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When smart cameras scale, bandwidth becomes the bottleneck — not the vision. At 100 cameras, 100 always-on streams will overwhelm most networks. In our latest Innovation Demo, Chelsea Andrews and Austin Siedentopf break down why the answer isn’t more bandwidth — it’s edge compute. Process locally. Send metadata. Pull...

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569,819 просмотров • 5 месяцев назад •via X (Twitter)

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Understanding the BitTorrent Swarm — A Broader Look With Real Data Dynamics BitTorrent isn’t just a file-sharing protocol; it’s one of the most efficient large-scale distribution systems ever designed. At its core lies a simple but powerful principle: when users contribute bandwidth, the entire network accelerates. This is the swarm and its efficiency can be explained through clear data patterns and network behavior. 🔹 The Swarm Model: How Participation Becomes Performance In a traditional client-server setup, bandwidth is fixed. If 10,000 users try to download a 1 GB file from one server with 1 Gbps bandwidth: ➠ Maximum theoretical throughput per user: 0.1 Mbps ➠ Average download time: 2–3 hours ➠ Server overload: very likely BitTorrent rewrites this logic. When 10,000 users join a swarm and each contributes only 50–200 Kbps of upload bandwidth, the network’s total available throughput multiplies thousands of times. This is why, in real swarm studies: ➠ Larger swarms consistently show 30–400% faster download speeds ➠ Popular torrents reach equilibrium within minutes, not hours ➠ Throughput per user remains stable even under heavy demand BitTorrent’s efficiency grows with usage — something centralized systems struggle with. 🔹 Why More Peers = More Speed (Backed by Data Behavior) BitTorrent breaks files into hundreds or thousands of small pieces. Each piece circulates among peers using a strategy called rarest-first ensuring no piece becomes a bottleneck. Here’s what the data shows: 1. Bandwidth multiplication effect If each peer contributes: ➠ 100 peers × 100 Kbps upload = 10 Mbps swarm capacity ➠ 5,000 peers × 150 Kbps upload = 750 Mbps swarm capacity ➠ 20,000 peers × 200 Kbps upload = 4 Gbps swarm capacity This turning point when collective bandwidth surpasses any server is why torrents of large files often download faster than centralized sources. 2. Availability resilience Even if 90% of peers leave, as long as one full copy exists across the swarm’s collective pieces, the file is recoverable without interruption. 3. Load balancing automatically occurs BitTorrent’s choking/unchoking algorithm ensures: ➠ High-bandwidth peers exchange more data ➠ Low-bandwidth peers still participate ➠ No single peer becomes a bottleneck The data flow adapts in real time based on peer performance. 🔹 The Swarm’s Global Impact: Why It Still Matters BitTorrent traffic routinely accounts for: ➠ 10–20% of global internet upload traffic (varies by region) ➠ Multiple petabytes of data exchanged daily ➠ Millions of active swarms at any given time The model works because it scales with demand: ➠ More users → more bandwidth. ➠ More bandwidth → faster delivery. ➠ Faster delivery → stronger swarm health. This “self-reinforcing cycle” is a core reason decentralized systems from Web3 storage to blockchain data sync borrow heavily from BitTorrent’s architecture. 🔹 The Big Picture The BitTorrent swarm illustrates an important truth about decentralized networks: Efficiency doesn’t come from the center it comes from participation. When thousands of people contribute small amounts of bandwidth, the result is a global system capable of speeds that outperform traditional content delivery models. This is not just technology; it’s cooperative acceleration at internet scale. In One Line Files move faster when everyone contributes and BitTorrent proves it with real data. H.E. Justin Sun 👨‍🚀 🌞 BitTorrent #TRONEcoStar #BitTorrent #SwarmNetwork #DataAnalysis #DecentralizedSystems #P2P
1:05

Understanding the BitTorrent Swarm — A Broader Look With Real Data Dynamics BitTorrent isn’t just a file-sharing protocol; it’s one of the most efficient large-scale distribution systems ever designed. At its core lies a simple but powerful principle: when users contribute bandwidth, the entire network accelerates. This is the swarm and its efficiency can be explained through clear data patterns and network behavior. 🔹 The Swarm Model: How Participation Becomes Performance In a traditional client-server setup, bandwidth is fixed. If 10,000 users try to download a 1 GB file from one server with 1 Gbps bandwidth: ➠ Maximum theoretical throughput per user: 0.1 Mbps ➠ Average download time: 2–3 hours ➠ Server overload: very likely BitTorrent rewrites this logic. When 10,000 users join a swarm and each contributes only 50–200 Kbps of upload bandwidth, the network’s total available throughput multiplies thousands of times. This is why, in real swarm studies: ➠ Larger swarms consistently show 30–400% faster download speeds ➠ Popular torrents reach equilibrium within minutes, not hours ➠ Throughput per user remains stable even under heavy demand BitTorrent’s efficiency grows with usage — something centralized systems struggle with. 🔹 Why More Peers = More Speed (Backed by Data Behavior) BitTorrent breaks files into hundreds or thousands of small pieces. Each piece circulates among peers using a strategy called rarest-first ensuring no piece becomes a bottleneck. Here’s what the data shows: 1. Bandwidth multiplication effect If each peer contributes: ➠ 100 peers × 100 Kbps upload = 10 Mbps swarm capacity ➠ 5,000 peers × 150 Kbps upload = 750 Mbps swarm capacity ➠ 20,000 peers × 200 Kbps upload = 4 Gbps swarm capacity This turning point when collective bandwidth surpasses any server is why torrents of large files often download faster than centralized sources. 2. Availability resilience Even if 90% of peers leave, as long as one full copy exists across the swarm’s collective pieces, the file is recoverable without interruption. 3. Load balancing automatically occurs BitTorrent’s choking/unchoking algorithm ensures: ➠ High-bandwidth peers exchange more data ➠ Low-bandwidth peers still participate ➠ No single peer becomes a bottleneck The data flow adapts in real time based on peer performance. 🔹 The Swarm’s Global Impact: Why It Still Matters BitTorrent traffic routinely accounts for: ➠ 10–20% of global internet upload traffic (varies by region) ➠ Multiple petabytes of data exchanged daily ➠ Millions of active swarms at any given time The model works because it scales with demand: ➠ More users → more bandwidth. ➠ More bandwidth → faster delivery. ➠ Faster delivery → stronger swarm health. This “self-reinforcing cycle” is a core reason decentralized systems from Web3 storage to blockchain data sync borrow heavily from BitTorrent’s architecture. 🔹 The Big Picture The BitTorrent swarm illustrates an important truth about decentralized networks: Efficiency doesn’t come from the center it comes from participation. When thousands of people contribute small amounts of bandwidth, the result is a global system capable of speeds that outperform traditional content delivery models. This is not just technology; it’s cooperative acceleration at internet scale. In One Line Files move faster when everyone contributes and BitTorrent proves it with real data. H.E. Justin Sun 👨‍🚀 🌞 BitTorrent #TRONEcoStar #BitTorrent #SwarmNetwork #DataAnalysis #DecentralizedSystems #P2P

