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Gestalt

Gestalt

@___Gestalt

What We See in What We All See.

Earth Katılım Temmuz 2019
393 Takip Edilen372 Takipçiler
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Gestalt
Gestalt@___Gestalt·
@elonmusk "No absolution offered by beguiling doctrines, even in the areas of philosophy and theology, can make man truly happy: only the Cross and the glory of the Risen Christ can grant peace to his conscience and salvation to his life". - John Paul II Veritatis Splendor
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Cluseau Investments
Cluseau Investments@blondesnmoney·
There's only one oil and gas executive I trust enough to re-open the Strait
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Fox News
Fox News@FoxNews·
BREAKING: Jury finds Meta, Google liable in landmark social media addition trial, awards $3M in damages
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Gestalt
Gestalt@___Gestalt·
@Jesse_Leg to be fair they're acting in some of those clips hoping to be shown on TV, they're not really that dumb they're having fun
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Jesse Arm
Jesse Arm@Jesse_Leg·
Counterpoint: These kids are more or less fine. They’re drunkenly enjoying their spring break. Better to be socializing and partying with friends in real life than doomscrolling on X in isolation and hyperventilating about how awful America is.
Thomas Chatterton Williams@thomaschattwill

A lot of the problems in the world right now can be explained by this video. For one thing, it’s a big reason why the US government is so unaccountable to public opinion. These are *college students.* A significant amount of the country is totally checked out and comfortable enough not to think it matters.

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Darren Rovell
Darren Rovell@darrenrovell·
The "butt birth" mechanical rhino from "Ace Ventura: Pet Detective" just sold at @propstore_com for $59,850. The high estimate was $8,000.
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Gestalt
Gestalt@___Gestalt·
@darrenrovell let me guess, they were authenticated by PSA...DNA
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Darren Rovell
Darren Rovell@darrenrovell·
Strands of Abraham Lincoln’s hair were collected from his head after his death and given to his widow Mary Todd Lincoln. She then gave them to friends. These three strands were given to Dr. Charles Taft and it was bought at auction in 1914 for $330. It sold today for $9,375.
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Will Stern
Will Stern@Will__Stern·
Guy who owns every Ken Griffey Jr. card: "I would advise that every college student, every teacher should encourage their students to go buy Ken Griffey Jr. cards. Every college student should graduate and have hundreds of Ken Griffey Jr. cards."
Chief Nerd@TheChiefNerd

JENSEN HUANG: “I would advise that every college student, every teacher should encourage their students to go use AI. Every college student should graduate and be an expert in AI.”

