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
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
Jaime Hampton@BigDATAwire
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NVIDIA's GTC 2025 showcased significant advancements in AI, marked by the unveiling of the Blackwell Ultra GPU and the Vera Rubin roadmap extending through 2027. CEO Jensen Huang emphasized a 40x AI performance leap with the Blackwell platform compared to its predecessor, Hopper, highlighting its crucial role in inference workloads. The conference also introduced open-source ‘Dynamo’ software and advancements in humanoid robotics, demonstrating NVIDIA’s commitment to pushing AI boundaries.
The Blackwell platform is now in full production, meeting incredible customer demand, and the Vera Rubin roadmap details the next generation of superchips expected in 2026. Huang also touted new DGX systems, highlighting the push towards photonic switches to handle growing data demands efficiently. Blackwell Ultra will offer 288GB of memory. NVIDIA claims the GB300 chip brings 1.5x more AI performance than the NVIDIA GB200. These advancements aim to bolster AI reasoning capabilities and energy efficiency, positioning NVIDIA to maintain its dominance in AI infrastructure.
Recommended read:
References :
- AI News | VentureBeat: Nvidia launches Blackwell RTX Pro for workstations and servers
- AIwire: Nvidia’s DGX AI Systems Are Faster and Smarter Than Ever
- Analytics Vidhya: 10 NVIDIA GTC 2025 Announements that You Must Know
- venturebeat.com: Nvidia’s GTC 2025 keynote: 40x AI performance leap, open-source ‘Dynamo’, and a walking Star Wars-inspired ‘Blue’ robot
- BigDATAwire: Nvidia Touts Next Generation GPU Superchip and New Photonic Switches
- www.laptopmag.com: "I'm the chief revenue destroyer": Nvidia's Jensen Huang says new Blackwell chips make previous-gen feel obsolete
- AIwire: The GTC 2025 happening in San Jose, Calif., has become one of the marquee events in the tech world. It has grabbed the attention of everyone from industry leaders and developers to AI enthusiasts and even those who remain skeptical about AI’s potential.
- BigDATAwire: Nvidia unveils updates to its AI infrastructure portfolio, including its next-generation datacenter GPU, the NVIDIA Blackwell Ultra.
- BigDATAwire: Nvidia Preps for 100x Surge in Inference Workloads, Thanks to Reasoning AI Agents
- Gradient Flow: Overview As I sat watching Jensen Huang’s keynote at Nvidia’s recent GTC, I was struck once again by how this annual event has evolved from a graphics card showcase into something far more consequential for global markets.
- Analytics Vidhya: Nvidia’s annual GPU Technology Conference (GTC) has long been a highlight for the AI community. At this year’s event, Nvidia CEO Jensen Huang unveiled a roadmap of new products and innovations aimed at scaling up artificial intelligence.
- NVIDIA Newsroom: AI Factories Are Redefining Data Centers and Enabling the Next Era of AI
- AIwire: The GTC 2025 happening in San Jose, Calif., has become one of the marquee events in the tech world.
- BigDATAwire: The boundaries between artificial intelligence and the physical world are dissolving. AI systems are becoming increasingly adept at perceiving, interacting, analyzing, and responding to their physical environments. In this AI The post appeared first on .
- Data Phoenix: NVIDIA's new Blackwell Ultra platform delivers significantly enhanced AI computing power for reasoning and agentic AI applications.
- Maginative: How NVIDIA Is Building the Operating System for Physical AI
- insideAI News: Highlights from the Nvidia extravaganza with an AI-everywhere theme. We review the conference, discussing everything from the new AI compute industry landscape
- The Next Platform: Reports on how Nvidia is turning its AI eye to the enterprise.
- Last Week in AI: Nvidia's GTC 2025 keynote focused on the transition to AI-driven computing and the development of AI factories.
