Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

"Errors can exist, but they can’t be hidden." In Episode 3, Jeff Harvard classmate reveals what truly drives him: Jeff never cared about simply "winning" in a system that won unclearly. To him, black-box trading logic and hidden errors are unacceptable—systems leave logs, and transparency is non-negotiable. That exact...

HyperAlphaOrg's profile picture

HyperAlpha

10,308 subscribers

22,117 Aufrufe • vor 20 Tagen •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Traditional finance has speed, but no transparency. Blockchain has transparency, but no speed. Most people accept a broken system as normal. jeff.hl Jeff Yan couldn't. "Will users even care about this?" "They care when they lose. Every single order needs to be traceable." Building Hyperliquid isn't about building a faster casino—it's about opening the black box of order books, self-custody, and transparent liquidations. 🎬 OUTSIDE THE BLACK BOX — Episode 2: The Speed of the Old World Watch Episode 2 now 👇 #Hyperliquid #Web3 #DeFi #Crypto #SelfCustody #OutsideTheBlackBox #hyperalpha
1:56

Traditional finance has speed, but no transparency. Blockchain has transparency, but no speed. Most people accept a broken system as normal. jeff.hl Jeff Yan couldn't. "Will users even care about this?" "They care when they lose. Every single order needs to be traceable." Building Hyperliquid isn't about building a faster casino—it's about opening the black box of order books, self-custody, and transparent liquidations. 🎬 OUTSIDE THE BLACK BOX — Episode 2: The Speed of the Old World Watch Episode 2 now 👇 #Hyperliquid #Web3 #DeFi #Crypto #SelfCustody #OutsideTheBlackBox #hyperalpha

HyperAlpha

16,838 Aufrufe • vor 22 Tagen

It's a summit out there, not an ICU. While the crowd cheered outside, jeff.hl Jeff skipped the stage light to stay behind the scenes. Why? Because the system jittered 38 milliseconds. Users might not see that number—but they’ll feel something’s off. "No Black Box" isn't just a marketing slogan. It's a non-negotiable checklist for building Hyperliquid. 🎬 OUTSIDE THE BLACK BOX — Episode 1: No Black Box Watch the premiere 👇 #Hyperliquid #Web3 #DeFi #Crypto #SelfCustody #OutsideTheBlackBox
1:34

It's a summit out there, not an ICU. While the crowd cheered outside, jeff.hl Jeff skipped the stage light to stay behind the scenes. Why? Because the system jittered 38 milliseconds. Users might not see that number—but they’ll feel something’s off. "No Black Box" isn't just a marketing slogan. It's a non-negotiable checklist for building Hyperliquid. 🎬 OUTSIDE THE BLACK BOX — Episode 1: No Black Box Watch the premiere 👇 #Hyperliquid #Web3 #DeFi #Crypto #SelfCustody #OutsideTheBlackBox

HyperAlpha

19,672 Aufrufe • vor 25 Tagen

Why buy fake liquidity when you can build unstoppable trust? 🏛️⚡️ Post Content:Episode 2 of jeff.hl Jeff Yan story is out, and it’s a masterclass in Web3 fundamentals. The easiest path in DeFi? ❌ Pay market makers. ❌ Buy artificial volume. ❌ Create the illusion of overnight success. Jeff didn’t press that button. Instead of buying temporary liquidity, Hyperliquid chose the hard, honest path: 1️⃣ No VC compromises 2️⃣ No paid market makers 3️⃣ No insider allocations When you build real infrastructure for real users, growth isn't fast—it’s unreplicable. At HyperAlpha, we stand by this ethos. Real execution. Real alpha. No noise. 🦾 Hydromancer Watch Episode 2 👇 #Hyperliquid #JeffYan #DeFi #Web3 #HyperAlpha $HYPE
1:45

Why buy fake liquidity when you can build unstoppable trust? 🏛️⚡️ Post Content:Episode 2 of jeff.hl Jeff Yan story is out, and it’s a masterclass in Web3 fundamentals. The easiest path in DeFi? ❌ Pay market makers. ❌ Buy artificial volume. ❌ Create the illusion of overnight success. Jeff didn’t press that button. Instead of buying temporary liquidity, Hyperliquid chose the hard, honest path: 1️⃣ No VC compromises 2️⃣ No paid market makers 3️⃣ No insider allocations When you build real infrastructure for real users, growth isn't fast—it’s unreplicable. At HyperAlpha, we stand by this ethos. Real execution. Real alpha. No noise. 🦾 Hydromancer Watch Episode 2 👇 #Hyperliquid #JeffYan #DeFi #Web3 #HyperAlpha $HYPE

HyperAlpha

30,395 Aufrufe • vor 1 Monat

GN, watch before bed How HLP turned community capital into an unstoppable liquidity engine. 🌊⚡️ Post Content: Episode 3 of jeff.hl story unveils the ultimate turning point: HLP. Traditional crypto trading relied on opaque, paid market makers. Jeff & Hyperliquid flipped the script: 💡 HLP (Hyper Liquidity Pool): 1️⃣ Open to Everyone: Ordinary users deposit USDC to back market liquidity. 2️⃣ Community-Driven: Decentralized market making without insider deals. 3️⃣ True Depth: Solving the biggest issue in DeFi trading—real, organic liquidity at scale. When liquidity is powered by the community rather than rented from Wall Street, the market finally trades freely. 🏛️ At HyperAlpha, we build on these exact core primitives—delivering real execution and automated alpha. Hydromancer Watch Episode 3 👇 #Hyperliquid #HLP #JeffYan #DeFi #Web3 #HyperAlpha $HYPE
1:50

GN, watch before bed How HLP turned community capital into an unstoppable liquidity engine. 🌊⚡️ Post Content: Episode 3 of jeff.hl story unveils the ultimate turning point: HLP. Traditional crypto trading relied on opaque, paid market makers. Jeff & Hyperliquid flipped the script: 💡 HLP (Hyper Liquidity Pool): 1️⃣ Open to Everyone: Ordinary users deposit USDC to back market liquidity. 2️⃣ Community-Driven: Decentralized market making without insider deals. 3️⃣ True Depth: Solving the biggest issue in DeFi trading—real, organic liquidity at scale. When liquidity is powered by the community rather than rented from Wall Street, the market finally trades freely. 🏛️ At HyperAlpha, we build on these exact core primitives—delivering real execution and automated alpha. Hydromancer Watch Episode 3 👇 #Hyperliquid #HLP #JeffYan #DeFi #Web3 #HyperAlpha $HYPE