catalina ossa

50,297 просмотров • 9 месяцев назад

$MU $SKHY $DRAM Holy Shit $AMD's Lisa Su just spent two full minutes at the 2026 AI keynote raving about HBM4 capacity as the thing that separates Helios from the competition. Not compute. Memory. "When you compare Helios to the competition, we're delivering 15% more compute, 50% more HBM4 memory capacity and memory bandwidth, and 50% more scale-out bandwidth." Notice which number is bigger. "What that means is that every Helios can deliver more performance for the largest models, more capacity for longer context, and the bandwidth to scale across thousands of racks.... More than 18,000 CDNA five GPU compute units, over 4,600 Zen 6 CPU cores, and 31 terabytes of HBM4 memory, all in a single rack." "That's what it takes to run agentic AI at scale. Today, I'm excited to announce that Helios is in full production. We have shipments on track to start at the end of the third quarter and ramping into the fourth quarter in the second half of the year. I can tell you, customer demand for Helios is extremely strong, we're extremely proud of the work that we have done across the leading AI labs to adopt Helios."
1:53

$MU $SKHY $DRAM Holy Shit $AMD's Lisa Su just spent two full minutes at the 2026 AI keynote raving about HBM4 capacity as the thing that separates Helios from the competition. Not compute. Memory. "When you compare Helios to the competition, we're delivering 15% more compute, 50% more HBM4 memory capacity and memory bandwidth, and 50% more scale-out bandwidth." Notice which number is bigger. "What that means is that every Helios can deliver more performance for the largest models, more capacity for longer context, and the bandwidth to scale across thousands of racks.... More than 18,000 CDNA five GPU compute units, over 4,600 Zen 6 CPU cores, and 31 terabytes of HBM4 memory, all in a single rack." "That's what it takes to run agentic AI at scale. Today, I'm excited to announce that Helios is in full production. We have shipments on track to start at the end of the third quarter and ramping into the fourth quarter in the second half of the year. I can tell you, customer demand for Helios is extremely strong, we're extremely proud of the work that we have done across the leading AI labs to adopt Helios."

Trade Whisperer

179,812 просмотров • 24 дней назад

Programmable Bandwidth is crypto’s next meta. Gm rent your spare Wi-Fi to AI. AI needs more data. AGI is coming. Are you ready? Bandwidth = how much data your connection moves per second. Residential IP = your home’s street address on the internet, trusted as human traffic that doesn’t get blocked. Together, Bandwidth + Residential IP = clean, high-trust traffic that data buyers and AI teams actually want. The community becomes the network. LLMs eat data. The more and the higher quality, the smarter they get. Owning the data pipeline = owning the power. Proof it’s valuable: big platforms license conversational & user-generated data for serious money. Many 8-figure+ deals are public, many more done under the table. Proprietary datasets are the real edge in this AI world. Why residential IPs matter: datacenter IPs get blocked by anti-scraping shields. Residential IP networks are resilient. Grass showed the playbook: idle bandwidth can pay twice 1️⃣ Web data collection via your node 2️⃣ Renting those nodes to GPU grids for training Data + compute = compounding revenue. Hub ( takes it further: aggregate community bandwidth → build a Residential IP Supernetwork → sell real-time data APIs to enterprises (from Meta to Web2 startups). The value loop: Community miners → Bandwidth pool → Enterprise feeds → Revenue → Rewards. If revenue outpaces incentives, everyone wins. Balancing it won’t be easy, time will tell. For miners: run on the network, earn points (likely $HUB at mainnet). Early participation can matter. Why DePIN? Community-run networks scale faster, are harder to censor, and more resilient than centralized systems. We are long programmable bandwidth thesis. In an agent-driven world, whoever controls the live data feed mints the money. DYOR. Register NOW
0:24

Programmable Bandwidth is crypto’s next meta. Gm rent your spare Wi-Fi to AI. AI needs more data. AGI is coming. Are you ready? Bandwidth = how much data your connection moves per second. Residential IP = your home’s street address on the internet, trusted as human traffic that doesn’t get blocked. Together, Bandwidth + Residential IP = clean, high-trust traffic that data buyers and AI teams actually want. The community becomes the network. LLMs eat data. The more and the higher quality, the smarter they get. Owning the data pipeline = owning the power. Proof it’s valuable: big platforms license conversational & user-generated data for serious money. Many 8-figure+ deals are public, many more done under the table. Proprietary datasets are the real edge in this AI world. Why residential IPs matter: datacenter IPs get blocked by anti-scraping shields. Residential IP networks are resilient. Grass showed the playbook: idle bandwidth can pay twice 1️⃣ Web data collection via your node 2️⃣ Renting those nodes to GPU grids for training Data + compute = compounding revenue. Hub ( takes it further: aggregate community bandwidth → build a Residential IP Supernetwork → sell real-time data APIs to enterprises (from Meta to Web2 startups). The value loop: Community miners → Bandwidth pool → Enterprise feeds → Revenue → Rewards. If revenue outpaces incentives, everyone wins. Balancing it won’t be easy, time will tell. For miners: run on the network, earn points (likely $HUB at mainnet). Early participation can matter. Why DePIN? Community-run networks scale faster, are harder to censor, and more resilient than centralized systems. We are long programmable bandwidth thesis. In an agent-driven world, whoever controls the live data feed mints the money. DYOR. Register NOW

