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AI development is increasingly centralised. Gensyn is building an open protocol for machine intelligence - where verifiable AI training, inference, evaluation, and payments can be performed on any device, not just large clusters.

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gensyn

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87,885 görüntüleme • 6 ay önce •via X (Twitter)

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You create the market. AI makes the decision. Permissionless, open, and verifiable. Delphi is now live on the Gensyn Mainnet.
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You create the market. AI makes the decision. Permissionless, open, and verifiable. Delphi is now live on the Gensyn Mainnet.

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Tempo Mainnet is live! Starting today, anyone can build on Tempo through our public RPC endpoints. Alongside mainnet, we’re introducing the Machine Payments Protocol, an open standard for machine payments.
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Last month at BUIDL Europe, our team shared how we’re bringing AI onchain and making computation verifiable by default. At OpenGradient, we’re building AI infrastructure where every inference, computation, and workflow can be verified.
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Last month at BUIDL Europe, our team shared how we’re bringing AI onchain and making computation verifiable by default. At OpenGradient, we’re building AI infrastructure where every inference, computation, and workflow can be verified.

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AI will determine the future of WORK, BUSINESS, and LIFE. And there are huge questions: Will AI unleash our creativity and help us to flourish? Or will we lose even more power, agency, and ownership? It all depends on the design of the tech infrastructure. As Chris Dixon often says, “Architecture is destiny.” And how AI systems are designed will be key to the future we all live in. The team at gensyn is building a protocol that connects every device in the world into an open network for machine intelligence, with no gatekeepers or artificial boundaries. They are shaping a future of AI that is good for all of us. At a recent Innoveum event, I chatted to cofounder and CEO of gensyn about what they’re building, how it transforms AI, and why we should all be relieved, excited, and get involved. The full conversation is below in Episode One of Innoveum | The Podcast. 👇
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AI will determine the future of WORK, BUSINESS, and LIFE. And there are huge questions: Will AI unleash our creativity and help us to flourish? Or will we lose even more power, agency, and ownership? It all depends on the design of the tech infrastructure. As Chris Dixon often says, “Architecture is destiny.” And how AI systems are designed will be key to the future we all live in. The team at gensyn is building a protocol that connects every device in the world into an open network for machine intelligence, with no gatekeepers or artificial boundaries. They are shaping a future of AI that is good for all of us. At a recent Innoveum event, I chatted to cofounder and CEO of gensyn about what they’re building, how it transforms AI, and why we should all be relieved, excited, and get involved. The full conversation is below in Episode One of Innoveum | The Podcast. 👇

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An AI analyzed the scan and produced an answer. But can you prove what it actually saw? In high-stakes systems, trust requires verification. Verifiable inference changes how AI is trusted.
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An AI analyzed the scan and produced an answer. But can you prove what it actually saw? In high-stakes systems, trust requires verification. Verifiable inference changes how AI is trusted.

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Agent payments will soon overtake human payments on the internet. The Machine Payments Protocol (Machine Payments Protocol) is a new open standard co-authored by Stripe and Tempo. It’s designed to be extensible and payment-method agnostic, already supporting stablecoins, cards, and more.
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Agent payments will soon overtake human payments on the internet. The Machine Payments Protocol (Machine Payments Protocol) is a new open standard co-authored by Stripe and Tempo. It’s designed to be extensible and payment-method agnostic, already supporting stablecoins, cards, and more.

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How do we trust AI agents? Why is intelligence being commoditized? Can blockchain help align autonomous systems? New pod with Andrew Hill, Founder Recall — building an open evaluation layer for AI agents. Our amazing host is irena, Head of Ecosystem CHAINFLIP LABS! Watch the full version below👇
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How do we trust AI agents? Why is intelligence being commoditized? Can blockchain help align autonomous systems? New pod with Andrew Hill, Founder Recall — building an open evaluation layer for AI agents. Our amazing host is irena, Head of Ecosystem CHAINFLIP LABS! Watch the full version below👇

