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Playstation cup finals NAC Winners Teaming with mexicans Clip 1 replay code : a0fd1540cacb4513a7d252d06d1ccb9b Clip 2 replay code : 4fbc14bff41d4043a7106a52676da9e8 Loomin MrGrifs David ShyoWager Kelly Link

pixelbotrr

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23,799 views • 8 months ago •via X (Twitter)

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pixelbotrr

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pixelbotrr

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this reaction to get banned a day later lmaoooo

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Vaibhav (VB) Srivastav

80,474 views • 1 year ago

Last week I saw the future of how we'll all work with AI. Logan (Google's AI Studio lead) was showing me Gemini's new“real time streaming” feature. He had his code editor open, and casually said via voice 'hey, should I change this function?' The clip below is wild - you have to see it to believe it. The AI was watching his screen. Like literally watching - seeing his cursor move, understanding his code, giving real-time feedback. Like pair programming with an AI that never gets tired. I've been playing with Claude, ChatGPT, building with v0/Bolt. They're all powerful but this was different. This was like having an AI co-pilot actually seeing your screen, understanding context, and helping in real-time. Different use-case but really bent my mind. Think what this means: • Coding – Ask about any line you're looking at • Debugging – It sees the error in real-time • Learning new tools – It watches you struggle and helps • Writing – It sees what you're typing and suggests edits The tech behind it is really cool: • Processes entire screen in real-time • Understands spatial context • Can handle 500K+ tokens (like reading a book in seconds) • Remembers your entire session Google's giving this away free in AI Studio. Yes, they're competing with OpenAI. But for makers, this is massive. Thanks to Logan Kilpatrick for the time and the demo. It really blew my mind. This is a clip from the full episode of the Startup Ideas Pod which I’ll link below. In that episode he gives 2 more demos so it's worth watching. Happy building.

Last week I saw the future of how we'll all work with AI. Logan (Google's AI Studio lead) was showing me Gemini's new“real time streaming” feature. He had his code editor open, and casually said via voice 'hey, should I change this function?' The clip below is wild - you have to see it to believe it. The AI was watching his screen. Like literally watching - seeing his cursor move, understanding his code, giving real-time feedback. Like pair programming with an AI that never gets tired. I've been playing with Claude, ChatGPT, building with v0/Bolt. They're all powerful but this was different. This was like having an AI co-pilot actually seeing your screen, understanding context, and helping in real-time. Different use-case but really bent my mind. Think what this means: • Coding – Ask about any line you're looking at • Debugging – It sees the error in real-time • Learning new tools – It watches you struggle and helps • Writing – It sees what you're typing and suggests edits The tech behind it is really cool: • Processes entire screen in real-time • Understands spatial context • Can handle 500K+ tokens (like reading a book in seconds) • Remembers your entire session Google's giving this away free in AI Studio. Yes, they're competing with OpenAI. But for makers, this is massive. Thanks to Logan Kilpatrick for the time and the demo. It really blew my mind. This is a clip from the full episode of the Startup Ideas Pod which I’ll link below. In that episode he gives 2 more demos so it's worth watching. Happy building.

GREG ISENBERG

284,034 views • 1 year ago

Obsidian + method Karpathy + Claude Code = a quantum second brain that talks back. Most second brains are graveyards you clip 300 articles, tag 80 notes, build a graph that looks like a galaxy, then never open it again. Karpathy fix is stupid simple: 1 file, append only, new thought on top, review by scrolling no folders, no tags, no 40-minute “PKM setup” videos. The capture layer is 1 Obsidian vault with 1 file called stream md, where every idea, quote and link lands in under 10 seconds, because anything slower and you quit by day 4. Once a week Claude Code reads the whole vault from the terminal with 1 prompt “find the 5 ideas I keep circling without noticing” and sees patterns across 6 months you can’t hold in working memory. Instead of searching keywords you ask questions like “what did I think about agent pricing in March,” and Claude greps 4,000 notes and quotes your own words back with file paths. Then the vault becomes context drafting a post, a pitch or a spec, Claude pulls in your past thinking instead of generic internet mush, and your output starts sounding like you, compressed. The first week feels pointless at 20 notes, month 1 brings the first “wait, I already solved this” moment, by month 3 Claude connects 2 notes written 70 days apart and that connection becomes your best post of the year, by month 6 you stop asking Google things you already answered. The whole setup costs $0 in software and 1 evening. Notion sells you a workspace, Obsidian gives you files, Claude gives them a voice. Everyone rents a second brain this one lives on your disk and grows. You wrote the notes, and now something finally reads them.

Obsidian + method Karpathy + Claude Code = a quantum second brain that talks back. Most second brains are graveyards you clip 300 articles, tag 80 notes, build a graph that looks like a galaxy, then never open it again. Karpathy fix is stupid simple: 1 file, append only, new thought on top, review by scrolling no folders, no tags, no 40-minute “PKM setup” videos. The capture layer is 1 Obsidian vault with 1 file called stream md, where every idea, quote and link lands in under 10 seconds, because anything slower and you quit by day 4. Once a week Claude Code reads the whole vault from the terminal with 1 prompt “find the 5 ideas I keep circling without noticing” and sees patterns across 6 months you can’t hold in working memory. Instead of searching keywords you ask questions like “what did I think about agent pricing in March,” and Claude greps 4,000 notes and quotes your own words back with file paths. Then the vault becomes context drafting a post, a pitch or a spec, Claude pulls in your past thinking instead of generic internet mush, and your output starts sounding like you, compressed. The first week feels pointless at 20 notes, month 1 brings the first “wait, I already solved this” moment, by month 3 Claude connects 2 notes written 70 days apart and that connection becomes your best post of the year, by month 6 you stop asking Google things you already answered. The whole setup costs $0 in software and 1 evening. Notion sells you a workspace, Obsidian gives you files, Claude gives them a voice. Everyone rents a second brain this one lives on your disk and grows. You wrote the notes, and now something finally reads them.

West Lord

62,978 views • 12 days ago

karpathy just broke the internet with something called auto research it’s basically an ai research agent that runs experiments for you 24/7 you give it a goal like “make this model better” “find a higher converting landing page” “lower customer acquisition cost” then it runs a loop: 1) plan an experiment 2) edit the code or config 3) run a short test on a gpu 4) read the metrics 5) keep the winner 6) try again over and over while you sleep by the morning you wake up to the best version actual tested improvements think of it like a robot research intern that runs hundreds of experiments and only keeps the winners this is link to his repo for your to mess around with it in the latest episode of The Startup Ideas Podcast (SIP) 🧃 i break down: • what auto research actually is • how it works step by step • 10 business ideas you can build with it • how to install it and start using it this one is saucy because tools like this change how startups get built watch

karpathy just broke the internet with something called auto research it’s basically an ai research agent that runs experiments for you 24/7 you give it a goal like “make this model better” “find a higher converting landing page” “lower customer acquisition cost” then it runs a loop: 1) plan an experiment 2) edit the code or config 3) run a short test on a gpu 4) read the metrics 5) keep the winner 6) try again over and over while you sleep by the morning you wake up to the best version actual tested improvements think of it like a robot research intern that runs hundreds of experiments and only keeps the winners this is link to his repo for your to mess around with it in the latest episode of The Startup Ideas Podcast (SIP) 🧃 i break down: • what auto research actually is • how it works step by step • 10 business ideas you can build with it • how to install it and start using it this one is saucy because tools like this change how startups get built watch

GREG ISENBERG

435,933 views • 4 months ago