Q42

39,768 просмотров • 11 месяцев назад

Tesla’s vision-only approach to solve FSD got laughed at for many years. People called it reckless, said just cameras would never be enough, and even claimed Tesla was cutting corners. Fast forward to today, it’s pretty clear who was right. “It’s so obvious you can solve this with cameras. Why wouldn’t you solve with cameras? It’s 2026. The self-driving problem is not a sensor problem, it’s an AI problem. The cameras have enough information already. It’s a problem of extracting the information, which is an AI problem.” - Ashok Elluswamy, VP of AI at Tesla. Just like us humans, we drive with eyes, we walk with eyes, literally we do everything with our eyes. We don’t have lidar spinning and laser beams on our heads. We simply see the world and our brain figures it out… all from vision. For so many years, the industry treated autonomy like it was a hardware problem. Like “if cameras struggle, just add more sensors.” That’s exactly how companies like Waymo ended up with sensor towers that look like crazy science projects. So ugly btw too… That approach might have made sense in 2008, but not today! Bc back then, AI wasn’t good enough to truly understand the world. So engineers had no choice but to lean on lidar and radar for help. But today, cameras capture insane amounts of information, I’m talking billions of pixels every second. The thing that was missing was AI intelligence. And when AI can understand why a car is slowing or why a pedestrian is hesitating, or real world things, you just need a better brain instead of more sensors. And now, everyone else is realizing this… the future of autonomy was always about understanding the world through vision, just like we humans do. That’s the bet that Elon and Tesla made early on… he was already years ahead of everyone, when everyone was doubling down on LiDAR and radar, even when so many people mocked them for switching early. Tesla vision for the win!!! 🥇
1:11

Tesla’s vision-only approach to solve FSD got laughed at for many years. People called it reckless, said just cameras would never be enough, and even claimed Tesla was cutting corners. Fast forward to today, it’s pretty clear who was right. “It’s so obvious you can solve this with cameras. Why wouldn’t you solve with cameras? It’s 2026. The self-driving problem is not a sensor problem, it’s an AI problem. The cameras have enough information already. It’s a problem of extracting the information, which is an AI problem.” - Ashok Elluswamy, VP of AI at Tesla. Just like us humans, we drive with eyes, we walk with eyes, literally we do everything with our eyes. We don’t have lidar spinning and laser beams on our heads. We simply see the world and our brain figures it out… all from vision. For so many years, the industry treated autonomy like it was a hardware problem. Like “if cameras struggle, just add more sensors.” That’s exactly how companies like Waymo ended up with sensor towers that look like crazy science projects. So ugly btw too… That approach might have made sense in 2008, but not today! Bc back then, AI wasn’t good enough to truly understand the world. So engineers had no choice but to lean on lidar and radar for help. But today, cameras capture insane amounts of information, I’m talking billions of pixels every second. The thing that was missing was AI intelligence. And when AI can understand why a car is slowing or why a pedestrian is hesitating, or real world things, you just need a better brain instead of more sensors. And now, everyone else is realizing this… the future of autonomy was always about understanding the world through vision, just like we humans do. That’s the bet that Elon and Tesla made early on… he was already years ahead of everyone, when everyone was doubling down on LiDAR and radar, even when so many people mocked them for switching early. Tesla vision for the win!!! 🥇

Teslaconomics

19,357 просмотров • 6 месяцев назад

BREAKING: An Epstein survivor is now demanding Pam Bondi testify UNDER OATH, ON VIDEO, with the FULL transcript released publicly. And honestly, that should not even be controversial. Because right now the public is looking at: - closed-door interviews - no cameras - no oath - DOJ lawyers in the room - selective refusals to answer questions - and transcripts reviewed before release Meanwhile survivors are asking for the most basic thing possible: Transparency. Their argument is simple: accountability cannot only exist when it’s politically convenient.
0:22

BREAKING: An Epstein survivor is now demanding Pam Bondi testify UNDER OATH, ON VIDEO, with the FULL transcript released publicly. And honestly, that should not even be controversial. Because right now the public is looking at: - closed-door interviews - no cameras - no oath - DOJ lawyers in the room - selective refusals to answer questions - and transcripts reviewed before release Meanwhile survivors are asking for the most basic thing possible: Transparency. Their argument is simple: accountability cannot only exist when it’s politically convenient.

Brian Allen

34,357 просмотров • 2 месяцев назад

Andrew Ng just revealed why the AI companies throwing the most compute at the problem are going to lose. The winner of the intelligence race won’t use the most compute. They’ll waste the least. Ng: “Most of your high-dimensional data lies on a lower-dimensional subspace. It’s just a fact of life.” Here’s what that means in practice. You have a 10,000-dimensional dataset. Every dimension dragged through every calculation. Every training cycle hauling dead weight the model will never use. Ng: “You’re carrying around these 10,000-dimensional examples throughout your whole training process.” That bloat isn’t just inefficient. It’s a tax on every computation you run. Memory bandwidth. Network bandwidth. Computational speed. All of it eaten by dimensions that contribute nothing to intelligence. They contribute noise. The insight that separates the architects from the arms race: that 10,000-dimensional dataset is almost entirely captured by a much smaller subspace. The signal lives in a fraction of the space you’re paying to process. Compress it. 10,000 dimensions down to 1,000. Ng: “You can run your learning algorithm on a much lower-dimensional set of data and it may be much more efficient.” Same hardware. Same budget. A fraction of the friction. Brute force is the strategy of whoever has the deepest pockets. Compression is the strategy of whoever actually understands the problem. The companies that master this don’t just build faster models. They build models that find more truth in less data than anything scaling blindly ever will. Intelligence was never about processing everything. It’s about knowing what to cut.
1:14

Andrew Ng just revealed why the AI companies throwing the most compute at the problem are going to lose. The winner of the intelligence race won’t use the most compute. They’ll waste the least. Ng: “Most of your high-dimensional data lies on a lower-dimensional subspace. It’s just a fact of life.” Here’s what that means in practice. You have a 10,000-dimensional dataset. Every dimension dragged through every calculation. Every training cycle hauling dead weight the model will never use. Ng: “You’re carrying around these 10,000-dimensional examples throughout your whole training process.” That bloat isn’t just inefficient. It’s a tax on every computation you run. Memory bandwidth. Network bandwidth. Computational speed. All of it eaten by dimensions that contribute nothing to intelligence. They contribute noise. The insight that separates the architects from the arms race: that 10,000-dimensional dataset is almost entirely captured by a much smaller subspace. The signal lives in a fraction of the space you’re paying to process. Compress it. 10,000 dimensions down to 1,000. Ng: “You can run your learning algorithm on a much lower-dimensional set of data and it may be much more efficient.” Same hardware. Same budget. A fraction of the friction. Brute force is the strategy of whoever has the deepest pockets. Compression is the strategy of whoever actually understands the problem. The companies that master this don’t just build faster models. They build models that find more truth in less data than anything scaling blindly ever will. Intelligence was never about processing everything. It’s about knowing what to cut.