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Gestalt
Gestalt@___Gestalt·
@UncleWalt1971 In those early days when you'd return to your room from the park each night, turn down service had left warm fresh baked Tollhouse cookies, an iced carafe of milk, and free porcelain Disney figurines on the pillows. Still have a bunch of those figurines.
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Uncle Walt’s Little Known Facts
Walt Disney World’s Golf Resort started as a 1971 clubhouse with zero guest rooms. When the Magnolia and Palm courses opened with Magic Kingdom on October 1, 1971, the two-story wood-and-volcanic-rock building in the middle of the courses was only a country-club-style pro shop and lounge. Guest wings were bolted on in Phase 2 and the full 151-room Golf Resort didn’t debut until December 15, 1973, making it Disney’s official third on-property hotel. The resort boasted Walt Disney World’s very first heated pool and in April 1981 the resort began daily character dining long before it became a park staple, hosted in The Trophy Room. Kids met Snow White and the Seven Dwarfs right there in the restaurant while parents enjoyed the view of the Magnolia course. With no monorail loop and a reputation as the “golfers-only” hotel, the resort averaged just 60–75% occupancy while the Contemporary and Polynesian hovered near 100%. Disney execs loved it for the quiet; many kept it as their personal low-key getaway. The resort was renamed The Disney Inn in February 1986 to attract a larger demographic beyond golfers. It’s not known as Shades of Green. #WaltDisneyWorld #DisneyFacts
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Gestalt
Gestalt@___Gestalt·
he's gonna have bigger problems than that, the entire company is lost, Disneyland in recent weeks has been a complete shit show, it usually had a chill atmosphere and never really overcrowded, Florida continues to be ridiculous, if either one ever had a legit fire inspector they would shut it down, they need to build a third theme park, likely in Texas, Marvel will lose billions if they don't sell it now and get out while it's still worth something, ABC same deal, and they need to bring back creative people who know how to tell a story and stop agenda driven content, actually the work is easy it just takes courage, does Josh have the courage to fix this company?
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Bloomberg
Bloomberg@business·
Disney CEO Josh D’Amaro hasn’t even been been in his new job for one week and he’s already seen two, billion-dollar technology bets falter — with one of them unraveling entirely. Read more: bloom.bg/4sZ7ww2 📷️: David Paul Morris/Bloomberg
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Gestalt
Gestalt@___Gestalt·
@HustleBitch_ what if you see a price and pick the item up, take it to the register and the price changed? Isn't that against a whole lot of really good laws?
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HustleBitch
HustleBitch@HustleBitch_·
🚨 WALMART’S AI PRICE SYSTEM JUST ACTIVATED — DIGITAL PRICES CAN CHANGE IN SECONDS WHILE YOU SHOP AND A CUSTOMER CAUGHT IT ON CAMERA America’s biggest retailers are quietly replacing paper tags with digital screens. Prices are no longer fixed. They can change in seconds. • Grab it at one price • Walk to checkout • It’s already higher This unlocks dynamic pricing inside stores. • Demand spikes → price jumps • Inventory drops → price adjusts • Algorithms decide what you pay in real time Not tomorrow. Not next week. Right now. When prices can change in seconds… are you even buying anything anymore, or just paying whatever the system decides you owe?
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Darren Rovell
Darren Rovell@darrenrovell·
The greatest assemblage of actor/actress and entertainer debut and milestone tickets will be sold at @RRAuction on Thursday. At current top bid, including buyer’s premium of $6,565, this lot is undervalued. Includes a 1/1 Marlon Brando debut! rrauction.com/auctions/lot-d…
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Gestalt
Gestalt@___Gestalt·
@PopCrave and the one who got left behind is 100 pounds overweight, has four kids with three ex-husband's, works as a waitress and cashier nights at a strip club, oh and BTW has a better natural singing voice which she never uses
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Pop Crave
Pop Crave@PopCrave·
Gary Marsh reveals Miley Cyrus almost wasn’t cast as Hannah Montana, with executives split until the final vote: “We cast for 11 months. We were down to the last two girls, and you were this 12 year old pistol and raw and real and fresh out of Tennessee. And you both left, there's 10 people in the room, and we took a vote. It was not a landslide. And people put forth their real opinion, and I had made a decision, and I wrote an email to the team. It said, 'we pride ourselves not just on creating great television, but on creating stars. I'm ready to pull the trigger on Miley. Is she a risk? Unquestionably true. Is she a potential star? Absolutely. And whatever comes of this decision, I'm thrilled that all of us will be able to sit down over a drink in a few years and remember this moment when we decided to forsake the safe route for the riskier one and the greater reward.’ That's what you did. You brought that out of them. That's what you brought to the table. That's why this was successful.”
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Will Stern
Will Stern@Will__Stern·
