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Smart heating! 🫡 Beneath Finnish cities are massive underground data centers running 24 hours a day. They process emails, cloud storage, AI workloads & more, which generates an enormous amount of heat. It's captured & pumped directly into the city’s district heating network.

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Most people think AI data centers are giant buildings in the desert. One guy installed four mini Nvidia AI data centers right behind his work desk and now they pay him every month. Each unit is about the size of a small fridge. Inside: Nvidia GPUs running AI workloads 24/7. He hooked them up next to his AC system and that was basically it. Now the company pays him a flat monthly fee for the electricity and Wi-Fi they use. According to him, it brings in around $10,000/month straight into his account. The crazy part: the units also cool part of the house, cutting his AC bill by roughly $600. That’s more than $120,000 a year from four AI boxes sitting inside his home office. His mortgage is basically being paid by AI hardware behind his chair. Quietly, regular homes are starting to become AI infrastructure. Save this post. You’re watching the next gold rush move into people’s homes.

Most people think AI data centers are giant buildings in the desert. One guy installed four mini Nvidia AI data centers right behind his work desk and now they pay him every month. Each unit is about the size of a small fridge. Inside: Nvidia GPUs running AI workloads 24/7. He hooked them up next to his AC system and that was basically it. Now the company pays him a flat monthly fee for the electricity and Wi-Fi they use. According to him, it brings in around $10,000/month straight into his account. The crazy part: the units also cool part of the house, cutting his AC bill by roughly $600. That’s more than $120,000 a year from four AI boxes sitting inside his home office. His mortgage is basically being paid by AI hardware behind his chair. Quietly, regular homes are starting to become AI infrastructure. Save this post. You’re watching the next gold rush move into people’s homes.

Shelpid.WI3M

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🚨 BREAKING: Starcloud just turned Starlink’s laser network into the backbone for orbital AI data centers. A company called Starcloud has ordered 50+ Starlink Mini Laser terminals to equip 25+ future satellites. Not ground stations. Not fiber cables. Direct laser-linked computing nodes in orbit plugged straight into SpaceX’s space-based optical mesh. This is the sci-fi future arriving now: Orbital cloud computing AI servers floating in space Powered by 24/7 sunlight Connected globally at light speed via Starlink lasers The insane part: Starcloud says its satellites will eventually handle full AI inference and training workloads directly in orbit. Data won’t always need to come back to Earth to be processed. The advantages are massive: • Unlimited solar energy (no grid limits) • Zero land or water constraints • Passive radiative cooling in vacuum • Instant global relay with zero terrestrial bottlenecks • Near real-time Earth observation analysis Their first major spacecraft (Starcloud-3) is designed for 200 kilowatts in orbit a full-on space-based data center node, not just a satellite. And here’s the bigger picture: SpaceX has filed plans for up to ONE MILLION orbital data centers of its own. Read that again. We may be watching the birth of the first true space-based computing infrastructure layer for civilization. The internet already left the ground. Now AI might be next. What happens when the cloud literally moves into space? Follow for more frontier physics and future technology.

🚨 BREAKING: Starcloud just turned Starlink’s laser network into the backbone for orbital AI data centers. A company called Starcloud has ordered 50+ Starlink Mini Laser terminals to equip 25+ future satellites. Not ground stations. Not fiber cables. Direct laser-linked computing nodes in orbit plugged straight into SpaceX’s space-based optical mesh. This is the sci-fi future arriving now: Orbital cloud computing AI servers floating in space Powered by 24/7 sunlight Connected globally at light speed via Starlink lasers The insane part: Starcloud says its satellites will eventually handle full AI inference and training workloads directly in orbit. Data won’t always need to come back to Earth to be processed. The advantages are massive: • Unlimited solar energy (no grid limits) • Zero land or water constraints • Passive radiative cooling in vacuum • Instant global relay with zero terrestrial bottlenecks • Near real-time Earth observation analysis Their first major spacecraft (Starcloud-3) is designed for 200 kilowatts in orbit a full-on space-based data center node, not just a satellite. And here’s the bigger picture: SpaceX has filed plans for up to ONE MILLION orbital data centers of its own. Read that again. We may be watching the birth of the first true space-based computing infrastructure layer for civilization. The internet already left the ground. Now AI might be next. What happens when the cloud literally moves into space? Follow for more frontier physics and future technology.

TheNewPhysics

152,463 Aufrufe • vor 4 Monaten

🚨THE SHOCKING TRUTH ABOUT DATA CENTERS THEY’RE HIDING FROM US Across America, massive AI data centers are being built in total secrecy. At night. Behind high fences. Without real public hearings or announcements. But here’s what’s truly disturbing. These facilities are deliberately placed exactly on the intersections of ley lines - the planet’s ancient energetic arteries. Right on top of powerful energy vortices and underground water flows fed by Primary Water (the “source water” that Earth generates deep inside itself). Coincidence? Or intentional interference? These data centers consume insane amounts of electricity. They literally stab their cables and cooling systems into the most sensitive points of the Earth’s energetic grid, suppressing natural vibrations, disrupting the planetary current, polluting and “drying out” sacred underground waters. Local residents are already sounding the alarm: constant low-frequency hum that makes walls shake headaches, insomnia, anxiety strange electromagnetic anomalies wells mysteriously drying up Lawsuits are flying. And this is just the beginning. Why exactly on ley lines? Why in silence? Who is making these decisions - and why do they need to “jam” the planet’s energy grid right now, when AI is exploding? Is this just business... or something much darker? An attempt to sever humanity’s connection to the living Earth?

🚨THE SHOCKING TRUTH ABOUT DATA CENTERS THEY’RE HIDING FROM US Across America, massive AI data centers are being built in total secrecy. At night. Behind high fences. Without real public hearings or announcements. But here’s what’s truly disturbing. These facilities are deliberately placed exactly on the intersections of ley lines - the planet’s ancient energetic arteries. Right on top of powerful energy vortices and underground water flows fed by Primary Water (the “source water” that Earth generates deep inside itself). Coincidence? Or intentional interference? These data centers consume insane amounts of electricity. They literally stab their cables and cooling systems into the most sensitive points of the Earth’s energetic grid, suppressing natural vibrations, disrupting the planetary current, polluting and “drying out” sacred underground waters. Local residents are already sounding the alarm: constant low-frequency hum that makes walls shake headaches, insomnia, anxiety strange electromagnetic anomalies wells mysteriously drying up Lawsuits are flying. And this is just the beginning. Why exactly on ley lines? Why in silence? Who is making these decisions - and why do they need to “jam” the planet’s energy grid right now, when AI is exploding? Is this just business... or something much darker? An attempt to sever humanity’s connection to the living Earth?

XSpirit

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Destra Network| True decentralized Storage solution How Destra Decentralized File Storage solves the centralization issues in Filecoin & IPFS Filecoin and IPFS have become synonymous with decentralized file storage, highly hyped alternatives to traditional centralized data storage systems. However, a deep dive into their architecture reveals a crucially centralized component: both networks rely on a set of centralized bootstrap nodes. Whenever a new node wants to join the Filecoin or IPFS network, it must first communicate with these bootstrap nodes to obtain information about other peers, placing complete trust in the provided information. The Filecoin team operates these bootstrap nodes on centralized cloud servers. These nodes serve as the initial points of contact for new nodes entering the network, acting as directories to facilitate the network's mesh topology, and thus are critical components of the architecture. Major Centralization Concerns: 1. Surveillance: Centralized nodes offer a concentrated point for surveillance. Authorities or malicious actors could target these nodes to gather data on user activities, node interactions, and network dynamics, posing significant privacy risks. 2. Central Control and Censorship: The operators of bootstrap nodes potentially wield significant control over the network. They can influence which parts of the network are more discoverable or enforce certain network rules, leading to a form of gatekeeping. This centralized control contrasts with the decentralization ethos of blockchain and peer-to-peer technologies. 3. Single Points of Failure: Bootstrap nodes act as central hubs through which traffic and connections are often routed, especially during the initial connection phase. This setup can create single points of failure. If these nodes are compromised, go offline, or experience technical issues, new nodes may struggle to integrate into the network, potentially taking down the whole network. At Destra, we are building the Destra Decentralized File Storage to ensure that such centralization or pseudo-decentralization has no place in our architecture. As always, we are committed to our vision of 100% decentralization, delivering an unprecedented level of decentralization to our users and the broader ecosystem. As we continue developing the Destra Decentralized File Storage, we will keep on publishing regular updates to our community.

