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💡An Idea to Change the Game for AI Startups: Making AI Processing Faster, Cheaper, and Effortless Running AI models like ChatGPT, DALL·E, or AlphaCode is a computing monster—they need massive power to function, which makes them expensive to operate

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Soumya

Stealth • 14d

The Solution: What if we could share the load? Think of it like cryptocurrency mining, but instead of mining coins, we’re using spare computing power to run AI models. By spreading the processing across a global network of unused resources, we can cut the costs and time it takes to run these heavy models. Why People Will Use It: Startups and developers can tap into affordable AI power without breaking the bank. Just like miners contribute to verifying blockchain transactions, anyone can lend their idle computing power to handle AI tasks. In return, users get faster results at a fraction of the cost! Mining Analogy: Just like crypto mining, where people lend computing power to validate transactions and earn rewards, our platform lets people share their unused computing resources to run AI tasks. Instead of earning coins, they’re helping to run AI models faster and cheaper. This decentralized power brings efficiency and affordability to AI, so anyone can use it—without the huge cost.

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Soumya

Stealth • 14d

💡An Idea to Change the Game for AI Startups: Making AI Processing Faster, Cheaper, and Effortless Running AI models like ChatGPT, DALL·E, or AlphaCode is a computing monster—they need massive power to function, which makes them expensive to operate

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Inactive

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Could AI workload processing be the new crypto mining? Some companies think so, offering ways to earn by lending your GPU power for AI tasks, just like the old crypto mining days. Key points: - Services like Salad pay users to contribute their GP

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The Scaling Laws are doubling the power of AI systems every 6 months, leading to an intelligence revolution and a golden age of computing. ~ Satya Nadella

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Your smartphone has more computing power than the computers used to send astronauts to the moon.#techprogress #techinnovation #mindblowingtech #techevolution #fromthemoontopalms

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Anonymous

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🦾AI model training comes with significant costs. This chart highlights the estimated expenses for training top AI models like Google’s Gemini 1 and OpenAI’s ChatGPT-4 in 2023. These costs, calculated using both cloud computing and amortized hardware

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Mr Z

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Krutrim, the AI startup founded by Ola Cabs' CEO Bhavish Aggarwal, plans to design, build, and launch its first AI chip by 2026:🇮🇳 Bodhi 1 (For AI): 2026 Bodhi 2 (For AI): 2028 Sarv 1 (General computing): 2026 Ojas (Edge computing): Date not re

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Venkat Ragavan

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People..decentralized is sure future backable with nuclear power quantum computing bc so on and ai agi.. india is taking advantage by not allowing is indias problem not to help inside players.. dive into breakable transactions wallet building tokens

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Which technology, semiconductor or quantum computing, is expected to have a greater impact on AI development in the future?

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