- BigDATAwire: Reporter’s Notebook: AI Hype and Glory at Nvidia GTC 2025
Andrew Liszewski@The Verge
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Amazon has announced Alexa+, a new, LLM-powered version of its popular voice assistant. This upgraded version will cost $19.99 per month, but will be included at no extra cost for Amazon Prime subscribers. Alexa+ boasts enhanced AI agent capabilities, enabling users to perform tasks like booking Ubers, creating study plans, and sending texts via voice command. These new features are intended to provide a more seamless and natural conversational experience. Early access to Alexa+ will begin in late March 2025 for customers with eligible Echo Show devices in the United States.
Amazon emphasizes that Alexa+ utilizes a "model agnostic" system, drawing on Amazon Bedrock and employing various AI models, including Amazon Nova and those from Anthropic, to optimize performance. This approach allows Alexa+ to choose the best model for each task, leveraging specialized "experts" for orchestrating services. With seamless integration into tens of thousands of devices and services, including news sources like Time, Reuters, and the Associated Press, Alexa+ provides accurate and real-time information.
Recommended read:
References :
- The Verge: Alexa Plus’ AI upgrades cost $19.99, but it’s all free with Prime
- bsky.app: Amazon has announced Alexa+, an LLM-powered version if Alexa that will cost $19.99 per month or free with Prime. It will provide typical AI agent capabilities like booking Ubers, creating study plans or texting a friend, all via voice command. Siri is now dead last when it comes to AI assistants. https://apnews.com/article/amazon-alexa-fee-ai-assistant-017c17bddfa6742d1e78873cdda3663f#
- THE DECODER: Alexa+: Amazon's new AI assistant launches for $19.99, free with Prime
- bsky.app: Amazon has announced Alexa+, an LLM-powered version if Alexa that will cost $19.99 per month or free with Prime.
- Techstrong.ai: Amazon’s New Alexa+ Is GenAI-Powered
- Dataconomy: Amazon revamps Alexa.com and updates its app
- techcrunch.com: Amazon Alexa+ can do your grocery shopping, too
- PCWorld: A new Alexa AI is coming: What it will cost and when you can try it
- Dataconomy: Amazon unveils AI-powered Alexa Plus
- PCMag Middle East ai: Amazon showed off the upgraded Alexa+ at a press event in New York City, revealing it can choose from a whole collection of generative AI models to fulfill your requests in a more conversational way. We got to check her out in action.
- Shelly Palmer: Amazon Unveils Alexa+
- PCMag Middle East ai: Amazon's AI-enhanced Alexa+ will be coming to virtually all Echo devices made in the last five years. That doesn't bode well if you were hoping for new models.
- Maginative: Amazon Unveils Alexa+: A Smarter, More Conversational AI Assistant
- AI News | VentureBeat: Rebuilding Alexa: How Amazon is mixing models, agents and browser-use for smarter AI
- techcrunch.com: Amazon’s new and improved Alexa experience, Alexa+, starts at $19.99 per month, or free for Amazon Prime subscribers.
- SiliconANGLE: Amazon debuts LLM-powered Alexa+ with expanded automation features
- Play HT: Overview of the features and capabilities of Amazon's new AI-powered Alexa+ service.
Esra Kayabali@AWS News Blog
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Anthropic has launched Claude 3.7 Sonnet, their most advanced AI model to date, designed for practical use in both business and development. The model is described as a hybrid system, offering both quick responses and extended, step-by-step reasoning for complex problem-solving. This versatility eliminates the need for separate models for different tasks. The company emphasized Claude 3.7 Sonnet’s strength in coding tasks. The model's reasoning capabilities allow it to analyze and modify complex codebases more effectively than previous versions and can process up to 128K tokens.
Anthropic also introduced Claude Code, an agentic coding tool, currently in limited research preview. The tool promises to revolutionize coding by automating parts of a developer's job. Claude 3.7 Sonnet is accessible across all Anthropic plans, including Free, Pro, Team, and Enterprise, and via the Anthropic API, Amazon Bedrock, and Google Cloud's Vertex AI. Extended thinking mode is reserved for paid subscribers. Pricing is set at $3 per million input tokens and $15 per million output tokens. Anthropic stated they reduced unnecessary refusals by 45% compared to its predecessor.