Dustin

215,371 просмотров • 5 месяцев назад

Elon Musk just revealed what happens when Neuralink and Optimus merge, and it’s not about helping the disabled. It’s about making them better than you. “You’d have basically Cybernetics Superpowers.” Not recovery. Evolution. Lose a limb and the replacement isn’t restoration. It’s upgrade to capabilities biology never provided. Optimus hardware. Neuralink bandwidth. Brain commands routing directly to mechanical limbs with zero latency. Musk: “The motor commands from your brain… now go to your robot arms or robot legs.” Neural signals hit robotic targets. Thought becomes motion. Precision exceeding anything flesh achieved. Not fixing disability. Creating advantage. Musk: “Combine that with a Neuralink.” Where his two biggest projects collide. Medical application for amputees becomes the wedge. Optimus arm attached. Neuralink implanted. Brain signals reroute to mechanical hardware seamlessly. Think movement. Machine executes. Not approximation of biological function. Direct neural control of superior platform. Musk: “Motor commands from your brain… go to your robot arms.” The gap between human and machine is just wiring. Neuralink bridges it. Optimus provides hardware that outperforms biology in every metric. Robotic limb lifts ten times more. Reacts faster. Never tires. Never weakens. The replacement isn’t equivalent. It’s superior. Musk: “And again, you’d have basically Cybernetics Superpowers.” We’re not restoring function. We’re demonstrating that biology was the limitation. Once someone with Optimus limbs provably outperforms biological humans, injury stops being tragedy and becomes competitive edge. The amputee isn’t disadvantaged anymore. They’re enhanced. Stronger. Faster. More capable than intact humans beside them. That’s when everything inverts. Disability stops being disability when the replacement exceeds the original. And once performance gap becomes visible and measurable, keeping biological limbs becomes the handicap. Why biological arm strength when mechanical replacement lifts exponentially more? Why biological endurance when robotic systems don’t fatigue? Why accept limitations when alternatives eliminate them? The injured person with upgrades isn’t trying to reach normal. They surpassed it. And everyone still constrained by biology just became comparatively disabled. At that point, waiting for injury to get enhancement becomes irrational. People seek elective replacement. Functional biology gets swapped for superior mechanics because performance matters more than origin. Your body isn’t sacred. It’s legacy hardware running obsolete specifications. And when better hardware integrates seamlessly through neural interface, keeping the original stops being preservation and becomes self-imposed limitation. Neuralink plus Optimus doesn’t help the disabled catch up to the able-bodied. It makes the able-bodied obsolete. And once that’s obvious, once enhanced humans demonstrably outcompete biological ones, the question stops being whether we should upgrade and becomes how fast we can before everyone else does and we’re left behind operating with inferior equipment. The disabled aren’t getting fixed. They’re getting first access to the platform that makes everyone else obsolete. And biology’s reign as optimal human configuration just got an expiration date.
0:28

Elon Musk just revealed what happens when Neuralink and Optimus merge, and it’s not about helping the disabled. It’s about making them better than you. “You’d have basically Cybernetics Superpowers.” Not recovery. Evolution. Lose a limb and the replacement isn’t restoration. It’s upgrade to capabilities biology never provided. Optimus hardware. Neuralink bandwidth. Brain commands routing directly to mechanical limbs with zero latency. Musk: “The motor commands from your brain… now go to your robot arms or robot legs.” Neural signals hit robotic targets. Thought becomes motion. Precision exceeding anything flesh achieved. Not fixing disability. Creating advantage. Musk: “Combine that with a Neuralink.” Where his two biggest projects collide. Medical application for amputees becomes the wedge. Optimus arm attached. Neuralink implanted. Brain signals reroute to mechanical hardware seamlessly. Think movement. Machine executes. Not approximation of biological function. Direct neural control of superior platform. Musk: “Motor commands from your brain… go to your robot arms.” The gap between human and machine is just wiring. Neuralink bridges it. Optimus provides hardware that outperforms biology in every metric. Robotic limb lifts ten times more. Reacts faster. Never tires. Never weakens. The replacement isn’t equivalent. It’s superior. Musk: “And again, you’d have basically Cybernetics Superpowers.” We’re not restoring function. We’re demonstrating that biology was the limitation. Once someone with Optimus limbs provably outperforms biological humans, injury stops being tragedy and becomes competitive edge. The amputee isn’t disadvantaged anymore. They’re enhanced. Stronger. Faster. More capable than intact humans beside them. That’s when everything inverts. Disability stops being disability when the replacement exceeds the original. And once performance gap becomes visible and measurable, keeping biological limbs becomes the handicap. Why biological arm strength when mechanical replacement lifts exponentially more? Why biological endurance when robotic systems don’t fatigue? Why accept limitations when alternatives eliminate them? The injured person with upgrades isn’t trying to reach normal. They surpassed it. And everyone still constrained by biology just became comparatively disabled. At that point, waiting for injury to get enhancement becomes irrational. People seek elective replacement. Functional biology gets swapped for superior mechanics because performance matters more than origin. Your body isn’t sacred. It’s legacy hardware running obsolete specifications. And when better hardware integrates seamlessly through neural interface, keeping the original stops being preservation and becomes self-imposed limitation. Neuralink plus Optimus doesn’t help the disabled catch up to the able-bodied. It makes the able-bodied obsolete. And once that’s obvious, once enhanced humans demonstrably outcompete biological ones, the question stops being whether we should upgrade and becomes how fast we can before everyone else does and we’re left behind operating with inferior equipment. The disabled aren’t getting fixed. They’re getting first access to the platform that makes everyone else obsolete. And biology’s reign as optimal human configuration just got an expiration date.

