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JUST IN: Charles Hoskinson on the Confidential Computing Consortium, says "you can see AMD, Google, Huawei, Intel, Meta, Microsoft, Nvidia, and Shielded—that's my development company building Midnight. We need to have standards for how hardware will work to store valuable data."

Angry Crypto Show

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If Apple is using Intel to make its own chips, "I'm thrilled," former Intel CEO Pat Gelsinger says, adding: "Whether that's Apple, Nvidia, Qualcomm, AMD — all of them need to be building at Intel factories for the future. They need to be building more in the US."

If Apple is using Intel to make its own chips, "I'm thrilled," former Intel CEO Pat Gelsinger says, adding: "Whether that's Apple, Nvidia, Qualcomm, AMD — all of them need to be building at Intel factories for the future. They need to be building more in the US."

Yahoo Finance

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BREAKING NEWS: AMAZON, APPLE, GOOGLE, MICROSOFT, META, NVIDIA, AND TESLA ARE EYEING CRYPTO HARD🤯🤯🤯 Charles Hoskinson says the temptation for tech giants like Amazon, Apple, and Microsoft to enter crypto is extremely strong and once they do, it’ll feel to users like using a better PayPal or a smarter bank. Would you trust a crypto wallet from Apple or Meta?

BREAKING NEWS: AMAZON, APPLE, GOOGLE, MICROSOFT, META, NVIDIA, AND TESLA ARE EYEING CRYPTO HARD🤯🤯🤯 Charles Hoskinson says the temptation for tech giants like Amazon, Apple, and Microsoft to enter crypto is extremely strong and once they do, it’ll feel to users like using a better PayPal or a smarter bank. Would you trust a crypto wallet from Apple or Meta?

Mintern

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For over a decade, Intel and Microsoft Azure have partnered to build trust in the cloud. At Microsoft Build 2026, we spoke with Azure CTO Mark Russinovich on how Azure and Intel TDX work together to support confidential cloud workloads at scale with near-zero performance overhead and minimal effort. Watch the full interview:

For over a decade, Intel and Microsoft Azure have partnered to build trust in the cloud. At Microsoft Build 2026, we spoke with Azure CTO Mark Russinovich on how Azure and Intel TDX work together to support confidential cloud workloads at scale with near-zero performance overhead and minimal effort. Watch the full interview:

Intel Business

19,756 görüntüleme • 1 ay önce

JUST IN: Charles Hoskinson says "Midnight is focused on the big 7: $BTC, $ETH, $ADA, $AVAX, $SOL, $BNB, $XRP. If you are from that ecosystem, you are welcome in Midnight—more to come beyond that. We want all their stuff to work and be tradeable—the advantage is you get privacy."

JUST IN: Charles Hoskinson says "Midnight is focused on the big 7: $BTC, $ETH, $ADA, $AVAX, $SOL, $BNB, $XRP. If you are from that ecosystem, you are welcome in Midnight—more to come beyond that. We want all their stuff to work and be tradeable—the advantage is you get privacy."

Angry Crypto Show

17,048 görüntüleme • 1 ay önce

JUST IN: #Cardano $ADA Founder Charles Hoskinson says "confidential compute by 2029 will be a $50B a year industry, and 75% of all AI workloads will run on confidential compute clusters. How do those servers talk and share workloads? We do the coordination between them." $NIGHT

JUST IN: #Cardano $ADA Founder Charles Hoskinson says "confidential compute by 2029 will be a $50B a year industry, and 75% of all AI workloads will run on confidential compute clusters. How do those servers talk and share workloads? We do the coordination between them." $NIGHT

Angry Crypto Show

14,142 görüntüleme • 6 ay önce

UPDATE: Charles Hoskinson says "I have a massive announcement that's outside of crypto that we're working on for this year—super big. It's one of my other companies in silent mode. That particular company is adjacent to a ton of extremely valuable IP that has mass distribution."

UPDATE: Charles Hoskinson says "I have a massive announcement that's outside of crypto that we're working on for this year—super big. It's one of my other companies in silent mode. That particular company is adjacent to a ton of extremely valuable IP that has mass distribution."