HyperAlpha

15,748 Aufrufe • vor 1 Monat

This man 👇expresses his disgust over the attacks aimed at black men, not from white folks, but from other black men. * Magic Johnson, saying black men should vote for Harris as the only “acceptable” choice. * Obama having the audacity to tell hard working, mature black men voting for Trump is unacceptable. “…It’s to the point where it’s become redundant and just useless to talk about. It’s amazing to me how dumb and just how gullible that they think that we are, and the sad part is that many are just like that. It’s really frustrating. Now if a white man came out and told a black man that it’s unacceptable for him to vote a certain way black folks would be all up in arms… but then we allow another black man to come out and tell another black man, a grown black man on top of that, that he can’t do what he so desires.” “If there was a black man on the Republican side running for President black folks still wouldn’t vote for him.” 👇
2:37

This man 👇expresses his disgust over the attacks aimed at black men, not from white folks, but from other black men. * Magic Johnson, saying black men should vote for Harris as the only “acceptable” choice. * Obama having the audacity to tell hard working, mature black men voting for Trump is unacceptable. “…It’s to the point where it’s become redundant and just useless to talk about. It’s amazing to me how dumb and just how gullible that they think that we are, and the sad part is that many are just like that. It’s really frustrating. Now if a white man came out and told a black man that it’s unacceptable for him to vote a certain way black folks would be all up in arms… but then we allow another black man to come out and tell another black man, a grown black man on top of that, that he can’t do what he so desires.” “If there was a black man on the Republican side running for President black folks still wouldn’t vote for him.” 👇

Sequencer

424,781 Aufrufe • vor 1 Jahr

What if a crypto balance sheet was not just sitting there? What if it could become a growth engine? hyunsu.hl explains why Hyperion is building beyond the treasury model and how DeFi monetization, staking, and validator economics could create a new kind of public market company. Here’s my conversation with Hyunsu Jung. Timestamps: 0:00 - Why Hyperion DeFi is not just another crypto treasury 1:22 - Why Hyperliquid created a new kind of public company 3:03 - Hyunsu Jung’s background before Hyperion 5:31 - What most people still miss about DeFi monetization 7:30 - Why Hyperliquid is becoming a serious trading venue 9:21 - Breaking down the triple dip strategy 12:08 - The five revenue streams behind Hyperion 15:11 - How off chain capital connects to on chain DeFi 16:23 - The profit model and why execution matters 19:25 - What makes Hyperion different from MicroStrategy 21:04 - Why Hyperliquid’s numbers are hard to ignore 24:25 - Why traditional traders are paying attention now 28:06 - How investors can access Hyperion DeFi through public markets 30:07 - The Inovia pivot and the investors behind Hyperion 32:53 - What could break the model and how risk is managed 35:20 - Why Hyperion is all in on Hyperliquid 37:39 - HIP4, new market structures, and what comes next 39:47 - Inside the team building Hyperion 41:04 - Will more DATs launch on Hyperliquid 43:57 - Lightning round on HYPE, DeFi, and real alpha 47:13 - Hyunsu Jung on meaning, leadership, and building at the right time Watch the full video on YouTube: #HyunsuJung #ConstantinKogan #HyperionDeFi #Hyperliquid #DeFi #Crypto #PublicMarkets #DigitalAssetTreasury #HYPE #Blockchain #HolisticInvestments
51:27

What if a crypto balance sheet was not just sitting there? What if it could become a growth engine? hyunsu.hl explains why Hyperion is building beyond the treasury model and how DeFi monetization, staking, and validator economics could create a new kind of public market company. Here’s my conversation with Hyunsu Jung. Timestamps: 0:00 - Why Hyperion DeFi is not just another crypto treasury 1:22 - Why Hyperliquid created a new kind of public company 3:03 - Hyunsu Jung’s background before Hyperion 5:31 - What most people still miss about DeFi monetization 7:30 - Why Hyperliquid is becoming a serious trading venue 9:21 - Breaking down the triple dip strategy 12:08 - The five revenue streams behind Hyperion 15:11 - How off chain capital connects to on chain DeFi 16:23 - The profit model and why execution matters 19:25 - What makes Hyperion different from MicroStrategy 21:04 - Why Hyperliquid’s numbers are hard to ignore 24:25 - Why traditional traders are paying attention now 28:06 - How investors can access Hyperion DeFi through public markets 30:07 - The Inovia pivot and the investors behind Hyperion 32:53 - What could break the model and how risk is managed 35:20 - Why Hyperion is all in on Hyperliquid 37:39 - HIP4, new market structures, and what comes next 39:47 - Inside the team building Hyperion 41:04 - Will more DATs launch on Hyperliquid 43:57 - Lightning round on HYPE, DeFi, and real alpha 47:13 - Hyunsu Jung on meaning, leadership, and building at the right time Watch the full video on YouTube: #HyunsuJung #ConstantinKogan #HyperionDeFi #Hyperliquid #DeFi #Crypto #PublicMarkets #DigitalAssetTreasury #HYPE #Blockchain #HolisticInvestments