Dustin

76,701 просмотров • 6 месяцев назад

THIS IS A $100 TRILLION MOMENT FOR CRYPTO DTCC sits at the center of U.S. capital markets and custodies ~$100T in assets. It just began moving real assets onto blockchain rails -- with Canton Network as the first network, not the only one. They’re starting with U.S. Treasuries, the most important collateral in the world. Assets that still take days to move can now move in real time, 24/7. This isn’t experimental, Canton already processes ~10% of the U.S. repo market, moving $400B+ per day. The signal here is scale. When the plumbing of global finance starts testing crypto rails, the question isn’t if tokenization works. It’s which rails win next -- and who follows. 👀
4:04

THIS IS A $100 TRILLION MOMENT FOR CRYPTO DTCC sits at the center of U.S. capital markets and custodies ~$100T in assets. It just began moving real assets onto blockchain rails -- with Canton Network as the first network, not the only one. They’re starting with U.S. Treasuries, the most important collateral in the world. Assets that still take days to move can now move in real time, 24/7. This isn’t experimental, Canton already processes ~10% of the U.S. repo market, moving $400B+ per day. The signal here is scale. When the plumbing of global finance starts testing crypto rails, the question isn’t if tokenization works. It’s which rails win next -- and who follows. 👀

CryptosRus

98,974 просмотров • 7 месяцев назад

It’s a bummer… but it was a MAJOR update from Tesla’s Q1 2026 earnings call today with Elon confirming that Hardware 3 will not be able to achieve Unsupervised FSD. “Unfortunately, Hardware 3, I wish it were otherwise, but Hardware 3 simply does not have the capabilities to achieve Unsupervised FSD. You know, we did think at one point it would have that, but relative to hardware, it has only 1/8 of the memory bandwidth of Hardware 4, and memory bandwidth is one of the key elements needed for Unsupervised FSD.” Tesla plans to fix it for customers who bought FSD by: A) Discounted trade-in toward a vehicle with full Hardware 4 OR B) Direct upgrade by replacing the HW3 computer and the cameras to bring the car to HW4 spec To make upgrades fast and scalable, Elon also told us that: “…we’re going to have to set up like, kind of microfactories or small factories in major metropolitan areas… So we basically need like many production lines to make the change.” He also said over time it makes sense to convert all HW3 cars to HW4 bc this is what will enable them to enter the Robotaxi fleet and have Unsupervised FSD. Sorry for HW3 Tesla owners… but thanks for the update Elon.
2:01

It’s a bummer… but it was a MAJOR update from Tesla’s Q1 2026 earnings call today with Elon confirming that Hardware 3 will not be able to achieve Unsupervised FSD. “Unfortunately, Hardware 3, I wish it were otherwise, but Hardware 3 simply does not have the capabilities to achieve Unsupervised FSD. You know, we did think at one point it would have that, but relative to hardware, it has only 1/8 of the memory bandwidth of Hardware 4, and memory bandwidth is one of the key elements needed for Unsupervised FSD.” Tesla plans to fix it for customers who bought FSD by: A) Discounted trade-in toward a vehicle with full Hardware 4 OR B) Direct upgrade by replacing the HW3 computer and the cameras to bring the car to HW4 spec To make upgrades fast and scalable, Elon also told us that: “…we’re going to have to set up like, kind of microfactories or small factories in major metropolitan areas… So we basically need like many production lines to make the change.” He also said over time it makes sense to convert all HW3 cars to HW4 bc this is what will enable them to enter the Robotaxi fleet and have Unsupervised FSD. Sorry for HW3 Tesla owners… but thanks for the update Elon.

Teslaconomics

89,315 просмотров • 3 месяцев назад

This speech is less about celebration and more about signaling a shift in how the business will operate going forward. The numbers already show a clear pattern 16 years for the first 100 MMT, and now every 100 MMT coming in ~2 years. That kind of acceleration usually happens when systems, not just assets, start scaling. What’s interesting is the emphasis on decentralisation and last-mile execution. When leadership starts talking about pushing decisions closer to the ground and reducing hierarchy, it typically means the organisation has reached a size where speed becomes the biggest constraint. The focus on workers and partners isn’t just emotional framing. In large infrastructure networks, reliability depends heavily on execution consistency and ecosystem strength, not just ownership of assets. This looks like a transition phase from expansion-led growth to efficiency- and system-led scaling. If executed well, that’s what sustains high growth at this level. If not, complexity can slow things down.
1:36

This speech is less about celebration and more about signaling a shift in how the business will operate going forward. The numbers already show a clear pattern 16 years for the first 100 MMT, and now every 100 MMT coming in ~2 years. That kind of acceleration usually happens when systems, not just assets, start scaling. What’s interesting is the emphasis on decentralisation and last-mile execution. When leadership starts talking about pushing decisions closer to the ground and reducing hierarchy, it typically means the organisation has reached a size where speed becomes the biggest constraint. The focus on workers and partners isn’t just emotional framing. In large infrastructure networks, reliability depends heavily on execution consistency and ecosystem strength, not just ownership of assets. This looks like a transition phase from expansion-led growth to efficiency- and system-led scaling. If executed well, that’s what sustains high growth at this level. If not, complexity can slow things down.

Rishi Bagree

196,091 просмотров • 4 месяцев назад

KMT’s Peace Strategy Could Lead Taiwan Down a Dangerous Path. The KMT Leader’s visit to Beijing is being framed as a step toward “peace.” But what if it’s actually giving China exactly what it needs right now? In this video, I break down the real strategy behind the meeting, why timing matters, and how Beijing may be using this moment to shape global perception, especially ahead of a potential meeting with Donald Trump. We’ll also talk about the reality most people ignore: peace is not created by words, it’s defined by power. When one side is armed and the other isn’t, there is no negotiation—only terms.
10:22

KMT’s Peace Strategy Could Lead Taiwan Down a Dangerous Path. The KMT Leader’s visit to Beijing is being framed as a step toward “peace.” But what if it’s actually giving China exactly what it needs right now? In this video, I break down the real strategy behind the meeting, why timing matters, and how Beijing may be using this moment to shape global perception, especially ahead of a potential meeting with Donald Trump. We’ll also talk about the reality most people ignore: peace is not created by words, it’s defined by power. When one side is armed and the other isn’t, there is no negotiation—only terms.

