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Tomorrow at 2pm ET: Thomas (Tom) Lee (not drummer) FundstratDirect.com's monthly Macro Update & Top Ideas webinar. Tom Lee and Mark Newton CMT covering: - Tom's market outlook: what the data is saying and what he's focused on for the month ahead - Fundstrat's just-updated Top 5 large-cap and... show more

Fundstrat Direct

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Steve Bannon: "Gotta be blunt: Vivek is a terrible candidate to have at the top of the ticket. He's dragging down the Senate candidate. I think Vivek's down by 5 or 6 points and he'll lose by more if he continues with what he's been saying on the campaign trail."

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So TeamYouTube has given me a warning and a strike in 24 hours for two separate videos under the "Harmful and Dangerous Acts" policy and "Harassment and Bullying" policy. I want you to just take a look at what was taken down with the timestamps TeamYouTube has provided A video where i am reacting to a video that is currently on their platform and a video where I'm saying "top 5 gooners" got taken down under this policy with both appeals getting rejected in under an hour TeamYouTube can i get a REAL HUMAN to look at these videos fairly and not a robot. Not one of those links saying "We have previously looked at the video and unfortunately it goes against our community guidelines" the appeal system does not work correctly.

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Playing a practice round for @OlympicGolf this is Alejandro Tosti ( video courtesy of Brad Faxon ) who is just 5’6” tall and is currently in the top 10 in driving distance on the PGA Tour. It is tough to be precise about the top 10 P4P and I4I longest players of all time as there isn’t the data needed to be exact but I don’t think it would be a stretch to put Tosti in the top 10 all time in either I4I or P4P driving distance. (note: “players” meaning played golf at the highest level, otherwise this title will always belong to Jamie Sadlowski ) My top 10 in no particular order: Gene Sarazen Gary Player Ian Woosnam Rory Mcilroy Ben Hogan Bobby Jones Tom Watson Alejandro Tosti Min Woo Lee Justin Thomas *There is a bias towards more recent players because the data is better and because golf courses are increasingly being setup to encourage players to swing for the fences and the equipment, being more forgiving, further encourages this generation of players to swing all out. Still though there is much to learn from these moves.

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LEE KNOW 리노 GLOBAL ★

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1 Neural Network + Obsidian + Karpathy’s 1-file method = the most unhinged second brain build of 2026. It remembers everything you’ve ever done, and it costs $0 on top of what you already pay. The base is Karpathy’s append and review: 1 giant note, new thoughts stack on top, old ones sink, every few days you reread and pull the survivors back up. No folders, no tags, no plugins the rereading IS the system, because review is what turns storage into thinking. The flaw: past 10,000 lines, no human rereads anything. That’s where the neural network takes over. You keep the note in Obsidian 1 vault, everything dumps to the top: ideas, links, meeting fragments, half-thoughts. You never organize, you only dump. It all lives as plain markdown on your own disk, and that detail is the whole trick. Because now you point Claude Code at the vault folder, and it reads every line you’ve ever written. “What did I think about pricing in March.” “Find the 3 ideas I keep circling.” “What did I drop that deserves a second look.” It answers from YOUR notes, with quotes, in 15 seconds. Then once a week, 1 prompt closes the loop: read the last 7 days, surface the 5 entries worth pulling back up, flag anything that contradicts what I wrote a month ago. The model does the sinking and surfacing Karpathy did by hand, and the note stays alive instead of turning into a graveyard. Week 1 feels like nothing. Week 4 you hit the first “I already solved this in January.” Month 3 you consult your past self more than Google. Most second brains die in 11 days under 40 plugins and 200 folders. This one is 1 file and a loop, and it compounds because dumping takes 0 discipline. Notion stores what you thought. This thing argues back.

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I built a content engine that runs on telegram. Two commands... /discover: sends out to 9 sources across HackerNews, Reddit communities covering AI automation, prompt engineering, vibe coding, and specialist newsletters. Pulls everything published in the last 24 hours, runs each item through an AI extraction layer that scores it against 100+ niche keywords, deduplicates, and drops the relevant ideas into a Notion database. Takes about 90 seconds. Costs fractions of a cent. /ideas: this command pulls the top scored ideas from that database, randomizes the selection so you're not seeing the same ones every time, and sends them to you in a clean numbered list. You reply with /write 3 or whatever you choose, and the system researches the topic using Perplexity's live web search, generates three distinct outline options with different angles and hooks, saves them to a Google Doc, and sends you a message telling you they're ready. You read the outlines, and you pick one. You then reply with the command /outline 2. The system writes the full piece in your voice, following your brand guidelines, with specific examples and concrete claims. It can be done in under two minutes of your time. The whole thing runs on n8n, with no subscriptions beyond what you already use. If content takes too long or you don't have ideas, this solves that. I built this for myself; I can do it for you. If you're tired of knowing you should be posting and still not doing it, let's talk.

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It looks like DLSS 5 was an AI-gen filter after all. YouTube Creator “Daniel Owen” asked Nvidia some questions regarding DLSS 5 and if it essentially just takes a single 2D frame with motion vectors as input to generate the output frame. The amount of buzz words Jensen Huang said like; Neural Rendering, Content-Control Generative AI and generative control at the geometry level just to end up admitting that DLSS 5 is what everyone suspected; an AI filter on top of your video-games.

NikTek

580,440 Aufrufe • vor 5 Monaten

13-year-old is making $20,000 a month - and spends 1-2 hours a day on content. Built a system that finds ideas, writes in his voice and publishes across 5 platforms automatically. Claude writes, the verifier checks, the system learns from what worked - every next post comes out sharper without him touching anything. 5,000,000 impressions in 2 weeks. 100,000 bookmarks in 2 months. A bookmark is not a like - it's a promise a reader makes to their future self. The algorithm keeps pushing those posts for weeks after they go live. $20,000 a month. 13 years old. 1-2 hours a day.

13-year-old is making $20,000 a month - and spends 1-2 hours a day on content. Built a system that finds ideas, writes in his voice and publishes across 5 platforms automatically. Claude writes, the verifier checks, the system learns from what worked - every next post comes out sharper without him touching anything. 5,000,000 impressions in 2 weeks. 100,000 bookmarks in 2 months. A bookmark is not a like - it's a promise a reader makes to their future self. The algorithm keeps pushing those posts for weeks after they go live. $20,000 a month. 13 years old. 1-2 hours a day.

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