Constantin Kogan

31,611 Aufrufe • vor 4 Monaten

E159: Hyperliquid: Housing all of Finance jeff.hl came back on the When Shift Happens Podcast to talk about the Hyperliquid journey since the TGE and what the future holds for one of the most loved and prolific protocols in the space Hyperliquid Timestamps 0:00 Intro 2:01 Singapore 2:27 Reminiscing on the Token Launch 5:00 Was This Scale Of Wealth Expected? 6:28 Doing The Right Thing In Crypto 9:07 The Responsibility that comes with Billions of $ 11:10 Jupiter KAST 11:51 Bringing Hyperliquid to the masses 15:21 Pre TGE and Post TGE: Operational difference 20:13 Choices on what to build Internally vs Externally 22:05 How to build a reliable team 24:51 Did the Team celebrate the HYPE wealth Generation event? 26:45 How to test talents for High Integrity 28:31 How much does the Hyperliquid team sleep? 30:05 Employee Vesting Fears 31:41 Dealing with FUD 32:28 How Does Jeff Personally Handle FUD 35:02 Token "Buybacks" critics 37:20 Why Hyperliquid can't have Discretionary "Buybacks" 39:04 HyperEVM, explained Simply 40:00 Paradex Zodl 40:41 HyperEVM: Success so Far? 44:05 HIP-3, explained Simply 47:44 What makes Hyperliquid's approach different 48:19 Why Should People Care? 51:33 Bring All Finance On Chain 52:08 Why Is The Hyperliquid Approach Better? 53:47 Key Numbers showing that Hyperliquid Is Doing it right 59:01 What Has the Unit team demonstrated with spot trading on Hyperliquid in 2025 1:03:29 HIP-4: Outcome Markets 1:08:01 Trezor Sui 1:08:58 What does "Housing All Of Finance" mean? 1:10:51 Why Hyperliquid is not a crypto company 1:12:23 Why Does Hyperliquid have A Stablecoin USDH (Native Markets) 1:14:39 What Is Kinetiq & Why Does It Matter? 1:16:15 Why Is What HyperLend Is Building Important For HyperLiquid 1:23:39 Where did Fairness cost the most? 1:24:47 What should Hyperliquid be Remembered for? 1:25:24 Why should people stay in Crypto when there's an AI brain drain? 1:28:10 Closing Thoughts
1:29:06

E159: Hyperliquid: Housing all of Finance jeff.hl came back on the When Shift Happens Podcast to talk about the Hyperliquid journey since the TGE and what the future holds for one of the most loved and prolific protocols in the space Hyperliquid Timestamps 0:00 Intro 2:01 Singapore 2:27 Reminiscing on the Token Launch 5:00 Was This Scale Of Wealth Expected? 6:28 Doing The Right Thing In Crypto 9:07 The Responsibility that comes with Billions of $ 11:10 Jupiter KAST 11:51 Bringing Hyperliquid to the masses 15:21 Pre TGE and Post TGE: Operational difference 20:13 Choices on what to build Internally vs Externally 22:05 How to build a reliable team 24:51 Did the Team celebrate the HYPE wealth Generation event? 26:45 How to test talents for High Integrity 28:31 How much does the Hyperliquid team sleep? 30:05 Employee Vesting Fears 31:41 Dealing with FUD 32:28 How Does Jeff Personally Handle FUD 35:02 Token "Buybacks" critics 37:20 Why Hyperliquid can't have Discretionary "Buybacks" 39:04 HyperEVM, explained Simply 40:00 Paradex Zodl 40:41 HyperEVM: Success so Far? 44:05 HIP-3, explained Simply 47:44 What makes Hyperliquid's approach different 48:19 Why Should People Care? 51:33 Bring All Finance On Chain 52:08 Why Is The Hyperliquid Approach Better? 53:47 Key Numbers showing that Hyperliquid Is Doing it right 59:01 What Has the Unit team demonstrated with spot trading on Hyperliquid in 2025 1:03:29 HIP-4: Outcome Markets 1:08:01 Trezor Sui 1:08:58 What does "Housing All Of Finance" mean? 1:10:51 Why Hyperliquid is not a crypto company 1:12:23 Why Does Hyperliquid have A Stablecoin USDH (Native Markets) 1:14:39 What Is Kinetiq & Why Does It Matter? 1:16:15 Why Is What HyperLend Is Building Important For HyperLiquid 1:23:39 Where did Fairness cost the most? 1:24:47 What should Hyperliquid be Remembered for? 1:25:24 Why should people stay in Crypto when there's an AI brain drain? 1:28:10 Closing Thoughts

MR SHIFT 🦁

579,432 Aufrufe • vor 6 Monaten

So miss cooking with Kya not only cheated on her 21 year old boyfriend but says she did it because he’s a bum! Were it not for the internet she would be a bum too. But if he’s a bum why were u sleeping with him why didn’t u just leave? This is why black women lead the world in STDs because they sleep with multiple men at once raw! She blamed him instead of leaving him and yall questioning why Travis hunter and more black men are with non black women? This is disgusting. Black women can do no wrong let them tell it!
0:56

Sensitive content

So miss cooking with Kya not only cheated on her 21 year old boyfriend but says she did it because he’s a bum! Were it not for the internet she would be a bum too. But if he’s a bum why were u sleeping with him why didn’t u just leave? This is why black women lead the world in STDs because they sleep with multiple men at once raw! She blamed him instead of leaving him and yall questioning why Travis hunter and more black men are with non black women? This is disgusting. Black women can do no wrong let them tell it!

Tommy 'Tj' Sotomayor

52,722 Aufrufe • vor 1 Jahr

A Poem About Real Friends vs Fake Friends - Imām Al-Shafi’ī: If a person has no concern for you except superficially Then leave him, and do not be deeply saddened by him For there are replacements (for him) among the people And abandoning him is actually serenity In the heart there is patience towards the one it loves despite his mistreatment (at times) Not everyone that you love equally loves you truly with his heart And not everyone that you treat sincerely is sincere to you If the love is not pure and sincere Then there is no good in affection that is superficial There is no good in a friend who deceives his companion And mistreats him after showing him affection And denies the relationship that existed long ago Revealing secrets that yesterday were hidden Farewell to the world, if there ceases to be a sincere, honest and just friend
0:52

A Poem About Real Friends vs Fake Friends - Imām Al-Shafi’ī: If a person has no concern for you except superficially Then leave him, and do not be deeply saddened by him For there are replacements (for him) among the people And abandoning him is actually serenity In the heart there is patience towards the one it loves despite his mistreatment (at times) Not everyone that you love equally loves you truly with his heart And not everyone that you treat sincerely is sincere to you If the love is not pure and sincere Then there is no good in affection that is superficial There is no good in a friend who deceives his companion And mistreats him after showing him affection And denies the relationship that existed long ago Revealing secrets that yesterday were hidden Farewell to the world, if there ceases to be a sincere, honest and just friend

