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AI (LLMs) vs. Google Search They are not the same, and knowing the difference is crucial

Harper Carroll

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33,340 Aufrufe • vor 9 Monaten •via X (Twitter)

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you are collecting AI tools, like they are the skill they are not the tools are all sliding to the same place, by next quarter they are interchangeable what is not, is knowing which output is actually good and being willing to kill the rest the model makes ten versions, it cannot tell you which one to send

you are collecting AI tools, like they are the skill they are not the tools are all sliding to the same place, by next quarter they are interchangeable what is not, is knowing which output is actually good and being willing to kill the rest the model makes ten versions, it cannot tell you which one to send

Lagosaur

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WARP SPEED: EPISODE 5 - starring Varunram Ganesh, Founder of Lapis Varunram Ganesh The next generation of 20 year olds are going to default to LLMs for search. Varun is building Lapis into the most accurate AI search analytics platform. They are part of Y Combinator F25 - 1 day away from demo day with a countdown clock on his desk. The insight: people are already defaulting to ChatGPT over Google. As time goes on, more leveraged decisions get made through LLMs, not search engines. "So many people are searching on Google, they're going to be searching on ChatGPT. Why aren't people knowing where they are on ChatGPT?" Lapis tells you exactly what a human will search for your website to show up in AI. And unlike Google, it's not about ranking positions - LLMs reason differently. On Warp: "I don't even think about payroll. Which is just to say Warp is such a good product that I just don't think about it. No spam emails. No upsells. It's just so smooth." In this conversation: (0:00) - Shift from Google-style search to LLMs: “More leveraged decisions are now made through the LLM.” (0:15) - What Lapis does: the most accurate AI search analytics platform. (1:15) - YC intensity: six weeks from Demo Day, rapid feedback loops, constant customer conversations. (2:00) - “The hardest part of running a startup is the most boring stuff.” (2:41) - How AI search differs from Google search. (3:23) - Building a company through trust. (3:51) - “Every founder said, ‘Check out Gabriella Warp - a genuinely friendly solution. (4:02) - Big providers needed six weeks just to get set up. (4:20) - Texted Ayush and got set up in 15 minutes. (4:25) - Warp is so smooth you don’t think about payroll — no spam emails, no upsells, just seamless.

WARP SPEED: EPISODE 5 - starring Varunram Ganesh, Founder of Lapis Varunram Ganesh The next generation of 20 year olds are going to default to LLMs for search. Varun is building Lapis into the most accurate AI search analytics platform. They are part of Y Combinator F25 - 1 day away from demo day with a countdown clock on his desk. The insight: people are already defaulting to ChatGPT over Google. As time goes on, more leveraged decisions get made through LLMs, not search engines. "So many people are searching on Google, they're going to be searching on ChatGPT. Why aren't people knowing where they are on ChatGPT?" Lapis tells you exactly what a human will search for your website to show up in AI. And unlike Google, it's not about ranking positions - LLMs reason differently. On Warp: "I don't even think about payroll. Which is just to say Warp is such a good product that I just don't think about it. No spam emails. No upsells. It's just so smooth." In this conversation: (0:00) - Shift from Google-style search to LLMs: “More leveraged decisions are now made through the LLM.” (0:15) - What Lapis does: the most accurate AI search analytics platform. (1:15) - YC intensity: six weeks from Demo Day, rapid feedback loops, constant customer conversations. (2:00) - “The hardest part of running a startup is the most boring stuff.” (2:41) - How AI search differs from Google search. (3:23) - Building a company through trust. (3:51) - “Every founder said, ‘Check out Gabriella Warp - a genuinely friendly solution. (4:02) - Big providers needed six weeks just to get set up. (4:20) - Texted Ayush and got set up in 15 minutes. (4:25) - Warp is so smooth you don’t think about payroll — no spam emails, no upsells, just seamless.

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300+ languages are spoken in Nigeria — and better representation is needed in LLMs to build inclusive AI for everyone in the country. Learn how the HausaNLP Research Group is using Google Colab to bridge language gaps and democratize AI →

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Prof. David Krakauer says intelligence is not knowledge. True intelligence is doing more with less. Solving problems without knowing everything. LLMs do the opposite. They do more with more. LLMs are libraries that know everything.

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.People Inc. CEO Neil Vogel says publishers can block most AI crawlers — but not Google's, calling it “an incredible abuse of market power.” "We can't actually block Google, because Google uses the same crawler for search as they do for AI." #AxiosHouse

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Google just announced they are redesigning search around AI. Here's how to get actual search results again.

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DuckDuckGo

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This girl from IBM explained how Claude works better than most AI engineers could in 8 minutes > search used to match words, not meaning > then AI learned to understand intent > then RAG gave LLMs external memory - so they could read your documents > then agents arrived - now the AI decides what to search, when, and why the hardest part of AI isn't generating the answer it's knowing what to look at first full video above

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Mr. Buzzoni

524,161 Aufrufe • vor 2 Monaten

AI is the new search 👀 That's why we launched Amplitude AI Visibility. See what your favorite AI tools like ChatGPT, Claude, and Google AI Overview are saying about your brand, and make sure customers find you, not your competitors:

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Andrej Karpathy just explained the 5 shifts turning LLMs into agentic systems. 00:00 - Memory turns chat into personal AI 06:41 - Multimodal AI reads the world 16:58 - Thinking models solve harder tasks 24:51 - Search makes LLMs live 30:58 - Tools turn LLMs into workers Most people are still treating LLMs like chatbots. Karpathy is showing the full stack: Memory → Vision → Reasoning → Search → Tools Prompting is the old workflow. Agentic systems are the new one. This 40-minute talk is worth more than most paid AI agent courses. Bookmark and watch it before everyone catches up. Then read how to turn LLMs into self-improving agent loops below

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