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The worldwide quantum computer is coming Our mission: quantum compute for everyone We connect providers with excess capacity to the people who need it. Trustless, 20x faster, and 100x more energy efficient than classical compute. Quest to earn QUIP 👇

Quip Network

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275,151 views • 6 months ago •via X (Twitter)

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This is what separates quantum from classical computing... D-Wave, $QBTS, used their quantum computer to compute properties of magnetic materials in just minutes—a task that would require more than the world’s annual energy on a classical machine. “We are able to solve problems on our quantum computers that cannot be solved classically.” - Alan Baratz, CEO of D-Wave 🗣️

This is what separates quantum from classical computing... D-Wave, $QBTS, used their quantum computer to compute properties of magnetic materials in just minutes—a task that would require more than the world’s annual energy on a classical machine. “We are able to solve problems on our quantum computers that cannot be solved classically.” - Alan Baratz, CEO of D-Wave 🗣️

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Quip Network is making quantum accessible to the world. And we need your help to tell the story. Join our creator program and earn a share of $100,000 in $QUIP rewards. →

Quip Network is making quantum accessible to the world. And we need your help to tell the story. Join our creator program and earn a share of $100,000 in $QUIP rewards. →

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We’re backing Quantum with up to £2 billion, aiming for the UK to become the first nation to deploy Quantum computers at scale. From faster drug discovery to a more efficient NHS, Quantum innovation is set to deliver real‑world benefits for people across the country.

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"We're far more energy efficient than classical computing, and we think that that could open up some significant opportunity to use our quantum computers for AI and machine learning," D-Wave CEO Alan Baratz says.

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Our team ran a verifiable quantum algorithm that probes how parts of a quantum system interact, from molecules to magnets and beyond. On our Willow chip, it ran 13,000× faster than the best classical supercomputers. A first in quantum computing →

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ELON MUSK: SpaceX could have closer to 10 GW of compute next year. “We are building and deploying compute, I think, faster; our rate of growth certainly is faster than anyone else and our efficiency of compute deployment, I think, is also the highest. So we expect to end this year with over two gigawatts of compute. And probably our cumulative compute online by the end of next year will be several times higher. So it may, let’s say, be closer to 10 gigawatts of compute than five gigawatts of compute. That’s the way to think about it.”

ELON MUSK: SpaceX could have closer to 10 GW of compute next year. “We are building and deploying compute, I think, faster; our rate of growth certainly is faster than anyone else and our efficiency of compute deployment, I think, is also the highest. So we expect to end this year with over two gigawatts of compute. And probably our cumulative compute online by the end of next year will be several times higher. So it may, let’s say, be closer to 10 gigawatts of compute than five gigawatts of compute. That’s the way to think about it.”

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30,575 views • 1 month ago

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38,044 views • 1 year ago

Building the world's largest AI compute DePIN means has tens of thousands of independent node operators around the world. Providing alternatives to centralized cloud providers is more than bringing transactions for compute on-chain, it is tapping into the distributed compute that already exists in the world and making it available to innovators and builders advancing AI and ML. video from our community member leeland アブス ✳️

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35,988 views • 7 months ago

Quantum isn’t a distant risk for crypto anymore. 📢 According to Quip Network co-founder Colton Dillion (Colton Dillion), there’s already a 10% chance #Bitcoin-level cryptography could be broken by 2028. And upgrading crypto isn’t a switch — it could take years. → Post-quantum security needs to start now → Quantum networks could solve real-world problems (logistics, finance, materials) → “Build the worldwide quantum computer” “If you believe the risk, you should be acting today.” Watch the full interview 👇

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23,560 views • 3 months ago

We need to scale up the Kardashev scale ASAP We need to massively scale energy production and look at new algorithms/forms of compute for greater utilization/efficiency with our current grid

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All you need to know about humanity. When we stand together, no robot, no machine, no quantum computer can come close. We are the superheroes and our power is the God who made us.