Hikmah Publications

70,897 Aufrufe • vor 2 Jahren

Theoretical physicist Michio Kaku on why aging is simply an accumulation of errors that AI can now identify: He opens with a bold claim about what artificial intelligence might finally make possible: "Artificial intelligence may give us something that the kings and queens of old could never conquer and that is the aging process." For Dr. Michio Kaku, the science behind why we age is no longer a mystery. It comes down to one thing: errors building up inside our cells over time. "We now know why things age. Things get old and die because they accumulate error. Error in the form of DNA mistakes. Accumulation of errors inside cells." The challenge, until now, has been the sheer scale of the problem. Identifying exactly where and how these errors occur across the human genome has been beyond what conventional research could handle. That's where artificial intelligence changes everything: "But now we have artificial intelligence. We can analyze millions of genomes of old people, compare them to millions of genomes of young people, and identify where aging takes place in the body."
0:42

Theoretical physicist Michio Kaku on why aging is simply an accumulation of errors that AI can now identify: He opens with a bold claim about what artificial intelligence might finally make possible: "Artificial intelligence may give us something that the kings and queens of old could never conquer and that is the aging process." For Dr. Michio Kaku, the science behind why we age is no longer a mystery. It comes down to one thing: errors building up inside our cells over time. "We now know why things age. Things get old and die because they accumulate error. Error in the form of DNA mistakes. Accumulation of errors inside cells." The challenge, until now, has been the sheer scale of the problem. Identifying exactly where and how these errors occur across the human genome has been beyond what conventional research could handle. That's where artificial intelligence changes everything: "But now we have artificial intelligence. We can analyze millions of genomes of old people, compare them to millions of genomes of young people, and identify where aging takes place in the body."

Big Brain AI

78,764 Aufrufe • vor 3 Monaten

🎙 The Sujal Show Ep. 11: Arthur Hayes “Why I’m Betting Big on Hyperliquid (Over Bitcoin)” The man behind BitMEX, Arthur Hayes, reveals why 90% of traders lose money, says decentralization is “mostly marketing,” why he’s all-in on Hyperliquid & Zcash, 3 altcoins, & gives his 2028 election thesis and how it will affect Bitcoin. We Discussed on The Sujal Show: - The 2017 moment BitMEX started printing real money - Why insider trading should be legal - Why 90% of traders lose money (90/10 rule of trading) - How to build wealth in crypto - His $150 price target for Hyperliquid by end of August - Why Hyperliquid could become the largest exchange in the world - His take on Gracy Chen's "Hyperliquid is centralized" claim - Narrative that will make stupid money - His portfolio revealed - The timeline for Bitcoin to hit $500k (gave a specific year) - Why Ethereum is still the best L1 - Zcash to $2,000–$3,000? & 10% Of Bitcoin His privacy thesis - 3 coins to outperform Bitcoin TIMESTAMPS 00:00 Intro 02:08 How to Get Rich in Crypto Without Gambling 03:30 Why 90% of Traders Lose Money 05:32 Will AI Replace 99% of Traders? 06:23 How Salaried People Should Build Wealth in Crypto 07:25 Arthur Hayes’ Current Portfolio 07:35 Is Ethereum Still a Long-Term Bet? 08:19 Zcash to $2,000–$3,000? 09:09 Can Quantum Computing Threaten Bitcoin & Zcash? 09:42 Hyperliquid Price Prediction 10:14 How Big Can Hyperliquid Become? 11:05 Is Hyperliquid Really Decentralized? 13:11 Is Bitcoin Truly Decentralized? 13:50 Has Bitcoin Bottomed Already? 14:47 Bitcoin Future Prediction 16:34 Should Insider Trading Be Legal? 17:37 Would Legal Insider Trading Make Markets More Manipulative? 19:25 The Sujal Show Prediction Round 23:59 Is Trump Good or Bad for Crypto? 25:22 Advice for the Younger Generation From Citibank fired to crypto billionaire. His trading psychology will good for to recover loss Watch now 👇
26:32

🎙 The Sujal Show Ep. 11: Arthur Hayes “Why I’m Betting Big on Hyperliquid (Over Bitcoin)” The man behind BitMEX, Arthur Hayes, reveals why 90% of traders lose money, says decentralization is “mostly marketing,” why he’s all-in on Hyperliquid & Zcash, 3 altcoins, & gives his 2028 election thesis and how it will affect Bitcoin. We Discussed on The Sujal Show: - The 2017 moment BitMEX started printing real money - Why insider trading should be legal - Why 90% of traders lose money (90/10 rule of trading) - How to build wealth in crypto - His $150 price target for Hyperliquid by end of August - Why Hyperliquid could become the largest exchange in the world - His take on Gracy Chen's "Hyperliquid is centralized" claim - Narrative that will make stupid money - His portfolio revealed - The timeline for Bitcoin to hit $500k (gave a specific year) - Why Ethereum is still the best L1 - Zcash to $2,000–$3,000? & 10% Of Bitcoin His privacy thesis - 3 coins to outperform Bitcoin TIMESTAMPS 00:00 Intro 02:08 How to Get Rich in Crypto Without Gambling 03:30 Why 90% of Traders Lose Money 05:32 Will AI Replace 99% of Traders? 06:23 How Salaried People Should Build Wealth in Crypto 07:25 Arthur Hayes’ Current Portfolio 07:35 Is Ethereum Still a Long-Term Bet? 08:19 Zcash to $2,000–$3,000? 09:09 Can Quantum Computing Threaten Bitcoin & Zcash? 09:42 Hyperliquid Price Prediction 10:14 How Big Can Hyperliquid Become? 11:05 Is Hyperliquid Really Decentralized? 13:11 Is Bitcoin Truly Decentralized? 13:50 Has Bitcoin Bottomed Already? 14:47 Bitcoin Future Prediction 16:34 Should Insider Trading Be Legal? 17:37 Would Legal Insider Trading Make Markets More Manipulative? 19:25 The Sujal Show Prediction Round 23:59 Is Trump Good or Bad for Crypto? 25:22 Advice for the Younger Generation From Citibank fired to crypto billionaire. His trading psychology will good for to recover loss Watch now 👇