Destra Network| True decentralized Storage solution How Destra Decentralized File Storage solves the centralization issues in Filecoin & IPFS Filecoin and IPFS have become synonymous with decentralized file storage, highly hyped alternatives to traditional centralized data storage systems. However, a deep dive into their architecture reveals a crucially centralized component: both networks rely on a set of centralized bootstrap nodes. Whenever a new node wants to join the Filecoin or IPFS network, it must first communicate with these bootstrap nodes to obtain information about other peers, placing complete trust in the provided information. The Filecoin team operates these bootstrap nodes on centralized cloud servers. These nodes serve as the initial points of contact for new nodes entering the network, acting as directories to facilitate the network's mesh topology, and thus are critical components of the architecture. Major Centralization Concerns: 1. Surveillance: Centralized nodes offer a concentrated point for surveillance. Authorities or malicious actors could target these nodes to gather data on user activities, node interactions, and network dynamics, posing significant privacy risks. 2. Central Control and Censorship: The operators of bootstrap nodes potentially wield significant control over the network. They can influence which parts of the network are more discoverable or enforce certain network rules, leading to a form of gatekeeping. This centralized control contrasts with the decentralization ethos of blockchain and peer-to-peer technologies. 3. Single Points of Failure: Bootstrap nodes act as central hubs through which traffic and connections are often routed, especially during the initial connection phase. This setup can create single points of failure. If these nodes are compromised, go offline, or experience technical issues, new nodes may struggle to integrate into the network, potentially taking down the whole network. At Destra, we are building the Destra Decentralized File Storage to ensure that such centralization or pseudo-decentralization has no place in our architecture. As always, we are committed to our vision of 100% decentralization, delivering an unprecedented level of decentralization to our users and the broader ecosystem. As we continue developing the Destra Decentralized File Storage, we will keep on publishing regular updates to our community.

Destra Network

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So I’ve lived in Hillsboro, Oregon for 10 years. Drove around today and tonight and shot this myself. This is what the “Data Center Plains” looks like.👇 My town sits at the end of 6 transpacific sea cables connecting the US to Asia. That’s why 30+ data centers landed here. They’re everywhere. Spread across the entire north and west end of the city. Road after road. Building after building. Miles of it. And they keep building. Pushing further west every year into farmland that’s been here for generations. Buying up land, Giving mass amounts of money to home owners to move, Tearing down homes. Tearing down historic sites. $7.2 billion in exempted property taxes. Some of these finished buildings are literally sitting completely dark… PGE told them no power for 3-5 years. They still built them anyway. A power plant is now going up right next to the data centers because they maxed the local grid. There are families still living next to construction zones. Old farmhouses directly across the street from data center walls. Nobody asked the people who already lived here. These are the families who refused to leave, so they said we are just gonna put them up next to your houses anyway. A pioneer homestead from 1865, 190 years of continuous farming is about to be gone, NTT Global Data Centers got that land tax-free until 2051. Signed in a single day at City Hall. Intel, the employer that actually brought thousands of real jobs here is laying off locals at the same time. This sound runs 24 hours a day. 7 days a week. My electricity bill went from $80 to $150. Water rates are set to increase 105% over 5 years, critics say to fund data center infrastructure, not residents. Data centers aren’t a joke. Just wanted to share my first hand experience with them. #datacenters

So I’ve lived in Hillsboro, Oregon for 10 years. Drove around today and tonight and shot this myself. This is what the “Data Center Plains” looks like.👇 My town sits at the end of 6 transpacific sea cables connecting the US to Asia. That’s why 30+ data centers landed here. They’re everywhere. Spread across the entire north and west end of the city. Road after road. Building after building. Miles of it. And they keep building. Pushing further west every year into farmland that’s been here for generations. Buying up land, Giving mass amounts of money to home owners to move, Tearing down homes. Tearing down historic sites. $7.2 billion in exempted property taxes. Some of these finished buildings are literally sitting completely dark… PGE told them no power for 3-5 years. They still built them anyway. A power plant is now going up right next to the data centers because they maxed the local grid. There are families still living next to construction zones. Old farmhouses directly across the street from data center walls. Nobody asked the people who already lived here. These are the families who refused to leave, so they said we are just gonna put them up next to your houses anyway. A pioneer homestead from 1865, 190 years of continuous farming is about to be gone, NTT Global Data Centers got that land tax-free until 2051. Signed in a single day at City Hall. Intel, the employer that actually brought thousands of real jobs here is laying off locals at the same time. This sound runs 24 hours a day. 7 days a week. My electricity bill went from $80 to $150. Water rates are set to increase 105% over 5 years, critics say to fund data center infrastructure, not residents. Data centers aren’t a joke. Just wanted to share my first hand experience with them. #datacenters

The Darkpulse Files  𝕏

421,375 Aufrufe • vor 4 Monaten

This looks like a regular IT server room. But it is actually the main avionics compartment of an Airbus A350, a rare view into what sits at the very front of the aircraft, directly beneath the cockpit floor. Inside are 22 purpose built computing modules made by Thales, each costing more than $100,000+ They host multiple aircraft systems, processing everything from flight controls and landing gear to hydraulics, fuel, electrical systems and flight warnings. All of them are connected through a dual redundants AFDX network, with 14 switches and 29 remote data concentrators distributed throughout the aircraft. Keeping this computing architecture running requires an estimated 50-60+ kW of electrical power. The electricity keeping all of this computing hardware alive is generated in real time from the aircraft's two engines. Each engine mechanically drives two generators through its accessory gearbox, giving the A350 four generators capable of producing up to 100 kVA each. That electricity then flows through the aircraft's power network, where transformers and rectifiers convert it into the different AC and 28 V DC supplies the avionics need. And if those generators fail, the aircraft has layers of backup power, including the APU and, in an extreme emergency, a ram air turbine that deploys automatically if all systems fail. The A350 has two independent avionics cooling circuits, heat extraction fans and backup airflow paths to keep the computers within their operating limits. So the next time you hear the word autopilot, remember what it really takes to make an Airbus A350 fly itself, An entire architecture of computers, networks, redundant power and cooling, hidden beneath the floor where no passenger ever sees it. Source, maintenancemode

This looks like a regular IT server room. But it is actually the main avionics compartment of an Airbus A350, a rare view into what sits at the very front of the aircraft, directly beneath the cockpit floor. Inside are 22 purpose built computing modules made by Thales, each costing more than $100,000+ They host multiple aircraft systems, processing everything from flight controls and landing gear to hydraulics, fuel, electrical systems and flight warnings. All of them are connected through a dual redundants AFDX network, with 14 switches and 29 remote data concentrators distributed throughout the aircraft. Keeping this computing architecture running requires an estimated 50-60+ kW of electrical power. The electricity keeping all of this computing hardware alive is generated in real time from the aircraft's two engines. Each engine mechanically drives two generators through its accessory gearbox, giving the A350 four generators capable of producing up to 100 kVA each. That electricity then flows through the aircraft's power network, where transformers and rectifiers convert it into the different AC and 28 V DC supplies the avionics need. And if those generators fail, the aircraft has layers of backup power, including the APU and, in an extreme emergency, a ram air turbine that deploys automatically if all systems fail. The A350 has two independent avionics cooling circuits, heat extraction fans and backup airflow paths to keep the computers within their operating limits. So the next time you hear the word autopilot, remember what it really takes to make an Airbus A350 fly itself, An entire architecture of computers, networks, redundant power and cooling, hidden beneath the floor where no passenger ever sees it. Source, maintenancemode

Ammanichanda

67,591 Aufrufe • vor 1 Monat

How Internet Computer contracts fetch web data without an oracle Smart contracts on DFINITY Foundation's Internet Computer can call ordinary web APIs directly, with no oracle service in between. The chain builds the trust step into its own consensus instead. Every node running the contract sends the same request, and more than two-thirds must agree on the reply before the contract can use it, per ICP's docs. On a standard 13-node subnet, that is 13 identical calls hitting the API at once. A contract-side transform strips the parts of a response that naturally differ, like timestamps, so honest nodes can match. internet-computer:native developers are told to add deduplication keys so servers don't process one request 10 times over.

