A For You Page curated by the minds that are cooking up the future šŸ“„

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Joined August 2024
Elon Musk faces more than his fair share of criticism for the pace of technological advancement he drives. But Tesla's "We, Robot" event is further evidence of his pulling mankind forward: 🦾 Optimus 🚐 Robovan šŸš— Cybercab Not to mention Space X’s continued progress toward making space travel more efficient. Check out what else made it into this edition of Cookmarks using the link in the comments!
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We're back! šŸ¤ In Search of: Friends 🦾 Elon ā€œAutonomousā€ Musk 🄩 Why you need to improve your digital diet Check out what made it into this morning's issue of Cookmarks! šŸ‘‡
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Fun experiment for any regular ChatGPT users shared by @tomowenmorgan. Ask ChatGPT ā€œFrom all of our interactions what is one thing that you can tell me about myself that I may not know about myself?ā€ Here's what I got back: "From our conversations, one thing that stands out is your subtle and deliberate approach to communication. You seem to have an innate ability to blend clarity with nuance, which might reflect a deeper sensitivity to how others perceive and interpret information. Whether in your newsletter or social media content, you're thoughtful about tone and word choice, always striking a balance between being engaging and professional. This suggests that you have a natural talent for conveying ideas in a way that both informs and resonates without overstating things—a quality that enhances how others connect with your message. It’s possible that this careful balance you strike, especially when trying to avoid wordiness or choosing the right tone, is something you do so naturally that you might not fully appreciate its impact. It’s a subtle skill, but one that can shape how people engage with your content and brand." In summary, ChatGPT thinks you should subscribe to @CookmarksLetter šŸ‘€ Try it for yourself!
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Jeff Bezos nearly got his mother kicked out of her high school. 😲 There’s a cool story in the intro to ā€œInvent & Wanderā€ that got me thinking about the small, but pivotal moments in life that set the stage for everything. Jackie Gise, Jeff’s mother, was 17 when she got pregnant, and she nearly got expelled. But thanks to her father, Lawrence Gise, stepping in to negotiate her stay, she ended up graduating. It’s wild how the small, often overlooked decisions or acts—like a father stepping in at the right time—can set the stage for something much bigger down the line. This is one of the most underestimated aspects of biographies: The value lies not just in the big overarching achievements and ā€œa-haā€ moments, but also the seemingly insignificant decisions or acts that wind up being foundational to everything.
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Keeping this top of mind as the holiday dinner season approaches
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Amazon is hiring a "Principal #Nuclear Engineer"ā˜¢ļø Responsible for establishing plans to power their AI data centres with SMRs. Is AI putting the #CleanEnergy transition into hyperdrive? Read more in the latest edition of Cookmarks! cookmarks.xyz/p/nuclear-rena…
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Would you look at that, another edition of Cookmarks just dropped! We’re talking: ā˜¢ļø #Nuclear šŸ¤ Persuasion Principles šŸ§‘ā€šŸ’» AI for #UI And other cool things. Here’s the link: cookmarks.xyz/p/nuclear-rena…
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Founder Mode engaged?
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šŸ’ā€ā™€ļø In the future, Alexa will be useful ā˜Žļø You think spam calls are bad now? Lol, LMAO even šŸš€ Lessons from Musk A peak at some of what made it in to the latest edition of CookmarksšŸ‘‡
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Minimum necessary obsession — This concept got me thinking. When I look back at the projects I've started and abandoned, they all share a common trait: I was fixated almost entirely on the future rewards I’d receive upon their inevitable success. But after I’d invested the money in a domain, bought the equipment, and designed the website, the real work began. And the chasm that existed between where I was and where I wanted to be became glaringly obvious. The lesson I’m taking from this isn’t necessarily passion-based. The issue in my case isn’t starting things I wasn’t interested in doing, but more perspective-based. Minimum necessary obsession can remind us to refocus on taking the next step rather than being paralyzed by staring into what can look like an abyss between the early stages and the end goal. I still go back and forth on what this idea means to me. What does minimum necessary obsession mean to you?
minimum necessary obsession
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My goal with @CookmarksLetter is to distill a more coherent social feed for readers.
From an essay I started and abandoned in 2020. Highlights one of my issues with social media feeds replacing books.
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I doom scrolled for 4 hours so you don't have to. šŸ‘‘ Nvidia holds all the chips šŸ–Øļø Thanks a lot, printing press. šŸ¤– AI but for your feelings A few entries from this morning's issuešŸ‘‡
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There’s a ton of wisdom to be found on X. The trick is to know where to find it! If you pay attention to the right people, that becomes easy! Here are 3 reposts from Alex MacCaw, Paul Graham , and Ryan Hoover. šŸ‘‡
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One of the coolest inclusions in Friday's edition of Cookmarks. Images of Mario smoking blunts with Pikachu are cool and all, but if AI can start pushing the pace in fields like medicine — things could very interesting in a hurry! h/t @beffjezos
Introducing The AI Scientist: The world’s first AI system for automating scientific research and open-ended discovery! sakana.ai/ai-scientist/ From ideation, writing code, running experiments and summarizing results, to writing entire papers and conducting peer-review, The AI Scientist opens a new era of AI-driven scientific research and accelerated discovery. Here are 4 example Machine Learning research papers generated by The AI Scientist. We published our report, The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery, and open-sourced our project! Paper: arxiv.org/abs/2408.06292 GitHub: github.com/SakanaAI/AI-Scien… Our system leverages LLMs to propose and implement new research directions. Here, we first apply The AI Scientist to conduct Machine Learning research. Crucially, our system is capable of executing the entire ML research lifecycle: from inventing research ideas and experiments, writing code, to executing experiments on GPUs and gathering results. It can also write an entire scientific paper, explaining, visualizing and contextualizing the results. Furthermore, while an LLM author writes entire research papers, another LLM reviewer critiques resulting manuscripts to provide feedback to improve the work, and also to select the most promising ideas to further develop in the next iteration cycle, leading to continual, open-ended discoveries, thus emulating the human scientific community. As a proof of concept, our system produced papers with novel contributions in ML research domains such language modeling, Diffusion and Grokking. We (@_chris_lu_, @RobertTLange, @hardmaru) proudly collaborated with the @UniOfOxford (@j_foerst, @FLAIR_Ox) and @UBC (@cong_ml, @jeffclune) on this exciting project.
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There’s a ton of wisdom to be found on X. The trick is to know where to find it! If you pay attention to the right people, that becomes easy! Here are 3 reposts from Tobi Lütke, AJ Ghergich, and Andrew WilkinsonšŸ‘‡
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