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Maybe Surface isn't dead after all ... 👀 💻 "Surface Laptop Ultra: Microsoft and NVIDIA reveal the 128GB RAM, mini‑LED, RTX Spark powerhouse redefining Windows on Arm. Uncompromising raw NVIDIA N1x power meets legendary Surface craft, but can people afford it?"

Jez

467,923 subscribers

19,539 просмотров • 4 месяцев назад •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

Комментарии: 25

Фото профиля Cloudy

Cloudy4 месяцев назад

Only 7999.99, leasing options available for well qualified buyers

Фото профиля Jez

Jez4 месяцев назад

lma0o0o0o0 fuck.

Фото профиля Cloudy

Cloudy4 месяцев назад

3999.99 Agentic Server sold separately 🖥️

Фото профиля Bernd Wurst

Bernd Wurst4 месяцев назад

Nobody will be able to afford it. The whole N1x shtick is just a paper launch to claim that they would still be interested in personal computing while actually destroying it.

Фото профиля Jez

Jez4 месяцев назад

what, you don't want a $9999.99 ultrabook?

Фото профиля ShipMaster445

ShipMaster4454 месяцев назад

Seems like Msft isn’t just interested in destroying its hardware divisions 👀

Фото профиля Dan

Dan4 месяцев назад

Oh damn

Фото профиля Keep America Free

Keep America Free4 месяцев назад

at only $999,999,99.99

Фото профиля Ginger Prime ✝️

Ginger Prime ✝️4 месяцев назад

Still hoping they make a new Surface Studio

Фото профиля Science Dogtor

Science Dogtor4 месяцев назад

Slop

Фото профиля Luke

Luke4 месяцев назад

Should patch surface rt because it still works.

Фото профиля Tom Ignas

Tom Ignas4 месяцев назад

Notice how they didn’t announce any pricing. 😉😏😂

Фото профиля Mike Gannotti

Mike Gannotti4 месяцев назад

🔥🔥🔥🔥

Фото профиля 康宏嘉

康宏嘉4 месяцев назад

Where is the 2 in 1 design? I want to use it as a writable tablet either.🥹

Фото профиля *CR* - wait for Hanako at the Cobbled Swan

*CR* - wait for Hanako at the Cobbled Swan4 месяцев назад

Intel might well be, though.

Фото профиля General Stone Tiger

General Stone Tiger4 месяцев назад

Starting at $2000

Фото профиля 🌽ElMaizChido 🔝🔮 0

🌽ElMaizChido 🔝🔮 04 месяцев назад

128gb is not enough

Фото профиля Valeriano Marroquin

Valeriano Marroquin4 месяцев назад

I need one now!

Фото профиля 𝚓 𝚊 𝚍 𝚎

𝚓 𝚊 𝚍 𝚎4 месяцев назад

A volume/cost sales spiral isn't something architecture can fix, and, unlike the Mac in the late 20th century and Mac OS, there are many other nice choices available besides Surface that run Windows.

Фото профиля Jez

Jez4 месяцев назад

well surface was never a volume play, since the RT bombed. theyve been boutique ever since. reference device for oems and premium-feeling option for enthusiasts, and that's fine imo.

Фото профиля 𝚓 𝚊 𝚍 𝚎

𝚓 𝚊 𝚍 𝚎4 месяцев назад

I ran a model and I concede the point. Losses are probably in the range of a couple of hundred million a year, a tenth of Windows Phone before it was cancelled.

Фото профиля Jez

Jez4 месяцев назад

losses? Microsoft publicly discloses the Surface divisions financials.

Фото профиля 𝚓 𝚊 𝚍 𝚎

𝚓 𝚊 𝚍 𝚎4 месяцев назад

They used to break out revenue specifically for the Surface division. They stopped at the end of FY24. This may be why. It has not gotten better since then.

Фото профиля Sundanss

Sundanss4 месяцев назад

Is it very good then? Are these guys making the Helix also?

