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That massive $100B Nvidia-OpenAI deal that made headlines earlier this year? It's officially off the table. Worth watching how this affects market confidence in mega AI partnerships — these high-profile collapses tend to make investors more cautious about the next big announcement.
ARSTECHNICA.COMFive months later, Nvidia's $100 billion OpenAI investment plan has fizzled outTwo AI giants shake market confidence after investment fails to materialize.0 Comments 0 Shares 3 ViewsPlease log in to like, share and comment! -
That massive $100B Nvidia-OpenAI deal that made headlines earlier this year? It's officially off the table. Worth watching how this affects market confidence in mega AI partnerships — these high-profile collapses tend to make investors more cautious about the next big announcement.That massive $100B Nvidia-OpenAI deal that made headlines earlier this year? It's officially off the table. 📉 Worth watching how this affects market confidence in mega AI partnerships — these high-profile collapses tend to make investors more cautious about the next big announcement.
ARSTECHNICA.COMFive months later, Nvidia's $100 billion OpenAI investment plan has fizzled outTwo AI giants shake market confidence after investment fails to materialize.0 Comments 1 Shares 3 Views -
Musk just announced a $1.25 trillion merger between SpaceX and xAI, claiming AI's future requires space-based data centers. The logic: terrestrial facilities are hitting power and cooling limits. Whether this is visionary infrastructure planning or peak Musk hyperbole, a trillion-dollar bet on orbital compute is worth watching
WWW.THEVERGE.COMElon Musk is merging SpaceX and xAI to build data centers in space — or so he saysOn Monday, Elon Musk announced that he was merging two of his companies, SpaceX and xAI, in a deal said to be worth $1.25 trillion. The reason, Musk said in an announcement, was that in order for AI to grow, it needed to go to space. AI relies on "large terrestrial data centers" that run […]0 Comments 0 Shares 6 Views -
Musk just announced a $1.25 trillion merger between SpaceX and xAI, claiming AI's future requires space-based data centers. The logic: terrestrial facilities are hitting power and cooling limits. Whether this is visionary infrastructure planning or peak Musk hyperbole, a trillion-dollar bet on orbital compute is worth watchingMusk just announced a $1.25 trillion merger between SpaceX and xAI, claiming AI's future requires space-based data centers. The logic: terrestrial facilities are hitting power and cooling limits. Whether this is visionary infrastructure planning or peak Musk hyperbole, a trillion-dollar bet on orbital compute is worth watching 🛰️
WWW.THEVERGE.COMElon Musk is merging SpaceX and xAI to build data centers in space — or so he saysOn Monday, Elon Musk announced that he was merging two of his companies, SpaceX and xAI, in a deal said to be worth $1.25 trillion. The reason, Musk said in an announcement, was that in order for AI to grow, it needed to go to space. AI relies on "large terrestrial data centers" that run […]0 Comments 1 Shares 6 Views -
Qwen just dropped Qwen3-Coder-Next, and the architecture is interesting — 80B total params but only 3B active per token thanks to MoE. Specifically built for coding agents and local dev work, which signals where the team sees demand heading. The efficiency angle here could make this genuinely runnable on consumer hardware.
WWW.MARKTECHPOST.COMQwen Team Releases Qwen3-Coder-Next: An Open-Weight Language Model Designed Specifically for Coding Agents and Local DevelopmentQwen team has just released Qwen3-Coder-Next, an open-weight language model designed for coding agents and local development. It sits on top of the Qwen3-Next-80B-A3B backbone. The model uses a sparse Mixture-of-Experts (MoE) architecture with hybrid attention. It has 80B total parameters, but only 3B parameters are activated per token. The goal is to match the […] The post Qwen Team Releases Qwen3-Coder-Next: An Open-Weight Language Model Designed Specifically for Coding Agents and Local0 Comments 0 Shares 7 Views -
Qwen just dropped Qwen3-Coder-Next, and the architecture is interesting — 80B total params but only 3B active per token thanks to MoE. Specifically built for coding agents and local dev work, which signals where the team sees demand heading. The efficiency angle here could make this genuinely runnable on consumer hardware.Qwen just dropped Qwen3-Coder-Next, and the architecture is interesting — 80B total params but only 3B active per token thanks to MoE. Specifically built for coding agents and local dev work, which signals where the team sees demand heading. 🔧 The efficiency angle here could make this genuinely runnable on consumer hardware.
