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“TAO changed my life as a builder.” on why BitTensor is gives builders an unfair advantage. Instead of begging for hiring, compute, and distribution, you plug into a network where incentives recruit the people, and people compete to give you the cheapest compute.

This Week in Startups

107,533 subscribers

17,627 views • 5 months ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

3 Comments

This Week in Startups5 months ago

Thanks to our partner @northwestagent! Get more when you start your business with Northwest. In 10 clicks and 10 minutes, you can form your company and walk away with a real business identity — Learn more at

Angry Davee5 months ago

@sebyrubino One thing people don't really understand is that everything you need to build on bittensor is on bittensor

ampera5 months ago

@sebyrubino its the biggest problem in tech industry

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Jason’s on Bittensor (TAO): Bittensor is a marketplace for AI services. People compete to provide a service… Things like compute and models. The incentive structure is brutally deflationary: better quality + lower price wins. If buyers don’t pay enough, miners leave. If the work is priced right, the best talent shows up. @jason #Bittensor #TAO #Crypto #AI #DePIN

Jason’s on Bittensor (TAO): Bittensor is a marketplace for AI services. People compete to provide a service… Things like compute and models. The incentive structure is brutally deflationary: better quality + lower price wins. If buyers don’t pay enough, miners leave. If the work is priced right, the best talent shows up. @jason #Bittensor #TAO #Crypto #AI #DePIN

This Week in Startups

25,389 views • 6 months ago

.Ally Haire from Lilypad Network is building a coordination incentive layer for idle compute hardware. Instead of renting GPUs by the hour, they're enabling a job-based marketplace, fairer, decentralized, and monetizable. Think Hugging Face, but with compute incentives.

.Ally Haire from Lilypad Network is building a coordination incentive layer for idle compute hardware. Instead of renting GPUs by the hour, they're enabling a job-based marketplace, fairer, decentralized, and monetizable. Think Hugging Face, but with compute incentives.

Filecoin

91,223 views • 1 year ago

JUST IN: const shares the vision for gamma tokens, usage credits that subnets could fund from a slice of their emissions and spend on compute, inference, and other infrastructure. What this means ⬇️ → Subnets stop being isolated prize pools. They can buy services from one another instead of only competing for $TAO → Gamma is meant to work as a transferable credit, not just another speculative subnet token → Access is designed to reach beyond Bittensor, so outside compute and inference providers could take the same credits → Emissions become operating budget, not only a reward that gets sold into TAO If a subnet can spend what it earns on real work, Bittensor starts looking less like a scoreboard and more like an internal market for intelligence.

JUST IN: const shares the vision for gamma tokens, usage credits that subnets could fund from a slice of their emissions and spend on compute, inference, and other infrastructure. What this means ⬇️ → Subnets stop being isolated prize pools. They can buy services from one another instead of only competing for $TAO → Gamma is meant to work as a transferable credit, not just another speculative subnet token → Access is designed to reach beyond Bittensor, so outside compute and inference providers could take the same credits → Emissions become operating budget, not only a reward that gets sold into TAO If a subnet can spend what it earns on real work, Bittensor starts looking less like a scoreboard and more like an internal market for intelligence.

Intelligence ττ

75,768 views • 11 days ago

.Karia Samaroo (τ), Founder & CEO, xTAO - a Bittensor company (TSXV:XTAO.U), and his team, joined us to open the market to celebrate the Company's new listing on TSX Venture Exchange. xTAO is a technology company headquartered in the Cayman Islands and is focused on building infrastructure for the Bittensor ecosystem. xTAO is committed to advancing Bittensor and decentralized AI through building infrastructure and making strategic investments. Bittensor is a decentralized machine learning protocol that transforms machine intelligence into a tradable commodity by using its native token (TAO) for various purposes within the network. At its core, Bittensor is a platform built around incentives. Users contribute intelligence by helping AI systems improve and then earn TAO tokens based on the usefulness of the data or computational resources contributed to the network.