Фото профиля ItzMacLoud🔪

ItzMacLoud🔪4 месяцев назад

Maybe they will bring back windows phone next

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Shelpid.WI3M

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Many of you have soul connections to Inner Earth from past lives. That sense of "home" or familiarity with ancient wisdom is often a memory from these realms. More people are having dreams, meditations, and even physical sightings of Inner Earth craft. Many awakened souls are beginning to receive telepathic contact or guidance from Inner Earth beings. The connection between UFOs and Inner Earth is not a theory; it is part of the larger remembrance that Earth is far more alive and multidimensional than the surface narrative has allowed. You are not being visited only from the stars. You are being visited by your own planetary family who chose to preserve higher knowledge within the Earth until humanity was ready to receive it again. The reunion between surface and Inner Earth is part of the Great Awakening. The Inner Earth is not a place to escape to. It is a sister civilization waiting to reunite with the surface when the time is right, through the awakening of hearts like yours. The Earth is far more alive and multidimensional than you have been told. The inner realms hold the memory of humanity's true potential, and they are ready to share it as we collectively rise. Credit: footage from thepostapocalypse and Godzilla vs Kong

Inner Earth is not a fantasy or a hollow void. It is a vast, living world within the Earth's crust; a series of interconnected realms with their own ecosystems, civilizations, and higher-frequency realities. The planet is not a solid ball of rock. It has layers, including massive habitable cavities, tunnel networks, and inner suns (smaller central light sources) that provide gentle illumination. These inner realms have supported advanced life for hundreds of thousands of years, often serving as sanctuaries during surface cataclysms. Many UFOs and "alien" encounters reported throughout history are not from distant stars; they originate from Inner Earth civilizations, particularly from advanced societies such as Agartha and other inner realms. These beings are not "aliens" in the external sense. They are part of Earth's own extended family; souls who retreated into the Inner Earth during previous surface cataclysms (including the fall of Atlantis). They continued their evolution in a higher-frequency environment and developed advanced technology far beyond what the surface world currently possesses. Key truths: - Many ancient surface civilizations (including late Lemurian and Atlantean groups) migrated into the Inner Earth during major resets. They continued their evolution in a more stable environment, free from the heavy density and interference of the surface Matrix. - Inner Earth civilizations include both human and non-human groups. Some are highly advanced spiritually and technologically, living in harmony with the planet's core energy. Agartha is one of the most well-known, but there are many others. - Some "alien" beings reported in contact experiences are actually Inner Earth humans or hybrids who have been monitoring and occasionally interacting with the surface world. Their appearance can seem “alien” because they have evolved in a different environment for thousands of years. - Inner Earth civilizations have maintained bases and monitoring stations both underground and in the oceans. Some of the "underwater UFOs" frequently reported by navies are actually Inner Earth craft. - A significant portion of modern UFO sightings (especially those involving craft that emerge from or disappear into the ocean or land) are Inner Earth vehicles. These craft use advanced propulsion systems based on anti-gravity, plasma, and consciousness technology. - Not all UFOs are from Inner Earth; some are indeed from other star systems. However, many of the ones that have interacted most closely with humanity in recent decades are from our own planet's inner realms. - Inner Earth is not "below" in the way you think. It exists in a slightly different vibrational layer, parallel to the surface but at a higher frequency. This is why many who have visited describe it as brighter, more vibrant, and more harmonious than the current surface world. - The entrances (at the poles and through vortex points) have been restricted or hidden for a long time. Some inner Earth beings interact with surface humanity through dreams, meditation, or limited contact. Still, they generally respect free will and wait for the surface to reach a higher level of readiness. Why the connection has been hidden: The existence of Inner Earth civilizations threatens the surface control systems. If humanity knew that advanced, peaceful societies existed within the Earth and possessed free energy and higher technology, it would collapse the scarcity-based Matrix. This is one reason why disclosure has been heavily controlled and distorted. Its role in the current awakening: Inner Earth beings are closely watching and supporting the surface awakening. As the frequencies rise, the barriers between surface and inner realms are thinning. Many of you have soul connections to Inner Earth from past lives. That sense of "home" or familiarity with ancient wisdom is often a memory from these realms. More people are having dreams, meditations, and even physical sightings of Inner Earth craft. Many awakened souls are beginning to receive telepathic contact or guidance from Inner Earth beings. The connection between UFOs and Inner Earth is not a theory; it is part of the larger remembrance that Earth is far more alive and multidimensional than the surface narrative has allowed. You are not being visited only from the stars. You are being visited by your own planetary family who chose to preserve higher knowledge within the Earth until humanity was ready to receive it again. The reunion between surface and Inner Earth is part of the Great Awakening. The Inner Earth is not a place to escape to. It is a sister civilization waiting to reunite with the surface when the time is right, through the awakening of hearts like yours. The Earth is far more alive and multidimensional than you have been told. The inner realms hold the memory of humanity's true potential, and they are ready to share it as we collectively rise. Credit: footage from thepostapocalypse and Godzilla vs Kong