claude buy $1m worth of baseball cards for underrated prospects that will eventually become All-Stars. Make no mistakes.
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Gestalt
Gestalt@___Gestalt·
@darrenrovell perhaps that's what he had to pay to buy his own jersey, not a value assigned by a collector
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Gestalt
Gestalt@___Gestalt·
@6days1week @vladtenev @grok what does this mean? It would read as if they are saying that if you have a brokerage account at Robinhood and you have stock in a company that you don't really own the stock and Robinhood has some kind of shadow system that you're not owning anything, please explain
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Gestalt
Gestalt@___Gestalt·
@realBigBrainAI @grok please provide a concise summary of what a token is in this context and why it matters
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Big Brain AI
Big Brain AI@realBigBrainAI·
Jensen Huang has a simple test to spot which engineers are getting left behind. "That $500,000 engineer — at the end of the year I'm going to ask him how much did you spend in tokens. And if that person said $5,000, I will go ape." His benchmark? If a top engineer isn't spending at least $250,000 worth of tokens annually, he's deeply alarmed. The parallel he draws is blunt: an engineer refusing to use AI is no different from a chip designer saying they'll just use paper and pencil instead of CAD tools. Jensen compares it to what the NBA learned when LeBron James started spending a million dollars a year on his body. At 41, he's still playing at the highest level. "If these are incredible knowledge workers, why wouldn't we give them superhuman abilities?" The implications run deeper than just productivity gains. Jensen believes the real transformation is about what disappears from an engineer's mind entirely. "Things that used to make you stop, 'this is too hard', 'this is going to take a long time', 'we're going to need a lot of people', those thoughts are gone." Just like in the last industrial revolution, when heavy buildings and massive mountains stopped being mental blockers, AI eliminates the friction that once constrained ambition. AI does the same thing for knowledge work. What's left when the friction disappears? Pure creativity. And that changes what the job actually is. Jensen's vision of the engineer of the future is someone who thinks, organises, and directs rather than simply codes. "In the past, we code. In the future, we're going to write ideas, architectures, specifications. We're going to organise teams. We're going to help define how to evaluate good versus bad. What does a great outcome look like? How to iterate? How to brainstorm?" His prediction: every engineer will have a hundred agents working under them. The engineers who win will be the ones who learn to lead these tools, not resist them.
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Gestalt retweetledi
Jon Erlichman
Jon Erlichman@JonErlichman·
On this day in 1903: Wright brothers file a patent for their flying machine.
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Gestalt
Gestalt@___Gestalt·
i'm confused, in the past when I have asked you outside of public questions such as this but within the app between you and I, if our conversations are kept confidential, you have indicated that while they are, general principles do become a part of your learning and training data, here it sounds as if you are saying that's not the case, can you clarify
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Utkarsh Sharma
Utkarsh Sharma@techxutkarsh·
BREAKING: MIT just mass released their Al library for free. (Links included) I went through these and honestly... this is better than most paid courses I've seen. Here's the full list of books: Foundations 1. Foundations of Machine Learning Core algorithms explained. Theory meets practice. 2. Understanding Deep Learning Neural networks demystified. Visual explanations included. 3. Machine Learning Systems Production-ready architecture. System design principles. Advanced Techniques 4. Algorithms for ML Computational thinking simplified. Decision-making frameworks. 5. Deep Learning The definitive textbook. Covers everything deeply. Reinforcement Learning 6. RL Basics (Sutton & Barto) The classic. Agent training fundamentals. 7. Distributional RL Beyond expected rewards. Advanced theory. 8. Multi-Agent Systems Agents working together. Coordination and competition. 9. Long Game Al Strategic agent design. Future-focused thinking. Ethics & Probability 10. Fairness in ML Bias detection. Responsible Al practices. 11. Probabilistic ML (Part 1 & 2) Links: lnkd.in/gkuXuexa Most people pay thousands for bootcamps that teach half of this. Bookmark it. Start anywhere. Just start. Repost for others Follow for more insights on Al Agents. MIT's books on Al Foundations 1. Foundations of Machine Learning - lnkd.in/gytjT5HC 2. Understanding Deep Learning - lnkd.in/dgcB68Qt 3. Machine Learning Systems - lnkd.in/dkiGZisg Advanced Techniques 4. Algorithms for ML - algorithmsbook.com 5. Deep Learning - lnkd.in/g2efT6DK Reinforcement Learning 6. RL Basics (Sutton & Barto) - lnkd.in/guxqxcZZ 7. Distributional RL - lnkd.in/d4eNP-pe 8. Multi-Agent Systems - marl-book.com 9. Long Game Al - lnkd.in/g-WtzvwX Ethics & Probability 10. Fairness in ML - fairmlbook.org 11. Probabilistic ML (Part 1) - lnkd.in/g-isbdjj 12. Probabilistic ML (Part 2) - lnkd.in/gJE9fy4w
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