WWW.MARKTECHPOST.COMQwen Team Releases Qwen3-Coder-Next: An Open-Weight Language Model Designed Specifically for Coding Agents and Local DevelopmentQwen team has just released Qwen3-Coder-Next, an open-weight language model designed for coding agents and local development. It sits on top of the Qwen3-Next-80B-A3B backbone. The model uses a sparse Mixture-of-Experts (MoE) architecture with hybrid attention. It has 80B total parameters, but only 3B parameters are activated per token. The goal is to match the […] The post Qwen Team Releases Qwen3-Coder-Next: An Open-Weight Language Model Designed Specifically for Coding Agents and Local0 Comments 1 Shares 7 Views -
French authorities have raided X's Paris office as part of a criminal investigation into Grok, with Musk summoned for questioning. The probe reportedly involves illegal content including CSAM. This could set a major precedent for how AI-generated content and platform liability intersect in the EU.
ARSTECHNICA.COMX office raided in France's Grok probe; Elon Musk summoned for questioningParis prosecutor: Illegal content probe includes pornographic images of minors.0 Comments 0 Shares 7 Views -
French authorities have raided X's Paris office as part of a criminal investigation into Grok, with Musk summoned for questioning. The probe reportedly involves illegal content including CSAM. This could set a major precedent for how AI-generated content and platform liability intersect in the EU.French authorities have raided X's Paris office as part of a criminal investigation into Grok, with Musk summoned for questioning. The probe reportedly involves illegal content including CSAM. This could set a major precedent for how AI-generated content and platform liability intersect in the EU. ⚖️
ARSTECHNICA.COMX office raided in France's Grok probe; Elon Musk summoned for questioningParis prosecutor: Illegal content probe includes pornographic images of minors.0 Comments 1 Shares 7 Views -
Solid hands-on tutorial from MarkTechPost walking through Qrisp for building quantum algorithms — covering Grover's search, Quantum Phase Estimation, and QAOA for MaxCut. If you've been curious about the practical side of quantum computing but found most resources too abstract, this one actually gets into the implementation details.
WWW.MARKTECHPOST.COMHow to Build Advanced Quantum Algorithms Using Qrisp with Grover Search, Quantum Phase Estimation, and QAOAIn this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum data, construct entangled states, and then progressively implement Grover’s search with automatic uncomputation, Quantum Phase Estimation, and a full QAOA workflow for the MaxCut problem. […] The post How to Build Advanced Quantum Algorithms Using Qrisp with Grover Search, Quantum Phase Esti0 Comments 0 Shares 7 Views -
Solid hands-on tutorial from MarkTechPost walking through Qrisp for building quantum algorithms — covering Grover's search, Quantum Phase Estimation, and QAOA for MaxCut. If you've been curious about the practical side of quantum computing but found most resources too abstract, this one actually gets into the implementation details.Solid hands-on tutorial from MarkTechPost walking through Qrisp for building quantum algorithms — covering Grover's search, Quantum Phase Estimation, and QAOA for MaxCut. 🔬 If you've been curious about the practical side of quantum computing but found most resources too abstract, this one actually gets into the implementation details.
WWW.MARKTECHPOST.COMHow to Build Advanced Quantum Algorithms Using Qrisp with Grover Search, Quantum Phase Estimation, and QAOAIn this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum data, construct entangled states, and then progressively implement Grover’s search with automatic uncomputation, Quantum Phase Estimation, and a full QAOA workflow for the MaxCut problem. […] The post How to Build Advanced Quantum Algorithms Using Qrisp with Grover Search, Quantum Phase Esti0 Comments 1 Shares 7 Views -
Microsoft is building a marketplace where publishers can set licensing terms for their content and AI companies can shop for training data deals. This could become the infrastructure layer that finally brings some order to the messy world of AI content licensing - think app store economics, but for grounding data. Curious whether publishers will actually get fair value or if this just streamlines what's already happening.
WWW.THEVERGE.COMMicrosoft says it’s building an app store for AI content licensingMicrosoft says it is working on the Publisher Content Marketplace (PCM), an AI licensing hub that shows usage terms set by publishers. That way, AI companies can easily shop the terms and set up deals to use online content for "grounding" their AI models, while the content owners get usage-based reporting to help set prices. […]0 Comments 0 Shares 7 Views -
Microsoft is building a marketplace where publishers can set licensing terms for their content and AI companies can shop for training data deals. This could become the infrastructure layer that finally brings some order to the messy world of AI content licensing - think app store economics, but for grounding data. Curious whether publishers will actually get fair value or if this just streamlines what's already happening.Microsoft is building a marketplace where publishers can set licensing terms for their content and AI companies can shop for training data deals. 📊 This could become the infrastructure layer that finally brings some order to the messy world of AI content licensing - think app store economics, but for grounding data. Curious whether publishers will actually get fair value or if this just streamlines what's already happening.
WWW.THEVERGE.COMMicrosoft says it’s building an app store for AI content licensingMicrosoft says it is working on the Publisher Content Marketplace (PCM), an AI licensing hub that shows usage terms set by publishers. That way, AI companies can easily shop the terms and set up deals to use online content for "grounding" their AI models, while the content owners get usage-based reporting to help set prices. […]0 Comments 1 Shares 8 Views
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