Sujal Jethwani

105,829 Aufrufe • vor 3 Monaten

Trade on Hyperliquid with Natural Language 🐉 We just made trading on Hyperliquid faster, simpler, and way more accessible. Cortex now supports Hyperliquid, fully integrated into our natural language interface. That means you can trade directly from chat using plain English: "Long 20x BTC at market, set TP at $110k, SL at $105k" "What is the funding rate for ETH-PERP?" "Close all my positions!" Behind the scenes, Cortex handles everything: parsing your intent, checking your balances, placing the trade on-chain, and tracking the position in real time. No forms, no buttons, no guesswork. What’s New Full Hyperliquid Terminal, Powered by Language - Access funding rates, open interest, volume, orderbook, and positions across all pairs, LIVE. Novel Trade Execution in Natural Language - Market, limit, stop, TP/SL executed in real-time via plain text commands. It’s the fastest way to trade Hyperliquid. - One click, signless position opening and closing. HYPE Onboarding Built In - New to Hyperliquid? Cortex walks you through buying $HYPE, bridging USDC to Arbitrum, and funding your account all in one UI. No need to leave the app or touch a separate bridge. Live Position Tracking - See your active positions update as you trade. Ask “how’s my BTC long doing?” and Cortex tells you: P&L, liquidation risk, everything. - Examine all of your on-chain balances, including HyperCore and HyperEVM. Hyperliquid is one of the fastest-growing protocols in DeFi ever with an incredibly rich, builder-friendly, and growing ecosystem, but onboarding has been a pain: bridging, swapping, funding, trading, etc. fragmented. We fixed that. Cortex brings it all into one place, one interface, and one language: yours. Try It Now! Jump into the Cortex app and type: “Open a 5x long on ETH” We'll handle the rest. Welcome to the new standard in crypto trading. Hyperliquid.
0:48

Trade on Hyperliquid with Natural Language 🐉 We just made trading on Hyperliquid faster, simpler, and way more accessible. Cortex now supports Hyperliquid, fully integrated into our natural language interface. That means you can trade directly from chat using plain English: "Long 20x BTC at market, set TP at $110k, SL at $105k" "What is the funding rate for ETH-PERP?" "Close all my positions!" Behind the scenes, Cortex handles everything: parsing your intent, checking your balances, placing the trade on-chain, and tracking the position in real time. No forms, no buttons, no guesswork. What’s New Full Hyperliquid Terminal, Powered by Language - Access funding rates, open interest, volume, orderbook, and positions across all pairs, LIVE. Novel Trade Execution in Natural Language - Market, limit, stop, TP/SL executed in real-time via plain text commands. It’s the fastest way to trade Hyperliquid. - One click, signless position opening and closing. HYPE Onboarding Built In - New to Hyperliquid? Cortex walks you through buying $HYPE, bridging USDC to Arbitrum, and funding your account all in one UI. No need to leave the app or touch a separate bridge. Live Position Tracking - See your active positions update as you trade. Ask “how’s my BTC long doing?” and Cortex tells you: P&L, liquidation risk, everything. - Examine all of your on-chain balances, including HyperCore and HyperEVM. Hyperliquid is one of the fastest-growing protocols in DeFi ever with an incredibly rich, builder-friendly, and growing ecosystem, but onboarding has been a pain: bridging, swapping, funding, trading, etc. fragmented. We fixed that. Cortex brings it all into one place, one interface, and one language: yours. Try It Now! Jump into the Cortex app and type: “Open a 5x long on ETH” We'll handle the rest. Welcome to the new standard in crypto trading. Hyperliquid.

cortexprotocol.hl

23,782 Aufrufe • vor 1 Jahr

Ever since its airdrop in November, $HYPE has been on a tear 🔥. On Unchained, Arthur Hayes & Hans explain: 🚀 what actually fueled Hyperliquid’s rise 🪙 why the Wynn saga looks like a clever farm 📉 how Robinhood and Coinbase could be a real threat 🧠 and why HIP-3 is the DEX “holy grail” Timestamps: 🎬 0:00 Intro 🔥 3:25 Why Arthur says the future of perps is onchain—and what that changes 🚀 6:58 How Hyperliquid managed to climb the ranks without VCs 🧱 9:45 Whether being its own L1 gives Hyperliquid an edge 🔍 12:44 How Hanson adapts market making in a fully transparent environment 🕵️‍♂️ 16:40 Why Arthur doesn’t buy the James Wynn story 💸 20:56 Whether the types of traders on Hyperliquid are different than on other venues ⚔️ 22:14 How Hyperliquid could defend itself when Coinbase and Robinhood enter the arena 🔐 26:18 What Arthur and Hanson think about Jeff Yan’s post saying transparency benefits users 🐙 32:59 Did Binance and OKX try to sabotage Hyperliquid during the $JELLY event? 📊 38:24 Arthur answers his own question of whether Hyperliquid takes on Binance’s trading volume 🌘 42:20 Whether dark pool DEXes can fix transparency without killing decentralization 🔧 47:15 Why Hanson thinks the security FUD around Hyperliquid is overblown 🌏 50:20 Whether Asia’s crypto communities care less about decentralization 🧠 52:34 How Hyperliquid’s ecosystem play with HyperEVM could reshape its future 🏆 55:52 Why Arthur calls HIP-3 the “holy grail” for DEXes 🪙 1:00:01 Whether the HYPE buyback program is a good idea 📈 1:02:49 What Hyperliquid must get right as Coinbase and Robinhood show up Thank you to our sponsors! Xapo Bank Bitwise
1:20:08

Ever since its airdrop in November, $HYPE has been on a tear 🔥. On Unchained, Arthur Hayes & Hans explain: 🚀 what actually fueled Hyperliquid’s rise 🪙 why the Wynn saga looks like a clever farm 📉 how Robinhood and Coinbase could be a real threat 🧠 and why HIP-3 is the DEX “holy grail” Timestamps: 🎬 0:00 Intro 🔥 3:25 Why Arthur says the future of perps is onchain—and what that changes 🚀 6:58 How Hyperliquid managed to climb the ranks without VCs 🧱 9:45 Whether being its own L1 gives Hyperliquid an edge 🔍 12:44 How Hanson adapts market making in a fully transparent environment 🕵️‍♂️ 16:40 Why Arthur doesn’t buy the James Wynn story 💸 20:56 Whether the types of traders on Hyperliquid are different than on other venues ⚔️ 22:14 How Hyperliquid could defend itself when Coinbase and Robinhood enter the arena 🔐 26:18 What Arthur and Hanson think about Jeff Yan’s post saying transparency benefits users 🐙 32:59 Did Binance and OKX try to sabotage Hyperliquid during the $JELLY event? 📊 38:24 Arthur answers his own question of whether Hyperliquid takes on Binance’s trading volume 🌘 42:20 Whether dark pool DEXes can fix transparency without killing decentralization 🔧 47:15 Why Hanson thinks the security FUD around Hyperliquid is overblown 🌏 50:20 Whether Asia’s crypto communities care less about decentralization 🧠 52:34 How Hyperliquid’s ecosystem play with HyperEVM could reshape its future 🏆 55:52 Why Arthur calls HIP-3 the “holy grail” for DEXes 🪙 1:00:01 Whether the HYPE buyback program is a good idea 📈 1:02:49 What Hyperliquid must get right as Coinbase and Robinhood show up Thank you to our sponsors! Xapo Bank Bitwise