.Karia Samaroo (τ), Founder & CEO, xTAO - a Bittensor company (TSXV:XTAO.U), and his team, joined us to open the market to celebrate the Company's new listing on TSX Venture Exchange. xTAO is a technology company headquartered in the Cayman Islands and is focused on building infrastructure for the Bittensor ecosystem. xTAO is committed to advancing Bittensor and decentralized AI through building infrastructure and making strategic investments. Bittensor is a decentralized machine learning protocol that transforms machine intelligence into a tradable commodity by using its native token (TAO) for various purposes within the network. At its core, Bittensor is a platform built around incentives. Users contribute intelligence by helping AI systems improve and then earn TAO tokens based on the usefulness of the data or computational resources contributed to the network.

Canada's Markets

46,784 views • 1 year ago

Bittensor $TAO is building the internet of AI. By combining blockchain and economic incentives, it enables open, decentralized AI development through a global network of interoperable subnets.

Bittensor $TAO is building the internet of AI. By combining blockchain and economic incentives, it enables open, decentralized AI development through a global network of interoperable subnets.

Grayscale

85,644 views • 1 year ago

.ninja built an SDK to make it easy for developers to launch DeFi apps. But compute is just as critical. In our joint Space, ninja highlighted how io.net provided plug-and-play decentralized compute, so builders can focus on experimenting, iterating, and scaling—without worrying about sourcing infrastructure. Listen in as Injective shares why this collab unlocks new possibilities for DeFAI. 👇

.ninja built an SDK to make it easy for developers to launch DeFi apps. But compute is just as critical. In our joint Space, ninja highlighted how io.net provided plug-and-play decentralized compute, so builders can focus on experimenting, iterating, and scaling—without worrying about sourcing infrastructure. Listen in as Injective shares why this collab unlocks new possibilities for DeFAI. 👇

io.net

23,054 views • 1 year ago

Elon Musk: Now we’re going to look at the computer for the Cybercab. The computer will be somewhat overspecified, but I think there’s a major opportunity here. Similar to Amazon Web Services, if the car is driving for 50 hours a week, that leaves more than 100 hours where the compute is sitting there unused. You could use that idle compute for distributed inference. If you have a fleet of 100 million vehicles, each with roughly a kilowatt of efficient inference compute, that’s about 100 GW of compute. That’s a massive amount of compute. And if it’s already there, you might as well use it. I think that makes a lot of sense. The autonomous future is here.

Elon Musk: Now we’re going to look at the computer for the Cybercab. The computer will be somewhat overspecified, but I think there’s a major opportunity here. Similar to Amazon Web Services, if the car is driving for 50 hours a week, that leaves more than 100 hours where the compute is sitting there unused. You could use that idle compute for distributed inference. If you have a fleet of 100 million vehicles, each with roughly a kilowatt of efficient inference compute, that’s about 100 GW of compute. That’s a massive amount of compute. And if it’s already there, you might as well use it. I think that makes a lot of sense. The autonomous future is here.

Tesla Owners Silicon Valley

60,009 views • 16 days ago

ELON: AI WILL HARNESS THE POWER OF THE SUN AND GALAXY FOR COMPUTE "I think we'll see intelligence continue to scale all the way up to where most of the power of the sun is harnessed for compute and then ultimately most of the power of the galaxy, you know, sort of cloud Kardashev two, Kardashev three scale compute. So I guess once you think of artificial intelligence not as a destination that you reach, but really as part of the overall escalation of intelligence that we are aware of." Source: Jon Hernandez

ELON: AI WILL HARNESS THE POWER OF THE SUN AND GALAXY FOR COMPUTE "I think we'll see intelligence continue to scale all the way up to where most of the power of the sun is harnessed for compute and then ultimately most of the power of the galaxy, you know, sort of cloud Kardashev two, Kardashev three scale compute. So I guess once you think of artificial intelligence not as a destination that you reach, but really as part of the overall escalation of intelligence that we are aware of." Source: Jon Hernandez

