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Trade Whisperer

@TradexWhisperer129,312 subscribers

Memory Engineer & Data Scientist. Masters Degree @UofIllinois 2x🎓 Founder of Smart Candle System on Patreon 👇

Shorts

🔥 $PLTR "To all supporters of Palantir, Merry Christmas and Happy New Year and to all people who hated on us, ENJOY YOUR COAL" -Palantir CEO Alexander Karp

🔥 $PLTR "To all supporters of Palantir, Merry Christmas and Happy New Year and to all people who hated on us, ENJOY YOUR COAL" -Palantir CEO Alexander Karp

123,067 次观看

$PLTR "To all supporters of Palantir, Merry Christmas and Happy New Year and to all people who hated on us, ENJOY YOUR COAL" -Palantir CEO Alex Karp

$PLTR "To all supporters of Palantir, Merry Christmas and Happy New Year and to all people who hated on us, ENJOY YOUR COAL" -Palantir CEO Alex Karp

264,178 次观看

🐐 $PLTR UNREAL Fannie Mae CEO Testimonial "It was a mortgage case fraud case... There's a lot of paper--reams of paper. It took our really talented investigators 60 days to detect fraud into these files. It took your technology 10 seconds, like holy cow." HOLY GOAT PALANTIR

🐐 $PLTR UNREAL Fannie Mae CEO Testimonial "It was a mortgage case fraud case... There's a lot of paper--reams of paper. It took our really talented investigators 60 days to detect fraud into these files. It took your technology 10 seconds, like holy cow." HOLY GOAT PALANTIR

154,140 次观看

Videos

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$MU $DRAM $SNDK A Bloomberg journalist just asked Sanjay Mehrotra a $200 billion dollar question today Q: Is Micron overbuilding? Could the next bust be coming? A: Sanjay's answer centered on one word. Discipline. The shell gets built. How it gets equipped depends on real time demand assessments. His exact words: "bring up this supply with discipline." That is not a company repeating the mistakes of previous cycles. That is a company that learned from every single one of them. Full Question: "Historically, memory is a cyclical business. Right? Periods of boom, periods of bust. I'm wondering if a $200,000,000,000 investment here in The US signals perhaps more of a confidence that that demand, that high demand is going to be permanent, or are there concerns here that, the industry could be overbuilding capacity? Sanjay's Full Answer: "What we are doing is building these fabs, which are very long lead time item, as you can see in in terms of what we are doing at Boise and New York, it really takes several years just to build, construct the shell. How we equip that shell [empty cleanroom] really very much depends on our latest assessments of demand at a given time. So important thing is to have that preparedness to meet the market demand, and memory has become a key enabler. It is a strategic asset for AI across consumer as well as data center industries. Because without memory, you don't really have that intelligence that is critically import important for the future road maps that our customers have. "Our investments, of course, will always be managed with discipline. Today, we are able to meet the demand of our key customers only about 50% to about two thirds in many cases. And it's really important that we, of course, bring up this supply with discipline and continue to really, fuel the growing demand provide and serve the necessary demand that is ahead."