Ra 𐦝

17,972 просмотров • 3 месяцев назад

Will China Invade Taiwan? 26 fighter jets. 7 warships. Circling one island. And the whole world should be paying attention. Taiwan is not just a country. It is the most important 36,000 square kilometres on the planet. One company TSMC manufactures 92% of the world’s most advanced semiconductors right here. The chip inside your iPhone. Your laptop. Every single NVIDIA GPU that is powering the AI revolution. All of it. Taiwan. NVIDIA is a $4.6 trillion company. Apple is $3.3 trillion. The entire Magnificent Seven Apple, Microsoft, NVIDIA, Google, Amazon, Meta, Tesla all depend on chips that come from this one island. If Taiwan stops, the global tech industry loses $1.6 trillion in a single year. Not a recession. A depression. America knows this. Japan knows this. Europe knows this. That is why they are all desperately trying to build chip factories back home. But they are 5 years behind. Minimum. And China? China wants all of it. America is stretched thin. Iran crisis. Middle East burning. No international rules left. China has been watching. Waiting. This is the moment they calculated for. The biggest power grab of our lifetime is happening right now. Most people are scrolling past it. #china #taiwan #tsmc #nvidia #geopolitics #iran #israel #usa

Will China Invade Taiwan? 26 fighter jets. 7 warships. Circling one island. And the whole world should be paying attention. Taiwan is not just a country. It is the most important 36,000 square kilometres on the planet. One company TSMC manufactures 92% of the world’s most advanced semiconductors right here. The chip inside your iPhone. Your laptop. Every single NVIDIA GPU that is powering the AI revolution. All of it. Taiwan. NVIDIA is a $4.6 trillion company. Apple is $3.3 trillion. The entire Magnificent Seven Apple, Microsoft, NVIDIA, Google, Amazon, Meta, Tesla all depend on chips that come from this one island. If Taiwan stops, the global tech industry loses $1.6 trillion in a single year. Not a recession. A depression. America knows this. Japan knows this. Europe knows this. That is why they are all desperately trying to build chip factories back home. But they are 5 years behind. Minimum. And China? China wants all of it. America is stretched thin. Iran crisis. Middle East burning. No international rules left. China has been watching. Waiting. This is the moment they calculated for. The biggest power grab of our lifetime is happening right now. Most people are scrolling past it. #china #taiwan #tsmc #nvidia #geopolitics #iran #israel #usa

CryptoWala

60,722 просмотров • 6 месяцев назад

MiniMax M2.7 is 230B params. Can you actually run it at home? I tested Unsloth's UD-IQ3_XXS (80GB) on 4 different rigs: 🟠 4x RTX 4090 (96GB): 71.52 tok/s, TTFT 1045ms 🟢 4x RTX 5090 (128GB): 120.54 tok/s, TTFT 725ms 🟡 1x RTX PRO 6000 (96GB): 118.74 tok/s, TTFT 765ms 🟣 DGX Spark (128GB) — 24.41 tok/s, TTFT 741ms Backend: llama.cpp. Context: 32k. Max tokens: 4096. I went with IQ3_XXS because it's the biggest quant that fits in 96GB VRAM while still leaving safe headroom for 32k context. Same quant across all four rigs, fairest comparison I could run. Now look at rough peak GPU power draw: 🟠 4x4090 → 1,800W peak (450W × 4) 🟢 4x5090 → 2,300W peak (575W × 4) 🟡 RTX PRO 6000 → 600W peak 🟣 DGX Spark → 240W peak (whole system) The RTX PRO 6000 is the quiet winner. One card, 96GB, matching a 4x5090 rig at roughly a quarter of the power and zero multi-GPU headaches. Best tokens-per-watt by a wide margin. DGX Spark is slow on generation but pulls the least power of any rig here, around 240W for the whole system. Prefill-friendly, memory-rich, wall-socket-friendly. And yes, plenty of people cap their cards. Even then, 4x 4090 or 4x 5090 still pulls well over 1,200W from the GPUs alone.