Recommended read:
References :
- AI & Machine Learning: Anthropic's Claude 3.7 Sonnet available on Vertex AI
- Fello AI: Claude 3.7 Sonnet is a new release from Anthropic
- PCMag Middle East ai: PCMag highlights the key features and trends embodied by Claude 3.7 Sonnet.
- venturebeat.com: Claude 3.7 Sonnet aims to compete with other major AI models
- Analytics Vidhya: Anthropic's new model can manage two types of information processing at once
- Analytics Vidhya: Claude 3.7 Sonnet vs Grok 3: Which LLM is Better at Coding?
- Digital Information World: Digital Information World reports on the launch of Claude 3.7 Sonnet and its competitive landscape.
- Shelly Palmer: Claude 3.7 Sonnet: Coding Meets Reasoning
- OODAloop: A new generation of AIs: Claude 3.7 and Grok 3
- AWS News Blog: Anthropic’s Claude 3.7 Sonnet hybrid reasoning model is now available in Amazon Bedrock
- Analytics Vidhya: Claude 3.7 Sonnet: The Best Coding Model Yet?
- blog.jetbrains.com: Anthropic's Claude 3.7 Sonnet is a new AI reasoning model, described as a hybrid system blending fast responses with detailed reasoning, adjustable for various tasks. It is particularly strong in coding and demonstrates remarkable accuracy on real-world software tasks. It is designed to handle both quick answers and more challenging tasks.
- Analytics Vidhya: Artificial intelligence is immensely revolutionizing technology, providing performance enhancements, tweaks, and improvements with each generation of models. One of its latest developments is the Anthropics Claude 3.7 Sonnet- a sophisticated AI model that primes itself for changing creative, analytical, and coding tasks. It offers new improved Claude code with great tools designed for automating and
- Towards AI: TAI #141: Claude 3.7 Sonnet; Software Dev Focus in Anthropic’s First Thinking Model headline feature is its “extended thinking� mode, where the model now explicitly shows multi-step reasoning before finalizing answers.
Fiona Jackson@eWEEK
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Nvidia has launched Signs, a new AI-powered platform designed to teach American Sign Language (ASL). Developed in partnership with the American Society for Deaf Children and creative agency Hello Monday, Signs aims to bridge communication gaps by providing an interactive web platform for ASL learning. The platform utilizes AI to analyze users' movements through their webcams, offering real-time feedback and instruction via a 3D avatar demonstrating signs. It currently features a validated library of 100 signs, with plans to expand to 1,000 by collecting 400,000 video clips.
Signs is designed to support sign language learners of all levels and also allows contributors to add to Nvidia's growing ASL open-source video dataset. The dataset will be validated by fluent ASL users and interpreters. This dataset, slated for release later this year, will be a valuable resource for building accessible technologies like AI agents, digital human applications, and video conferencing tools. While the current focus is on hand movements and finger positions, future versions aim to incorporate facial expressions, head movements, and nuances like slang and regional variations.