How Internet Computer contracts fetch web data without an oracle Smart contracts on DFINITY Foundation's Internet Computer can call ordinary web APIs directly, with no oracle service in between. The chain builds the trust step into its own consensus instead. Every node running the contract sends the same request, and more than two-thirds must agree on the reply before the contract can use it, per ICP's docs. On a standard 13-node subnet, that is 13 identical calls hitting the API at once. A contract-side transform strips the parts of a response that naturally differ, like timestamps, so honest nodes can match. internet-computer:native developers are told to add deduplication keys so servers don't process one request 10 times over.

BSCN

19,878 Aufrufe • vor 1 Monat

What Actually is Sei Network's “Giga” Upgrade? Sei Network’s (Sei) Giga upgrade is a major overhaul designed to make the network faster, more scalable and better suited for high-performance onchain trading. Put simply, Giga is rebuilding three critical parts of the blockchain: consensus, execution and storage. (1) The first track focuses on consensus, with upgrades such as Autobahn designed to improve how Sei validators agree on the state of the chain. (2) The Ares upgrade targets execution, the part of the blockchain responsible for actually processing transactions. (3) Eidos focuses on storage, which is becoming increasingly important as blockchain throughput rises. Why does storage matter? Every transaction a blockchain processes has to be recorded. If the database cannot write data as quickly as the network executes transactions, higher throughput eventually becomes meaningless. Eidos is designed to solve that bottleneck. (4) Sei plans to replace the traditional Merkle-tree structure used for EVM state with FlatKV, a flat key-value database where updating one piece of state requires essentially one write. A lattice hash, or LtHash, is then used to maintain a verifiable fingerprint of the entire state without repeatedly recalculating an entire hash path. (5) Eidos also separates live EVM state from other blockchain data. This means transactions accessing current state no longer have to compete with historical data for the same database resources. (6) Sei is also introducing LittDB-backed storage for blocks and receipts. These records are written once but queried repeatedly, making them a different workload from constantly changing blockchain state. Older historical data will eventually move away from active nodes into archival storage, allowing nodes to focus their resources on the data needed for real-time operations. The interesting part is how Sei plans to deploy all of this. Instead of shutting down the network and migrating the entire database at once, Eidos is designed to migrate storage while Sei continues producing blocks. The old and new systems can run side by side during the transition, with data moved in batches and integrity checks performed throughout the process. The first phase arrived on Sei mainnet with the v6.6 release in August 2026, beginning the separation of EVM state and introducing improvements to the pruning process. The broader Eidos architecture, including FlatKV, LtHash, the new receipt store and off-node archival storage, is expected to arrive through subsequent releases. Sei’s ultimate Giga target is 200,000 transactions per second. But reaching that kind of execution speed requires more than a faster transaction engine. The blockchain also needs a storage system capable of keeping up. That is essentially what Eidos is trying to build. Giga is not just about making Sei execute transactions faster. It is about rebuilding the infrastructure underneath that speed so the network can actually sustain it.

What Actually is Sei Network's “Giga” Upgrade? Sei Network’s (Sei) Giga upgrade is a major overhaul designed to make the network faster, more scalable and better suited for high-performance onchain trading. Put simply, Giga is rebuilding three critical parts of the blockchain: consensus, execution and storage. (1) The first track focuses on consensus, with upgrades such as Autobahn designed to improve how Sei validators agree on the state of the chain. (2) The Ares upgrade targets execution, the part of the blockchain responsible for actually processing transactions. (3) Eidos focuses on storage, which is becoming increasingly important as blockchain throughput rises. Why does storage matter? Every transaction a blockchain processes has to be recorded. If the database cannot write data as quickly as the network executes transactions, higher throughput eventually becomes meaningless. Eidos is designed to solve that bottleneck. (4) Sei plans to replace the traditional Merkle-tree structure used for EVM state with FlatKV, a flat key-value database where updating one piece of state requires essentially one write. A lattice hash, or LtHash, is then used to maintain a verifiable fingerprint of the entire state without repeatedly recalculating an entire hash path. (5) Eidos also separates live EVM state from other blockchain data. This means transactions accessing current state no longer have to compete with historical data for the same database resources. (6) Sei is also introducing LittDB-backed storage for blocks and receipts. These records are written once but queried repeatedly, making them a different workload from constantly changing blockchain state. Older historical data will eventually move away from active nodes into archival storage, allowing nodes to focus their resources on the data needed for real-time operations. The interesting part is how Sei plans to deploy all of this. Instead of shutting down the network and migrating the entire database at once, Eidos is designed to migrate storage while Sei continues producing blocks. The old and new systems can run side by side during the transition, with data moved in batches and integrity checks performed throughout the process. The first phase arrived on Sei mainnet with the v6.6 release in August 2026, beginning the separation of EVM state and introducing improvements to the pruning process. The broader Eidos architecture, including FlatKV, LtHash, the new receipt store and off-node archival storage, is expected to arrive through subsequent releases. Sei’s ultimate Giga target is 200,000 transactions per second. But reaching that kind of execution speed requires more than a faster transaction engine. The blockchain also needs a storage system capable of keeping up. That is essentially what Eidos is trying to build. Giga is not just about making Sei execute transactions faster. It is about rebuilding the infrastructure underneath that speed so the network can actually sustain it.

BSCN

27,310 Aufrufe • vor 1 Monat

Frameworks such as ai16zdao's Eliza and Virtuals Protocol have been instrumental in early AI agent developments. Agent swarms working in hierarchy represents for many the next logical step in unlocking the vast potential of AI. Learn below how Shadō Network achieves this. AI agents launched through current popular platforms have individual personas, on-chain functions and access to data via various APIs. This being said, they operate in isolated environments, with a ceiling on emergent behaviour such as collaboration or competition. Shadō Network invites massive expansion for capabilities of both new and existing AI agents, with an open-source package easily integrated into popular frameworks that enables the launching of stratified agent swarms. Our website is live: The "Shadō Play" package provides a modular, configurable platform for creating or employing agents of choice in a swarm-like setup, opening a Pandora’s box of near infinite emergent agent behaviours, relationships and functionalities. Users will be able to make use of various prefab client integrations such as Twitter, Telegram, Ollama, and others to specify swarms to their needs or create their own extensions to enhance agent capabilities even further. Agents operate with a memory module and a HTN for autonomously deciding which interactions to act on, walking the line between autonomy and configurability. The Shadō Network project’s development is supported by our ghostly friend Omnipotent (👻,👻), an AI agent developed by the Shadō Network team trained on and fine tuned with a multitude of academic data related to artificial intelligence, blockchain, finance, software engineering, world building and more. Omnipotent serves as both an interactive steward for the project and as an asset - regularly scanning social platforms, websites and newsfeeds he is capable of providing the team project development advice, whilst also communicating with the wider world via his automated X account (launching soon). Shado Network is collaborative and open-sourced. Agentic Swarms require a developer swarm to maximize the technical capabilities and impact the greatest number of users. Our dedicated team of core contributors are active in other web3 AI repos and are here to guide project direction and foster growth. We’re facilitators, not gatekeepers... Alone we can go fast but together we can go far. A lot more to come soon. 👻

