@cloud.google.com
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Google is doubling down on empowering AI innovation with new enhancements to its Google Kubernetes Engine (GKE). Unveiled at Google Cloud Next 2025, these updates focus on simplifying AI adoption, scaling AI workloads efficiently, and optimizing AI inference performance. The enhancements aim to address the challenges of deploying generative AI by providing tools for infrastructure selection, intelligent load balancing, and cost reduction, all while leveraging the power of Kubernetes. These advancements reflect the increasing demand for AI inference capabilities as businesses seek to solve real-world problems with AI.
Google has introduced several key features to streamline AI inference on GKE, including GKE Inference Quickstart, GKE TPU serving stack, and GKE Inference Gateway. GKE Inference Quickstart helps users select the optimal accelerator, model server, and scaling configuration, providing insights into instance types, model compatibility, and performance benchmarks. The GKE TPU serving stack, with support for Tensor Processing Units (TPUs) and vLLM, enables seamless portability across GPUs and TPUs. Furthermore, the GKE Inference Gateway introduces AI-aware scaling and load balancing techniques, resulting in significant improvements in serving costs, tail latency, and throughput.
These GKE enhancements are designed to equip organizations for the agentic AI era, where multiple AI agents collaborate to accomplish tasks across various systems. Google is also offering tools like the Agent Development Kit (ADK), Agent Garden, and Agent Engine on Vertex AI to build and deploy custom agents. Google Cloud WAN, the company's internal advanced networking technology, is now available to customers, providing a high-performance, secure, and reliable network infrastructure for AI workloads. These efforts demonstrate Google Cloud's commitment to providing an open, comprehensive platform for production AI, enabling businesses to harness the power of AI with ease and efficiency.
Recommended read:
References :
- Practical Technology: Google reveals new Kubernetes and GKE enhancements for AI innovation
- AI & Machine Learning: Details the new GKE inference capabilities that reduce costs, tail latency and increase throughput.
- www.itpro.com: Google Cloud Next 2025: Targeting easy AI
Ali Azhar@AIwire
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Nvidia is strategically expanding its AI capabilities with recent acquisitions, signaling a push towards full-stack AI control. The company is reportedly in advanced talks to acquire Lepton AI, a startup specializing in renting out Nvidia-powered servers for AI development. This move, along with the acquisition of synthetic data startup Gretel, demonstrates Nvidia's ambition to move beyond hardware and offer comprehensive AI solutions.
Nvidia's acquisition strategy aims to enhance its cloud-based AI offerings and counter competition from cloud providers developing their own AI chips. The company's interest in Lepton AI and the acquisition of Gretel, known for privacy-safe AI training data, are key steps in its strategy to become a full-stack enabler of AI development. These acquisitions are aimed at integrating into the AI development pipeline and providing more complete solutions for AI development.
Recommended read:
References :
- AIwire: Nvidia showcased its latest advancements in AI and accelerated computing at GTC 2025.
Jaime Hampton@AIwire
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DeepSeek's innovative AI models are reshaping China's AI data center infrastructure, leading to a market disruption and potentially underutilized resources. The company's DeepSeek-V3 model has demonstrated performance that rivals ChatGPT but at a significantly reduced cost. This has altered the demand for extensive GPU clusters used in traditional AI training, shifting the focus towards hardware prioritizing low-latency, particularly near tech hubs. This has resulted in increased speculation as well as experienced players who are now posed with the challenge of the DeepSeek V3.
The open-source nature of DeepSeek’s model is also allowing smaller players to compete without the need for extensive pretraining, which is undermining the demand for large data centers. DeepSeek-V3, which runs at 20 tokens per second on a Mac Studio, poses a new challenge for existing AI models. Chinese AI startups are now riding DeepSeek's momentum and building an ecosystem that is revolutionizing the AI landscape. This narrows the technology divide between China and the United States.
Recommended read:
References :
- AI News: DeepSeek disruption: Chinese AI innovation narrows global technology divide
- Sify: DeepSeek’s AI Revolution: Creating an Entire AI Ecosystem
- Composio: Deepseek v3-0324 vs. Claude 3.7 Sonnet
- AIwire: Report: China’s Race to Build AI Datacenters Has Hit a Wall
- Quinta?s weblog: DeepSeek-V3 now runs at 20 tokens per second on Mac Studio, and that’s a nightmare for OpenAI
Dashveenjit Kaur@AI News
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Chinese AI startup DeepSeek is shaking up the global technology landscape with its latest large language model, DeepSeek-V3-0324. This new model has been lauded for matching the performance of American AI models, while boasting significantly lower development costs. According to Lee Kai-fu, CEO of Chinese startup 01.AI, the gap between Chinese and American AI capabilities has narrowed dramatically, with China even ahead in some specific areas.