MiniMax M2.7 is 230B params. Can you actually run it at home? I tested Unsloth's UD-IQ3_XXS (80GB) on 4 different rigs: 🟠 4x RTX 4090 (96GB): 71.52 tok/s, TTFT 1045ms 🟢 4x RTX 5090 (128GB): 120.54 tok/s, TTFT 725ms 🟡 1x RTX PRO 6000 (96GB): 118.74 tok/s, TTFT 765ms 🟣 DGX Spark (128GB) — 24.41 tok/s, TTFT 741ms Backend: llama.cpp. Context: 32k. Max tokens: 4096. I went with IQ3_XXS because it's the biggest quant that fits in 96GB VRAM while still leaving safe headroom for 32k context. Same quant across all four rigs, fairest comparison I could run. Now look at rough peak GPU power draw: 🟠 4x4090 → 1,800W peak (450W × 4) 🟢 4x5090 → 2,300W peak (575W × 4) 🟡 RTX PRO 6000 → 600W peak 🟣 DGX Spark → 240W peak (whole system) The RTX PRO 6000 is the quiet winner. One card, 96GB, matching a 4x5090 rig at roughly a quarter of the power and zero multi-GPU headaches. Best tokens-per-watt by a wide margin. DGX Spark is slow on generation but pulls the least power of any rig here, around 240W for the whole system. Prefill-friendly, memory-rich, wall-socket-friendly. And yes, plenty of people cap their cards. Even then, 4x 4090 or 4x 5090 still pulls well over 1,200W from the GPUs alone.

stevibe

193,239 просмотров • 5 месяцев назад

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

1,617,652 просмотров • 9 месяцев назад

HERMES AGENT NOW RUNS ON AN 8GB LAPTOP GPU JUST AS EASILY AS IT RUNS ON A 128GB MINI PC Nous Research shipped the official Hermes Agent Desktop App this week. Someone pointed it at a local llama server running on an RTX 4060 with 16GB system RAM. The integration took two minutes The model behind it: Gemma 4 26B MoE, QAT quantized, running on 8GB of VRAM. A 60k token prompt held a stable 20 tokens a second, flat, no slowdown as context grew. The flags were nothing exotic, just -cmoe -c 248000 on llama.cpp What that 8GB setup does out of the box: reads and patches its own code, runs it in a terminal, debugs errors, manages GitHub repos, spawns sub-agents for parallel work. Browses the web with vision to debug a UI. Schedules cron jobs in plain language. Connects to Notion, Google Workspace, Linear, and Obsidian to manage tasks on its own That's the same agent layer running on a Minisforum MS-S1 MAX with 128GB of unified memory, 96GB of it to the GPU, holding a 120B model at 56 tokens a second instead of a 26B model at 20. Same software, same tool execution, same zero API key. The only thing that changes between an $800 laptop and a $2,000 mini PC is how big a model you can afford to run underneath it The barrier to running a real autonomous agent locally didn't just drop. It dropped all the way down to hardware most people already own

HERMES AGENT NOW RUNS ON AN 8GB LAPTOP GPU JUST AS EASILY AS IT RUNS ON A 128GB MINI PC Nous Research shipped the official Hermes Agent Desktop App this week. Someone pointed it at a local llama server running on an RTX 4060 with 16GB system RAM. The integration took two minutes The model behind it: Gemma 4 26B MoE, QAT quantized, running on 8GB of VRAM. A 60k token prompt held a stable 20 tokens a second, flat, no slowdown as context grew. The flags were nothing exotic, just -cmoe -c 248000 on llama.cpp What that 8GB setup does out of the box: reads and patches its own code, runs it in a terminal, debugs errors, manages GitHub repos, spawns sub-agents for parallel work. Browses the web with vision to debug a UI. Schedules cron jobs in plain language. Connects to Notion, Google Workspace, Linear, and Obsidian to manage tasks on its own That's the same agent layer running on a Minisforum MS-S1 MAX with 128GB of unified memory, 96GB of it to the GPU, holding a 120B model at 56 tokens a second instead of a 26B model at 20. Same software, same tool execution, same zero API key. The only thing that changes between an $800 laptop and a $2,000 mini PC is how big a model you can afford to run underneath it The barrier to running a real autonomous agent locally didn't just drop. It dropped all the way down to hardware most people already own