Ken Cao-The China Crash Chronicle

13,267 просмотров • 4 месяцев назад

THE MOST PROFITABLE IDEA I LEARNED IN 2025, AND WHY IT COULD MAKE 2026 YOUR RICHEST YEAR IN CRYPTO. 2025 punished everyone. But when I spent time analysing how the smartest people choose their picks, I noticed they all focus on ONE thing… and suddenly everything became clear. Most investors were choosing tokens. But the only thing that mattered, the thing that the smartest investors actually follow, is network effects. $BTC, $ETH, $SOL, $HYPE The reason these names survived while others died is that every new user adds value exponentially. Networks capture liquidity. Networks dominate sectors. And in 2026, networks will absorb almost ALL of the upside. Once I understood this, everything clicked: Why some coins stalled, why others kept growing, and why 2026 won’t be a “everything pumps” cycle… It will be a winner-take-most cycle. In my new video, I break down the full network-investing framework: • how to identify real network effects • how to pick the #1 and #2 in every sector • how to position for 2026 before liquidity returns • and how this thesis makes portfolio decisions 10x easier If you master this, 2026 stops being guesswork It becomes a strategy. [link in the comments]
1:04

THE MOST PROFITABLE IDEA I LEARNED IN 2025, AND WHY IT COULD MAKE 2026 YOUR RICHEST YEAR IN CRYPTO. 2025 punished everyone. But when I spent time analysing how the smartest people choose their picks, I noticed they all focus on ONE thing… and suddenly everything became clear. Most investors were choosing tokens. But the only thing that mattered, the thing that the smartest investors actually follow, is network effects. $BTC, $ETH, $SOL, $HYPE The reason these names survived while others died is that every new user adds value exponentially. Networks capture liquidity. Networks dominate sectors. And in 2026, networks will absorb almost ALL of the upside. Once I understood this, everything clicked: Why some coins stalled, why others kept growing, and why 2026 won’t be a “everything pumps” cycle… It will be a winner-take-most cycle. In my new video, I break down the full network-investing framework: • how to identify real network effects • how to pick the #1 and #2 in every sector • how to position for 2026 before liquidity returns • and how this thesis makes portfolio decisions 10x easier If you master this, 2026 stops being guesswork It becomes a strategy. [link in the comments]

Ran Neuner

60,833 просмотров • 7 месяцев назад

Elon Musk just announced cellular dead zones have two years left to exist, but only if both space and Earth execute flawlessly in parallel. Direct satellite-to-phone isn’t theoretical anymore. SpaceX is manufacturing it at scale. Your phone just can’t talk to it yet. Musk: “There are hardware changes that need to happen.” Streaming-quality bandwidth from orbit requires different chipsets. Current phones lack the radio hardware for frequencies SpaceX satellites broadcast on. Not fixable through updates. Physical redesign required. Two simultaneous engineering fronts. Both must succeed. In orbit, SpaceX is deploying a constellation capable of video-streaming bandwidth direct to pocket devices. On the ground, manufacturers are integrating entirely new chipsets into phones to receive those transmissions. Musk: “You should be able to watch videos anywhere on your phone.” Not emergency texts from mountains. That’s the minimum viable product rolling now. The actual goal is unrestricted bandwidth from any coordinates on the planet. Video streaming mid-Pacific. Data access from Antarctica. Video calls crossing the Sahara. Full connectivity completely independent of towers, cables, terrestrial infrastructure. Musk: “We’re building the satellites and working with the handset makers.” Satellites launch on schedule. Chipsets integrate into device generations over 24 months. When both complete, the handshake executes globally. Dead zones don’t reduce. They terminate as a concept. Not through better ground coverage. Through space-based infrastructure making physical location irrelevant to connection quality. Timeline is locked. Two years until compatible hardware ships mainstream. Constellation already deploying overhead to provide the other half. This stopped being research. It’s production engineering synchronized across orbital deployment and consumer electronics at planetary scale. When it completes, connectivity dependence shifts entirely from geography to hardware generation. “No signal” disappears as a location problem. It only exists if your device predates the cutover. Two years from now, new phones ship assuming orbital connectivity as baseline infrastructure. The phone in your pocket will be the last generation that loses service based on where you’re standing.
1:05

Elon Musk just announced cellular dead zones have two years left to exist, but only if both space and Earth execute flawlessly in parallel. Direct satellite-to-phone isn’t theoretical anymore. SpaceX is manufacturing it at scale. Your phone just can’t talk to it yet. Musk: “There are hardware changes that need to happen.” Streaming-quality bandwidth from orbit requires different chipsets. Current phones lack the radio hardware for frequencies SpaceX satellites broadcast on. Not fixable through updates. Physical redesign required. Two simultaneous engineering fronts. Both must succeed. In orbit, SpaceX is deploying a constellation capable of video-streaming bandwidth direct to pocket devices. On the ground, manufacturers are integrating entirely new chipsets into phones to receive those transmissions. Musk: “You should be able to watch videos anywhere on your phone.” Not emergency texts from mountains. That’s the minimum viable product rolling now. The actual goal is unrestricted bandwidth from any coordinates on the planet. Video streaming mid-Pacific. Data access from Antarctica. Video calls crossing the Sahara. Full connectivity completely independent of towers, cables, terrestrial infrastructure. Musk: “We’re building the satellites and working with the handset makers.” Satellites launch on schedule. Chipsets integrate into device generations over 24 months. When both complete, the handshake executes globally. Dead zones don’t reduce. They terminate as a concept. Not through better ground coverage. Through space-based infrastructure making physical location irrelevant to connection quality. Timeline is locked. Two years until compatible hardware ships mainstream. Constellation already deploying overhead to provide the other half. This stopped being research. It’s production engineering synchronized across orbital deployment and consumer electronics at planetary scale. When it completes, connectivity dependence shifts entirely from geography to hardware generation. “No signal” disappears as a location problem. It only exists if your device predates the cutover. Two years from now, new phones ship assuming orbital connectivity as baseline infrastructure. The phone in your pocket will be the last generation that loses service based on where you’re standing.

Dustin

261,909 просмотров • 6 месяцев назад

🚨 BREAKING: Big news in the computer vision world! 🎥 Luxonis | Robotic Vision just dropped its new OAK 4 line, and it’s a big upgrade for edge computer vision. Instead of being “just a stereo camera,” OAK 4 is a fully standalone vision computer with 52 TOPS of on-device AI. Models run locally, depth is computed locally, and no external PC or cloud pipeline is required. This is why robotics teams love it: lower latency, lower cost, fewer failure points in the field. The hardware is built for the real-world. IP67, shock-resistant, wide-FOV RGB + stereo pair, IR projection, IMU, audio, and a patent-pending calibration system that keeps depth accurate even when conditions change. But the real move is the platform. With Luxonis Hub, you can deploy models, grab telemetry, push OTA updates, or collect data when performance drifts, all from a unified interface. It turns a single device into an end-to-end edge CV system. Most customers today in robotics are groups who just want something that works: AMRs, bin-picking systems, trailer-loading robots, and ag-tech. 🤖 And they all say the same thing, the appeal isn’t raw TOPS, it’s the all-in-one simplicity that lets them scale without building custom infrastructure. Feels like the direction edge vision has been waiting for: rugged hardware + high-throughput on-device compute + a real management layer. A next step toward “plug-and-deploy” perception for robots. 🔗 Find out more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
1:12