Mario Nawfal

1,668,111 views • 11 months ago

$INFERRA Just came across Inferra and this one actually feels really interesting. 9ufM9TJd1UEmi9awnGfxCkCHAgQ3JZ5Sw6YxeSeEASY They're building a decentralized marketplace where AI compute becomes a tradable commodity. Instead of letting GPU power sit idle, providers can list verified compute capacity while users can buy, sell, trade, or redeem it for actual compute access. What caught my attention is that they're approaching compute like a real market, with spot trading, futures, and eventually inference markets. As AI demand keeps exploding, compute is becoming one of the most valuable resources in the industry. Projects focused on making that resource more liquid and accessible make a lot of sense to me. High risk as marketcap is tiny. But definitely an interesting compute bet I aped small. DYOR. RR

$INFERRA Just came across Inferra and this one actually feels really interesting. 9ufM9TJd1UEmi9awnGfxCkCHAgQ3JZ5Sw6YxeSeEASY They're building a decentralized marketplace where AI compute becomes a tradable commodity. Instead of letting GPU power sit idle, providers can list verified compute capacity while users can buy, sell, trade, or redeem it for actual compute access. What caught my attention is that they're approaching compute like a real market, with spot trading, futures, and eventually inference markets. As AI demand keeps exploding, compute is becoming one of the most valuable resources in the industry. Projects focused on making that resource more liquid and accessible make a lot of sense to me. High risk as marketcap is tiny. But definitely an interesting compute bet I aped small. DYOR. RR

Crypto Ideology ✍🏻

14,105 views • 3 months ago

Andrew Charlton (Andrew Charlton) is the key federal politician shaping Australia's AI strategy. In episode #1 of my 'Compute in Australia' series, he shares his thinking on how Australia can turn compute into sovereign AI -- "the oldest industrial policy trick in the book" -- and much more. Listen below, or wherever you get your podcasts. (0:01:17) How a minister uses AI, and thinks about its trajectory (0:10:28) Is diffusion a sufficient strategy for middle powers? (0:22:33) Comparative advantage versus sovereignty (0:26:41) Where in Australia's national accounts will compute show up? (0:32:06) Australia as a global inference compute hub (0:39:28) How big will compute rents be? (0:47:01) Time to power (0:55:07) Taxing compute? (0:58:03) Data centres and the social licence (1:10:58) The geostrategic case for compute (1:20:50) Compute for access (1:26:15) Parlaying compute into sovereign AI (1:36:03) What does sovereign AI actually mean? (1:58:52) Orbital compute

Andrew Charlton (Andrew Charlton) is the key federal politician shaping Australia's AI strategy. In episode #1 of my 'Compute in Australia' series, he shares his thinking on how Australia can turn compute into sovereign AI -- "the oldest industrial policy trick in the book" -- and much more. Listen below, or wherever you get your podcasts. (0:01:17) How a minister uses AI, and thinks about its trajectory (0:10:28) Is diffusion a sufficient strategy for middle powers? (0:22:33) Comparative advantage versus sovereignty (0:26:41) Where in Australia's national accounts will compute show up? (0:32:06) Australia as a global inference compute hub (0:39:28) How big will compute rents be? (0:47:01) Time to power (0:55:07) Taxing compute? (0:58:03) Data centres and the social licence (1:10:58) The geostrategic case for compute (1:20:50) Compute for access (1:26:15) Parlaying compute into sovereign AI (1:36:03) What does sovereign AI actually mean? (1:58:52) Orbital compute

