝐥𝐬. 𝟵. 𝗪𝗲 𝗻𝗲𝗲𝗱 𝗻𝗲𝘄 𝘀𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝘀 𝗳𝗼𝗿 𝗔𝗜 𝗮𝗽𝗽𝘀 Just like websites have robots.txt, AI tools will need things like llms.txt, better prompt tools, and context systems. → 𝐓𝐡𝐞 𝐞𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦 𝐢𝐬 𝐞𝐚𝐫𝐥𝐲 — 𝐧𝐨𝐰’𝐬 𝐭𝐡𝐞 𝐭𝐢𝐦𝐞 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝. 𝟭𝟬. 𝗔𝗴𝗲𝗻𝘁𝘀 𝘄𝗶𝗹𝗹 𝗱𝗲𝗳𝗶𝗻𝗲 𝘁𝗵𝗲 𝗻𝗲𝘅𝘁 𝗱𝗲𝗰𝗮𝗱𝗲 From 2025 to 2035, expect a rise in AI agents — but not as robots. → 𝐓𝐡𝐞𝐲’𝐥𝐥 𝐥𝐢𝐯𝐞 𝐢𝐧𝐬𝐢𝐝𝐞 𝐲𝐨𝐮𝐫 𝐚𝐩𝐩𝐬, 𝐪𝐮𝐢𝐞𝐭𝐥𝐲 𝐝𝐨𝐢𝐧𝐠 𝐰𝐨𝐫𝐤. 𝟭𝟭. 𝗖𝘂𝗿𝘀𝗼𝗿 𝗮𝗻𝗱 𝗣𝗲𝗿𝗽𝗹𝗲𝘅𝗶𝘁𝘆 𝘀𝗵𝗼𝘄 𝘁𝗵𝗲 𝗱𝗶𝗿𝗲𝗰𝘁𝗶𝗼𝗻 These tools don’t try to do everything — they just make you better and faster. → 𝐓𝐡𝐚𝐭’𝐬 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞: 𝐬𝐦𝐚𝐫𝐭, 𝐟𝐨𝐜𝐮𝐬𝐞𝐝 𝐀𝐈 𝐭𝐨𝐨𝐥𝐬. That's it.