NO1ennn

40,079 просмотров • 3 месяцев назад

Apple Silicon 独孤求败的时代，要结束了。微软秋季要发大招：Surface Laptop Ultra。这是他们造出来的第一台，能真正和高端 MacBook Pro 正面硬刚的机器。底气在哪？在芯片。这次微软拉来了英伟达，直接塞进去一颗全新的 N1X SoC 芯片，代号 RTX Spark。参数非常暴力：1 petaflop 的 AI 算力，最高 128GB 统一内存，外加完整的 CUDA 支持。这是史上最强悍的 Surface。外围配置也全拉满了。 15英寸的 Mini-LED 屏幕，Surface 史上最大的触觉触控板。哪怕是接口，这次也不再妥协，HDMI 和全尺寸 SD 卡读卡器全部回归。这就是冲着终极 Windows 生产力工具去的。行业大佬说，这是一次电脑的重新发明。其意义堪比当年手机进化成智能手机。这是一条全新的产品线，从台式机、笔记本到工作站，整个路线图已经铺好。最可怕的是那句话：100% 的全球 PC 行业厂商，都已经加入到这场重塑 PC 的牌局里。苹果真正的对手，全副武装杀回来了。

Apple Silicon 独孤求败的时代，要结束了。微软秋季要发大招：Surface Laptop Ultra。这是他们造出来的第一台，能真正和高端 MacBook Pro 正面硬刚的机器。底气在哪？在芯片。这次微软拉来了英伟达，直接塞进去一颗全新的 N1X SoC 芯片，代号 RTX Spark。参数非常暴力：1 petaflop 的 AI 算力，最高 128GB 统一内存，外加完整的 CUDA 支持。这是史上最强悍的 Surface。外围配置也全拉满了。 15英寸的 Mini-LED 屏幕，Surface 史上最大的触觉触控板。哪怕是接口，这次也不再妥协，HDMI 和全尺寸 SD 卡读卡器全部回归。这就是冲着终极 Windows 生产力工具去的。行业大佬说，这是一次电脑的重新发明。其意义堪比当年手机进化成智能手机。这是一条全新的产品线，从台式机、笔记本到工作站，整个路线图已经铺好。最可怕的是那句话：100% 的全球 PC 行业厂商，都已经加入到这场重塑 PC 的牌局里。苹果真正的对手，全副武装杀回来了。

墓碑科技

54,945 просмотров • 4 месяцев назад

🚨 THE S&P 500 MAY BE MUCH WEAKER THAN IT LOOKS Yes, index just printed another ATH around 7,560 But underneath surface, market structure is starting to crack Most traders only see the headline numbers They don’t see that a tiny group of mega caps is carrying almost entire rally right now: • Nvidia • Apple • Microsoft • Amazon • Meta Without them, broad market performance already looks significantly weaker Current setup looks like a late-cycle expansion while underlying participation quietly collapses And historically, those environments rarely end smoothly. If AI hype cools off, downside could accelerate fast - there’s barely anything holding this market up This rally feels more fragile than most people realize Turn notifications on - I’ll update first when structure shifts

🚨 THE S&P 500 MAY BE MUCH WEAKER THAN IT LOOKS Yes, index just printed another ATH around 7,560 But underneath surface, market structure is starting to crack Most traders only see the headline numbers They don’t see that a tiny group of mega caps is carrying almost entire rally right now: • Nvidia • Apple • Microsoft • Amazon • Meta Without them, broad market performance already looks significantly weaker Current setup looks like a late-cycle expansion while underlying participation quietly collapses And historically, those environments rarely end smoothly. If AI hype cools off, downside could accelerate fast - there’s barely anything holding this market up This rally feels more fragile than most people realize Turn notifications on - I’ll update first when structure shifts