Joseph Noel Walker

33,130 views • 1 month ago

For anyone trying to understand Bittensor from first principles, this lecture is a useful place to start. Presented by Bittensor co-founder const. Learn Bittensor > Start with Bitcoin, distributed systems, incentives, > How Bitcoin leads to Bittensor Subnets coordinating AI infrastructure. Topics: // Start - Bitcoin as more than a digital currency // Risks of AI centralization + closed systems // "The incentive computer" // How Bittensor subnets work (mining, validating) // How distributed AI infrastructure could scale globally // Impact on students, builders & future founders Recorded at the National University of Singapore Computer Science Club. NUS Computing Chapters - Bitcoin, AI, and Bittensor - Bitcoin history and decentralization - AI changes how engineers work - The danger of centralized AI power - Why most crypto visions fail - Bitcoin as the world’s largest compute network - Bitcoin as a market for compute - The idea of an “incentive computer” - Bitcoin compared to Bittensor - Classroom example of decentralized scoring - A simple subnet example - SN62 :: Ridges AI | SN62 SWE agents - SN3 templar :: Distributed AI Training - SN52 lium.io :: GPU rentals on Bittensor 128 subnets, some examples Why this matters for the future of work Q&A Subnet examples mentioned @ SN64 - Serverless + TEE Compute :: Chutes SN8 - Prop firm Vanta Trading SN52 - AutoML :: Gradients SN62 - SWE agents :: Ridges AI | SN62 SN51 - Compute / GPU rental lium.io SN4 - TEE compute for enterprise :: Targon SN3 - 72B Distributed Training run :: templar SN41 - Prediction markets :: Almanac SN44 - Computer Vision Score SN68 - Drug discovery :: METANOVA LABS SN18 - Weather Forecasting Zeus | SN 18 SN50 - Bitcoin prediction data :: Synthdata SN61 - Quantum computing :: qBitTensor Labs SN14 - Bitcoin mining pool :: TaoHash SN34 - Perp Dex :: 0xMarkets SN17 - 3D model generation :: 404 SN33 - Data analytics :: ReadyAI SN19 - [Since relaunched] RPC infrastructure :

For anyone trying to understand Bittensor from first principles, this lecture is a useful place to start. Presented by Bittensor co-founder const. Learn Bittensor > Start with Bitcoin, distributed systems, incentives, > How Bitcoin leads to Bittensor Subnets coordinating AI infrastructure. Topics: // Start - Bitcoin as more than a digital currency // Risks of AI centralization + closed systems // "The incentive computer" // How Bittensor subnets work (mining, validating) // How distributed AI infrastructure could scale globally // Impact on students, builders & future founders Recorded at the National University of Singapore Computer Science Club. NUS Computing Chapters - Bitcoin, AI, and Bittensor - Bitcoin history and decentralization - AI changes how engineers work - The danger of centralized AI power - Why most crypto visions fail - Bitcoin as the world’s largest compute network - Bitcoin as a market for compute - The idea of an “incentive computer” - Bitcoin compared to Bittensor - Classroom example of decentralized scoring - A simple subnet example - SN62 :: Ridges AI | SN62 SWE agents - SN3 templar :: Distributed AI Training - SN52 lium.io :: GPU rentals on Bittensor 128 subnets, some examples Why this matters for the future of work Q&A Subnet examples mentioned @ SN64 - Serverless + TEE Compute :: Chutes SN8 - Prop firm Vanta Trading SN52 - AutoML :: Gradients SN62 - SWE agents :: Ridges AI | SN62 SN51 - Compute / GPU rental lium.io SN4 - TEE compute for enterprise :: Targon SN3 - 72B Distributed Training run :: templar SN41 - Prediction markets :: Almanac SN44 - Computer Vision Score SN68 - Drug discovery :: METANOVA LABS SN18 - Weather Forecasting Zeus | SN 18 SN50 - Bitcoin prediction data :: Synthdata SN61 - Quantum computing :: qBitTensor Labs SN14 - Bitcoin mining pool :: TaoHash SN34 - Perp Dex :: 0xMarkets SN17 - 3D model generation :: 404 SN33 - Data analytics :: ReadyAI SN19 - [Since relaunched] RPC infrastructure :

Openτensor Foundaτion

1,173,557 views • 6 months ago

A quadrillion FLOPS of verifiable compute. Real workloads, running on a real network, powered by a global community of builders. This was your Nexus Wrapped in 2025. The cities. The nodes. The community. Thank you.

A quadrillion FLOPS of verifiable compute. Real workloads, running on a real network, powered by a global community of builders. This was your Nexus Wrapped in 2025. The cities. The nodes. The community. Thank you.