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122,435 次观看 • 12 天前

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🔥 $PLTR Co-founder Joe Lonsdale with Tom Bilyeu on Why Meritocracy and Intelligence Matters "At Palantir, we started off with a bunch of these math champions and chess champions, just the best people out of the Ph.D. programs at Stanford, MIT, and other places. They brought their smartest friends, who brought their smartest friends, and that’s just a huge advantage. In the tech world, with the very, very top companies, you don’t see just average people there. You see extraordinarily bright minds, and that three, four, or fifth standard deviation of skill is the same way. By the way, if you want to have the Oakland A’s be a top baseball team or a top basketball team, you can’t just have an average guy on the team. You need the very, very best—the top merit in that area. In some cases, it’s a skill, like in sports. In other areas, it’s IQ, and IQ matters a lot for what we’re doing." The American government was really competent in the mid-20th century. Is it something that no one else could do? You know, we fought two world wars. We went to the Moon. It turns out that we used to have really hard tests to run things in the U.S. government. So, allow me to go back a little bit to the 19th century. The government grew a lot after the Civil War. Abraham Lincoln created a lot of new departments, and the central government all of a sudden became a much bigger thing in the 1860s and 70s. By the time of 1883, it was a mess. Everyone agreed, this is a mess because whoever wins the presidency just brings in all their friends, all their cronies, their stupid cousin Vinnie, whoever else. They’re all getting paid a ton of money just to hang out in D.C. and not get anything done. So, they said, “Guys, we need to have tests. We need to have merit. We need to actually say the people running things need to be really smart.” So, we put in these tests with the Pendleton Act of 1883, and these tests were there all the way through the Moon landing, through everything. Then, come the late 1970s, our country became very politicized around affirmative action. It turns out these tests had different results on average for different races. They weren’t racist tests, by the way. I would agree that the tests actually measured your performance. But despite that, the activist courts on the left said, “No more tests.” So, around 1980 or so, they threw out the tests. And, by the way, they didn’t just throw out the tests. They made it almost impossible to fire people. They put in massive protections where it’s really hard and slow to fire people. So, starting in 1980, our government is not able to do tests anymore, not able to do merit. It just starts getting dumber slowly over time—dumber and dumber. So, for 45 years, our government’s been getting dumber. That is interesting. Tom Bilyeu: One of the great revelations of my adult life—and this actually bothers me—is the degree to which intelligence matters. What role do you think intelligence plays, full stop? Whether you’re trying to improve the government, whether you’re trying to be the baddest kid on the international block, or you’re trying to build a company? Joe Lonsdale: This is a really important point because, obviously, intelligence isn’t everything. I think integrity, faith, why you care about the world, and your motives matter to help people. But if you actually want to be effective at whatever those motives are, intelligence is absolutely central. Merit is absolutely central. If you look at the very top companies versus an average company, you have the best and the brightest.

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40,026 次观看 • 1 年前

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🇫🇷 $PLTR A rare interview with French Palantir deployment lead, Agath. "Ontology is a technology in which we have invested for years. To summarize the principle is that we organize the data to match the operational reality. It is much more than a semantic model. In other words, instead of viewing data as tables and keys, it reorganizes data into objects, links, and actions, making it more intuitive and practical to use." "All functions within Palantir are seamlessly integrated and naturally connected. Yet, it also flexibly integrates with external tools (GCP, Snowflake, Databricks, Power BI, etc.)." [ Real-World Application of Palantir 1 ] --Insurance Risk Assessment and Fraud Detection Reduced manual review time from 3 weeks to a few hours. Saved millions of dollars annually and maximized fraud detection efficiency. AI-powered automation for analyzing claims documents, matching insurance terms, and handling exceptions. ------------------------------------------ [ Real-World Application of Palantir 2 ] --Manufacturing Supply Chain (SCM) Optimization Reclassified over 27 million transaction data points to improve procurement processes. Achieved cost savings and enhanced supplier negotiation power. Ontology-based data integration enabled multiple teams to use the same data. ------------------------------------------ [ Real-World Application of Palantir 3 ] --Generative AI (GenAI) Implementation Launched AIP (Artificial Intelligence Platform) in 2023. GenAI models can be instantly deployed in production environments. Accelerates enterprise AI adoption while maintaining data governance. Achieved 29% revenue growth in 2024 and inclusion in the S&P 500 index. ------------------------------------------ [ Three Main Reasons Companies Adopt Palantir ] 1. Building New Data & AI Infrastructure Ideal for startups or scale-ups building a complete AI data infrastructure. Examples: Aero (France), Crowd Farming (Spain). 2. Enhancing Existing Data Infrastructure Companies lacking specific capabilities (e.g., GenAI adoption, enhanced security) leverage Palantir. Particularly used in finance for deploying secure AI models. 3. Strategic Impact & Organizational Expansion Proven ROI shared among CEOs and executives → expands to other departments. Example: Stellantis – expanded from quality control to supply chain to procurement processes. ------------------------------------------ [ How Does Palantir Transform Companies? ] Provides not just a data repository but an actionable data environment. Enables operational and data teams to collaborate on the same platform. Deploys AI models rapidly while maintaining security and governance. “Leading true digital transformation through data & AI—that is Palantir’s role.” A Nice Find & Transcribed by 엔팔좋아 👏

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34,067 次观看 • 1 年前