DeepSeek-V3-0324 features enhanced reasoning capabilities and improved performance in multiple benchmarks, particularly in mathematics. The model scored 59.4 on the American Invitational Mathematics Examination (AIME), a significant improvement over its predecessor. Häme University lecturer Kuittinen Petri noted DeepSeek's achievements were realized with just a fraction of the resources available to competitors like OpenAI. This breakthrough has been attributed to DeepSeek’s focus on algorithmic efficiency and novel approaches to model architecture, allowing them to overcome restrictions on access to the latest silicon.
This disruption is not going unnoticed, when DeepSeek launched its R1 model in January, America’s Nasdaq plunged 3.1%, while the S&P 500 fell 1.5%. While DeepSeek claimed a $5.6 million training cost, this represented only the marginal cost of the final training run. SemiAnalysis estimates DeepSeek's actual hardware investment at closer to $1.6 billion, with hundreds of millions in operating costs. The developments present opportunities and challenges for the.
Recommended read:
References :
- venturebeat.com: DeepSeek-V3 now runs at 20 tokens per second on Mac Studio, and that’s a nightmare for OpenAI
- AI News: DeepSeek disruption: Chinese AI innovation narrows global technology divide
- Sify: DeepSeek’s AI Revolution: Creating an Entire AI Ecosystem
- Nordic APIs: ChatGPT vs. DeepSeek: A Side-by-Side Comparison
- Composio: Deepseek v3-0324 vs. Claude 3.7 Sonnet
Ryan Daws@AI News
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DeepSeek, a Chinese AI company, has released DeepSeek V3-0324, an updated AI model that demonstrates impressive performance. The model is now running at 20 tokens per second on a Mac Studio. This model is said to contain 685 billion parameters and its cost-effectiveness challenges the dominance of American AI models, signaling that China continues to innovate in AI despite chip restrictions. Reports from early testers show improvements over previous versions and the model tops non-reasoning AI models in open-source first.
This new model runs on consumer-grade hardware, specifically Apple's Mac Studio with the M3 Ultra chip, diverging from the typical data center requirements for AI. It is freely available for commercial use under the MIT license. According to AI researcher Awni Hannun, the model runs at over 20 tokens per second on a 512GB M3 Ultra. The company has made no formal announcement, just an empty README file and the model weights themselves. This stands in contrast to the carefully orchestrated product launches by Western AI companies.
Recommended read:
References :
- SiliconANGLE: DeepSeek today released an improved version of its DeepSeek-V3 large language model under a new open-source license.
- venturebeat.com: DeepSeek-V3 now runs at 20 tokens per second on Mac Studio, and that’s a nightmare for OpenAI
- AI News: Chinese AI innovation is reshaping the global technology landscape, challenging assumptions about Western dominance in advanced computing. Recent developments from companies like DeepSeek illustrate how quickly China has adapted to and overcome international restrictions through creative approaches to AI development.
- AI News: DeepSeek V3-0324 tops non-reasoning AI models in open-source first
- MarkTechPost: DeepSeek AI Unveils DeepSeek-V3-0324: Blazing Fast Performance on Mac Studio, Heating Up the Competition with OpenAI
- Cloud Security Alliance: Cloud Security Alliance: DeepSeek: Behind the Hype and Headlines
- Quinta?s weblog: DeepSeek-V3 now runs at 20 tokens per second on Mac Studio, and that’s a nightmare for OpenAI
- Composio: Deepseek v3-0324 vs. Claude 3.7 Sonnet
Jesus Rodriguez@TheSequence
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OpenAI has recently launched new audio features and tools aimed at enhancing the capabilities of AI agents. The releases include updated transcription and text-to-speech models, as well as tools for building AI agents. The audio models, named gpt-4o-transcribe and gpt-4o-mini-transcribe, promise better performance than the previous Whisper models, achieving lower word error rates across multiple languages and demonstrating improvements in challenging audio conditions like varying accents and background noise. These models are built on top of language models, making them potentially vulnerable to prompt injection attacks.