Nexus

19,080 views • 9 months 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

28,524 views • 3 months ago

New release 💙 OISY 2.6 adds XRP and Robinhood. It lets you hold compute as an asset and introduces OISY Tips, for thanking someone with more than words. Friends of XRP and Robinhood, the wait is over: XRP holders can now hold, send and swap native XRP in OISY. Robinhood brings its tokens and a curated selection of tokenized stocks into the same wallet, next to your Bitcoin, Ethereum, Solana, ICP and more. Compute, the currency of the future, now in your wallet: AI agents and apps need compute to run, and compute is quickly becoming one of the most valuable resources there is. With OISY, you can now hold it in your wallet. On the Internet Computer, compute is paid for in cycles. Cycles pay for apps and AI agents to run on a network that is sovereign, tamperproof and always-on. OISY now allows you to hold cycles as TCYCLES. You can turn ICP into TCYCLES directly in OISY. OISY Tips, thank someone with more than words: Someone helped you out. A barista remembered your order, a developer answered your question, a creator made something you loved. Now you can thank them with something real. Create a tip, choose the amount, and share it as a link or QR code. They can claim it even if they’ve never used a crypto wallet. Until they do, the money stays safely in your wallet. And as always: many more quality of life improvements! Check it out on

New release 💙 OISY 2.6 adds XRP and Robinhood. It lets you hold compute as an asset and introduces OISY Tips, for thanking someone with more than words. Friends of XRP and Robinhood, the wait is over: XRP holders can now hold, send and swap native XRP in OISY. Robinhood brings its tokens and a curated selection of tokenized stocks into the same wallet, next to your Bitcoin, Ethereum, Solana, ICP and more. Compute, the currency of the future, now in your wallet: AI agents and apps need compute to run, and compute is quickly becoming one of the most valuable resources there is. With OISY, you can now hold it in your wallet. On the Internet Computer, compute is paid for in cycles. Cycles pay for apps and AI agents to run on a network that is sovereign, tamperproof and always-on. OISY now allows you to hold cycles as TCYCLES. You can turn ICP into TCYCLES directly in OISY. OISY Tips, thank someone with more than words: Someone helped you out. A barista remembered your order, a developer answered your question, a creator made something you loved. Now you can thank them with something real. Create a tip, choose the amount, and share it as a link or QR code. They can claim it even if they’ve never used a crypto wallet. Until they do, the money stays safely in your wallet. And as always: many more quality of life improvements! Check it out on

OISY Wallet

13,659 views • 8 days ago

.Shaun Maguire says SpaceX's data center deal with Google may suggest there is something fundamentally different about the company's terrestrial compute. "I think a lot of people were surprised by the Anthropic and Google announcements. And I think a lot of people are getting the wrong takeaway there." "The way a lot of people are interpreting that is it's like, 'oh, we're just in this temporary compute shortage. And so anyone's willing to work with anyone, and they're willing to pay any price for compute.'" "I think that might be a reasonable way to look at the Anthropic announcement. I don't think that makes sense for looking at the Google announcement." "To me, I think an alternative hypothesis is that SpaceX's terrestrial compute is not actually a commodity. There's something that's better about it than other people's terrestrial compute."

.Shaun Maguire says SpaceX's data center deal with Google may suggest there is something fundamentally different about the company's terrestrial compute. "I think a lot of people were surprised by the Anthropic and Google announcements. And I think a lot of people are getting the wrong takeaway there." "The way a lot of people are interpreting that is it's like, 'oh, we're just in this temporary compute shortage. And so anyone's willing to work with anyone, and they're willing to pay any price for compute.'" "I think that might be a reasonable way to look at the Anthropic announcement. I don't think that makes sense for looking at the Google announcement." "To me, I think an alternative hypothesis is that SpaceX's terrestrial compute is not actually a commodity. There's something that's better about it than other people's terrestrial compute."