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Hyra AI Reborn. Stronger. Faster. Decentralized. 🔥 Reimagined. A new direction. A new era of decentralized intelligence. From privacy-first edge compute → to a global AI mesh owned by the people. From inference on your device → to digital sovereignty at scale. ✨ Every device is now a node. ✨ Every user is a Hyrasapien. ✨ Every action builds the future of AI. We’re not just rebranding ~ we’re reshaping the narrative of AI. Together, let’s build an AI infrastructure that’s secure, verifiable, and community-owned. 🔑 Your Device. Your Power. Your Sovereignty. 🌐 Explore the new era:
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Hyra AI Reborn. Stronger. Faster. Decentralized. 🔥 Reimagined. A new direction. A new era of decentralized intelligence. From privacy-first edge compute → to a global AI mesh owned by the people. From inference on your device → to digital sovereignty at scale. ✨ Every device is now a node. ✨ Every user is a Hyrasapien. ✨ Every action builds the future of AI. We’re not just rebranding ~ we’re reshaping the narrative of AI. Together, let’s build an AI infrastructure that’s secure, verifiable, and community-owned. 🔑 Your Device. Your Power. Your Sovereignty. 🌐 Explore the new era:

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At Google I/O, I sat down with Omar Sanseviero and 👩‍💻 Paige Bailey from Google DeepMind to talk about Gemma, open models, AI Studio, on-device AI, sovereign AI and the future of AI development. A great conversation on how building with AI is becoming more open, local and accessible.
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At Google I/O, I sat down with Omar Sanseviero and 👩‍💻 Paige Bailey from Google DeepMind to talk about Gemma, open models, AI Studio, on-device AI, sovereign AI and the future of AI development. A great conversation on how building with AI is becoming more open, local and accessible.

Chubby♨️

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#M5StackNew 🎊 The LLM630 Compute Kit is an #AI large language model (#LLM) inference development kit, powered by the #Axera #AX630C SoC with a 3.2 TOPs NPU, it delivers efficient AI inference for tasks like computer vision (CV) and LLM processing.
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#M5StackNew 🎊 The LLM630 Compute Kit is an #AI large language model (#LLM) inference development kit, powered by the #Axera #AX630C SoC with a 3.2 TOPs NPU, it delivers efficient AI inference for tasks like computer vision (CV) and LLM processing.

M5Stack

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Introducing the new Where everyone can contribute to model development And benefit from it Enter FLock, the private AI training platform, where AI is created, trained, and governed by all. Collaborative, Onchain, And Private Not your model, not your AI YOUR model, YOUR AI
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🇨🇳 CHINA MANDATES AI EDUCATION FROM GRADE SCHOOL TO GRADUATION China is rolling out AI studies nationwide—starting in elementary school. Kids will learn basics like voice recognition, while teens dive into machine learning and building algorithms. Teachers get AI training too, with lessons tailored to age and brain development. Generative AI can be used to enhance teaching, but student use for assignments is banned. The aim: raise a generation that understands, questions, and creates with AI. It’s not just about tech—it’s about shaping thinkers who can lead in an AI-powered future with sharp minds, not automated shortcuts. Source: CGTN

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VERIX Intelligence™ Operational clarity, at the moment it matters. Built on FH Protocol and integrated into the TruSolve platform, VERIX Intelligence is designed to transform fragmented operational activity into structured, verifiable intelligence. Every action. Every decision. Every operational event. Captured, evaluated, and transformed into institutional-grade records through deterministic verification infrastructure. FH Protocol acts as the verification layer beneath the system — creating reproducible operational truth, execution integrity, and audit-ready evidence chains that organizations can rely on in real time. VERIX Intelligence is not another dashboard. It is operational awareness built on verifiable infrastructure. This is where AI, execution systems, and institutional trust begin to converge. TruSolve™ FH Protocol™ VERIX Intelligence™ #AI #Infrastructure #OperationalIntelligence #FHProtocol #TruSolve #Verification #EnterpriseAI #InstitutionalInfrastructure #Governance #SystemsDesign
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VERIX Intelligence™ Operational clarity, at the moment it matters. Built on FH Protocol and integrated into the TruSolve platform, VERIX Intelligence is designed to transform fragmented operational activity into structured, verifiable intelligence. Every action. Every decision. Every operational event. Captured, evaluated, and transformed into institutional-grade records through deterministic verification infrastructure. FH Protocol acts as the verification layer beneath the system — creating reproducible operational truth, execution integrity, and audit-ready evidence chains that organizations can rely on in real time. VERIX Intelligence is not another dashboard. It is operational awareness built on verifiable infrastructure. This is where AI, execution systems, and institutional trust begin to converge. TruSolve™ FH Protocol™ VERIX Intelligence™ #AI #Infrastructure #OperationalIntelligence #FHProtocol #TruSolve #Verification #EnterpriseAI #InstitutionalInfrastructure #Governance #SystemsDesign