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At LinqAI, we’ve been mission-driven since day one—building competitive, revenue-generating SaaS applications. As our product line has expanded and our customer base has grown, one thing has become clear: we have an opportunity to forge a deeper connection between our SaaS innovations and the Web3 ecosystem. As we scale our SaaS offerings, our demand for compute power continues to grow. Traditionally, paying for compute means sending value outside our ecosystem—resources spent elsewhere, never to return. But what if every compute cycle contributed to the LinqAI ecosystem itself? LinqProtocol is our answer. By transforming idle computers (PCs, laptops, servers, and in the future even phones) into a global compute network, we not only secure scalable and efficient infrastructure but also strengthen the utility of $LNQ—ensuring that every workload contributes to our own decentralized future. LinqProtocol allows for arbitrary compute which means that there are virtually no limits to what can be done on LinqProtocol. From AI Training, to Synthetic Data Generation, 3D Rendering and even hosting a Website - It's all possible on LinqProtocol. ✅ On-demand, scalable compute ✅ Transparent, fair-market pricing ✅ Trustless execution with real-time tracking ✅ Governance-based dispute resolution The future of compute isn’t just more efficient. It’s owned by those who use it. It’s decentralized. And it’s coming soon. $LNQ #LinqProtocol

At LinqAI, we’ve been mission-driven since day one—building competitive, revenue-generating SaaS applications. As our product line has expanded and our customer base has grown, one thing has become clear: we have an opportunity to forge a deeper connection between our SaaS innovations and the Web3 ecosystem. As we scale our SaaS offerings, our demand for compute power continues to grow. Traditionally, paying for compute means sending value outside our ecosystem—resources spent elsewhere, never to return. But what if every compute cycle contributed to the LinqAI ecosystem itself? LinqProtocol is our answer. By transforming idle computers (PCs, laptops, servers, and in the future even phones) into a global compute network, we not only secure scalable and efficient infrastructure but also strengthen the utility of $LNQ—ensuring that every workload contributes to our own decentralized future. LinqProtocol allows for arbitrary compute which means that there are virtually no limits to what can be done on LinqProtocol. From AI Training, to Synthetic Data Generation, 3D Rendering and even hosting a Website - It's all possible on LinqProtocol. ✅ On-demand, scalable compute ✅ Transparent, fair-market pricing ✅ Trustless execution with real-time tracking ✅ Governance-based dispute resolution The future of compute isn’t just more efficient. It’s owned by those who use it. It’s decentralized. And it’s coming soon. $LNQ #LinqProtocol

LinqAI

239,673 views • 1 year ago

Announcing ComputeConnect, the financial industry’s first exchange-for-physical (EFP) network for compute, coming soon from Architect and Compute Desk. ComputeConnect links US exchange-traded compute futures to compute capacity delivery. Exchange-listed cash-settled compute futures are entering US markets to correct course on the current AI economy, reorienting debt to long-term growth: • Creating price discovery and transparency independent of any single capacity provider. • Establishing a forward curve for measuring deprecation and forecasting supply and demand. • Providing financial hedges for compute consumers and producers. • Enabling hedge funds, ETF companies, and traders to gain long and short financial exposure to compute. US cash-settled compute futures lack a physical delivery mechanism, and ComputeConnect fills this gap. Existing physically settled futures such as energy and agriculturals require their clearing house (DCO) to set a uniform standard for the grade and delivery method for the underlying commodity. Compute, by contrast, is highly fragmented, heterogeneous, and rapidly evolving, making it infeasible for any single DCO to define and enforce comparable standards. ComputeConnect establishes a network of compute capacity providers and links the network with Architect’s US futures products using exchange-for-physicals (EFPs), OTC contracts in which futures positions are exchanged for the assets the futures track. EFPs allow counterparties to negotiate the grade, timing, location, and other characteristics of the commodity along with a basis tied to the futures settlement price. ComputeConnect will • Build a network of capacity providers and capacity marketplaces. • Establish an open protocol for members of the network to receive delivery requests and advertise available GPUs. • Publish standard basis tables for different SKUs, memory configurations, and locations for GPUs. • Book the futures legs of the transactions to Architect’s DCM, the American Innovation Exchange. • Facilitate and guarantee delivery of capacity using Compute Desk’s ComputeClear platform. The advancement of US AI is constrained at every link in the supply chain: materials, power, chips, capital… The American Innovation Exchange, ComputeConnect, and our industry partners aim to secure compute’s dominance as an American asset class.