🚨 BREAKING: Big news in the computer vision world! 🎥 Luxonis | Robotic Vision just dropped its new OAK 4 line, and it’s a big upgrade for edge computer vision. Instead of being “just a stereo camera,” OAK 4 is a fully standalone vision computer with 52 TOPS of on-device AI. Models run locally, depth is computed locally, and no external PC or cloud pipeline is required. This is why robotics teams love it: lower latency, lower cost, fewer failure points in the field. The hardware is built for the real-world. IP67, shock-resistant, wide-FOV RGB + stereo pair, IR projection, IMU, audio, and a patent-pending calibration system that keeps depth accurate even when conditions change. But the real move is the platform. With Luxonis Hub, you can deploy models, grab telemetry, push OTA updates, or collect data when performance drifts, all from a unified interface. It turns a single device into an end-to-end edge CV system. Most customers today in robotics are groups who just want something that works: AMRs, bin-picking systems, trailer-loading robots, and ag-tech. 🤖 And they all say the same thing, the appeal isn’t raw TOPS, it’s the all-in-one simplicity that lets them scale without building custom infrastructure. Feels like the direction edge vision has been waiting for: rugged hardware + high-throughput on-device compute + a real management layer. A next step toward “plug-and-deploy” perception for robots. 🔗 Find out more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

41,955 просмотров • 8 месяцев назад

SEND ME BACK TO CANBERRA TO FIGHT - VOTE 1 LIBERTARIANS At the height of Dan Andrews’ tyranny, when the rest of the Liberal Party was cowardly hiding in fear, appeasing & sucking up to him, I stood on the steps of the Victorian Parliament and call Dan Andrews out as "a bully, a thug, and an abuser of human rights" And with the latest FOI disclosures now proving that Dan Andrews lied when imposed curfews upon Victorians, falsely claiming they were based on "medical advice" - history now confirms I was 100% correct. So at this election, if you want a weak soft party apparatchik to represent you - vote for one of the other parties. But if you want some one that will stand up and fight when it’s needed - 🟡Vote 1 LIBERTARIAN With the likelihood of a Labor/Greens coalition running the country after the election, and given the weakness & complicity of the Liberals - Australia needs fighters in the next Parliament to take on Albanese.
2:14

SEND ME BACK TO CANBERRA TO FIGHT - VOTE 1 LIBERTARIANS At the height of Dan Andrews’ tyranny, when the rest of the Liberal Party was cowardly hiding in fear, appeasing & sucking up to him, I stood on the steps of the Victorian Parliament and call Dan Andrews out as "a bully, a thug, and an abuser of human rights" And with the latest FOI disclosures now proving that Dan Andrews lied when imposed curfews upon Victorians, falsely claiming they were based on "medical advice" - history now confirms I was 100% correct. So at this election, if you want a weak soft party apparatchik to represent you - vote for one of the other parties. But if you want some one that will stand up and fight when it’s needed - 🟡Vote 1 LIBERTARIAN With the likelihood of a Labor/Greens coalition running the country after the election, and given the weakness & complicity of the Liberals - Australia needs fighters in the next Parliament to take on Albanese.

Craig Kelly:🇦🇺Foundation for Economic Education

16,569 просмотров • 1 год назад

🚨 AMERICANS ARE DECLARING WAR ON FLOCK CAMERAS — AND PEOPLE ARE TEARING THEM DOWN Something is happening all over America. People aren't just complaining about surveillance cameras anymore. They're taking action. Reports are emerging of Flock cameras being cut down, damaged, disabled, and targeted in multiple cities. Why? Because what started as a tool to track stolen vehicles has turned into something many people believe is far bigger. The breaking point came when public records reportedly revealed that federal agencies had conducted thousands of searches through local camera networks. For many people, that confirmed their worst fears. But now the story is getting even darker. People are learning the next generation of surveillance won't stop at license plates. New systems are already being discussed that could potentially pull Bluetooth identifiers from phones, smart watches, earbuds, and other devices traveling inside vehicles. In other words, your car may not be the thing they're interested in tracking. You are. Meanwhile, cities across the country are beginning to reconsider their contracts as public backlash continues to grow. And as more cameras go up, more cameras seem to be coming down. How much surveillance are people supposed to tolerate before they start fighting back?
2:41

🚨 AMERICANS ARE DECLARING WAR ON FLOCK CAMERAS — AND PEOPLE ARE TEARING THEM DOWN Something is happening all over America. People aren't just complaining about surveillance cameras anymore. They're taking action. Reports are emerging of Flock cameras being cut down, damaged, disabled, and targeted in multiple cities. Why? Because what started as a tool to track stolen vehicles has turned into something many people believe is far bigger. The breaking point came when public records reportedly revealed that federal agencies had conducted thousands of searches through local camera networks. For many people, that confirmed their worst fears. But now the story is getting even darker. People are learning the next generation of surveillance won't stop at license plates. New systems are already being discussed that could potentially pull Bluetooth identifiers from phones, smart watches, earbuds, and other devices traveling inside vehicles. In other words, your car may not be the thing they're interested in tracking. You are. Meanwhile, cities across the country are beginning to reconsider their contracts as public backlash continues to grow. And as more cameras go up, more cameras seem to be coming down. How much surveillance are people supposed to tolerate before they start fighting back?

HustleBitch

100,399 просмотров • 1 месяц назад

Elon Musk just measured the exact speed at which humans become irrelevant. Not intelligence. Bandwidth. Every conversation you’ve ever had was a compression artifact. Every argument. Every love letter. Every eulogy. The full weight of human consciousness squeezed through vocal cords and thumbs tapping on glass. A few hundred bits per second. That is your ceiling. It hasn’t moved in 200,000 years. Musk: “Peak bandwidth of a human is a few hundred bits per second. Bandwidth of a computer can be a trillion bits a second.” A trillion to a few hundred. That is not a gap. That is a species boundary. The problem was never intelligence. It was always communication. You have never once in your life fully expressed a single thought. Every sentence you’ve ever spoken was a lossy file. A degraded copy of something richer that died between your neurons and your mouth. It never mattered. Because the whole species was running on the same biological dial-up. So we built language. Built writing. Built the internet. All of it just compression algorithms. Squeezing meaning through a biological straw. For ten thousand years, every institution and market and power structure on Earth was calibrated to the exact metabolic rate of human speech. Musk saw the wall before anyone else did. While the entire industry debates whether AI will take your job, he identified the real extinction event. Not competition. Disconnection. This is what Neuralink is actually for. Not phone control. Not cursors. Not even paralysis. Those are entry points. The real project is a bandwidth bridge between carbon and silicon. The only one that could keep humans in the loop before the gap becomes permanent. Because every network in history has done the same thing. Found its slowest node. And routed around it. We are about to become the slowest node on the most powerful network ever built. And one person decided to do something about it. The danger was never that AI would disagree with us. When reality’s operating system runs at a trillion bits per second and you are physically capped at three hundred, you don’t get conquered. You get bypassed. Language was the technology that separated us from animals. Bandwidth is the technology that will separate us from relevance. Neuralink isn’t a product. It’s the last bridge off the island before the tide comes in.
0:24

