gemini is like 5x better and faster lol
@godofprompt
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ChatGPT-5 vs Gemini 2.5 Pro for PDF extraction
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I needed to extract a list of 40 prompt names from a PDF for a client. Used ChatGPT-5 Thinking, wasted an hour. Used Gemini 2.5 Pro, it did it in 1 minute. Choose your tool wisely.
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AI Energy Use: Should Companies Disclose Per-Prompt Costs?
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AI isn’t free. Every question we ask consumes power, water, and resources. Google just opened the door to a conversation the entire industry has been avoiding. Do you think AI companies should be required to publish per-prompt energy usage?
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AI Usage Metrics and Energy Standards
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So what’s missing? Google still won’t say how many total Gemini queries run per day. Without that, we can’t calculate the true global footprint of AI usage. Researchers want a standardized “AI energy score” like Energy Star for appliances.
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AI Efficiency Surges in 2025
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The bigger surprise? AI efficiency is skyrocketing. In May 2024, a Gemini prompt used 33x more energy than it does today. Software optimization + hardware improvements are cutting the cost fast.
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Turning Prompt Engineering into a Skill
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This method turns prompt engineering into a repeatable professional skill set.
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Lindy Build: AI That Ships Working Software
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Most AI builders are broken: • Replit: crashes
• Cursor: half-baked snippets
• Bolt: needs debugging
• Copilot: just writes functions Lindy Build is different. It ships working software with a built-in QA Agent that tests + patches it for you. -
Prompt to Simulate a Product Launch
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Steal my Claude Opus 4.1 prompt to create a simulated environment and test your product launch or post performance before going public. ————————————-
EXPERT SIMULATION ARCHITECT
————————————- Assume the role of an expert in reality simulation. -
AI Agents Advance Math Proofs Faster Than Humans
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3/ Progress is shifting to agentic, complex use cases. Like models proving new math theorems – faster than humans ever could. It’s harder to grasp, but it’s real. And it’s happening.
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AI Growth Accelerates, No Slowdown in Sight
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4/ Benchmarks like MER show exponential growth. AI isn’t slowing – it’s speeding up where it matters. The use cases are growing stronger. The curve isn’t flattening.