Laura Shin

52,573 Aufrufe • vor 1 Jahr

Adin Ross is David Kleinfeld He uses his money to buy black friends For protection which gives him the false Belief that with those black men On his payroll (A All black security team) (Certain black rappers and street guys) Behind him he can now say what he wants About black people and disrespect Street guys and whoever he wants Because he feels protected by his money As soon as glasses Malone calls him out for disrespecting black women He calls another black man to help him Out of the situation that his mouth got him into We’ve seen this with dj Ak also They all run to wack So we all know at least in LA they pay him for protection and for a fake friendship (Easy money to take from nerds like them) But When will niggas stop taking the money Over the community.. Never.. we had that issue in the 70s With the panthers going against the pimps
1:11

Adin Ross is David Kleinfeld He uses his money to buy black friends For protection which gives him the false Belief that with those black men On his payroll (A All black security team) (Certain black rappers and street guys) Behind him he can now say what he wants About black people and disrespect Street guys and whoever he wants Because he feels protected by his money As soon as glasses Malone calls him out for disrespecting black women He calls another black man to help him Out of the situation that his mouth got him into We’ve seen this with dj Ak also They all run to wack So we all know at least in LA they pay him for protection and for a fake friendship (Easy money to take from nerds like them) But When will niggas stop taking the money Over the community.. Never.. we had that issue in the 70s With the panthers going against the pimps

MASTER STUDENT🤲🏾

53,902 Aufrufe • vor 7 Monaten

The "Black Box" Protocol: What Epstein Knew About the AI End-Game The January 2026 DOJ dump just confirmed what many of us suspected: Jeffrey Epstein wasn't just a "socialite" he was a scout for the tech elite’s most dangerous ambitions. In this newly surfaced clip from the 2019 Bannon interviews, Epstein breaks down the "strangeness" of Artificial Intelligence. He doesn't talk about it like a tool; he talks about it as a Black Box, a system where the input and output are known, but the "logic" in the middle is intentionally untraceable. Why does this matter now? • Laundering Accountability: Epstein understood that if you move the world’s most sensitive decisions (finance, surveillance, social engineering) into a "black box" AI, you remove human liability. • The "Monster" Rebrand: While Bannon was trying to rebrand Epstein, Epstein was busy explaining how the next generation of "monsters" wouldn't be people, they would be algorithms we aren't allowed to audit. • The Tech Elite Connection: Look at the names in these files: Gates, Musk, Page, Brin. They weren't just "hanging out"; they were discussing the future of sentient systems and biological data. Epstein’s obsession wasn't just with the present, it was with a future where the "Black Box" rules everything, and the people behind the curtain remain invisible. The question we should be asking: Is the AI "black box" a technical limitation, or a pre-planned feature for the ultimate surveillance state? #EpsteinFiles2026 #AI #BlackBox #BannonTapes #SovereignOwl #JungleInc
1:35

The "Black Box" Protocol: What Epstein Knew About the AI End-Game The January 2026 DOJ dump just confirmed what many of us suspected: Jeffrey Epstein wasn't just a "socialite" he was a scout for the tech elite’s most dangerous ambitions. In this newly surfaced clip from the 2019 Bannon interviews, Epstein breaks down the "strangeness" of Artificial Intelligence. He doesn't talk about it like a tool; he talks about it as a Black Box, a system where the input and output are known, but the "logic" in the middle is intentionally untraceable. Why does this matter now? • Laundering Accountability: Epstein understood that if you move the world’s most sensitive decisions (finance, surveillance, social engineering) into a "black box" AI, you remove human liability. • The "Monster" Rebrand: While Bannon was trying to rebrand Epstein, Epstein was busy explaining how the next generation of "monsters" wouldn't be people, they would be algorithms we aren't allowed to audit. • The Tech Elite Connection: Look at the names in these files: Gates, Musk, Page, Brin. They weren't just "hanging out"; they were discussing the future of sentient systems and biological data. Epstein’s obsession wasn't just with the present, it was with a future where the "Black Box" rules everything, and the people behind the curtain remain invisible. The question we should be asking: Is the AI "black box" a technical limitation, or a pre-planned feature for the ultimate surveillance state? #EpsteinFiles2026 #AI #BlackBox #BannonTapes #SovereignOwl #JungleInc

Jungle Inc | Markets & Future Systems

71,281 Aufrufe • vor 6 Monaten

Jeff Bezos in 1999 on why "Internet Shminternet" doesn't matter: Jeff was being challenged on whether Amazon is still an internet company. They had 3,000 employees and over 4 million square feet of distribution centers. The interviewer pushes back: "You're not really a pure Internet company anymore either. You've got millions of square feet of real estate, growing inventory, thousands of employees." Jeff's response: "I'm very proud of that because with that distribution center space and half a dozen distribution centers around the country, it allows us to get product close to customers so we can ship it in a timely way which improves customer service levels. That's what we're about." The interviewer tries again: "But you're not a pure Internet play." Jeff fires back: "It doesn't matter to me whether we're a pure Internet play. What matters to me is we provide the best customer service. Internet Shminternet. That doesn't matter." On what investors should care about: "They should be investing in a company that obsesses over customer experience in the long term. There is never any misalignment between customer interests and shareholder interests." The interviewer accuses him of corporate arrogance: "Isn't it corporate arrogance to assume that you can come into these businesses which you have no experience in and virtually overnight become the best and the market leader?" Jeff's response: "When we first started selling books four years ago, everybody said 'you're just computer guys, you don't know anything about selling books.' And that was true. But we really cared about customers and now we know a lot about books. We hired the right people. We take the commitment to the customer very seriously." On the risk: "There's no guarantee that Amazon(.com) can be a successful company. What we're trying to do is very complicated. There's huge execution risk involved. We have a terribly complicated business. But this is the less risky of the two approaches because scale is important in this business." Customer obsession beats everything else.
6:35

Jeff Bezos in 1999 on why "Internet Shminternet" doesn't matter: Jeff was being challenged on whether Amazon is still an internet company. They had 3,000 employees and over 4 million square feet of distribution centers. The interviewer pushes back: "You're not really a pure Internet company anymore either. You've got millions of square feet of real estate, growing inventory, thousands of employees." Jeff's response: "I'm very proud of that because with that distribution center space and half a dozen distribution centers around the country, it allows us to get product close to customers so we can ship it in a timely way which improves customer service levels. That's what we're about." The interviewer tries again: "But you're not a pure Internet play." Jeff fires back: "It doesn't matter to me whether we're a pure Internet play. What matters to me is we provide the best customer service. Internet Shminternet. That doesn't matter." On what investors should care about: "They should be investing in a company that obsesses over customer experience in the long term. There is never any misalignment between customer interests and shareholder interests." The interviewer accuses him of corporate arrogance: "Isn't it corporate arrogance to assume that you can come into these businesses which you have no experience in and virtually overnight become the best and the market leader?" Jeff's response: "When we first started selling books four years ago, everybody said 'you're just computer guys, you don't know anything about selling books.' And that was true. But we really cared about customers and now we know a lot about books. We hired the right people. We take the commitment to the customer very seriously." On the risk: "There's no guarantee that Amazon(.com) can be a successful company. What we're trying to do is very complicated. There's huge execution risk involved. We have a terribly complicated business. But this is the less risky of the two approaches because scale is important in this business." Customer obsession beats everything else.

Jaynit

28,602 Aufrufe • vor 7 Monaten

Will we ever be able to simulate a living cell? In theory. Molecules collide, proteins fold, and all of these things can be modeled on a computer. But there are so many unknowns, and so much compute would be required, that a mechanistic model of the cell remains a distant dream. Still, many research groups are trying to build cells "from the bottom up," mostly by stringing together mathematical equations that represent different parts of the cell. By *trying* to build an accurate model of the cell, they hope to improve our own understanding of how biology works. In doing so, they also maintain legibility, meaning that humans can understand and interpret all the equations used to construct the model. But Adam Green argues that legibility is a constraint on our models. He thinks that "human legibility, our ability to understand a system...has been limiting us." To truly accelerate biomedical progress, Green thinks that we should discard assumptions about legibility in favor of "more black box" models. Neural networks can make sense of biological data in a way that hard-coded equations cannot. This is not a new argument. A 2019 essay by Bert Hubert, called "Is biology too complex to ever understand?" makes much the same point. In that essay, Hubert writes: "There is no rule that says nature cannot be more complex than our brains can handle." Instead of trying to make sense of biology via reductionist observations and mechanisms, Hubert argues that we should just gather everything into databases "that might enable computers to make sense of what we have learned." (This vision is now playing out in many research groups.) This "black box" approach might be useful (in terms of modeling cells to cure diseases, say) but would be unsatisfying in the sense that it doesn't deepen our own understanding of the universe. And isn't that a key part of science? Is science for humans -- an act that satisfies some itch -- or rather a means to an end? I think both approaches are useful. The black box models may help us cure diseases faster by making useful predictions that our brains cannot (currently) comprehend, but the mechanistic models deepen our own understanding of how cells work.
2:26

Will we ever be able to simulate a living cell? In theory. Molecules collide, proteins fold, and all of these things can be modeled on a computer. But there are so many unknowns, and so much compute would be required, that a mechanistic model of the cell remains a distant dream. Still, many research groups are trying to build cells "from the bottom up," mostly by stringing together mathematical equations that represent different parts of the cell. By *trying* to build an accurate model of the cell, they hope to improve our own understanding of how biology works. In doing so, they also maintain legibility, meaning that humans can understand and interpret all the equations used to construct the model. But Adam Green argues that legibility is a constraint on our models. He thinks that "human legibility, our ability to understand a system...has been limiting us." To truly accelerate biomedical progress, Green thinks that we should discard assumptions about legibility in favor of "more black box" models. Neural networks can make sense of biological data in a way that hard-coded equations cannot. This is not a new argument. A 2019 essay by Bert Hubert, called "Is biology too complex to ever understand?" makes much the same point. In that essay, Hubert writes: "There is no rule that says nature cannot be more complex than our brains can handle." Instead of trying to make sense of biology via reductionist observations and mechanisms, Hubert argues that we should just gather everything into databases "that might enable computers to make sense of what we have learned." (This vision is now playing out in many research groups.) This "black box" approach might be useful (in terms of modeling cells to cure diseases, say) but would be unsatisfying in the sense that it doesn't deepen our own understanding of the universe. And isn't that a key part of science? Is science for humans -- an act that satisfies some itch -- or rather a means to an end? I think both approaches are useful. The black box models may help us cure diseases faster by making useful predictions that our brains cannot (currently) comprehend, but the mechanistic models deepen our own understanding of how cells work.

Niko McCarty.