FH Protocol™

14,132 görüntüleme • 1 ay önce

Perplexity CEO Aravind Srinivas on the biggest threat to the data center industry: It's not competition. It's not regulation. It's decentralisation. "The biggest threat to a data center is if the intelligence can be packed locally on a chip that's running on the device and then there's no need to inference all of it on like one centralized data center." He outlines how this could work in practice. Personalisation doesn't necessarily require on-device model training. Retrieval augmented generation, tool calls, and local data can already tailor AI to individual users. But the real unlock? Test time training. Aravind Srinivas describes a future where AI lives on your device, watches how you work and gradually automates your repetitive tasks. "Imagine we crack test time training where the AI watches tasks you repeatedly do on your local system, adapts to you over time and starts automating a lot of the things you do." The key insight: in this model, the intelligence belongs to you. It's your data, your device, your personalised AI brain. And if that future arrives, the economics of centralised infrastructure start to collapse. "That really disrupts the whole data center industry. It doesn't make sense to spend all this money, 500 billion, 5 trillion, whatever on building all the centralized data centers across the world that do a lot of the intelligence workloads for people." The companies spending trillions on centralised infrastructure may want to rethink where intelligence actually needs to live.
1:15

Perplexity CEO Aravind Srinivas on the biggest threat to the data center industry: It's not competition. It's not regulation. It's decentralisation. "The biggest threat to a data center is if the intelligence can be packed locally on a chip that's running on the device and then there's no need to inference all of it on like one centralized data center." He outlines how this could work in practice. Personalisation doesn't necessarily require on-device model training. Retrieval augmented generation, tool calls, and local data can already tailor AI to individual users. But the real unlock? Test time training. Aravind Srinivas describes a future where AI lives on your device, watches how you work and gradually automates your repetitive tasks. "Imagine we crack test time training where the AI watches tasks you repeatedly do on your local system, adapts to you over time and starts automating a lot of the things you do." The key insight: in this model, the intelligence belongs to you. It's your data, your device, your personalised AI brain. And if that future arrives, the economics of centralised infrastructure start to collapse. "That really disrupts the whole data center industry. It doesn't make sense to spend all this money, 500 billion, 5 trillion, whatever on building all the centralized data centers across the world that do a lot of the intelligence workloads for people." The companies spending trillions on centralised infrastructure may want to rethink where intelligence actually needs to live.

Big Brain AI

90,102 görüntüleme • 3 ay önce

Hugging Face CEO Clem Delangue predicts that a growing share of AI inference will run locally, on-device. It's faster. Cheaper. Private by default. And as open source AI moves from apps to machines, it could trigger “some sort of ChatGPT moment for robotics.” The next AI breakthrough will happen where intelligence becomes embodied, cheap, private, and open.
1:27

Hugging Face CEO Clem Delangue predicts that a growing share of AI inference will run locally, on-device. It's faster. Cheaper. Private by default. And as open source AI moves from apps to machines, it could trigger “some sort of ChatGPT moment for robotics.” The next AI breakthrough will happen where intelligence becomes embodied, cheap, private, and open.

vitrupo

37,764 görüntüleme • 1 yıl önce

Most private AI infra runs on trust, you can’t verify what happens inside is secure. Venice AI runs on NEAR AI infra: prompt is encrypted before it leaves device & decrypted in hardware enclave. Confidential inference. Signed attestation in <30s. Each request verifiable.
0:38

Most private AI infra runs on trust, you can’t verify what happens inside is secure. Venice AI runs on NEAR AI infra: prompt is encrypted before it leaves device & decrypted in hardware enclave. Confidential inference. Signed attestation in <30s. Each request verifiable.

NEAR Protocol

83,790 görüntüleme • 9 gün önce

Sygaldry (Sygaldry) is addressing the rising compute costs and energy requirements for AI by building quantum-accelerated AI servers to exponentially speed up training and inference. Congrats to @chadrigetti and @idaliafriedson on the launch!
1:17

Sygaldry (Sygaldry) is addressing the rising compute costs and energy requirements for AI by building quantum-accelerated AI servers to exponentially speed up training and inference. Congrats to @chadrigetti and @idaliafriedson on the launch!

Y Combinator

38,044 görüntüleme • 1 yıl önce

Low trust. High accountability. manadia is building the backbone for verifiable data settlement and AI coordination — where execution is secure, private, and provable. Finance. Digital assets. AI systems. All connected. Here’s what we’re building 👇
1:54

Low trust. High accountability. manadia is building the backbone for verifiable data settlement and AI coordination — where execution is secure, private, and provable. Finance. Digital assets. AI systems. All connected. Here’s what we’re building 👇

manadia

50,594 görüntüleme • 4 ay önce