Recommended read:
References :
- NVIDIA Newsroom: It’s a Sign: AI Platform for Teaching American Sign Language Aims to Bridge Communication Gaps
- eWEEK: Nvidia’s Signs AI Teaches American Sign Language to Children “As Young as Six to Eight Months Old”
- www.eweek.com: Nvidia’s Signs AI Teaches American Sign Language to Children “As Young as Six to Eight Months Old”
- WebProNews: Nvidia’s Jensen Huang Rebuffs Investor Panic Over DeepSeek Sell-Off: “They Got It Wrong”
- NVIDIA Newsroom: Calling All Creators: GeForce RTX 5070 Ti GPU Accelerates Generative AI and Content Creation Workflows in Video Editing, 3D and More
- blogs.nvidia.com: It’s a Sign: AI Platform for Teaching American Sign Language Aims to Bridge Communication Gaps
- OODAloop: Nvidia helps launch AI platform for teaching American Sign Language
- AI News | VentureBeat: Nvidia helps launch AI platform for teaching American Sign Language
- SiliconANGLE: Nvidia uses AI to release Signs, a sign language teaching platform
- oodaloop.com: Nvidia helps launch AI platform for teaching American Sign Language
- siliconangle.com: Nvidia uses AI to release Signs, a sign language teaching platform
- Quartz: What Nvidia CEO Jensen Huang thinks about DeepSeek
- ChinaTechNews.com: Opinion: Yes, Nvidia Stock Is Still a Buy, Even Now
Esra Kayabali@AWS News Blog
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Anthropic has launched Claude 3.7 Sonnet, a new AI reasoning model, along with Claude Code, an agentic coding tool. Claude 3.7 Sonnet stands out as the market’s first hybrid reasoning model, uniquely capable of delivering near-instant responses while also providing detailed, step-by-step reasoning. This dual capability allows users to control how much time the AI spends "thinking" before generating a response.
Claude 3.7 Sonnet represents Anthropic's most intelligent model to date and offers significant advancements in coding, agentic capabilities, reasoning, and content generation. The model can manage two types of information processing simultaneously, making it ideal for customer-facing AI agents and complex AI workflows. Users can access Claude 3.7 Sonnet on all plans, including Free, Pro, Team, and Enterprise, as well as through the Anthropic API, Amazon Bedrock, and Google Cloud’s Vertex AI. It is priced the same as its predecessors, costing $3 per million input tokens and $15 per million output tokens.
Recommended read:
References :
- Fello AI: Anthropic’s Claude 3.7 Sonnet Is Out – And It’s Another Game Changer!
- PCMag Middle East ai: The model embodies the latest AI chatbot tech, marked by its ability to think through problems step by step, a 'hybrid' approach, and agentic coding capabilities with Claude Code.
- Analytics Vidhya: Claude Sonnet 3.7: Performance, How to Access and More
- AI & Machine Learning: Announcing Claude 3.7 Sonnet, Anthropic’s first hybrid reasoning model, is available on Vertex AI
- AWS News Blog: Claude 3.7 Sonnet, the first hybrid reasoning model, is now available in Amazon Bedrock.
- venturebeat.com: Anthropic’s Claude 3.7 Sonnet takes aim at OpenAI and DeepSeek in AI’s next big battle
- Analytics Vidhya: Claude 3.7 Sonnet vs Grok 3: Which LLM is Better at Coding?
- OODAloop: A new generation of AIs: Claude 3.7 and Grok 3
- Shelly Palmer: Claude 3.7 Sonnet: Coding Meets Reasoning
- Analytics Vidhya: AI-powered coding assistants are becoming more advanced by the day. One of the most promising models for software development, is Anthropic’s latest, Claude 3.7 Sonnet.
- Techstrong.ai: Anthropic Readies ‘Most Intelligent’ AI Model Yet
- Towards AI: Anthropic Claude 3.7 Sonnet’s headline feature is its “extended thinking� mode, where the model now explicitly shows multi-step reasoning before finalizing answers. Anthropic noted that it focuses its reinforcement learning training on real-world code problems relative to math problems and competition code (a slight dig at OpenAI’s o3 Codeforces focus here).
- Analytics Vidhya: Claude 3.7 Sonnet and Qwen 2.5 Coder 32B Instruct are leading AI models for programming and code generation. Qwen 2.5 stands out for its efficiency and clear coding style, while Claude 3.7 Sonnet shines in contextual understanding and adaptability.
- Data Phoenix: Anthropic launches Claude 3.7 Sonnet, the first hybrid reasoning AI that offers both quick responses and visible step-by-step thinking. It excels at coding tasks and comes with Claude Code, a new terminal tool for developers.
- Analytics Vidhya: AI-powered coding assistants are becoming more advanced by the day. One of the most promising models for software development, is Anthropic’s latest, Claude 3.7 Sonnet.
Emily Forlini@PCMag Middle East ai
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Google DeepMind has announced the pricing for its Veo 2 AI video generation model, making it available through its cloud API platform. The cost is set at $0.50 per second, which translates to $30 per minute or $1,800 per hour. While this may seem expensive, Google DeepMind researcher Jon Barron compared it to the cost of traditional filmmaking, noting that the blockbuster "Avengers: Endgame" cost around $32,000 per second to produce.
Veo 2 aims to create videos with realistic motion and high-quality output, up to 4K resolution, based on simple text prompts. While it's not the cheapest option compared to alternatives like OpenAI's Sora, which costs $200 per month, Google is targeting filmmakers and studios with larger budgets. The primary customers for Veo are filmmakers and studios, who typically have bigger budgets than film hobbyists. They would run Veo throughVertexAI, Google's platform for training and deploying advanced AI models."Veo 2 understands the unique language of cinematography: ask it for a genre, specify a lens, suggest cinematic effects and Veo 2 will deliver," Google says.
Recommended read:
References :
- Shelly Palmer: Shelly Palmer discusses Google’s Veo 2, an AI video generator priced at 50 cents a second.
- www.livescience.com: LiveScience reports Google's AI is now 'better than human gold medalists' at solving geometry problems.
- PCMag Middle East ai: Google's Veo 2 Costs $1,800 Per Hour for AI-Generated Videos
- THE DECODER: Google Deepmind sets pricing for Veo 2 AI video generation
- Dataconomy: Google Veo 2 pricing: 50 cents per second of AI-generated video
- TechCrunch: Reports Google’s new AI video model Veo 2 will cost 50 cents per second.
Shelly Palmer@Shelly Palmer
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AI agents are poised to revolutionize daily life and security, representing an evolutionary leap beyond generative AI. These agents, capable of autonomous action, promise to automate complex tasks and reshape how we interact with technology. Experts predict widespread adoption across various sectors, impacting everything from business operations to personal activities like online shopping and travel planning. Tools are already emerging from tech giants like OpenAI, Amazon, Microsoft, and Google, initially targeting enterprise users but with eventual applications for everyday life.
However, the rise of AI agents also brings concerns, particularly in the realm of cybersecurity. Microsoft recently expanded its Security Copilot with AI agents to automate security tasks, but cybersecurity professionals emphasize the need for strict oversight and governance. While AI agents can assist with alert triage and investigation, they are not meant to replace human decision-making. Concerns exist that poorly managed AI agents could generate false positives, increase workloads, and become vulnerable non-human identities, highlighting the importance of careful monitoring and human oversight in their deployment.
Recommended read:
References :
- Bernard Marr: How AI Agents Will Revolutionize Your Day-To-Day Life
- SecureWorld News: Microsoft Expands Security Copilot with AI Agents
- Microsoft Security Blog: Microsoft unveils Microsoft Security Copilot agents and new protections for AI
- Salesforce: 75% of Retailers Say AI Agents Will Be Essential to Compete
- Shelly Palmer: OpenAI yesterday announced it will adopt rival Anthropic's MCP across its product line. The company will integrate MCP support into its Agents SDK immediately.
staff@insideAI News
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MLCommons has released the latest MLPerf Inference v5.0 benchmark results, highlighting the growing importance of generative AI in the machine learning landscape. The new benchmarks feature tests for large language models (LLMs) like Llama 3.1 405B and Llama 2 70B Interactive, designed to evaluate how well systems perform in real-world applications requiring agentic reasoning and low-latency responses. This shift reflects the industry's increasing focus on deploying generative AI and the need for hardware and software optimized for these demanding workloads.