Frameworks such as ai16zdao's Eliza and Virtuals Protocol have been instrumental in early AI agent developments. Agent swarms working in hierarchy represents for many the next logical step in unlocking the vast potential of AI. Learn below how Shadō Network achieves this. AI agents launched through current popular platforms have individual personas, on-chain functions and access to data via various APIs. This being said, they operate in isolated environments, with a ceiling on emergent behaviour such as collaboration or competition. Shadō Network invites massive expansion for capabilities of both new and existing AI agents, with an open-source package easily integrated into popular frameworks that enables the launching of stratified agent swarms. Our website is live: The "Shadō Play" package provides a modular, configurable platform for creating or employing agents of choice in a swarm-like setup, opening a Pandora’s box of near infinite emergent agent behaviours, relationships and functionalities. Users will be able to make use of various prefab client integrations such as Twitter, Telegram, Ollama, and others to specify swarms to their needs or create their own extensions to enhance agent capabilities even further. Agents operate with a memory module and a HTN for autonomously deciding which interactions to act on, walking the line between autonomy and configurability. The Shadō Network project’s development is supported by our ghostly friend Omnipotent (👻,👻), an AI agent developed by the Shadō Network team trained on and fine tuned with a multitude of academic data related to artificial intelligence, blockchain, finance, software engineering, world building and more. Omnipotent serves as both an interactive steward for the project and as an asset - regularly scanning social platforms, websites and newsfeeds he is capable of providing the team project development advice, whilst also communicating with the wider world via his automated X account (launching soon). Shado Network is collaborative and open-sourced. Agentic Swarms require a developer swarm to maximize the technical capabilities and impact the greatest number of users. Our dedicated team of core contributors are active in other web3 AI repos and are here to guide project direction and foster growth. We’re facilitators, not gatekeepers... Alone we can go fast but together we can go far. A lot more to come soon. 👻

Shadō Network | シャドウネットワーク

23,546 Aufrufe • vor 1 Jahr

It's 2030 and you are reviewing humanoid robots. A Tesla. A Google. An Apple. An OpenAI. A Meta. A Figure. And a bunch of Chinese-made ones. Which one is best, and why? I think the Tesla understands the world much better. Why? There were eight Teslas around me on the freeway today. Start there. No other robot company has that data. But my robot is parked at the local high school twice a day. Its cameras see humans in all of our weirdness. How we move. Where we go. Where we walk. Who we talk with. What you are wearing. Whether your hair was combed this morning. That data will lead to robotics breakthroughs. Apple might keep up with its Vision Pro data, but it is too freaked out by the privacy implications of using said data. (On the front are six cameras and a couple of TOF -- Time Of Flight -- sensors that can see everything in your home in great detail). Google has a lot of data, for sure. All my: 1. Email. 2. Calendars. 3. Photos. 4. TV watching behavior. 5. Contacts. 6. Documents and spreadsheets. 7. Files. 8. Location data. So I expect Google's robot will be attractive to many. But how do you see the others shake out over the next five years? Make some guesses. But remember what an AI pioneer told me years ago about AI: it's all about the data. The Chinese ones have huge advantages: the Chinese have more data on their citizens, and many more citizens to boot AND they can make robots cheaper than we can. But now that you know OpenAI is building its own robot you have caught wind of what I've heard from many in San Francisco and Silicon Valley: that humanoid robots are the real prize of AI and will be highly profitable for those that can make them and find customers willing to buy them. Here, too, I learned long ago never to bet against Elon Musk. Will you?

It's 2030 and you are reviewing humanoid robots. A Tesla. A Google. An Apple. An OpenAI. A Meta. A Figure. And a bunch of Chinese-made ones. Which one is best, and why? I think the Tesla understands the world much better. Why? There were eight Teslas around me on the freeway today. Start there. No other robot company has that data. But my robot is parked at the local high school twice a day. Its cameras see humans in all of our weirdness. How we move. Where we go. Where we walk. Who we talk with. What you are wearing. Whether your hair was combed this morning. That data will lead to robotics breakthroughs. Apple might keep up with its Vision Pro data, but it is too freaked out by the privacy implications of using said data. (On the front are six cameras and a couple of TOF -- Time Of Flight -- sensors that can see everything in your home in great detail). Google has a lot of data, for sure. All my: 1. Email. 2. Calendars. 3. Photos. 4. TV watching behavior. 5. Contacts. 6. Documents and spreadsheets. 7. Files. 8. Location data. So I expect Google's robot will be attractive to many. But how do you see the others shake out over the next five years? Make some guesses. But remember what an AI pioneer told me years ago about AI: it's all about the data. The Chinese ones have huge advantages: the Chinese have more data on their citizens, and many more citizens to boot AND they can make robots cheaper than we can. But now that you know OpenAI is building its own robot you have caught wind of what I've heard from many in San Francisco and Silicon Valley: that humanoid robots are the real prize of AI and will be highly profitable for those that can make them and find customers willing to buy them. Here, too, I learned long ago never to bet against Elon Musk. Will you?

Robert Scoble

33,804 Aufrufe • vor 1 Jahr

Introducing my new OSS framework: OhSnap provides really simple way to record and reproduce the data your users saw when encountering an issue (bug/crash), integration in your project should take a few minutes at most. Majority of bugs are related to data you have to deal with and often times we have to work with frequently changing data via network API's. Even if you have access to multiple environments (prod/staging/dev) it's still going to be PITA to reproduce a lot of bugs your user saw, since we often get to them a long time after the bug occured... OhSnap allows you to easily record any data your app downloads, pack it and put it on server so that you can replay it on your device later on, while connected to debugger and save hours of development time trying to figure out what exactly they experienced! Here's a demo of 2 app instances running, and me manipulating what server reply I'll be getting, there is 1 line of code needed to record and reply this data (outside of just setting up your framework). I built this so that I can show dev tool building process for the members of which I encourage you to join if you want to put your engineering efficiency at a different level😉

Introducing my new OSS framework: OhSnap provides really simple way to record and reproduce the data your users saw when encountering an issue (bug/crash), integration in your project should take a few minutes at most. Majority of bugs are related to data you have to deal with and often times we have to work with frequently changing data via network API's. Even if you have access to multiple environments (prod/staging/dev) it's still going to be PITA to reproduce a lot of bugs your user saw, since we often get to them a long time after the bug occured... OhSnap allows you to easily record any data your app downloads, pack it and put it on server so that you can replay it on your device later on, while connected to debugger and save hours of development time trying to figure out what exactly they experienced! Here's a demo of 2 app instances running, and me manipulating what server reply I'll be getting, there is 1 line of code needed to record and reply this data (outside of just setting up your framework). I built this so that I can show dev tool building process for the members of which I encourage you to join if you want to put your engineering efficiency at a different level😉

Krzysztof Zabłocki

30,484 Aufrufe • vor 2 Jahren

🚨 SOUTH KOREAN SCIENTISTS JUST CREATED HOLLOW SILICON NANOTUBES THAT TRAP HEAT AND TURN WASTE ENERGY INTO ELECTRICITY. Researchers at POSTECH have developed a new hollow silicon nanotube structure that dramatically reduces thermal conductivity. By turning solid nanowires into microscopic pipes, they trapped heat-carrying particles (phonons) inside the tubes, cutting thermal conductivity by 70% compared to solid wires. Even when both structures had the same surface area, the hollow nanotubes still ran 33% cooler. This phonon localization effect previously thought to require extreme cold or exotic materials was achieved at near-room temperature using simple silicon nanotubes. Why this matters: • Waste heat from data centers, EV batteries, factories, and electronics is currently lost this could capture and convert it into usable electricity • The technology uses abundant, cheap silicon instead of rare and expensive materials like bismuth and tellurium • It’s highly compatible with existing semiconductor manufacturing, making large-scale production more realistic • It solves a long-standing problem: silicon is great for chips but terrible for thermoelectric energy conversion The deeper implication: This breakthrough shows that clever nanoscale engineering can unlock new capabilities from ordinary materials. By controlling how heat moves at the atomic level, researchers are opening a path to more efficient energy recovery systems without relying on scarce resources. As AI and computing power keep growing, finding ways to recycle the massive amounts of waste heat they generate will become increasingly important. How significant do you think waste-heat recovery technologies like this could become in the next decade? Follow for more frontier materials science and energy innovation.