Announcing ComputeConnect, the financial industry’s first exchange-for-physical (EFP) network for compute, coming soon from Architect and Compute Desk. ComputeConnect links US exchange-traded compute futures to compute capacity delivery. Exchange-listed cash-settled compute futures are entering US markets to correct course on the current AI economy, reorienting debt to long-term growth: • Creating price discovery and transparency independent of any single capacity provider. • Establishing a forward curve for measuring deprecation and forecasting supply and demand. • Providing financial hedges for compute consumers and producers. • Enabling hedge funds, ETF companies, and traders to gain long and short financial exposure to compute. US cash-settled compute futures lack a physical delivery mechanism, and ComputeConnect fills this gap. Existing physically settled futures such as energy and agriculturals require their clearing house (DCO) to set a uniform standard for the grade and delivery method for the underlying commodity. Compute, by contrast, is highly fragmented, heterogeneous, and rapidly evolving, making it infeasible for any single DCO to define and enforce comparable standards. ComputeConnect establishes a network of compute capacity providers and links the network with Architect’s US futures products using exchange-for-physicals (EFPs), OTC contracts in which futures positions are exchanged for the assets the futures track. EFPs allow counterparties to negotiate the grade, timing, location, and other characteristics of the commodity along with a basis tied to the futures settlement price. ComputeConnect will • Build a network of capacity providers and capacity marketplaces. • Establish an open protocol for members of the network to receive delivery requests and advertise available GPUs. • Publish standard basis tables for different SKUs, memory configurations, and locations for GPUs. • Book the futures legs of the transactions to Architect’s DCM, the American Innovation Exchange. • Facilitate and guarantee delivery of capacity using Compute Desk’s ComputeClear platform. The advancement of US AI is constrained at every link in the supply chain: materials, power, chips, capital… The American Innovation Exchange, ComputeConnect, and our industry partners aim to secure compute’s dominance as an American asset class.

Brett Harrison

28,122 views • 1 month ago

📣 Call for proposals! Our first funded programme is now live — Scaling Compute: AI at 1/1000th the cost. Hear more from PD Suraj Bramhavar on how we aim to radically reduce the cost + energy consumption of compute hardware, and open new avenues to reap the benefits of AI 👇

📣 Call for proposals! Our first funded programme is now live — Scaling Compute: AI at 1/1000th the cost. Hear more from PD Suraj Bramhavar on how we aim to radically reduce the cost + energy consumption of compute hardware, and open new avenues to reap the benefits of AI 👇

ARIA

61,132 views • 2 years ago

And there it is… Google (and I imagine the other compute providers) are beginning to work with Citadel / Jane Street / etc to improve quantitative trading with compute The demand for an edge in capital markets is quasi infinite The flood gates are open $GOOG $NVDA

And there it is… Google (and I imagine the other compute providers) are beginning to work with Citadel / Jane Street / etc to improve quantitative trading with compute The demand for an edge in capital markets is quasi infinite The flood gates are open $GOOG $NVDA

Midnight Capital

32,174 views • 3 months ago

AI agents move fast. So should your search foundation. Introducing the next generation of Amazon OpenSearch Serverless. We rebuilt OpenSearch Serverless from the ground up for agentic AI and unpredictable workloads: - Create resources in seconds - Autoscale up to 20x faster than before - Usage-based pricing with decoupled storage and compute - No idle costs with scale to zero - Up to 60% cost savings vs. provisioned clusters for peak capacity Learn more.

AI agents move fast. So should your search foundation. Introducing the next generation of Amazon OpenSearch Serverless. We rebuilt OpenSearch Serverless from the ground up for agentic AI and unpredictable workloads: - Create resources in seconds - Autoscale up to 20x faster than before - Usage-based pricing with decoupled storage and compute - No idle costs with scale to zero - Up to 60% cost savings vs. provisioned clusters for peak capacity Learn more.

Amazon Web Services

11,941 views • 2 months ago

Compute is the scarcest resource in AI, and demand keeps growing. On the OpenAI Podcast, our CFO Sarah Friar and Khosla Ventures founder Vinod Khosla talk to host Andrew Mayne about the demand for compute and how we get the benefits of AI to more people.

Compute is the scarcest resource in AI, and demand keeps growing. On the OpenAI Podcast, our CFO Sarah Friar and Khosla Ventures founder Vinod Khosla talk to host Andrew Mayne about the demand for compute and how we get the benefits of AI to more people.

OpenAI

222,850 views • 6 months ago