The v5.0 results reveal significant performance improvements driven by advancements in both hardware and software. The median submitted score for Llama 2 70B has doubled compared to a year ago, and the best score is 3.3 times faster than Inference v4.0. These gains are attributed to innovations like support for lower-precision computation formats such as FP4, which allows for more efficient processing of large models. The MLPerf Inference benchmark suite evaluates machine learning performance in a way that is architecture-neutral, reproducible, and representative of real-world workloads.
Recommended read:
References :
- insideAI News: Today, MLCommons announced new results for its MLPerf Inference v5.0 benchmark suite, which delivers machine learning (ML) system performance benchmarking. The rorganization said the esults highlight that the AI community is focusing on generative AI ....
- AIwire: MLPerf v5.0 Reflects the Shift Toward Reasoning in AI Inference
- ServeTheHome: The new MLPerf Inference v5.0 results are out with new submissions for configurations from NVIDIA, Intel Xeon, and AMD Instinct MI325X The post appeared first on .
- insidehpc.com: MLCommons Releases MLPerf Inference v5.0 Benchmark Results
- www.networkworld.com: New MLCommons benchmarks to test AI infrastructure performance
- SLVIKI.ORG: MLCommons Launches Next-Gen AI Benchmarks to Test the Limits of Generative Intelligence
Neel Patel@AI & Machine Learning
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Google Cloud and NVIDIA are collaborating to accelerate AI in healthcare by leveraging the NVIDIA BioNeMo framework and Google Kubernetes Engine (GKE). This partnership aims to speed up drug discovery and development by providing powerful infrastructure and tools for medical and pharmaceutical researchers. The NVIDIA BioNeMo platform is a generative AI framework enabling researchers to model and simulate biological sequences and structures, placing major demands for computing with powerful GPUs and scalable infrastructure.
With BioNeMo running on GKE, medical organizations can achieve breakthroughs and new research with levels of speed and effectiveness that were previously unheard of. Google DeepMind has also introduced Gemini Robotics, AI models built on Google's Gemini foundation model, enhancing robotics by integrating vision, language, and action. While AI isn't seen as a "silver bullet," Google DeepMind's Demis Hassabis emphasizes its undeniable benefits within five to ten years, as evidenced by developments like Alphafold 3, which accurately predicts the structure of molecules like DNA and RNA.
Recommended read:
References :
- Compute: Accelerating AI in healthcare using NVIDIA BioNeMo Framework and Blueprints on GKE
- IEEE Spectrum: With Gemini Robotics, Google Aims for Smarter Robots
Ellie Ramirez-Camara@Data Phoenix
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OpenAI's new image generation tool, integrated into ChatGPT 4o, is experiencing immense popularity, leading to temporary limitations on GPU usage. CEO Sam Altman acknowledged the issue, stating that their GPUs are "melting" due to the overwhelming demand. This surge highlights the significant computational resources required for complex AI image generation, pushing the limits of current infrastructure. The new model within ChatGPT is designed to replace DALL·E as the default image generator and aims to provide superior realism and speed compared to its predecessor.
The company is implementing measures to manage the high demand, including rate-limiting image requests. OpenAI delayed the new GPT-4o image generation feature for free users due to high demand. While there's no word on specific limits for paid users, it's expected they are also experiencing slowdowns. The popularity of Ghibli-style images has even flooded social media, prompting discussions about artistic integrity and the physical constraints of supporting such intensive computational tasks at scale.
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References :
- Shelly Palmer: OpenAI's image generation has gone so viral that even if you haven’t tried it, you probably know exactly what you’re missing — hyper-realistic AI images created in seconds, now throttled because the GPUs can’t take the heat.
- Data Phoenix: OpenAI announced GPT-4o's new image generation capabilities this Tuesday. The GPT-4o is set to replace DALL·E as the default image generation model.
- www.infoq.com: OpenAI released a new version of GPT-4o with native image generation capability. The model can modify uploaded images or create new ones from prompts and exhibits multi-turn consistency when refining images and improved generation of text in images.
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