Angry Crypto Show

14,626 görüntüleme • 1 ay önce

BREAKING NEWS: CHARLES HOSKINSON HAS BUILT ON CARDANO UNCOMPENSATED FOR YEARS 😱😱😱 Charles Hoskinson reveals that he and his team have been building on Cardano for years without compensation. He says, "I'm not asking for 5% or 10% of the $ADA supply. I'm simply asking to cover the expenses of my engineers and leave a little profit for us to keep building." What impact will this have on the future of the ecosystem?

BREAKING NEWS: CHARLES HOSKINSON HAS BUILT ON CARDANO UNCOMPENSATED FOR YEARS 😱😱😱 Charles Hoskinson reveals that he and his team have been building on Cardano for years without compensation. He says, "I'm not asking for 5% or 10% of the $ADA supply. I'm simply asking to cover the expenses of my engineers and leave a little profit for us to keep building." What impact will this have on the future of the ecosystem?

Mintern

80,423 görüntüleme • 1 yıl önce

Google just launched a direct attack on Nvidia's most valuable asset. Not their chips. Their SOFTWARE. And if this works, Nvidia's $4 trillion empire collapses. Here's what just leaked: Google is building "TorchTPU" - a secret project that makes PyTorch seamlessly run on Google's TPU chips instead of Nvidia GPUs. Why does this matter? PyTorch is the MOST USED AI framework on Earth. Every AI developer uses it. And PyTorch was built around Nvidia's CUDA software. Wall Street analysts call CUDA "Nvidia's strongest defensive wall." It's the reason companies can't easily switch away from Nvidia even when alternatives exist. You don't just buy Nvidia chips. You buy into their entire ecosystem. Switching costs MILLIONS in engineering work. Months of rewrites. Performance drops. So companies stay locked in. Even when Nvidia raises prices. Even when supply runs short. That's not a hardware moat. That's a SOFTWARE prison. And Google just found the escape route. Here's the problem Nvidia created for itself: Google's TPU chips are actually GOOD. Competitive performance. Better availability. Lower cost. But developers won't use them because Google's chips run JAX (Google's internal framework), not PyTorch. That means if you want to use Google TPUs, you have to rewrite your entire codebase. Nobody wants to do that. So Google TPUs sit unused while developers fight over Nvidia chips. Until now. TorchTPU makes PyTorch run natively on Google hardware. No rewrites. No performance loss. No months of engineering. You just... switch. And Google is partnering with META (who built PyTorch) to make it happen. They're even considering OPEN-SOURCING parts of it to speed adoption. Translation: Google is willing to give this away for free just to break Nvidia's lock. The implications are insane: Every company currently paying Nvidia's premium prices suddenly has a way out. Oracle, Microsoft, OpenAI - all locked into Nvidia's ecosystem - can switch to Google. Nvidia's pricing power evaporates overnight. And the timing is perfect: Nvidia is already facing heat. Semiconductor index dropped 3% today. Oracle just lost their biggest investor over AI spending concerns. Companies are realizing AI infrastructure costs are unsustainable. Now Google hands them an alternative. Same performance. Lower cost. Better availability. Jensen Huang knows exactly what this means. CUDA has been Nvidia's untouchable advantage for YEARS. It's why Nvidia trades at 50x earnings while AMD trades at 25x. The software moat justified the premium. But if Google removes that switching cost? Nvidia becomes just another chip company. And chip companies compete on price, not ecosystem lock-in. Here's what happens next: Google needs 12-18 months to make TorchTPU production-ready. If it works, cloud providers will adopt it instantly. They WANT an alternative to Nvidia's monopoly pricing. Amazon already building their own Trainium chips. Microsoft making Maia. They're all trying to escape Nvidia. Google just gave them the software bridge. Nvidia's response options are limited: They can't buy Google. Can't kill PyTorch (Meta owns it). Can't stop open source. Their only play is to keep improving CUDA faster than Google can catch up. But that's a race, not a moat. The market isn't pricing this in yet. Nvidia down 2% today. Google down 2%. Investors think this is just "another competitor." They don't understand this is an attack on the FOUNDATION of Nvidia's valuation. Hardware is replaceable. Software lock-in is what made Nvidia worth $4 trillion. Google is attacking the lock-in. Watch what happens in 2026 when TorchTPU goes live and companies realize they can actually leave Nvidia. The "Nvidia is unstoppable" narrative dies. And a $4 trillion valuation built on software moats gets repriced.

Google just launched a direct attack on Nvidia's most valuable asset. Not their chips. Their SOFTWARE. And if this works, Nvidia's $4 trillion empire collapses. Here's what just leaked: Google is building "TorchTPU" - a secret project that makes PyTorch seamlessly run on Google's TPU chips instead of Nvidia GPUs. Why does this matter? PyTorch is the MOST USED AI framework on Earth. Every AI developer uses it. And PyTorch was built around Nvidia's CUDA software. Wall Street analysts call CUDA "Nvidia's strongest defensive wall." It's the reason companies can't easily switch away from Nvidia even when alternatives exist. You don't just buy Nvidia chips. You buy into their entire ecosystem. Switching costs MILLIONS in engineering work. Months of rewrites. Performance drops. So companies stay locked in. Even when Nvidia raises prices. Even when supply runs short. That's not a hardware moat. That's a SOFTWARE prison. And Google just found the escape route. Here's the problem Nvidia created for itself: Google's TPU chips are actually GOOD. Competitive performance. Better availability. Lower cost. But developers won't use them because Google's chips run JAX (Google's internal framework), not PyTorch. That means if you want to use Google TPUs, you have to rewrite your entire codebase. Nobody wants to do that. So Google TPUs sit unused while developers fight over Nvidia chips. Until now. TorchTPU makes PyTorch run natively on Google hardware. No rewrites. No performance loss. No months of engineering. You just... switch. And Google is partnering with META (who built PyTorch) to make it happen. They're even considering OPEN-SOURCING parts of it to speed adoption. Translation: Google is willing to give this away for free just to break Nvidia's lock. The implications are insane: Every company currently paying Nvidia's premium prices suddenly has a way out. Oracle, Microsoft, OpenAI - all locked into Nvidia's ecosystem - can switch to Google. Nvidia's pricing power evaporates overnight. And the timing is perfect: Nvidia is already facing heat. Semiconductor index dropped 3% today. Oracle just lost their biggest investor over AI spending concerns. Companies are realizing AI infrastructure costs are unsustainable. Now Google hands them an alternative. Same performance. Lower cost. Better availability. Jensen Huang knows exactly what this means. CUDA has been Nvidia's untouchable advantage for YEARS. It's why Nvidia trades at 50x earnings while AMD trades at 25x. The software moat justified the premium. But if Google removes that switching cost? Nvidia becomes just another chip company. And chip companies compete on price, not ecosystem lock-in. Here's what happens next: Google needs 12-18 months to make TorchTPU production-ready. If it works, cloud providers will adopt it instantly. They WANT an alternative to Nvidia's monopoly pricing. Amazon already building their own Trainium chips. Microsoft making Maia. They're all trying to escape Nvidia. Google just gave them the software bridge. Nvidia's response options are limited: They can't buy Google. Can't kill PyTorch (Meta owns it). Can't stop open source. Their only play is to keep improving CUDA faster than Google can catch up. But that's a race, not a moat. The market isn't pricing this in yet. Nvidia down 2% today. Google down 2%. Investors think this is just "another competitor." They don't understand this is an attack on the FOUNDATION of Nvidia's valuation. Hardware is replaceable. Software lock-in is what made Nvidia worth $4 trillion. Google is attacking the lock-in. Watch what happens in 2026 when TorchTPU goes live and companies realize they can actually leave Nvidia. The "Nvidia is unstoppable" narrative dies. And a $4 trillion valuation built on software moats gets repriced.

Ricardo

1,616,942 görüntüleme • 8 ay önce

"It's not a swap. The way it works is more like ETH and wrapped ETH, you deposit USDC into the confidential USDC contract ... the contract mints the same amount you deposited as confidential USDC" Rand, founder of Zama, breaks down how confidential assets actually work without bridging "Sure, people can see how much you deposited, because by definition that's public, but from that point every transfer you make, every token you receive is shielded" "People don't know how much you're moving around, how much your balance ends up being, whether you're swapping or depositing into the Steakhouse Morpho vault confidentially. Nobody has any idea how much money you have. And the beautiful thing is you're on Ethereum, we're not asking you to use a new L1. It's Ethereum with encryption" "If you swap shielded USDC into some new altcoin, that's not shielded, and that's the reason we're adding more and more assets to the protocol, so you never have to. You can go from shielded asset to shielded asset. There's no reason to ever unshield if every wallet, every exchange, every swap, every lending protocol supports shielded assets, and that's the goal"

"It's not a swap. The way it works is more like ETH and wrapped ETH, you deposit USDC into the confidential USDC contract ... the contract mints the same amount you deposited as confidential USDC" Rand, founder of Zama, breaks down how confidential assets actually work without bridging "Sure, people can see how much you deposited, because by definition that's public, but from that point every transfer you make, every token you receive is shielded" "People don't know how much you're moving around, how much your balance ends up being, whether you're swapping or depositing into the Steakhouse Morpho vault confidentially. Nobody has any idea how much money you have. And the beautiful thing is you're on Ethereum, we're not asking you to use a new L1. It's Ethereum with encryption" "If you swap shielded USDC into some new altcoin, that's not shielded, and that's the reason we're adding more and more assets to the protocol, so you never have to. You can go from shielded asset to shielded asset. There's no reason to ever unshield if every wallet, every exchange, every swap, every lending protocol supports shielded assets, and that's the goal"

The Wolf Of All Streets

37,427 görüntüleme • 1 ay önce

UPDATE: Charles Hoskinson says "I can already see the future. With Midnight, we got lattice-based crypto, and (Ethereum's) doing hash-based crypto. They'll discover 3 years from now, "we need to move to lattices." They'll use our ideas, libraries, but say nothing about Cardano."

UPDATE: Charles Hoskinson says "I can already see the future. With Midnight, we got lattice-based crypto, and (Ethereum's) doing hash-based crypto. They'll discover 3 years from now, "we need to move to lattices." They'll use our ideas, libraries, but say nothing about Cardano."

Angry Crypto Show

17,888 görüntüleme • 1 ay önce

JUST IN: #Cardano $ADA Founder Charles Hoskinson says "I know how to get hundreds of millions if not billions of dollars of TVL on Cardano—Midnight and the upcoming RealFi project alone should probably do that. The price for Cardano's integrations will probably be around $100M."

JUST IN: #Cardano $ADA Founder Charles Hoskinson says "I know how to get hundreds of millions if not billions of dollars of TVL on Cardano—Midnight and the upcoming RealFi project alone should probably do that. The price for Cardano's integrations will probably be around $100M."

Angry Crypto Show

116,892 görüntüleme • 9 ay önce

$AMD will be a multi-trillion $ company. The AI accelerator TAM will exceed $1T by 2030, and the market will only keep growing. As Lisa Su says: “We’re in a market where you can think of computing as equating to intelligence. If you can get more intelligence, why wouldn’t you want more computing?” While big tech like $GOOGL with TPUs and $AMZN with Trainium are building their own ASICs, GPUs—especially $NVDA and $AMD —are expected to dominate, representing 70–75% of the AI accelerator market by the end of 2030.

$AMD will be a multi-trillion $ company. The AI accelerator TAM will exceed $1T by 2030, and the market will only keep growing. As Lisa Su says: “We’re in a market where you can think of computing as equating to intelligence. If you can get more intelligence, why wouldn’t you want more computing?” While big tech like $GOOGL with TPUs and $AMZN with Trainium are building their own ASICs, GPUs—especially $NVDA and $AMD —are expected to dominate, representing 70–75% of the AI accelerator market by the end of 2030.

Daniel

45,866 görüntüleme • 8 ay önce

JUST IN: Charles Hoskinson on $ADA's executive function, says "I'm asking for your support. I promise you if you give it to me, and if I have enough of it, I will end this cynicism, and we'll speak with one voice. We can get good marketing, good adoption, and get back on track."