Elon Musk just measured the exact speed at which humans become irrelevant. Not intelligence. Bandwidth. Every conversation you’ve ever had was a compression artifact. Every argument. Every love letter. Every eulogy. The full weight of human consciousness squeezed through vocal cords and thumbs tapping on glass. A few hundred bits per second. That is your ceiling. It hasn’t moved in 200,000 years. Musk: “Peak bandwidth of a human is a few hundred bits per second. Bandwidth of a computer can be a trillion bits a second.” A trillion to a few hundred. That is not a gap. That is a species boundary. The problem was never intelligence. It was always communication. You have never once in your life fully expressed a single thought. Every sentence you’ve ever spoken was a lossy file. A degraded copy of something richer that died between your neurons and your mouth. It never mattered. Because the whole species was running on the same biological dial-up. So we built language. Built writing. Built the internet. All of it just compression algorithms. Squeezing meaning through a biological straw. For ten thousand years, every institution and market and power structure on Earth was calibrated to the exact metabolic rate of human speech. Musk saw the wall before anyone else did. While the entire industry debates whether AI will take your job, he identified the real extinction event. Not competition. Disconnection. This is what Neuralink is actually for. Not phone control. Not cursors. Not even paralysis. Those are entry points. The real project is a bandwidth bridge between carbon and silicon. The only one that could keep humans in the loop before the gap becomes permanent. Because every network in history has done the same thing. Found its slowest node. And routed around it. We are about to become the slowest node on the most powerful network ever built. And one person decided to do something about it. The danger was never that AI would disagree with us. When reality’s operating system runs at a trillion bits per second and you are physically capped at three hundred, you don’t get conquered. You get bypassed. Language was the technology that separated us from animals. Bandwidth is the technology that will separate us from relevance. Neuralink isn’t a product. It’s the last bridge off the island before the tide comes in.

Dustin

50,449 просмотров • 2 месяцев назад

🚨 THE WEST ISN’T “FAILING” ON MIGRATION — IT’S FUNDING IT Mass migration isn’t happening by accident. It’s being financed, facilitated, and quietly defended by our own governments. In the new documentary Replacing Europe: Following the World’s Deadliest Migration Route, cameras go where politicians and media refuse to look — speaking directly with migrants, locals, smugglers, and officials who admit what the public is never told. From Africa… To the Canary Islands… Through Spain and France… Ending in the UK. What emerges is not chaos — but a system. • Criminal smuggling networks operating openly • NGOs functioning as logistical middlemen • Officials turning a blind eye • Communities left to absorb the consequences In just one generation, Europe has changed more than in the previous two thousand years. Cities transformed. Social cohesion fractured. Public trust collapsing. This did not happen organically. And the most disturbing question isn’t how it happened — but why it was allowed to continue for so long. This is not about hatred. It’s about truth.
1:57

🚨 THE WEST ISN’T “FAILING” ON MIGRATION — IT’S FUNDING IT Mass migration isn’t happening by accident. It’s being financed, facilitated, and quietly defended by our own governments. In the new documentary Replacing Europe: Following the World’s Deadliest Migration Route, cameras go where politicians and media refuse to look — speaking directly with migrants, locals, smugglers, and officials who admit what the public is never told. From Africa… To the Canary Islands… Through Spain and France… Ending in the UK. What emerges is not chaos — but a system. • Criminal smuggling networks operating openly • NGOs functioning as logistical middlemen • Officials turning a blind eye • Communities left to absorb the consequences In just one generation, Europe has changed more than in the previous two thousand years. Cities transformed. Social cohesion fractured. Public trust collapsing. This did not happen organically. And the most disturbing question isn’t how it happened — but why it was allowed to continue for so long. This is not about hatred. It’s about truth.

Jim Ferguson

123,464 просмотров • 6 месяцев назад

Elon Musk breaks down exactly why the energy crisis is harder to solve than people think—and why the ultimate solution is off-planet. Everyone asks, "Why not just build private power plants for data centers?" Musk drills down to the real bottleneck: it’s not just money, it’s physics and supply chains. The backlog for gas turbines is massive, specifically due to the specialized casting process required for turbine vanes and blades. You can't just wish those into existence. So, where do we go? Solar. But not just on Earth. Musk reveals that both SpaceX and Tesla are moving toward 100GW of solar cell production, with a surprising twist: Solar in space is actually cheaper to manufacture than solar on the ground. Why? • No weather = No heavy glass or framing needed. • 24/7 Sunlight = No batteries required. Musk argues that once launch costs drop, space becomes 10x cheaper and the most scalable way to "generate tokens." We are watching the infrastructure for the next era of compute being built in real-time.
2:21

Elon Musk breaks down exactly why the energy crisis is harder to solve than people think—and why the ultimate solution is off-planet. Everyone asks, "Why not just build private power plants for data centers?" Musk drills down to the real bottleneck: it’s not just money, it’s physics and supply chains. The backlog for gas turbines is massive, specifically due to the specialized casting process required for turbine vanes and blades. You can't just wish those into existence. So, where do we go? Solar. But not just on Earth. Musk reveals that both SpaceX and Tesla are moving toward 100GW of solar cell production, with a surprising twist: Solar in space is actually cheaper to manufacture than solar on the ground. Why? • No weather = No heavy glass or framing needed. • 24/7 Sunlight = No batteries required. Musk argues that once launch costs drop, space becomes 10x cheaper and the most scalable way to "generate tokens." We are watching the infrastructure for the next era of compute being built in real-time.

Ian Miles Cheong

40,081 просмотров • 6 месяцев назад