Mr_Abdul _
1.2k පෝස්ටු
Mr_Abdul _
වාර්තා කරන්න
පරිශීලක අවහිර කරන්න
Me Mr Abdul || Crypto trader And analyst || Passionate about market trends Let's navigate the crypto world together! X: mrabdul3111 || T......M: MrAbdulOfficial
අධි-සංඛ්යාත වෙළෙන්දා
{වේලාව} වසර
278 හඹා යමින්
23.5K+ හඹා යන්නන්
6.3K+ කැමති විය
පෝස්ටු
සියල්ල
උපුටා දැක්වීම්
වීඩියෝ
සජීවි
අමුණා ඇත
·
--
සත්යායනය කළ
පරිවර්තනය බලන්න
One thing I keep coming back to while studying $OPG is that most people think about AI privacy the wrong way.
They imagine a company with good intentions reading their data less often. A stricter policy. A better terms of service. That is not privacy. That is a softer version of the same problem.
Real privacy means the architecture itself makes it impossible for anyone to connect who you are with what you asked. Not difficult. Not unlikely. Impossible.
That is what @OpenGradient built with OpenGradient Chat.
Your message is encrypted on your device before it leaves. It routes through a relay that sees your IP but reads only ciphertext. It decrypts inside a secure enclave where even the people running the servers cannot see the content.
Three separate layers. No single point where identity and query can ever meet.
I've started thinking of this as Structural Privacy. Not a promise backed by policy. A guarantee backed by math.
Most AI apps are asking you to trust them more carefully. OpenGradient Chat is asking you to stop trusting anyone at all and start verifying instead.
That is a fundamentally different product.
#opg $OPG
One thing I keep coming back to while studying $OPG is that most people think about AI privacy the wrong way.
They imagine a company with good intentions reading their data less often. A stricter policy. A better terms of service. That is not privacy. That is a softer version of the same problem.
Real privacy means the architecture itself makes it impossible for anyone to connect who you are with what you asked. Not difficult. Not unlikely. Impossible.
That is what @OpenGradient built with OpenGradient Chat.
Your message is encrypted on your device before it leaves. It routes through a relay that sees your IP but reads only ciphertext. It decrypts inside a secure enclave where even the people running the servers cannot see the content.
Three separate layers. No single point where identity and query can ever meet.
I've started thinking of this as Structural Privacy. Not a promise backed by policy. A guarantee backed by math.
Most AI apps are asking you to trust them more carefully. OpenGradient Chat is asking you to stop trusting anyone at all and start verifying instead.
That is a fundamentally different product.
#opg $OPG
They imagine a company with good intentions reading their data less often. A stricter policy. A better terms of service. That is not privacy. That is a softer version of the same problem.
Real privacy means the architecture itself makes it impossible for anyone to connect who you are with what you asked. Not difficult. Not unlikely. Impossible.
That is what @OpenGradient built with OpenGradient Chat.
Your message is encrypted on your device before it leaves. It routes through a relay that sees your IP but reads only ciphertext. It decrypts inside a secure enclave where even the people running the servers cannot see the content.
Three separate layers. No single point where identity and query can ever meet.
I've started thinking of this as Structural Privacy. Not a promise backed by policy. A guarantee backed by math.
Most AI apps are asking you to trust them more carefully. OpenGradient Chat is asking you to stop trusting anyone at all and start verifying instead.
That is a fundamentally different product.
#opg $OPG
42
6
504
·
--
පරිවර්තනය බලන්න
Nice Analysis 👍
Nice Analysis 👍
Mudassar XAU
·
--
The 4-hour chart indicates resistance levels at $4,123 (100-period moving average), $4,133 (20-period moving average), and the strong resistance zone of $4,180–$4,200;
Key support levels to watch include $4,080, $4,050, and the $4,000 mark.
Overall, the recommended trading strategy for Monday is to prioritize selling on rallies while considering buying on dips as a secondary approach. Key zones to monitor are the $4,140–$4,150 resistance range and the $4,070–$4,050 support range. Please stay tuned for further updates.
Key support levels to watch include $4,080, $4,050, and the $4,000 mark.
Overall, the recommended trading strategy for Monday is to prioritize selling on rallies while considering buying on dips as a secondary approach. Key zones to monitor are the $4,140–$4,150 resistance range and the $4,070–$4,050 support range. Please stay tuned for further updates.
82
·
--
ලිපිය
Newton Mainnet Beta က DeFi လုံခြုံရေးကို ပြောင်းလဲပေးနိုင်မလားNewton Mainnet Beta ကို စတင်လွှတ်တင်ခြင်းသည် ဗဟိုချုပ်ကိုင်မှုမရှိသည့် ဘဏ္ဍာရေး (DeFi) ၏ အနာဂတ်အတွက် အရေးကြီးသော မှတ်တိုင်တစ်ခုကို ကိုယ်စားပြုပါသည်။
@NewtonProtocol ကို ထူးခြားစေတာက ကြိုတင်သတ်မှတ်ထားတဲ့ policy တွေမတိုင်မီ ငွေပေးငွေယူတိုင်းကို settlement မလုပ်ခင် စိစစ်အတည်ပြုနိုင်တဲ့ စွမ်းရည်ပဲဖြစ်ပြီး onchain လှုပ်ရှားမှုတွေအတွက် ယုံကြည်မှုနှင့် တာဝန်ခံမှုအဆင့်အသစ်တစ်ခုကို ယူဆောင်လာပေးပါတယ်။
ရန်ပုံငွေများ နေရာရွှေ့ပြီးသွားမှသာ တုံ့ပြန်မည့်အစား Newton က အချိန်နှင့်တစ်ပြေးညီ ခွင့်ပြုချက် (real time authorization) ကို ပံ့ပိုးပေးပြီး လိုက်နာမှု၊ အိုင်ဒင်တီတီ၊ လုံခြုံရေးနှင့် အန္တရာယ်စီမံခန့်ခွဲမှုတို့ကို ဖုံးလွှမ်းပေးပါတယ်။ ဒီချဉ်းကပ်ပုံက DeFi အသုံးပြုသူတွေကို ကာကွယ်ပေးနိုင်သလို ဘဏ္ဍာရေးအဖွဲ့အစည်းတွေက blockchain ဘဏ္ဍာရေးတွင် ပါဝင်ဖို့ ပိုမိုယုံကြည်မှုရစေနိုင်ပါတယ်။
Newton Mainnet Beta က DeFi လုံခြုံရေးကို ပြောင်းလဲပေးနိုင်မလား
Newton Mainnet Beta ကို စတင်လွှတ်တင်ခြင်းသည် ဗဟိုချုပ်ကိုင်မှုမရှိသည့် ဘဏ္ဍာရေး (DeFi) ၏ အနာဂတ်အတွက် အရေးကြီးသော မှတ်တိုင်တစ်ခုကို ကိုယ်စားပြုပါသည်။
@NewtonProtocol ကို ထူးခြားစေတာက ကြိုတင်သတ်မှတ်ထားတဲ့ policy တွေမတိုင်မီ ငွေပေးငွေယူတိုင်းကို settlement မလုပ်ခင် စိစစ်အတည်ပြုနိုင်တဲ့ စွမ်းရည်ပဲဖြစ်ပြီး onchain လှုပ်ရှားမှုတွေအတွက် ယုံကြည်မှုနှင့် တာဝန်ခံမှုအဆင့်အသစ်တစ်ခုကို ယူဆောင်လာပေးပါတယ်။
ရန်ပုံငွေများ နေရာရွှေ့ပြီးသွားမှသာ တုံ့ပြန်မည့်အစား Newton က အချိန်နှင့်တစ်ပြေးညီ ခွင့်ပြုချက် (real time authorization) ကို ပံ့ပိုးပေးပြီး လိုက်နာမှု၊ အိုင်ဒင်တီတီ၊ လုံခြုံရေးနှင့် အန္တရာယ်စီမံခန့်ခွဲမှုတို့ကို ဖုံးလွှမ်းပေးပါတယ်။ ဒီချဉ်းကပ်ပုံက DeFi အသုံးပြုသူတွေကို ကာကွယ်ပေးနိုင်သလို ဘဏ္ဍာရေးအဖွဲ့အစည်းတွေက blockchain ဘဏ္ဍာရေးတွင် ပါဝင်ဖို့ ပိုမိုယုံကြည်မှုရစေနိုင်ပါတယ်။
@NewtonProtocol ကို ထူးခြားစေတာက ကြိုတင်သတ်မှတ်ထားတဲ့ policy တွေမတိုင်မီ ငွေပေးငွေယူတိုင်းကို settlement မလုပ်ခင် စိစစ်အတည်ပြုနိုင်တဲ့ စွမ်းရည်ပဲဖြစ်ပြီး onchain လှုပ်ရှားမှုတွေအတွက် ယုံကြည်မှုနှင့် တာဝန်ခံမှုအဆင့်အသစ်တစ်ခုကို ယူဆောင်လာပေးပါတယ်။
ရန်ပုံငွေများ နေရာရွှေ့ပြီးသွားမှသာ တုံ့ပြန်မည့်အစား Newton က အချိန်နှင့်တစ်ပြေးညီ ခွင့်ပြုချက် (real time authorization) ကို ပံ့ပိုးပေးပြီး လိုက်နာမှု၊ အိုင်ဒင်တီတီ၊ လုံခြုံရေးနှင့် အန္တရာယ်စီမံခန့်ခွဲမှုတို့ကို ဖုံးလွှမ်းပေးပါတယ်။ ဒီချဉ်းကပ်ပုံက DeFi အသုံးပြုသူတွေကို ကာကွယ်ပေးနိုင်သလို ဘဏ္ဍာရေးအဖွဲ့အစည်းတွေက blockchain ဘဏ္ဍာရေးတွင် ပါဝင်ဖို့ ပိုမိုယုံကြည်မှုရစေနိုင်ပါတယ်။
1
1
87
·
--
පරිවර්තනය බලන්න
The launch of the Newton Mainnet Beta marks an important milestone for DeFi infrastructure.
Instead of checking transactions after they happen, @NewtonProtocol introduces an authorization layer that evaluates every transaction against active policies before settlement and records the decision onchain.
This approach can strengthen compliance improve security and help institutional capital interact with DeFi more confidently. As onchain finance continues to evolve infrastructure that enforces rules before assets move could become a key building block for the next generation of decentralized applications.
Looking forward to seeing how the Newton ecosystem expands from vaults to RWAs stablecoins and AI agents.
$NEWT #Newt
The launch of the Newton Mainnet Beta marks an important milestone for DeFi infrastructure.
Instead of checking transactions after they happen, @NewtonProtocol introduces an authorization layer that evaluates every transaction against active policies before settlement and records the decision onchain.
This approach can strengthen compliance improve security and help institutional capital interact with DeFi more confidently. As onchain finance continues to evolve infrastructure that enforces rules before assets move could become a key building block for the next generation of decentralized applications.
Looking forward to seeing how the Newton ecosystem expands from vaults to RWAs stablecoins and AI agents.
$NEWT #Newt
Instead of checking transactions after they happen, @NewtonProtocol introduces an authorization layer that evaluates every transaction against active policies before settlement and records the decision onchain.
This approach can strengthen compliance improve security and help institutional capital interact with DeFi more confidently. As onchain finance continues to evolve infrastructure that enforces rules before assets move could become a key building block for the next generation of decentralized applications.
Looking forward to seeing how the Newton ecosystem expands from vaults to RWAs stablecoins and AI agents.
$NEWT #Newt
11
4
297
·
--
පරිවර්තනය බලන්න
As a result of my work with $OPG one thing keeps coming back to me AI memory is typically pitched as a convenience feature.
The app knows your settings. The app knows the conversation history. It leverages that knowledge for more intelligent response. It does sound convenient, but once memory plays a role in influencing decisions to come, mere convenience ceases to be the sole factor at play.
Look at the data that the AI is remembering. The health background of the user. Their financial situation. Decisions made through weeks long discussions. That data cannot remain passive it will affect the output of the AI and there is no way to know how.
@OpenGradient is working on MemSync, a verifiable memory layer. Rather than remaining a private database which the user must take on faith as correct, the memory becomes verifiable state. Creation, classification, retrieval and use of that memory become auditable.
I find myself viewing this process through the lens of the difference between the black box that remembers and a mechanism which is capable of proving what was remembered and why.
That is easy part the challenge is making the memory auditable while not giving away its
#OPG
As a result of my work with $OPG one thing keeps coming back to me AI memory is typically pitched as a convenience feature.
The app knows your settings. The app knows the conversation history. It leverages that knowledge for more intelligent response. It does sound convenient, but once memory plays a role in influencing decisions to come, mere convenience ceases to be the sole factor at play.
Look at the data that the AI is remembering. The health background of the user. Their financial situation. Decisions made through weeks long discussions. That data cannot remain passive it will affect the output of the AI and there is no way to know how.
@OpenGradient is working on MemSync, a verifiable memory layer. Rather than remaining a private database which the user must take on faith as correct, the memory becomes verifiable state. Creation, classification, retrieval and use of that memory become auditable.
I find myself viewing this process through the lens of the difference between the black box that remembers and a mechanism which is capable of proving what was remembered and why.
That is easy part the challenge is making the memory auditable while not giving away its
#OPG
The app knows your settings. The app knows the conversation history. It leverages that knowledge for more intelligent response. It does sound convenient, but once memory plays a role in influencing decisions to come, mere convenience ceases to be the sole factor at play.
Look at the data that the AI is remembering. The health background of the user. Their financial situation. Decisions made through weeks long discussions. That data cannot remain passive it will affect the output of the AI and there is no way to know how.
@OpenGradient is working on MemSync, a verifiable memory layer. Rather than remaining a private database which the user must take on faith as correct, the memory becomes verifiable state. Creation, classification, retrieval and use of that memory become auditable.
I find myself viewing this process through the lens of the difference between the black box that remembers and a mechanism which is capable of proving what was remembered and why.
That is easy part the challenge is making the memory auditable while not giving away its
#OPG
9
1
182
·
--
පරිවර්තනය බලන්න
Something else I have been pondering in relation to $OPG is the fact that the majority of people are asking the wrong question regarding AI on chain technology.
The question that everyone is asking is whether or not AI outputs can be verified. This is important. However, there is another question which is being overlooked and nobody is talking about it.
Whenever the output from an AI model is required by a smart contract, there always has to be some kind of delay. It has to run off-chain. Then, once it is ready, it arrives as a result. Once it reaches its destination, it has already become outdated. This is the moment where trust is lost.
This problem is solved by @OpenGradient through something they refer to as PIPE. Instead of receiving a delayed output that works as an oracle, users receive it as a pre executed input which can then be used inside of one single transaction.
From now on, I will think of it as Atomic AI Execution. No delays, no timing gap, no way for stale data or manipulation to occur.
The point is important enough to be noticed. Delay makes all the difference because an AI result timing.
#OPG
Something else I have been pondering in relation to $OPG is the fact that the majority of people are asking the wrong question regarding AI on chain technology.
The question that everyone is asking is whether or not AI outputs can be verified. This is important. However, there is another question which is being overlooked and nobody is talking about it.
Whenever the output from an AI model is required by a smart contract, there always has to be some kind of delay. It has to run off-chain. Then, once it is ready, it arrives as a result. Once it reaches its destination, it has already become outdated. This is the moment where trust is lost.
This problem is solved by @OpenGradient through something they refer to as PIPE. Instead of receiving a delayed output that works as an oracle, users receive it as a pre executed input which can then be used inside of one single transaction.
From now on, I will think of it as Atomic AI Execution. No delays, no timing gap, no way for stale data or manipulation to occur.
The point is important enough to be noticed. Delay makes all the difference because an AI result timing.
#OPG
The question that everyone is asking is whether or not AI outputs can be verified. This is important. However, there is another question which is being overlooked and nobody is talking about it.
Whenever the output from an AI model is required by a smart contract, there always has to be some kind of delay. It has to run off-chain. Then, once it is ready, it arrives as a result. Once it reaches its destination, it has already become outdated. This is the moment where trust is lost.
This problem is solved by @OpenGradient through something they refer to as PIPE. Instead of receiving a delayed output that works as an oracle, users receive it as a pre executed input which can then be used inside of one single transaction.
From now on, I will think of it as Atomic AI Execution. No delays, no timing gap, no way for stale data or manipulation to occur.
The point is important enough to be noticed. Delay makes all the difference because an AI result timing.
#OPG
23
4
309
·
--
පරිවර්තනය බලන්න
BILLIONAIRE GRANT CARDONE SAYS HE BOUGHT 2,000 BITCOIN AT $92,000 AND REFUSES TO SELL
"I'M UNDERWATER, AND IT DOESN'T BOTHER ME AT ALL"
"IT'S TIED TO A LONG-TERM ASSET"
"IF I BELIEVED IT WAS GOING TO ZERO, I WOULDN'T HAVE DONE THIS"
LEGEND
BILLIONAIRE GRANT CARDONE SAYS HE BOUGHT 2,000 BITCOIN AT $92,000 AND REFUSES TO SELL
"I'M UNDERWATER, AND IT DOESN'T BOTHER ME AT ALL"
"IT'S TIED TO A LONG-TERM ASSET"
"IF I BELIEVED IT WAS GOING TO ZERO, I WOULDN'T HAVE DONE THIS"
LEGEND
"I'M UNDERWATER, AND IT DOESN'T BOTHER ME AT ALL"
"IT'S TIED TO A LONG-TERM ASSET"
"IF I BELIEVED IT WAS GOING TO ZERO, I WOULDN'T HAVE DONE THIS"
LEGEND
457
·
--
සංකේතනයක් (blockchain) ආපදා සිදුවන විට සැබෑ ලෝකයට බලපෑමක් ලබාදිය හැකිය.
වෙනිසුලාවේ විනාශකාරී භූමිකම්පා වලින් පසුව, Binance Charity විසින් බලපෑමට ලක් වූ පරිශීලකයන්ට සහාය වීමට ඩොලර් මිලියන 3 ක සහන වැඩසටහනක් ප්රකාශ කර ඇත. වඩාත්ම හානි සිදු වූ ප්රදේශවල සිටින සුදුසුකම් ලබන පරිශීලකයන්ට 20 USDT වවුචර් ලැබෙන අතර, ප්රකෘතිමත් වීමේ කාලය තුළ මූල්ය ප්රවේශය පහසු කිරීමට Binance විසින් වෙනිසුලාවේ P2P වෙළඳ ගාස්තු සහ Binance Pay වෙළෙන්ද ගාස්තු දින හතක් සඳහා අත්හිටුවමින්ද තිබේ. මේගෙන් පෙනෙන්නේ ක්රිප්ටෝ ගනුදෙනු කිරීමට පමණක් සීමා නොවී, වඩාත්ම අවශ්ය මොහොතේදී ප්රායෝගික මානුෂීය සහාය ලබාදෙන අයුරුය. මේ වැනි මුලපිරීම් ද, අවශ්යතාවෙන් පෙළෙන ප්රජාවන්ට ඉක්මන්, විනිවිද පෙනෙන සහ දේශසීමා නැති ආධාර සැපයීමේ දී blockchain තාක්ෂණයේ වැඩෙන භූමිකාව පෙන්වයි. 💛
ආපදා සහන හා මානුෂීය සහාය සඳහා ක්රිප්ටෝ භාවිතා කිරීම ගැන ඔබට කෙසේද සිතෙන්නේ?
{future}(BNBUSDT)
$BNB #Binance
සංකේතනයක් (blockchain) ආපදා සිදුවන විට සැබෑ ලෝකයට බලපෑමක් ලබාදිය හැකිය.
වෙනිසුලාවේ විනාශකාරී භූමිකම්පා වලින් පසුව, Binance Charity විසින් බලපෑමට ලක් වූ පරිශීලකයන්ට සහාය වීමට ඩොලර් මිලියන 3 ක සහන වැඩසටහනක් ප්රකාශ කර ඇත. වඩාත්ම හානි සිදු වූ ප්රදේශවල සිටින සුදුසුකම් ලබන පරිශීලකයන්ට 20 USDT වවුචර් ලැබෙන අතර, ප්රකෘතිමත් වීමේ කාලය තුළ මූල්ය ප්රවේශය පහසු කිරීමට Binance විසින් වෙනිසුලාවේ P2P වෙළඳ ගාස්තු සහ Binance Pay වෙළෙන්ද ගාස්තු දින හතක් සඳහා අත්හිටුවමින්ද තිබේ. මේගෙන් පෙනෙන්නේ ක්රිප්ටෝ ගනුදෙනු කිරීමට පමණක් සීමා නොවී, වඩාත්ම අවශ්ය මොහොතේදී ප්රායෝගික මානුෂීය සහාය ලබාදෙන අයුරුය. මේ වැනි මුලපිරීම් ද, අවශ්යතාවෙන් පෙළෙන ප්රජාවන්ට ඉක්මන්, විනිවිද පෙනෙන සහ දේශසීමා නැති ආධාර සැපයීමේ දී blockchain තාක්ෂණයේ වැඩෙන භූමිකාව පෙන්වයි. 💛
ආපදා සහන හා මානුෂීය සහාය සඳහා ක්රිප්ටෝ භාවිතා කිරීම ගැන ඔබට කෙසේද සිතෙන්නේ?
$BNB #Binance
වෙනිසුලාවේ විනාශකාරී භූමිකම්පා වලින් පසුව, Binance Charity විසින් බලපෑමට ලක් වූ පරිශීලකයන්ට සහාය වීමට ඩොලර් මිලියන 3 ක සහන වැඩසටහනක් ප්රකාශ කර ඇත. වඩාත්ම හානි සිදු වූ ප්රදේශවල සිටින සුදුසුකම් ලබන පරිශීලකයන්ට 20 USDT වවුචර් ලැබෙන අතර, ප්රකෘතිමත් වීමේ කාලය තුළ මූල්ය ප්රවේශය පහසු කිරීමට Binance විසින් වෙනිසුලාවේ P2P වෙළඳ ගාස්තු සහ Binance Pay වෙළෙන්ද ගාස්තු දින හතක් සඳහා අත්හිටුවමින්ද තිබේ. මේගෙන් පෙනෙන්නේ ක්රිප්ටෝ ගනුදෙනු කිරීමට පමණක් සීමා නොවී, වඩාත්ම අවශ්ය මොහොතේදී ප්රායෝගික මානුෂීය සහාය ලබාදෙන අයුරුය. මේ වැනි මුලපිරීම් ද, අවශ්යතාවෙන් පෙළෙන ප්රජාවන්ට ඉක්මන්, විනිවිද පෙනෙන සහ දේශසීමා නැති ආධාර සැපයීමේ දී blockchain තාක්ෂණයේ වැඩෙන භූමිකාව පෙන්වයි. 💛
ආපදා සහන හා මානුෂීය සහාය සඳහා ක්රිප්ටෝ භාවිතා කිරීම ගැන ඔබට කෙසේද සිතෙන්නේ?
$BNB #Binance
177
·
--
පරිවර්තනය බලන්න
What excites you the most about @OpenGradient ?
What excites you the most about @OpenGradient ?
Verifiable AI Responses
0%
PrivacyFirst OpenGradient Chat
50%
Decentralize AI Infrastructure
50%
2 ඡන්ද • ඡන්දය අවසන්
146
·
--
පරිවර්තනය බලන්න
🚀 INSANE REVERSAL.
$700,000,000,000 has been added to the US stock market in the last 60 minutes.
🚀 INSANE REVERSAL.
$700,000,000,000 has been added to the US stock market in the last 60 minutes.
$700,000,000,000 has been added to the US stock market in the last 60 minutes.
1
150
·
--
පරිවර්තනය බලන්න
BlackRock sold $859M worth of Bitcoin this week.
Damn... 🩸
{spot}(BTCUSDT)
$BTC
BlackRock sold $859M worth of Bitcoin this week.
Damn... 🩸
$BTC
Damn... 🩸
$BTC
1
141
·
--
සත්යායනය කළ
පරිවර්තනය බලන්න
One thing I keep thinking about while researching $OPG is that we are approaching an inflection point nobody is naming clearly.
AI is no longer just answering questions. It is signing transactions. Managing portfolios. Executing trades. Making governance decisions on chain.
And yet the infrastructure underneath all of that still runs on the same assumption it always did. That you trust the provider.
That assumption made sense when AI was writing emails. It does not make sense when AI is moving real money.
Open gradient is the only project I have come across that is directly solving this. They call it verifiable inference. Every prompt, every model, every output gets a cryptographic proof attached before anything touches the chain. Not logged. Not summarized. Proven.
I've started thinking of this as the Trust Threshold problem. Below a certain stakes level, trust is fine. Above it, you need proof. And AI crossed that threshold the moment it started touching on chain assets.
The interesting thing is that most of the space is still building for below the threshold. @OpenGradient is building for what comes after.
That gap does not stay open forever.
#OPG
{future}(OPGUSDT)
One thing I keep thinking about while researching $OPG is that we are approaching an inflection point nobody is naming clearly.
AI is no longer just answering questions. It is signing transactions. Managing portfolios. Executing trades. Making governance decisions on chain.
And yet the infrastructure underneath all of that still runs on the same assumption it always did. That you trust the provider.
That assumption made sense when AI was writing emails. It does not make sense when AI is moving real money.
Open gradient is the only project I have come across that is directly solving this. They call it verifiable inference. Every prompt, every model, every output gets a cryptographic proof attached before anything touches the chain. Not logged. Not summarized. Proven.
I've started thinking of this as the Trust Threshold problem. Below a certain stakes level, trust is fine. Above it, you need proof. And AI crossed that threshold the moment it started touching on chain assets.
The interesting thing is that most of the space is still building for below the threshold. @OpenGradient is building for what comes after.
That gap does not stay open forever.
#OPG
AI is no longer just answering questions. It is signing transactions. Managing portfolios. Executing trades. Making governance decisions on chain.
And yet the infrastructure underneath all of that still runs on the same assumption it always did. That you trust the provider.
That assumption made sense when AI was writing emails. It does not make sense when AI is moving real money.
Open gradient is the only project I have come across that is directly solving this. They call it verifiable inference. Every prompt, every model, every output gets a cryptographic proof attached before anything touches the chain. Not logged. Not summarized. Proven.
I've started thinking of this as the Trust Threshold problem. Below a certain stakes level, trust is fine. Above it, you need proof. And AI crossed that threshold the moment it started touching on chain assets.
The interesting thing is that most of the space is still building for below the threshold. @OpenGradient is building for what comes after.
That gap does not stay open forever.
#OPG
19
5
311
තවත් අන්තර්ගතයන් ගවේෂණය කිරීමට ඇතුල් වන්න
Binance චතුරශ්රය හි ගෝලීය ක්රිප්ටෝ පරිශීලකයින් හා එක්වන්න
⚡️ ක්රිප්ටෝ පිළිබඳ නවතම සහ ප්රයෝජනවත් තොරතුරු ලබා ගන්න.
💬 ලොව විශාලතම ක්රිප්ටෝ හුවමාරුව මගින් විශ්වාස කෙරේ.
👍 සත්යායනය කරන ලද නිර්මාණකරුවන්ගෙන් සැබෑ විදසුන් සොයා ගන්න.
විද්යුත් තැපෑල / දුරකථන අංකය
නැගී එන මාතෘකා
AIStocksWhatNext
690,498 views
5,134 සාකච්ඡා කරමින්
අපගේ ඉතාමත් ජනප්රිය හැෂ්ටැග් ව්යාපාරයේදී “Share & Win” මඟින් ගමනාගමන ත්යාග ලබා ගන්න
✨මාතෘකාව: AI කොටස් ඉහළ යමින් පවතිද්දී තවත් ආයෝජන අවස්ථා මොනවාද?
👉සම්බන්ධ වන්නේ කෙසේද:
හැෂ්ටැග් #AIStocksWhatNext සමඟ කෙටි පෝස්ට් එකක් හෝ ලිපියක් පළ කරන්න
ඔබ බුලිෂ් ද බෙයරිෂ් ද යන්න සඳහන් කර ඔබේ AI කොටස් හෝ වෙළඳාම පළ කරන්න — වෙළඳ විජට් එක භාවිතා කිරීම ඔබේ සුදුසුකම වැඩි කළ හැක.
දත්ත හෝ චාර්ට් බෙදාගනිමින් සහ AI මඟින් ජනනය කළ රූප මඟහරිමින් ඔබගේ පෝස්ට් එක තවදුරටත් ශක්තිමත් කළ හැක.
✍️පහත කෝණ අනුව අන්තර්ගතය සාදන්න:
- Nvidia පවසන්නේ ලබන වසරේ චිප් විකුණුම් දෙගුණ වන බවත්, ඉහළ AI සමාගම් දිගටම වාර්තාගත ආදායම් ලබා ගැනීමත් සිදුවන බවත් ය. ඒ සඳහා ඇති compute වියදමද අතිවිශාලය. ඇත්තටම AI ඉල්ලුම ඉහළ යනවාද? තව කොතරම් කාලයක් මෙය පවතින්න පුළුවන්ද? AI කොටස් මුළුම තැනම ඉහළ ගොස් ඇත. මෙය සැබෑ breakout එකක්ද, නැත්තම් කෙටි කාලීන bounce එකක්ද?
- කර්මාන්තයේ නායකයෝ AI සංවර්ධනය මන්දගාමී කිරීමට කියා සිටින අතර, Trump “AI Force” එකක් ගොඩනඟීමට සැලසුම් කරමින්, අනාගතයේ AI එක්සත් ජනපදයේ GDP වලින් 25%ක් දක්වා ගත හැකි බව පවසයි. ඔබ කාගේ පැත්තේද? AI කොටස් සඳහා ප්රාන්ත මට්ටමේ සහාය දිගුකාලීන ජයග්රහණයක් වේද?
- ඔබ AI කොටස් මිලදී ගන්නවාද? අපගේ වෙළඳ බෙදාගැනීමේ විජට් එක හරහා ඔබේ AI-අදාළ වෙළඳාම/පැවැත්වීම් බෙදාගන්න.
⏰ව්යාපාර කාලය:
- 2026-09-22 7:00 - 2026-09-24 4:00 UTC
🎁ත්යාගය:
- ඉහත මාර්ගෝපදේශවලට අනුකූල වන අතර වචන 100කට වඩා අඩංගු සුදුසුකම් ලත් පෝස්ට් පරීක්ෂා කරනු ලබන අතර, 500 සිට 3,000 දක්වා වූ අහඹු ගමනාගමන වැඩිවීමක් ලැබීමටද ඉඩ ඇත. ඔබේ පෝස්ට් එක තෝරාගනු ලැබුවහොත් ඔබට ඔබේ feed secretary වෙතින් දැනුම්දීමක් ලැබෙනු ඇත.
- ඔබගේ ලිපිය Binance Square Official හි පළ කිරීමට අවස්ථාවක් ලබා ගන්න
ඔබේ පෝස්ට් එකට අදහස් අවශ්යද? මාතෘකා පිටුවට පිවිසෙන්න #AIStocksWhatNext හෝ Square Guide on How to Post for Better Reach.
Binance Square Official
·504 කැමත්ත දැක්වීම්
·1.4M views
21SharesLaunchesEuropesFirstZcashETP
16,856 views
576 සාකච්ඡා කරමින්
CardanoJoinsX402PaymentStandard
12,322 views
435 සාකච්ඡා කරමින්