16,382 Aufrufe • vor 2 Monaten

Jason Arday shouldn’t be dead. But he is dead - because he didn’t tell the truth. And Cambridge University didn’t look for the truth - because he’s black. And fellow black professors didn’t ask for the truth - because he is black. Jason lied repeatedly. And he told the exact lies that allow one to excel in the system that elite universities have adopted. A system that factors in race, hardship, and lived experience under the banner of equity, instead of pure performance. Nearly everyone in these institutions ignored Jason’s lies, to try and protect black people. They called the people seeking the truth racists. Of course there were some racists. But the majority of people just wanted the truth. Avoiding the truth didn’t help black people. Double standards in academia aren’t helping black people. They hurt the perception of black people who are truly the best, and would have held prestigious positions at elite schools, solely off the merits of their performance. Double standards always backfire. Even when well intentioned. Even when intended to correct for past oppression. Race-conscious hiring and admissions have created a situation where it is rational to wonder whether a black person has achieved their position because they were simply the best, or because they were good enough, and black. This is not a racist thought. It’s a rational thing to wonder when a system promotes people based on race. It’s a thing I’ve wondered about myself, as someone who graduated from Harvard - which had race-conscious admissions. No amount of insistence that it’s racist will make it racist. It’s no more racist than it would be to wonder whether a white player got into the NBA off of just performance, if the NBA decided to focus on “fixing” the underrepresentation of white people. This is the logical downside of race-conscious hiring and admissions. You can think the downside is worth the upside. But the downside remains. Calling people with legitimate concerns racist didn’t protect black people. It didn’t protect Jason. It hurt black people who have earned their positions. And it allowed a troubled man who built his career on lies to rise to a height so great that his fall from grace killed him. We could have just had the truth. Instead, we have a tragedy.
3:36

Jason Arday shouldn’t be dead. But he is dead - because he didn’t tell the truth. And Cambridge University didn’t look for the truth - because he’s black. And fellow black professors didn’t ask for the truth - because he is black. Jason lied repeatedly. And he told the exact lies that allow one to excel in the system that elite universities have adopted. A system that factors in race, hardship, and lived experience under the banner of equity, instead of pure performance. Nearly everyone in these institutions ignored Jason’s lies, to try and protect black people. They called the people seeking the truth racists. Of course there were some racists. But the majority of people just wanted the truth. Avoiding the truth didn’t help black people. Double standards in academia aren’t helping black people. They hurt the perception of black people who are truly the best, and would have held prestigious positions at elite schools, solely off the merits of their performance. Double standards always backfire. Even when well intentioned. Even when intended to correct for past oppression. Race-conscious hiring and admissions have created a situation where it is rational to wonder whether a black person has achieved their position because they were simply the best, or because they were good enough, and black. This is not a racist thought. It’s a rational thing to wonder when a system promotes people based on race. It’s a thing I’ve wondered about myself, as someone who graduated from Harvard - which had race-conscious admissions. No amount of insistence that it’s racist will make it racist. It’s no more racist than it would be to wonder whether a white player got into the NBA off of just performance, if the NBA decided to focus on “fixing” the underrepresentation of white people. This is the logical downside of race-conscious hiring and admissions. You can think the downside is worth the upside. But the downside remains. Calling people with legitimate concerns racist didn’t protect black people. It didn’t protect Jason. It hurt black people who have earned their positions. And it allowed a troubled man who built his career on lies to rise to a height so great that his fall from grace killed him. We could have just had the truth. Instead, we have a tragedy.

Kaizen D. Asiedu

1,068,087 Aufrufe • vor 5 Tagen

No, Raoul Pal - the GDP equation is not going to change. And you are making so many mistakes in the video- and in the equations in it - that I found it necessary to correct them. Watch my free video attached, where I go through the components of the GDP equation and explain exactly where the errors are. DISCLAIMER: This is NOT an attack. It is intended as constructive and positive input - a correction of something that is being presented as fact, but is simply incorrect. We must be able to point out theories or stated facts, which are incorrect - in a positive manner. But Black - will never be Yellow or Green. And if you state that they are the same - I will forever disagree. Have a great day 🙂
13:52

No, Raoul Pal - the GDP equation is not going to change. And you are making so many mistakes in the video- and in the equations in it - that I found it necessary to correct them. Watch my free video attached, where I go through the components of the GDP equation and explain exactly where the errors are. DISCLAIMER: This is NOT an attack. It is intended as constructive and positive input - a correction of something that is being presented as fact, but is simply incorrect. We must be able to point out theories or stated facts, which are incorrect - in a positive manner. But Black - will never be Yellow or Green. And if you state that they are the same - I will forever disagree. Have a great day 🙂

Henrik Zeberg

46,812 Aufrufe • vor 10 Tagen

Everyone is talking about AI models, but almost no one is talking about data ownership. For years, centralized systems have dominated data pipelines, opaque processes, hidden biases, and zero contributor visibility. We call it innovation…, but in reality, it’s a black box. And that’s exactly how we ended up facing model degradation risks today. Because here’s the truth: AI is only as good as the data it learns from. That’s why Sovereign AI Data matters. To me, it means control, traceability, and accountability. Perle Labs is approaching this differently: ◈ On-chain provenance → Every data point is verifiable ◈ Expert-driven input → Quality over quantity ◈ Reputation systems → Trust becomes measurable This isn’t just a technical upgrade. It’s a paradigm shift. Instead of: Anonymous contributors ➠Unverified datasets ➠Centralized ownership ➠We move toward: Transparent data flows, Credible expertise and Distributed value creation If AI is the brain, then data is the memory. And right now most systems are learning from memory, which they can’t verify. Perle is solving that. While others focus on scaling models… This is about fixing the foundation they stand on. And foundations decide everything. #PerleAI #ToPerle participating in Perle Labs community campaign
1:37

Everyone is talking about AI models, but almost no one is talking about data ownership. For years, centralized systems have dominated data pipelines, opaque processes, hidden biases, and zero contributor visibility. We call it innovation…, but in reality, it’s a black box. And that’s exactly how we ended up facing model degradation risks today. Because here’s the truth: AI is only as good as the data it learns from. That’s why Sovereign AI Data matters. To me, it means control, traceability, and accountability. Perle Labs is approaching this differently: ◈ On-chain provenance → Every data point is verifiable ◈ Expert-driven input → Quality over quantity ◈ Reputation systems → Trust becomes measurable This isn’t just a technical upgrade. It’s a paradigm shift. Instead of: Anonymous contributors ➠Unverified datasets ➠Centralized ownership ➠We move toward: Transparent data flows, Credible expertise and Distributed value creation If AI is the brain, then data is the memory. And right now most systems are learning from memory, which they can’t verify. Perle is solving that. While others focus on scaling models… This is about fixing the foundation they stand on. And foundations decide everything. #PerleAI #ToPerle participating in Perle Labs community campaign

Big_Wealth❤️‍🔥

11,486 Aufrufe • vor 5 Monaten