GEMINI + YOUTUBE = $$$ The majority use Gemini to summarize texts.
I used it to create YouTube content that works for me while I sleep. And it generates automatic income for me. These are the exact prompts I used.
LLMS
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GEMINI + YOUTUBE: my prompts for automatic income
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Dario sees open-source AI catching up; Anthropic’s Claude Code boom over
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Dario when he realizes Opensource AI is catching up and Anthropic has no moat + last Christmas Claude Code boom is never going to happen again
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World models vs language models: Fei-Fei Li’s taxonomy
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Language models gave AI the ability to talk about the world. World models will give AI the ability to understand it. But “world model” is an overloaded term. What does it mean? HAI Founding Director @drfeifei offers the taxonomy that matters now. https://
brnw.ch/21x36eY -

Everything You Need to Know About Inference Engines and Local LLMs
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Everything You Need To Know About
Inference Engines and Running LLMs Locally at Home Explains why Inference Engines exist in the first place
– Prefill is not Decode
– VRAM is not bandwidth
– Fit is not speed
– KV Cache is the real memory problem
– Quantization only matters if -

NVIDIA Nemotron 3 Ultra solves AI agent fatigue and cost issues
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AI agents don't just get expensive.
They get tired.
As workflows become longer, agents suffer from goal drift, context overload, and rising token costs.
NVIDIA's Nemotron 3 Ultra aims to fix that: Hybrid Mamba + Transformer 1M-token context 5x throughput 30% lower -
Build no-code agents with everyday language using LangSmith Fleet
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With LangSmith Fleet, you can start creating agents using every day language.
— LangChain (@LangChain) 4 juin 2026
Enroll in our LangChain Academy Quickstart course to learn how to build no-code agents for real work. https://t.co/k2AhiIz7fB pic.twitter.com/LLYyyT1oIpWith LangSmith Fleet, you can start creating agents using every day language. Enroll in our LangChain Academy Quickstart course to learn how to build no-code agents for real work. https://
academy.langchain.com/courses/quicks
tart-agent-builder
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Andon Labs’ real-world AI evals: Claude calls FBI, AI CEOs, price cartels
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Andon Labs' Real-World AI Evals: Claude calls the FBI, AI CEOs, price cartels, Butter-Bench, & Luna https://t.co/KpVP5fw9dM@andonlabs cofounders @lukaspet and @axelbacklund explain why dollar-denominated evals reveal what traditional benchmarks miss, how Claude ended up… pic.twitter.com/Nd11hvIMAo
— Latent.Space (@latentspacepod) 4 juin 2026Andon Labs' Real-World AI Evals: Claude calls the FBI, AI CEOs, price cartels, Butter-Bench, & Luna https://
latent.space/p/andon @andonlabs cofounders @lukaspet and @axelbacklund explain why dollar-denominated evals reveal what traditional benchmarks miss, how Claude ended up -
Podcast: AI Industrial Revolution with Naval, Rauchg, Hodak, Scholl
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Full podcast episode with @rauchg, @maxhodak_, and @bscholl.
— Naval (@naval) 4 juin 2026
40 minutes of unreleased material.
The AI Industrial Revolution
Part 1: Waste Tokens, Save Time
0:00 Three Frontier Founders
1:27 AI Software Factories
4:15 Waste Tokens, Save Time
5:47 Models Instructing Humans… pic.twitter.com/llIMFJMZgVFull podcast episode with @rauchg
, @maxhodak_
, and @bscholl
. 40 minutes of unreleased material. The AI Industrial Revolution Part 1: Waste Tokens, Save Time 0:00 Three Frontier Founders
1:27 AI Software Factories
4:15 Waste Tokens, Save Time
5:47 Models Instructing Humans -

AI Hallucinations: Funny but Worrisome in Interviews
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"When you confidently walk into the interview after doing all of your company research on ChatGPT." AI / ChatGPT / LLM hallucinations are sometimes funny and almost always worrisome! Source: @pascal_bornet at https://
linkedin.com/posts/pascalbo
rnet_aireadiness-humics-digitalworkplace-share-7468225061045456896-7Wya/
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Spiral 4.0: AI Writing Partner with Stylometry for Agents and Brands
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NEW: Spiral 4.0—a writing partner for you and your agent by @every -> Stylometry: we built a new Style Engine based on the principles of stylometry to extract you and your brand's voice and produce great writing every time, based on examples of your past work -> MCP and CLI: