Mahrez

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Mahrez

Mahrez

@mhrzxa

🔸Just Exploring Crypto & Web3 🔸Learning Something New Everyday!

Katılım Kasım 2024
1.9K Takip Edilen3.1K Takipçiler
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Mahrez
Mahrez@mhrzxa·
smart isn't enough when agents handle real money. they need to act without taking full control that's where Ledger's hardware anchored security comes in physical security, human control, without sacrificing automation 🤖 this video is a final human Confirmation step by Nabu 🔒
nabu@nabu_lines

agentic trading is coming to Robinhood the next challenge isn’t making agents smarter it’s making sure they can act without ever taking full control that’s where hardware-anchored security fits in thats the layer @Ledger brings

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Ledger
Ledger@Ledger·
Absolute certainty AND complete clarity. The Ledger Wallet™ app displays your whole portfolio landscape, while your touchscreen signer physically verifies the contract pathways. You don't have to choose anymore. Free from compromise 🔐
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Ramin Nasibov
Ramin Nasibov@RaminNasibov·
I don’t think anything is more annoying than this.
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Mahrez
Mahrez@mhrzxa·
@Ledger This is very great secure layer
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sello
sello@salimteymouri·
gm
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kianaa
kianaa@bull_base·
Good Monday morning fam💕
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Haru
Haru@haru_wtf·
GM :) happy new week🕷️
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MML
MML@onchainMML·
Gm only if you say it back ☀️☕️ Happy new week @IThinkItsArt
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Navy
Navy@navlld·
GM 𝕏 Family Have a successful week ahead 🤍🩶🖤
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Ledger
Ledger@Ledger·
pick one forever
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nabu
nabu@nabu_lines·
appreciate the wordcount fren, but let’s rewind the brief. the post said: fresh build, bugs and ui polish will happen, i’m looking for features i haven’t thought of yet. then you delivered: a pfp critique (polish), an onboarding walkthrough (polish), and “add a leaderboard” — to the guy whose every single app ships with a leaderboard by default. that’s not a feature, that’s a floor. also worth saying — the onboarding take assumes users who’ve never seen odds before. anyone who’s opened a book reads that screen in 2 seconds. know the audience before grading the ux. the one entry that actually won bounty energy so far? live odds updating mid-match when lines move. nobody suggested the obvious, they suggested the missing. that’s the assignment.
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Ramin Nasibov
Ramin Nasibov@RaminNasibov·
Which job won't exist in 50 years ?
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Morteza
Morteza@Mortezabihzadeh·
@mhrzxa haha do you have any ledger
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Mahrez
Mahrez@mhrzxa·
@nabu_lines @Ledger i enter the recovery words in my new ledger to regain access to my assets, easy pizy 😄
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Keith A. Grossman
Keith A. Grossman@KeithGrossman·
One of the most useful mental models I have learned came from @chr1sa at the beginning of my career … Most debates about new technologies are not actually about the technology. They are about the stage people believe it is in. Every transformative technology passes through four stages: ➡️ Science: Can it exist? ➡️ Technology: Can it work? ➡️ Business: Can it create value? ➡️ Culture: Can it become normal? But here is the mistake almost everyone makes: Most people judge every technology by the standards of the next stage, expecting revenue from technologies that are still engineering problems; expecting polished products from scientific breakthroughs; and expecting mass adoption from businesses that are still searching for product-market fit. The criticism is not necessarily wrong. It is often just early. This framework does not tell you which technologies will succeed. In fact, most will not. But every technology that changes the world must move through these stages. The Internet spent decades in research before it became commercial. AI spent decades in research before it became a platform. Today, nobody thinks about the technology underpinning sending a message or writing a post on X. Nobody thinks about satellites before opening Google or Apple Maps. The greatest technologies become invisible and that is why adoption curves only tell half the story: They tell you how many people have adopted a technology but they do not tell you what must happen before everyone else does. The biggest opportunities appear when a technology has already crossed into the next stage but the world still values it as if it has not. Thus, the hardest part is not predicting the future, it is recognizing what stage you are looking at before everyone else does.
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Mahrez
Mahrez@mhrzxa·
most "it's too early" takes aren't wrong. they're just expecting too much from a technology that's still in an earlier stage.
Mahrez tweet media
Keith A. Grossman@KeithGrossman

One of the most useful mental models I have learned came from @chr1sa at the beginning of my career … Most debates about new technologies are not actually about the technology. They are about the stage people believe it is in. Every transformative technology passes through four stages: ➡️ Science: Can it exist? ➡️ Technology: Can it work? ➡️ Business: Can it create value? ➡️ Culture: Can it become normal? But here is the mistake almost everyone makes: Most people judge every technology by the standards of the next stage, expecting revenue from technologies that are still engineering problems; expecting polished products from scientific breakthroughs; and expecting mass adoption from businesses that are still searching for product-market fit. The criticism is not necessarily wrong. It is often just early. This framework does not tell you which technologies will succeed. In fact, most will not. But every technology that changes the world must move through these stages. The Internet spent decades in research before it became commercial. AI spent decades in research before it became a platform. Today, nobody thinks about the technology underpinning sending a message or writing a post on X. Nobody thinks about satellites before opening Google or Apple Maps. The greatest technologies become invisible and that is why adoption curves only tell half the story: They tell you how many people have adopted a technology but they do not tell you what must happen before everyone else does. The biggest opportunities appear when a technology has already crossed into the next stage but the world still values it as if it has not. Thus, the hardest part is not predicting the future, it is recognizing what stage you are looking at before everyone else does.

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