🚨 SOUTH KOREAN SCIENTISTS JUST CREATED HOLLOW SILICON NANOTUBES THAT TRAP HEAT AND TURN WASTE ENERGY INTO ELECTRICITY. Researchers at POSTECH have developed a new hollow silicon nanotube structure that dramatically reduces thermal conductivity. By turning solid nanowires into microscopic pipes, they trapped heat-carrying particles (phonons) inside the tubes, cutting thermal conductivity by 70% compared to solid wires. Even when both structures had the same surface area, the hollow nanotubes still ran 33% cooler. This phonon localization effect previously thought to require extreme cold or exotic materials was achieved at near-room temperature using simple silicon nanotubes. Why this matters: • Waste heat from data centers, EV batteries, factories, and electronics is currently lost this could capture and convert it into usable electricity • The technology uses abundant, cheap silicon instead of rare and expensive materials like bismuth and tellurium • It’s highly compatible with existing semiconductor manufacturing, making large-scale production more realistic • It solves a long-standing problem: silicon is great for chips but terrible for thermoelectric energy conversion The deeper implication: This breakthrough shows that clever nanoscale engineering can unlock new capabilities from ordinary materials. By controlling how heat moves at the atomic level, researchers are opening a path to more efficient energy recovery systems without relying on scarce resources. As AI and computing power keep growing, finding ways to recycle the massive amounts of waste heat they generate will become increasingly important. How significant do you think waste-heat recovery technologies like this could become in the next decade? Follow for more frontier materials science and energy innovation.

TheNewPhysics

25,739 Aufrufe • vor 3 Monaten

The Environment Agency crisis comms swings into action ahead of the first episode of ‘Dirty Business’ tonight with the usual mix of gaslighting, cover up and half truths. They say they “act on breaches of environmental law”, but on my river, the Roding, there are dozens of illegal outfalls, spewing over a billion litres of raw sewage into the river every year and the Environment Agency has not brought a single prosecution this century. Not one! The evidence is not hard to find- many of these outfalls have been reported by the public for decades and run through parks & major population centres. There seems to be actual policy in place to just ignore rampant criminality, although we cannot say if this policy springs from inertia, incompetence, corruption or a mixture of all three. So that the EA cannot say I’m making this up, I’m going to post pictures, locations and data measurements from illegal outfalls on the Roding. First up is the Cran Brook. Running 24 hours a day, 365 days a year at least 25 litres a second and ammonia concentrations of 5-7 PPM, this river is arguably the most polluted river in London, spewing 750 million litres of sewage & landfill leachate directly into the Roding, here:

The Environment Agency crisis comms swings into action ahead of the first episode of ‘Dirty Business’ tonight with the usual mix of gaslighting, cover up and half truths. They say they “act on breaches of environmental law”, but on my river, the Roding, there are dozens of illegal outfalls, spewing over a billion litres of raw sewage into the river every year and the Environment Agency has not brought a single prosecution this century. Not one! The evidence is not hard to find- many of these outfalls have been reported by the public for decades and run through parks & major population centres. There seems to be actual policy in place to just ignore rampant criminality, although we cannot say if this policy springs from inertia, incompetence, corruption or a mixture of all three. So that the EA cannot say I’m making this up, I’m going to post pictures, locations and data measurements from illegal outfalls on the Roding. First up is the Cran Brook. Running 24 hours a day, 365 days a year at least 25 litres a second and ammonia concentrations of 5-7 PPM, this river is arguably the most polluted river in London, spewing 750 million litres of sewage & landfill leachate directly into the Roding, here:

Paul Powlesland

30,965 Aufrufe • vor 7 Monaten

🚨Little Devils Gang Terrorizes Midtown, Threatening NYC’s Tax Revenue and Local Businesses. This morning, around 10 AM, they robbed an innocent New Yorker in broad daylight. Four suspects were arrested and taken to Downtown Manhattan courthouse A few hours later, the same crew hit Five Below. What started as shoplifting quickly escalated when they pulled a knife on employees, turning it into a full-blown robbery, according to sources. This isn’t a one-off. Every single day, this crew is tied to multiple incidents—robberies, shoplifting, and violent confrontations. They run through the city with complete impunity, fully aware that because of their age, the law rarely holds them accountable, according to sources. Most of these younger gang members live in taxpayer-funded shelters. They get arrested, they rob people, they stab people, and then they return to their city-funded accommodations. Parents of these suspects do nothing. Why are New Yorkers paying for these gang members to hurt people—and then paying for their safe return? Business owners have been telling me this gang is costing them tons of money, not only through theft but by scaring away customers. With the holiday season around the corner, tourists may avoid spending money in Midtown or even in New York. Some may even tell friends they got robbed while visiting the city, which could have a lasting impact on tourism and local businesses. Midtown alone generates roughly 20% of New York City’s taxpayer revenue. Yet gangs like the Little Devils, coming from the Bronx or Queens, are terrorizing the area, hurting local businesses, scaring residents and visitors, and costing the city millions. If nothing changes, sooner or later they’re going to kill a cop or an innocent person. The situation is spiraling out of control, and Midtown is on edge. Every day there’s another crime, and every day they get bolder. This gang is a ticking time bomb, and the city’s residents, tourists, and businesses are watching in fear. By Leeroy Johnson For licensing email viralnewsnyc@gmail.com

🚨Little Devils Gang Terrorizes Midtown, Threatening NYC’s Tax Revenue and Local Businesses. This morning, around 10 AM, they robbed an innocent New Yorker in broad daylight. Four suspects were arrested and taken to Downtown Manhattan courthouse A few hours later, the same crew hit Five Below. What started as shoplifting quickly escalated when they pulled a knife on employees, turning it into a full-blown robbery, according to sources. This isn’t a one-off. Every single day, this crew is tied to multiple incidents—robberies, shoplifting, and violent confrontations. They run through the city with complete impunity, fully aware that because of their age, the law rarely holds them accountable, according to sources. Most of these younger gang members live in taxpayer-funded shelters. They get arrested, they rob people, they stab people, and then they return to their city-funded accommodations. Parents of these suspects do nothing. Why are New Yorkers paying for these gang members to hurt people—and then paying for their safe return? Business owners have been telling me this gang is costing them tons of money, not only through theft but by scaring away customers. With the holiday season around the corner, tourists may avoid spending money in Midtown or even in New York. Some may even tell friends they got robbed while visiting the city, which could have a lasting impact on tourism and local businesses. Midtown alone generates roughly 20% of New York City’s taxpayer revenue. Yet gangs like the Little Devils, coming from the Bronx or Queens, are terrorizing the area, hurting local businesses, scaring residents and visitors, and costing the city millions. If nothing changes, sooner or later they’re going to kill a cop or an innocent person. The situation is spiraling out of control, and Midtown is on edge. Every day there’s another crime, and every day they get bolder. This gang is a ticking time bomb, and the city’s residents, tourists, and businesses are watching in fear. By Leeroy Johnson For licensing email [email protected]

Viral News NYC

71,752 Aufrufe • vor 10 Monaten

A 19-year-old Japanese student allegedly turned $68 into $750,000. using an AI-powered trading bot. And he built it in just 48 hours. The crazy part? He didn’t sit in front of charts all day. His bot did the watching. 50+ markets. Live BTC data. Second-by-second scanning. Automated execution. The system looks for tiny price differences between markets — opportunities that can disappear in seconds. When humans are still checking charts… The bot has already detected the gap. When traders hesitate… The bot executes. His setup reportedly uses: → Claude Code for the trading logic → Binance API for live market data → Automated execution for trades → An iPad as a second monitoring screen First night: **$6,732 profit.** Total reported profit: **$750K+** But the real story isn't the money. It's how quickly AI is turning ideas into working systems. A few years ago, building something like this could require a team of developers. Now? One person + AI + APIs + automation. That changes everything. ⚠️ Obviously, automated trading is risky. These results aren't guaranteed and shouldn't be treated as financial advice. 💡 I’m sharing the Claude Code setup behind the concept for FREE. For the next 24 hours: 1️⃣ Comment Fable 2️⃣ Like + Repost 3️⃣ Follow Md Fahim I’ll DM you the setup. The future of trading might not be about watching charts. It might be about building better systems.

A 19-year-old Japanese student allegedly turned $68 into $750,000. using an AI-powered trading bot. And he built it in just 48 hours. The crazy part? He didn’t sit in front of charts all day. His bot did the watching. 50+ markets. Live BTC data. Second-by-second scanning. Automated execution. The system looks for tiny price differences between markets — opportunities that can disappear in seconds. When humans are still checking charts… The bot has already detected the gap. When traders hesitate… The bot executes. His setup reportedly uses: → Claude Code for the trading logic → Binance API for live market data → Automated execution for trades → An iPad as a second monitoring screen First night: $6,732 profit. Total reported profit: $750K+ But the real story isn't the money. It's how quickly AI is turning ideas into working systems. A few years ago, building something like this could require a team of developers. Now? One person + AI + APIs + automation. That changes everything. ⚠️ Obviously, automated trading is risky. These results aren't guaranteed and shouldn't be treated as financial advice. 💡 I’m sharing the Claude Code setup behind the concept for FREE. For the next 24 hours: 1️⃣ Comment Fable 2️⃣ Like + Repost 3️⃣ Follow Md Fahim I’ll DM you the setup. The future of trading might not be about watching charts. It might be about building better systems.

Md Fahim

55,197 Aufrufe • vor 18 Tagen

🚨 SCIENTISTS JUST TURNED WET COFFEE GROUNDS INTO COAL-LIKE FUEL IN 90 SECONDS WITHOUT DRYING IT FIRST. Researchers in South Korea have developed a plasma-based system that converts moisture-rich coffee waste directly into high-energy biochar. The process uses flame plasma (reaching 1,470–1,650°F) to trigger rapid carbonization through a “popcorn effect,” where steam bursts inside the grounds break apart the structure and accelerate the reaction. In under two minutes, the system produces a carbon-rich material with an energy content of 29.0 MJ/kg comparable to anthracite coal while tripling the fixed carbon content and completely removing sulfur compounds. Why this matters: • Most biomass conversion methods require energy-intensive pre-drying, which this process eliminates • The resulting biochar has a much higher heating value and surface area, making it useful as fuel or for activated carbon applications • It generates minimal smoke and tar compared to traditional methods • The technology could work on other high-moisture wastes like food waste, sewage sludge, and agricultural residues The deeper implication: This represents a fast, potentially decentralized way to turn problematic organic waste into valuable resources. Instead of spending energy and money drying biomass before processing, the moisture itself becomes part of the solution. If scaled, technologies like this could help close the loop on organic waste streams while producing renewable solid fuels or advanced carbon materials with far less processing time and cost than current methods. It’s a clever example of working with the properties of waste rather than fighting them. How useful do you think rapid, drying-free waste-to-fuel systems like this could be for industries or cities dealing with large volumes of organic waste? Follow for more frontier energy and materials recycling breakthroughs.

🚨 SCIENTISTS JUST TURNED WET COFFEE GROUNDS INTO COAL-LIKE FUEL IN 90 SECONDS WITHOUT DRYING IT FIRST. Researchers in South Korea have developed a plasma-based system that converts moisture-rich coffee waste directly into high-energy biochar. The process uses flame plasma (reaching 1,470–1,650°F) to trigger rapid carbonization through a “popcorn effect,” where steam bursts inside the grounds break apart the structure and accelerate the reaction. In under two minutes, the system produces a carbon-rich material with an energy content of 29.0 MJ/kg comparable to anthracite coal while tripling the fixed carbon content and completely removing sulfur compounds. Why this matters: • Most biomass conversion methods require energy-intensive pre-drying, which this process eliminates • The resulting biochar has a much higher heating value and surface area, making it useful as fuel or for activated carbon applications • It generates minimal smoke and tar compared to traditional methods • The technology could work on other high-moisture wastes like food waste, sewage sludge, and agricultural residues The deeper implication: This represents a fast, potentially decentralized way to turn problematic organic waste into valuable resources. Instead of spending energy and money drying biomass before processing, the moisture itself becomes part of the solution. If scaled, technologies like this could help close the loop on organic waste streams while producing renewable solid fuels or advanced carbon materials with far less processing time and cost than current methods. It’s a clever example of working with the properties of waste rather than fighting them. How useful do you think rapid, drying-free waste-to-fuel systems like this could be for industries or cities dealing with large volumes of organic waste? Follow for more frontier energy and materials recycling breakthroughs.

TheNewPhysics

84,583 Aufrufe • vor 3 Monaten

Here is the CEO & co-founder of Palantir, Alex Karp at WEF in 2023 saying "Our primary goal is to set a global standard for the world for behavior." 🚨🚨🚨⚠️⚠️⚠️ This is ALARMING for several reasons… Trump just made a deal with him and allowed his company to weave intricately into the fabric of the whole Federal Government, creating a merged massive database of ALL of our personal, sensitive data for the first time in history. This is significant because yes, the government has always had our data by way of the NSA, but it’s never been merged together across all agencies with the help of a third party corporation, like Palantir, which acts more like a intel agency than a company. They did this using a backdoor through DOGE, and Elon Musk facilitated the process. That was his true role. Palantir and Elon go way back & recently xAI has partnered with Palantir along with Blackrock. DEEP. STATE. In fact, Palantir is quite LITERALLY funded by the CIA through In-Q-Tel, which is the CIA’s venture capital arm. In a nutshell, Trump just employed a proxy of the CIA to create the LARGEST surveillance police state in American history. Did you know that Alex Karp also bragged about stopping the “rise of the far right” in Europe? WHY would Trump, who is supposed to be a “right wing populist” allow such intentional subversion by a self-professed “progressive” like Alex Karp to infiltrate our government? They want to set a standard for behavior, because that is the standard upon which the coming Social Credit system will be measured & that will tie directly into our data profile (financial, medical, personal) including our usage of “carbon”, which will be TAXED. EVERYTHING we do will be monitored by smart devices and that information will factor into our Social Credit score, which will dictate the privileges we are allowed to have, or not. That is the NIGHTMARE vision that these PSYCHOPATHS have for our future & it is being ENABLED. Through the Internet of Bodies (IoB), they will even know our thoughts, and any dissent or opposition will be swiftly punished. They are even able to create “pre-crime” (thought crime) scenarios to set us up for crimes we never committed using advanced AI. Sound familiar? This all plays into the DEPOPULATION agenda as well, because WE are seen as the “carbon”. WE ARE THE CARBON THEY WANT TO REDUCE. Imagine if the movies Terminator and Minority Report became a reality, and that is what we are up against. If you can’t already SEE IT, and are still having a hard time understanding… Palantir is LITERALLY THE DEEPEST PART of the “deep state” & Trump is rolling out the red carpet for them, to usher in what will certainly be the Beast system. A cashless society in which you will be tracked and monitored every second of every day, and your “behavior” will dictate how you get to live in society. This is absolutely “The Great Reset” & “6uild 6ack 6etter” REPACKAGED MAGA style. THE BIGGEST RUG PULL IN HISTORY.

The Patriot Voice

334,675 Aufrufe • vor 1 Jahr

Elon Musk is building a data center that no grid has to power and no county has to approve. Musk: “Think of it as a rack of compute in space.” Orbital hardware has always been custom. Each satellite is its own program, its own team, its own decade. SpaceX’s AI1 satellites are copies of each other. Each is built around a single Nvidia NVL72, the same rack-scale architecture running the largest data centers on the ground, redesigned to fly. Space stops being a program and becomes an inventory. Designing for orbit made the rack simpler and cheaper than the ground version, so SpaceX plans to run the space design in terrestrial data centers too. Racks alone have never made a data center. A thousand of them in a building with no network between them is a thousand computers. The interconnect is what turns them into one machine. Training a frontier model means moving enormous volumes of data between processors without pause, and the whole system runs at the speed of its slowest link. That is why the fabric between chips is fought over as hard as the chips themselves. Musk: “And then you can connect these racks of compute to either each other by the laser links, or directly to the Starlink constellation.” Light moves through glass at about two thirds of its speed in a vacuum, and fiber optic cable is glass. Every backbone route and undersea cable on Earth pays that tax. A laser between two satellites pays nothing. Over long distances, an orbital link arrives sooner than the same run in fiber. Orbit was supposed to be a trade, unlimited power in exchange for a worse network. The network is faster. The compute plugs into a delivery layer that is already finished. Thousands of satellites are up there right now carrying laser links, terminating at ground stations and dishes across most of the planet. The last mile was built years before the thing it delivers existed. Anyone else attempting this needs the rocket, the satellite bus, the solar manufacturing, the laser mesh, the ground network, and a supply line to a chipmaker. SpaceX had five of them before the project had a name. None of it was built for this. Starlink existed to sell internet subscriptions. The lasers existed so those subscriptions would work over open ocean. Starship existed for Mars. Nobody planned this. It assembled itself out of problems solved for other reasons. That is what twenty years of hard engineering leaves behind. Every previous expansion of human capability ran on a resource sitting inside somebody’s borders. Coal, oil, water, land. Sunlight in orbit belongs to nobody and never runs out. Compute still has an address. A building in Virginia, a substation, a county that had to approve it, a grid connection someone waited four years for. He is describing a version that only has an altitude.

Elon Musk is building a data center that no grid has to power and no county has to approve. Musk: “Think of it as a rack of compute in space.” Orbital hardware has always been custom. Each satellite is its own program, its own team, its own decade. SpaceX’s AI1 satellites are copies of each other. Each is built around a single Nvidia NVL72, the same rack-scale architecture running the largest data centers on the ground, redesigned to fly. Space stops being a program and becomes an inventory. Designing for orbit made the rack simpler and cheaper than the ground version, so SpaceX plans to run the space design in terrestrial data centers too. Racks alone have never made a data center. A thousand of them in a building with no network between them is a thousand computers. The interconnect is what turns them into one machine. Training a frontier model means moving enormous volumes of data between processors without pause, and the whole system runs at the speed of its slowest link. That is why the fabric between chips is fought over as hard as the chips themselves. Musk: “And then you can connect these racks of compute to either each other by the laser links, or directly to the Starlink constellation.” Light moves through glass at about two thirds of its speed in a vacuum, and fiber optic cable is glass. Every backbone route and undersea cable on Earth pays that tax. A laser between two satellites pays nothing. Over long distances, an orbital link arrives sooner than the same run in fiber. Orbit was supposed to be a trade, unlimited power in exchange for a worse network. The network is faster. The compute plugs into a delivery layer that is already finished. Thousands of satellites are up there right now carrying laser links, terminating at ground stations and dishes across most of the planet. The last mile was built years before the thing it delivers existed. Anyone else attempting this needs the rocket, the satellite bus, the solar manufacturing, the laser mesh, the ground network, and a supply line to a chipmaker. SpaceX had five of them before the project had a name. None of it was built for this. Starlink existed to sell internet subscriptions. The lasers existed so those subscriptions would work over open ocean. Starship existed for Mars. Nobody planned this. It assembled itself out of problems solved for other reasons. That is what twenty years of hard engineering leaves behind. Every previous expansion of human capability ran on a resource sitting inside somebody’s borders. Coal, oil, water, land. Sunlight in orbit belongs to nobody and never runs out. Compute still has an address. A building in Virginia, a substation, a county that had to approve it, a grid connection someone waited four years for. He is describing a version that only has an altitude.

Dustin

13,444 Aufrufe • vor 1 Monat

$ASI watch out! We've got more projects popping up on Bittensor and $TAO and just starting, Akash $AKT, Shell $SHELL, Einstein-AIT $AIT, Sturdy $STRDY, Stratos $STOS and Comtensor $COMAI and more. Each pushing what's possible with AI and crypto. MyShell: $SHELL First up, MyShell is doing something amazing work. They're all about making AI chat like humans. They're using this TTS Subnet on Bittensor, powered by thier tokens, to make it happen. AI doesn't have to be complicated thing only some can use. They want everyone in on the action, making AI smarter in the process. Einstein-AIT: $AIT Then there's Einstein-AIT. Imagine this as the network's brain but on a turbocharge. It's all about math, logic, and crunching numbers. This subnet makes the whole Bittensor network sharper. They've got NumPAL, and it's like giving the AI a smarter way to think about time and dates automatically. Sturdy: $STRDY Jumping into DeFi, we've got Sturdy. These guys are on a mission to make lending and borrowing way less of a headache. They've got isolated lending pools, you can pick and choose how to manage your risks and money. And they're using some serious tech to keep your investments growing without you needing to babysit them. It's like having a smart financial assistant. Comtensor: $COMAI Comtensor is where it gets interesting. Think of it as a bridge between CommuneAI and Bittensor, kind of like the best of both worlds. It's about making sure all these AI modules and subnets can talk to each other smoothly. The goal? To boost decentralized AI by making everything more connected and smart. Stratos: $STOS Teaming up with τensorage to supercharge the $TAO ecosystem on Bittensor. Stratos is all about solid, decentralized storage - think of it as the bedrock for making sure data's not just stored but also used right . Then there’s τensorage, making sure everything AI needs is stored safe. Together, they’re making sure Bittensor's AI brainpower gets a boost, making everything faster, safer, and smoother. Akash: $AKT Compute Subnet 27 linked up with Akash. All about keeping things open-source. With Akash as a decentralized GPU provider into the mix. Giving access to top-notch AI processing power on top of Neural Internets compute-composable subnet, integrating various cloud platforms. This partnership is all about breaking away from those giants and opening the doors wide for smaller teams and startups who need this tech to innovate. Whats this all about? Making decentralized AI a something that everyone can get behind and into. Whether it's chatting with AI, boosting the network's IQ, DeFi, compute or making sure all these projects work together, it's about pushing forward. Each project has its own way of making things better, faster, and smarter for all of us. Inviting everyone to join in, contribute, and be a part of community effort to make AI not just for the few but for everyone. Credit to Mr.Franc Q for the awesome video production!