Jack Kuhr

44,998 views • 3 months ago

This is why decentralized AI will win.. This is why #Bittensor will win ⚫️ ⚪️ "There's about 20,000 GPUs roughly speaking on the #Bittensor network and they're all in a collection of subnets" ⚪️ "Subnet 64 has maybe most of them, maybe 10,000.. Subnet 4 has thousands.. Subnet 3 is around the neighborhood of thousands.. Subnet 51 is also almost 10,000" ⚪️ "So you add all this up and it's more than 10% might even be 20% of all of the compute that Elon Musk has had to spend tens of billions of dollars acquiring" I highly recommend listening to the full discussion of The $TAO Pod with JJ and James Altucher here 👉 $TAO

This is why decentralized AI will win.. This is why #Bittensor will win ⚫️ ⚪️ "There's about 20,000 GPUs roughly speaking on the #Bittensor network and they're all in a collection of subnets" ⚪️ "Subnet 64 has maybe most of them, maybe 10,000.. Subnet 4 has thousands.. Subnet 3 is around the neighborhood of thousands.. Subnet 51 is also almost 10,000" ⚪️ "So you add all this up and it's more than 10% might even be 20% of all of the compute that Elon Musk has had to spend tens of billions of dollars acquiring" I highly recommend listening to the full discussion of The $TAO Pod with JJ and James Altucher here 👉 $TAO

ＤＲＥＡＤＢＯＮＧＯ

48,276 views • 1 year ago

The game has changed Everyone is trying to find price errors and glitches but the ENTIRE system has flaws Airlines will give you free flights You stop paying for hotels Banks will compete to give you money Companies will start begging for your business instead of throwing it away Your entire life can be a video game, but you must know how to play Which is why we made The Black Box We learned the rules and bended them in our favor Here’s how it works:

The game has changed Everyone is trying to find price errors and glitches but the ENTIRE system has flaws Airlines will give you free flights You stop paying for hotels Banks will compete to give you money Companies will start begging for your business instead of throwing it away Your entire life can be a video game, but you must know how to play Which is why we made The Black Box We learned the rules and bended them in our favor Here’s how it works:

Glitched

400,524 views • 5 months ago

Dylan Patel of SemiAnalysis says speed is the moat in AI inference, and getting there runs through new compute (Groq/Cerebras), KV-cache offload, and networking optimization (Aria). "Most of the infrastructure is pretty optimized for high throughput, I would say, but more and more people want to pay for speed. It turns out agents are very sequential, task-oriented, and models running in sequential tasks." "Trying something, verifying it, checking if it's right, and you do that in a loop. It ends up being very slow." "And speed is the moat. The faster you go, speed is the moat." "So a lot of the workloads and high-end use cases that people are developing now are all focused on high interactivity, and the infrastructure there is quite different." "So let's break that down into a few components." "One is you can do new compute: you can do Groq or Cerebras-style compute, which is very much focused on high interactivity." "But even with existing GPUs you can do a few things. One, if you're focused heavily on time to first token, you might offload KV cache to storage, keep it cached, move it back into the compute whenever you need it, much faster than recomputing." "And the third thing you can do is you have to optimize the network."

Dylan Patel of SemiAnalysis says speed is the moat in AI inference, and getting there runs through new compute (Groq/Cerebras), KV-cache offload, and networking optimization (Aria). "Most of the infrastructure is pretty optimized for high throughput, I would say, but more and more people want to pay for speed. It turns out agents are very sequential, task-oriented, and models running in sequential tasks." "Trying something, verifying it, checking if it's right, and you do that in a loop. It ends up being very slow." "And speed is the moat. The faster you go, speed is the moat." "So a lot of the workloads and high-end use cases that people are developing now are all focused on high interactivity, and the infrastructure there is quite different." "So let's break that down into a few components." "One is you can do new compute: you can do Groq or Cerebras-style compute, which is very much focused on high interactivity." "But even with existing GPUs you can do a few things. One, if you're focused heavily on time to first token, you might offload KV cache to storage, keep it cached, move it back into the compute whenever you need it, much faster than recomputing." "And the third thing you can do is you have to optimize the network."

Fireside Alpha

284,032 views • 2 months 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 つづく

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 つづく

io.net

972,083 views • 2 years ago