JUST IN: Charles Hoskinson on $ADA's executive function, says "I'm asking for your support. I promise you if you give it to me, and if I have enough of it, I will end this cynicism, and we'll speak with one voice. We can get good marketing, good adoption, and get back on track."

Angry Crypto Show

36,836 görüntüleme • 24 gün önce

Some time ago, I had the idea to port NVIDIA Physical AI stack to AMD. The motivation was to improve hardware diversity and enable world models and VLAs to run beyond a single ecosystem. We started with NVIDIA Cosmos Predict 2.5-2B. Porting wasn’t trivial: these models are deeply optimized for NVIDIA’s stack. We used this as an opportunity to apply our ROCm kernels. The results were surprising: Both encode and diffusion run faster on AMD Instinct MI300X vs. NVIDIA H200 (FA3) and we still saw significant headroom for further optimization. Quality is unchanged across modalities (validated with WorldJen) To be clear, this is no luck. We have deep experience with diffusion models and AMD GPUs. But this just gives us a good opportunity to get closer to a true hardware-to-hardware comparison, as we work with less software abstractions than usual. Just to give an example, on AMD, memory instructions are async with a hardware queue of ordered pending instructions, enabling concurrent load/store with compute without warp specialization. Bottom line: there are real architectural advantages on AMD, if you take the time to work with the hardware. Note, we did tradeoff ~20% higher memory usage, That being said, AMD has more to give to begin with :) in the coming weeks: AMD versions of Cosmos Transfer and GR00T, an even faster version of Cosmos Predict, and open-sourcing an attention kernel faster than AITER v3 (which is closed-source for some reason? cc: Anush Elangovan )

Some time ago, I had the idea to port NVIDIA Physical AI stack to AMD. The motivation was to improve hardware diversity and enable world models and VLAs to run beyond a single ecosystem. We started with NVIDIA Cosmos Predict 2.5-2B. Porting wasn’t trivial: these models are deeply optimized for NVIDIA’s stack. We used this as an opportunity to apply our ROCm kernels. The results were surprising: Both encode and diffusion run faster on AMD Instinct MI300X vs. NVIDIA H200 (FA3) and we still saw significant headroom for further optimization. Quality is unchanged across modalities (validated with WorldJen) To be clear, this is no luck. We have deep experience with diffusion models and AMD GPUs. But this just gives us a good opportunity to get closer to a true hardware-to-hardware comparison, as we work with less software abstractions than usual. Just to give an example, on AMD, memory instructions are async with a hardware queue of ordered pending instructions, enabling concurrent load/store with compute without warp specialization. Bottom line: there are real architectural advantages on AMD, if you take the time to work with the hardware. Note, we did tradeoff ~20% higher memory usage, That being said, AMD has more to give to begin with :) in the coming weeks: AMD versions of Cosmos Transfer and GR00T, an even faster version of Cosmos Predict, and open-sourcing an attention kernel faster than AITER v3 (which is closed-source for some reason? cc: Anush Elangovan )

Omer Shlomovits

36,648 görüntüleme • 4 ay önce

DATA CENTRES Let me share some uncomfortable information The data Centres they are seeking to build will be the surveillance centres. They will act like the prison warden, monitoring and allocating punishments and giving scores. For those data Centres to work, they will need FRESH WATER to cool the hardware. They will need to divert water from entire dams towards the data centre. For example all the water feeding the Nairobi population will need to be diverted to the data centres for cooling the systems. See the number of legal cases in the USA against the data Centres. We have not talked about radiation that they will produce and affect the populations living in the environs

DATA CENTRES Let me share some uncomfortable information The data Centres they are seeking to build will be the surveillance centres. They will act like the prison warden, monitoring and allocating punishments and giving scores. For those data Centres to work, they will need FRESH WATER to cool the hardware. They will need to divert water from entire dams towards the data centre. For example all the water feeding the Nairobi population will need to be diverted to the data centres for cooling the systems. See the number of legal cases in the USA against the data Centres. We have not talked about radiation that they will produce and affect the populations living in the environs

Mary Kathomi

13,499 görüntüleme • 2 ay önce