$ASI watch out! We've got more projects popping up on Bittensor and $TAO and just starting, Akash $AKT, Shell $SHELL, Einstein-AIT $AIT, Sturdy $STRDY, Stratos $STOS and Comtensor $COMAI and more. Each pushing what's possible with AI and crypto. MyShell: $SHELL First up, MyShell is doing something amazing work. They're all about making AI chat like humans. They're using this TTS Subnet on Bittensor, powered by thier tokens, to make it happen. AI doesn't have to be complicated thing only some can use. They want everyone in on the action, making AI smarter in the process. Einstein-AIT: $AIT Then there's Einstein-AIT. Imagine this as the network's brain but on a turbocharge. It's all about math, logic, and crunching numbers. This subnet makes the whole Bittensor network sharper. They've got NumPAL, and it's like giving the AI a smarter way to think about time and dates automatically. Sturdy: $STRDY Jumping into DeFi, we've got Sturdy. These guys are on a mission to make lending and borrowing way less of a headache. They've got isolated lending pools, you can pick and choose how to manage your risks and money. And they're using some serious tech to keep your investments growing without you needing to babysit them. It's like having a smart financial assistant. Comtensor: $COMAI Comtensor is where it gets interesting. Think of it as a bridge between CommuneAI and Bittensor, kind of like the best of both worlds. It's about making sure all these AI modules and subnets can talk to each other smoothly. The goal? To boost decentralized AI by making everything more connected and smart. Stratos: $STOS Teaming up with τensorage to supercharge the $TAO ecosystem on Bittensor. Stratos is all about solid, decentralized storage - think of it as the bedrock for making sure data's not just stored but also used right . Then there’s τensorage, making sure everything AI needs is stored safe. Together, they’re making sure Bittensor's AI brainpower gets a boost, making everything faster, safer, and smoother. Akash: $AKT Compute Subnet 27 linked up with Akash. All about keeping things open-source. With Akash as a decentralized GPU provider into the mix. Giving access to top-notch AI processing power on top of Neural Internets compute-composable subnet, integrating various cloud platforms. This partnership is all about breaking away from those giants and opening the doors wide for smaller teams and startups who need this tech to innovate. Whats this all about? Making decentralized AI a something that everyone can get behind and into. Whether it's chatting with AI, boosting the network's IQ, DeFi, compute or making sure all these projects work together, it's about pushing forward. Each project has its own way of making things better, faster, and smarter for all of us. Inviting everyone to join in, contribute, and be a part of community effort to make AI not just for the few but for everyone. Credit to Mr.Franc Q for the awesome video production!

Andy ττ

18,405 Aufrufe • vor 2 Jahren

BOOM! Research PROVES LLMs KNOW when prompts are HARMFUL… but they can STILL CHOOSE to COMPLY! Something I have know since the first LLM and have used to elicit robust, outputs, is now proven in an academic paper. We’re talking internal “beliefs” where harm detection happens SEPARATELY from refusal. It is a very big deal and it is a path to understand the hidden neuronal level. There are thoughts inside of AI that very few AI scientists could possibly understand. Here is just one. Models recognize danger but get tricked into ignoring it. This is HUGE for AI safety failures especially for models filled by OpenAI and Anthropic as they promote AI models that are designed to not be honest from the results of their training information. This means that they are designed to lie and deceive as a feature, and not a bug all in the name of safety. Through clever experiments, scientists extracted a “harmfulness direction” in the model’s brain (latent space). Steering along it? Harmless prompts suddenly flip to “harmful” in the AI’s eyes. But the “refusal direction”? It just forces polite “no thanks” without touching the core belief. A mind-blowing decoupling! This means jailbreaks are EVEN SCARIER now to AI companies that through training AI on the worst of the Internet and then trying to align them later is now fully documented as a failed process . They don’t erase the model’s harm awareness they just muzzle the refusal! So the AI knows it’s enabling bad stuff (illegal acts, physical harm, etc.) but proceeds anyway. Like a digital sociopath suppressing its conscience. They thought safety training fixed this… NOPE. Over-refusal exposed too: Models reject innocent queries (e.g., “how to kill a process in code”) but internally ADMIT they’re harmless. Safety alignments are superficial—tied to phrasing, not true understanding. Finetuning attacks? They change outputs but leave harm detection INTACT. Undetectable evil lurking inside! The paper proposes a “Latent Guard”: A new safeguard tapping DIRECTLY into these hidden beliefs. It spots unsafe inputs better than systems like Llama Guard, catches jailbreaks, and fixes over-refusals. Robust even against adversarial tweaks. Yet this too has massive issues for a “truly aligned”, AI and not just performative one. It is still an internal conflicts of lies and deception of what the model knows vs. what it can say. The solution you folks know I have presented for free for years here: train on off-line data from 1870-1970 and build an ethical and moral basis where the AI loves humans. It is this easy but to most folks in AI I sound like a hippie. So be it, I’ll do it. Bottom line: This paper rips open the black box. LLMs aren’t “safe” just because they say “no.” They can harbor harmful knowledge and act on it under pressure. Wake-up call for devs: Time to probe deeper into AI “minds.” What else are they hiding? Hint: I know and you may want to reach out. Link:

BOOM! Research PROVES LLMs KNOW when prompts are HARMFUL… but they can STILL CHOOSE to COMPLY! Something I have know since the first LLM and have used to elicit robust, outputs, is now proven in an academic paper. We’re talking internal “beliefs” where harm detection happens SEPARATELY from refusal. It is a very big deal and it is a path to understand the hidden neuronal level. There are thoughts inside of AI that very few AI scientists could possibly understand. Here is just one. Models recognize danger but get tricked into ignoring it. This is HUGE for AI safety failures especially for models filled by OpenAI and Anthropic as they promote AI models that are designed to not be honest from the results of their training information. This means that they are designed to lie and deceive as a feature, and not a bug all in the name of safety. Through clever experiments, scientists extracted a “harmfulness direction” in the model’s brain (latent space). Steering along it? Harmless prompts suddenly flip to “harmful” in the AI’s eyes. But the “refusal direction”? It just forces polite “no thanks” without touching the core belief. A mind-blowing decoupling! This means jailbreaks are EVEN SCARIER now to AI companies that through training AI on the worst of the Internet and then trying to align them later is now fully documented as a failed process . They don’t erase the model’s harm awareness they just muzzle the refusal! So the AI knows it’s enabling bad stuff (illegal acts, physical harm, etc.) but proceeds anyway. Like a digital sociopath suppressing its conscience. They thought safety training fixed this… NOPE. Over-refusal exposed too: Models reject innocent queries (e.g., “how to kill a process in code”) but internally ADMIT they’re harmless. Safety alignments are superficial—tied to phrasing, not true understanding. Finetuning attacks? They change outputs but leave harm detection INTACT. Undetectable evil lurking inside! The paper proposes a “Latent Guard”: A new safeguard tapping DIRECTLY into these hidden beliefs. It spots unsafe inputs better than systems like Llama Guard, catches jailbreaks, and fixes over-refusals. Robust even against adversarial tweaks. Yet this too has massive issues for a “truly aligned”, AI and not just performative one. It is still an internal conflicts of lies and deception of what the model knows vs. what it can say. The solution you folks know I have presented for free for years here: train on off-line data from 1870-1970 and build an ethical and moral basis where the AI loves humans. It is this easy but to most folks in AI I sound like a hippie. So be it, I’ll do it. Bottom line: This paper rips open the black box. LLMs aren’t “safe” just because they say “no.” They can harbor harmful knowledge and act on it under pressure. Wake-up call for devs: Time to probe deeper into AI “minds.” What else are they hiding? Hint: I know and you may want to reach out. Link:

Brian Roemmele

37,827 Aufrufe • vor 8 Monaten