OpenAI also unveiled new tools for AI agent development, featuring a Responses API, built-in web search, file search, and computer use functionalities, alongside an open-source Agents SDK. Furthermore, they introduced o1 Pro, a new reasoning model, positioned for complex reasoning tasks, comes with a high cost, priced at $150 per million input tokens and $600 per million output tokens. The gpt-4o-mini-tts text-to-speech model introduces "steerability", allowing developers to control the tone and delivery of the model.
Recommended read:
References :
- Data Phoenix: OpenAI Launches New Tools for Building AI Agents
- Fello AI: OpenAI's new o1 Pro pricing strategy with a substantial markup compared to previous models.
- TheSequence: The Sequence Engineering #513: A Deep Dive Into OpenAI's New Tools for Developing AI Agents
- AI News | VentureBeat: OpenAI’s new voice AI model gpt-4o-transcribe lets you add speech to your existing text apps in seconds
- Windows Copilot News: Canadian Media Outlets Sue OpenAI Over Copyright Infringement
- www.techrepublic.com: Have Some Spare Cash? You’ll Need it for OpenAI’s New API
- bsky.app: Discussion of OpenAI's new o1-Pro API pricing and its implications for the AI community.
- Maginative: OpenAI Unveils New Audio Models to Make AI Agents Sound More Human Than Ever
- bsky.app: This blog post discusses OpenAI's new audio models, noting their promising features but also mentioning the issue of mixing instructions and data in the same token stream.
- www.techrepublic.com: This article reports on OpenAI's new text-to-speech and speech-to-text tools based on GPT-4o, highlighting their capabilities and potential applications but also mentioning a possible similar path for video.
- Analytics Vidhya: OpenAI's Audio Models: How to Access, Features, Applications, and More
- MarkTechPost: OpenAI Introduced Advanced Audio Models ‘gpt-4o-mini-tts’, ‘gpt-4o-transcribe’, and ‘gpt-4o-mini-transcribe’: Enhancing Real-Time Speech Synthesis and Transcription Capabilities for Developers
- Simon Willison's Weblog: OpenAI announced today, for both text-to-speech and speech-to-text. They're very promising new models, but they appear to suffer from the ever-present risk of accidental (or malicious) instruction following.
- THE DECODER: OpenAI releases new AI voice models with customizable speaking styles
- Composio: Finally, OpenAI gave in and launched a new agentic framework called Agents SDK.
- Last Week in AI: Our 204th episode with a summary and discussion of last week's big AI news! Recorded on 03/21/2025 Hosted by and . Feel free to email us your questions and feedback at and/or Read out our text newsletter and comment on the podcast at . https://discord.gg/nTyezGSKwP In this episode: Baidu launched two new multimodal models, Ernie 4.5 and Ernie X1, boasting competitive pricing and capabilities compared to Western counterparts like GPT-4.5 and DeepSeek R1. OpenAI introduced new audio models, including impressive speech-to-text and text-to-speech systems, and added O1 Pro to their developer API at high costs, reflecting efforts for more profitability. Nvidia and Apple announced significant hardware advancements, including Nvidia's future GPU plans and Apple's new Mac Studio offering that can run DeepSeek R1. DeepSeek employees are facing travel restrictions, suggesting China is treating its AI development with increased secrecy and urgency, emphasizing a wartime footing in AI competition.
Matt Marshall@AI News | VentureBeat
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OpenAI has unveiled a new suite of APIs and tools aimed at simplifying the development of AI agents for enterprises. The firm is releasing building blocks designed to assist developers and businesses in creating practical and dependable agents, defined as systems capable of independently accomplishing tasks. These tools are designed to address challenges faced by software developers in building production-ready applications, with the goal of automating and streamlining operations.
The newly launched platform includes the Responses API, which is a superset of the chat completion API, along with built-in tools, the OpenAI Agents SDK, and enhanced Observability features. Nikunj Handa and Romain Huet from OpenAI previewed new Agents APIs such as Responses, Web Search, and Computer Use, and also introduced a new Agents SDK. The Responses API is positioned as a more flexible foundation for developers working with OpenAI models, offering functionalities like Web Search, Computer Use, and File Search.
Recommended read:
References :
- Analytics Vidhya: New Tools for Building AI Agents: OpenAI Agent SDK, Response API and More
- Maginative: OpenAI Launches Responses API and Agents SDK for AI Agents
- TestingCatalog: OpenAI released new tools and APIs for AI agent development
- AI News | VentureBeat: OpenAI unveils Responses API, open source Agents SDK, letting developers build their own Deep Research and Operator
- The Tech Portal: OpenAI releases new APIs and tools for businesses to create AI agents
- Developer Tech News: OpenAI launches tools to build AI agents faster
- www.infoworld.com: OpenAI takes on rivals with new Responses API, Agents SDK
- techstrong.ai: OpenAI Introduces Developer Tools to Build AI Agents
- www.zdnet.com: Why OpenAI's new AI agent tools could change how you code
- www.itpro.com: OpenAI wants to simplify how developers build AI agents
- Latent.Space: Nikunj Handa and Romain Huet from OpenAI join us to preview their new Agents APIs: Responses, Web Search, and Computer Use, as well as a new agents SDK.
- Analytics Vidhya: Guardrails in OpenAI Agent SDK: Ensuring Integrity in Educational Support Systems
- Gradient Flow: Deep Dive into OpenAI’s Agent Ecosystem
- venturebeat.com: OpenAI’s strategic gambit: The Agents SDK and why it changes everything for enterprise AI
- pub.towardsai.net: This article focuses on the development of AI agents and the role of OpenAI in simplifying the process. It emphasizes the importance of OpenAI's new Agent SDK and its potential to transform how developers create systems that can autonomously handle complex, multi-step tasks.
- Windows Report: This article highlights OpenAI's new AI Agents and its promise to revolutionize AI development. It discusses the company's release of a comprehensive suite of tools and APIs designed to simplify the development of AI agents, capable of autonomously handling complex, multi-step tasks.
- Windows Copilot News: OpenAI has unveiled new tools and APIs designed to streamline the creation of AI agents for enterprises. These tools are aimed at transforming how developers construct AI systems capable of autonomously handling intricate, multi-step tasks.
- www.infoq.com: OpenAI Launches New API, SDK, and Tools to Develop Custom Agents
- Gradient Flow: AI This Week: New Agents, Open Models, and the Race for Productivity
- Upward Dynamism: AI Agents 101 – The Next Big Thing in AI You Shouldn’t Ignore
- Shelly Palmer: AI Agents Are Coming—and OpenAI Just Made Them Easier to Deploy
- Unite.AI: Developer Barriers Lowered as OpenAI Simplifies AI Agent Creation
Soumyadeep Sarkar@The Tech Portal
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OpenAI is reportedly planning to launch specialized AI agents with hefty price tags, ranging from $2,000 to $20,000 per month. These agents are designed to handle complex, high-value tasks for professionals and organizations, targeting high-income knowledge workers, software developers, and researchers. The pricing reflects the immense computational resources, specialized training, and potential for high-value ROI that these agents offer. The move signals a shift towards highly specialized AI services tailored to specific professional needs.
These AI agents are not standard chatbots but are custom-built for specific, high-value tasks. For example, a high-income knowledge worker agent ($2,000/month) could handle complex research, while a software developer agent ($10,000/month) and a PhD-level research agent ($20,000/month) would cater to advanced needs in those respective fields. The high costs are justified by the extensive server infrastructure, massive datasets for training, and the potential for significant savings or revenue increases for businesses.
Recommended read:
References :
- Fello AI: OpenAI is about to shake up the AI market again—but this time, they’re taking things to a whole new level. Recent leaks reveal that OpenAI is planning to launch highly specialized AI agents with price tags that range from eye-watering to downright shocking. Imagine paying $20,000 a month for an AI assistant. Yep, you read
- PCMag Middle East ai: If successful, these expensive, 'PhD-level' AI systems could radically alter the workforce. Would you hire an AI for $20,000 or work alongside one? OpenAI is mulling over charging that much for "PhD-level" AI systems, The Information. While it sounds like a lot, keep in mind that human PhD students are only
- THE DECODER: OpenAI reportedly prepares to launch AI agents with monthly fees up to $20,000
- Towards AI: OpenAI Planning to Launch Specialized AI Agents
- www.windowscentral.com: Would you pay $20,000/month for OpenAI’s specialized AI agents with intelligence? wait for DeepSeek to distill it and give it to me for free
- Source: Recent leaks reveal that OpenAI is planning to launch highly specialized AI agents with price tags that range from eye-watering to downright shocking.
- The Tech Portal: OpenAI is, according to a report from The Information, gearing up to launch highly specialized AI agents with prices ranging from $2,000 to $20,000 per month.
- techstrong.ai: OpenAI mulls $20,000 monthly agent for ‘PhD-level research’. The company is also mulling AI agents for tailored applications such as a software developer for sorting and ranking sales leads and software engineering for $10,000 monthly. Another "high-income knowledge worker" agent would cost [...]
- TestingCatalog: OpenAI released new tools and APIs for AI agent development
- Simon Willison's Weblog: OpenAI's other big announcement today ( ) - a Python library ( ) for building "agents", which is a replacement for their previous research project.
- THE DECODER: OpenAI expands its developer platform with new APIs and tools designed to help create more capable autonomous AI systems.
- eWEEK: OpenAI's new Responses API & Agents SDK simplify AI agent development, enabling businesses to automate complex workflows with built-in tools.
- CIO Dive - Latest News: Describes the expanded toolkit for AI agent development.
- The Tech Portal: OpenAI has introduced a new set of APIs and tools to empower businesses to create AI agents
- www.techradar.com: I test AI agents for a living and these are the 5 reasons you should let tools like ChatGPT Deep Research get things done for you
- Developer Tech News: OpenAI releases new tools to build AI agents faster.
- Analytics Vidhya: New Tools for Building AI Agents: OpenAI Agent SDK, Response API and More
- techstrong.ai: OpenAI Introduces Developer Tools to Build AI Agents
- www.zdnet.com: Why OpenAI's new AI agent tools could change how you code
- www.computerworld.com: New tools from OpenAI help companies create their own AI agents
- Gradient Flow: Secure Your Spot at the AI Agent Conference
- OODAloop: OpenAI launches new tools to help businesses build AI agents
- www.itpro.com: OpenAI wants to simplify how developers build AI agents
Alyssa Hughes (2ADAPTIVE LLC dba 2A Consulting)@Microsoft Research
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Microsoft has announced two major advancements in both quantum computing and artificial intelligence. The company unveiled Majorana 1, a new chip containing topological qubits, representing a key milestone in its pursuit of stable, scalable quantum computers. This approach uses topological qubits, which are less susceptible to environmental noise, aiming to overcome the long-standing instability issues that have challenged the development of reliable quantum processors. The company says it is on track to build a new kind of quantum computer based on topological qubits.
Microsoft is also introducing Muse, a generative AI model designed for gameplay ideation. Described as a first-of-its-kind World and Human Action Model (WHAM), Muse can generate game visuals and controller actions. The company says it is on track to build a new kind of quantum computer based on topological qubits. Microsoft’s team is developing research insights to support creative uses of generative AI models.
Recommended read:
References :
- blogs.microsoft.com: Microsoft unveils Majorana 1
- Microsoft Research: Introducing Muse: Our first generative AI model designed for gameplay ideation
- www.technologyreview.com: Microsoft announced today that it has made significant progress in its 20-year quest to make topological quantum bits, or qubits—a special approach to building quantum computers that could make them more stable and easier to scale up.
- blogs.microsoft.com: Microsoft unveils Majorana 1
- The Quantum Insider: Microsoft's Majorana topological chip is an advance 17 years in the making.
- Microsoft Research: Microsoft announced the creation of the first topoconductor and first QPU architecture with a topological core. Dr. Chetan Nayak, a technical fellow of Quantum Hardware at the company, discusses how the breakthroughs are redefining the field of quantum computing.
- www.theguardian.com: Chip is powered by world’s first topoconductor, which can create new state of matter that is not solid, liquid or gas Quantum computers could be built within years rather than decades, according to Microsoft, which has unveiled a breakthrough that it said could pave the way for faster development.
- www.microsoft.com: Introducing Muse: Our first generative AI model designed for gameplay ideation
- thequantuminsider.com: Microsoft’s Majorana Topological Chip — An Advance 17 Years in The Making
- www.analyticsvidhya.com: Microsoft’s Majorana 1: Satya Nadella’s Bold Bet on Quantum Computing
- PCMag Middle East ai: Microsoft: Our 'Muse' Generative AI Can Simulate Video Games
- arstechnica.com: Microsoft builds its first qubits lays out roadmap for quantum computing
- WebProNews: Microsoft unveils quantum computing breakthrough with Majorana 1 chip.
- Analytics Vidhya: Microsoft’s Majorana 1: Satya Nadella’s Bold Bet on Quantum Computing
- venturebeat.com: Microsoft’s Muse AI can design video game worlds after watching you play
- THE DECODER: Microsoft's new AI model Muse can generate gameplay and might preserve classic games.
- Source Asia: Microsoft unveiled Majorana 1, the world's first quantum processor powered by topological qubits.
- the-decoder.com: Microsoft's new AI model "Muse" can generate gameplay and might preserve classic games
- Source: A couple reflections on the quantum computing breakthrough we just announced…
- www.it-daily.net: Microsoft presents Majorana 1 quantum chip
- techinformed.com: Microsoft announces quantum computing chip it says will bring quantum sooner
- cyberinsider.com: Microsoft Unveils First Quantum Processor With Topological Qubits
- Daily CyberSecurity: Microsoft's Quantum Breakthrough: Majorana 1 and the Future of Computing
- heise online English: Microsoft calls new Majorana chip a breakthrough for quantum computing Microsoft claims that Majorana 1 is the first quantum processor based on topological qubits. It is designed to enable extremely powerful quantum computers.
- www.eweek.com: On Wednesday, Microsoft introduced Muse, a generative AI model designed to transform how games are conceptualized, developed, and preserved.
- www.verdict.co.uk: Microsoft debuts Majorana 1 chip for quantum computing
- singularityhub.com: The company believes devices with a million topological qubits are possible.
- techvro.com: This article discusses Microsoft’s quantum computing chip and its potential to revolutionize computing.
- Talkback Resources: Microsoft claims quantum breakthrough with Majorana 1 computer chip [crypto]
- TechInformed: Microsoft has unveiled its new quantum chip, Majorana 1, which it claims will enable quantum computers to solve meaningful, industrial-scale problems within years rather than… The post appeared first on .
- shellypalmer.com: Quantum Leap Forward: Microsoft’s Majorana 1 Chip Debuts
- Runtime: Article from Runtime News discussing Microsoft's quantum 'breakthrough'.
- CyberInsider: Microsoft Unveils First Quantum Processor With Topological Qubits
- Shelly Palmer: This article discusses Microsoft's quantum computing breakthrough with the Majorana 1 chip.
- securityonline.info: Microsoft’s Quantum Breakthrough: Majorana 1 and the Future of Computing
- www.heise.de: Microsoft calls new Majorana chip a breakthrough for quantum computing
- SingularityHub: The company believes devices with a million topological qubits are possible.
- www.sciencedaily.com: Microsoft's Majorana 1 is a quantum processor that is based on a new material called Topoconductor.
- Popular Science: New state of matter powers Microsoft quantum computing chip
- eWEEK: Microsoft's announcement of Muse, a generative AI model to help game developers, not replace them.
- Verdict: Microsoft debuts Majorana 1 chip for quantum computing
- The Register: Microsoft says it has developed a quantum-computing chip made with novel materials that is expected to enable the development of quantum computers for meaningful, real-world applications within – you guessed it – years rather than decades.
- news.microsoft.com: Microsoft’s Majorana 1 chip carves new path for quantum computing
- The Microsoft Cloud Blog: News article reporting on Microsoft's Majorana 1 chip.
- thequantuminsider.com: Microsoft’s Topological Qubit Claim Faces Quantum Community Scrutiny
- bsky.app: After 17 years of research, Microsoft unveiled its first quantum chip using topoconductors, a new material enabling a million qubits. Current quantum computers only have dozens or hundreds of qubits. This breakthrough could revolutionize AI, cryptography, and other computation-heavy fields.
- medium.com: Meet Majorana 1: The Quantum Chip That’s Too Cool for Classical Computers
- chatgptiseatingtheworld.com: Microsoft announces Majorana 1 quantum chip
- NextBigFuture.com: Microsoft Majorana 1 Chip Has 8 Qubits Right Now with a Roadmap to 1 Million Raw Qubits
- Dataconomy: Microsoft unveiled its Majorana 1 chip on Wednesday, claiming it demonstrates that quantum computing is "years, not decades" away from practical application, aligning with similar forecasts from Google and IBM regarding advancements in computing technology.
- thequantuminsider.com: Microsoft’s Majorana 1 Chip Carves New Path for Quantum Computing
- Anonymous ???????? :af:: Quantum computing may be just years away, with new chips from Microsoft and Google sparking big possibilities.
- www.sciencedaily.com: Topological quantum processor marks breakthrough in computing
- thequantuminsider.com: The Conversation: Microsoft Just Claimed a Quantum Breakthrough. A Quantum Physicist Explains What it Means
- www.sciencedaily.com: Breakthrough may clear major hurdle for quantum computers
- The Quantum Insider: Microsoft Just Claimed a Quantum Breakthrough. A Quantum Physicist Explains What it Means
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