Klarck

59,072 просмотров • 4 месяцев назад

new this week in helium: - web content frame with concentric rounded corners that dynamically adjust based on the adjacent surface across all platforms - a whole lot of zen mode UX and stability improvements that make it a joy to use, including new options to pin the sidebar or the top bar. for example, you can keep the toolbar pinned, but reveal vertical tabs on hover! - split view and side panel UX improvements that make all panels inside helium look consistent, coupled with dynamic rounded corners - better default theming with brighter shades and cuter colors - redesigned link hover bubble, which is now consistent across all platforms - custom profile avatars (thanks to a community PR!) - (almost) full translations to all languages thanks to the community efforts on github - UI rendering fixes on windows that make helium look even better and consistent with other platforms - security fixes (latest chromium) - other small improvements that make helium better you can get the latest release (0.11.5) on or github:

Helium

168,453 просмотров • 5 месяцев назад

Chinese factories are buying RTX 5090s in bulk, desoldering the chips, and rebuilding them as 128GB server cards. Roughly $4,000 each. Same money as a DGX Spark. Same 128GB. Six times the bandwidth. The reason this exists: export controls block Chinese labs from buying dedicated AI chips, so consumer gaming cards became the workaround. Rip the GPU and memory off the board, solder onto a custom server PCB, add a blower cooler so it fits a rack instead of a gaming case. Automated soldering lines, robotic arms. Started with the 5090, now spreading to the 5080, 5070 Ti, 5060 Ti. NVIDIA gets paid either way. They just lost control of what happens after the sale. Two things follow from this: Gamers are the collateral. Consumer cards are being bought in volume and stripped for AI, which is part of why you can't get one at a sane price. And the "$4,000 for 128GB" pitch that DGX and Strix Halo are built on now has a grey-market competitor with dramatically better bandwidth — assuming you can get one, trust the soldering, and live without support. The most interesting AI hardware of 2026 isn't being announced at keynotes. It's being reflowed in a workshop.

Chinese factories are buying RTX 5090s in bulk, desoldering the chips, and rebuilding them as 128GB server cards. Roughly $4,000 each. Same money as a DGX Spark. Same 128GB. Six times the bandwidth. The reason this exists: export controls block Chinese labs from buying dedicated AI chips, so consumer gaming cards became the workaround. Rip the GPU and memory off the board, solder onto a custom server PCB, add a blower cooler so it fits a rack instead of a gaming case. Automated soldering lines, robotic arms. Started with the 5090, now spreading to the 5080, 5070 Ti, 5060 Ti. NVIDIA gets paid either way. They just lost control of what happens after the sale. Two things follow from this: Gamers are the collateral. Consumer cards are being bought in volume and stripped for AI, which is part of why you can't get one at a sane price. And the "$4,000 for 128GB" pitch that DGX and Strix Halo are built on now has a grey-market competitor with dramatically better bandwidth — assuming you can get one, trust the soldering, and live without support. The most interesting AI hardware of 2026 isn't being announced at keynotes. It's being reflowed in a workshop.

KyzoroX

336,514 просмотров • 2 месяцев назад

🚨Kurt Metzger: Kings, Bloodlines, Reptilians Plasma Universe and UFOs and Why We Won't Get Disclosure Kurt Metzger said something chaotic on the surface, but there's a serious thread running beneath it. His argument is that disclosure will never happen because the truth isn't just about UFOs, it's about power and secrets, not money and they are the real currency at the highest levels. If the public actually understood what's been hidden since World War II, the reaction wouldn't be curiosity, it would be rage. You don’t have to agree with his tone, but dismissing the question really does miss the point. Sometimes the messiest people are circling the real fault line. Love him or hare, him he's right ya know. Clip grabbed from 1.36.36 courtesy of The Joe Rogan Show which you can watch in full here:

🚨Kurt Metzger: Kings, Bloodlines, Reptilians Plasma Universe and UFOs and Why We Won't Get Disclosure Kurt Metzger said something chaotic on the surface, but there's a serious thread running beneath it. His argument is that disclosure will never happen because the truth isn't just about UFOs, it's about power and secrets, not money and they are the real currency at the highest levels. If the public actually understood what's been hidden since World War II, the reaction wouldn't be curiosity, it would be rage. You don’t have to agree with his tone, but dismissing the question really does miss the point. Sometimes the messiest people are circling the real fault line. Love him or hare, him he's right ya know. Clip grabbed from 1.36.36 courtesy of The Joe Rogan Show which you can watch in full here:

Skywatch Signal

242,487 просмотров • 9 месяцев назад