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GT Protocol AI Digest No.82: AI Starts Running the System Here are five stories worth your attention 👇 💻 NVIDIA Pushes AI to Your Device NVIDIA showcased RTX PCs and DGX systems that can run AI models and agents locally. The shift is important. AI is no longer tied...

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GT Protocol

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40,085 次观看 • 5 个月前 •via X (Twitter)

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GT Protocol AI Digest No.86: Claude Just Leveled Up Here are five stories worth your attention 👇 🧠 Claude Opus Gets an Upgrade Anthropic released a new Opus model with stronger performance in coding and cybersecurity. The update, alongside its Mythos Preview, points toward more advanced and autonomous AI systems. 🎨 Canva Goes Full Prompt Mode Canva’s AI 2.0 update expands prompt-based editing across the entire design process. Users can now generate and modify layouts, images, and text through simple instructions. 💻 Gemini Moves to Desktop Google launched a native Gemini app for macOS, bringing AI directly into the operating system. Assistants are becoming persistent tools, not just browser features. 🧬 AI Gets Specialized in Biology OpenAI introduced a biology-focused model designed for scientific workflows. AI is moving beyond general use into domain-specific applications. ⚙️ Intel Repositions in the AI Race Intel is aligning with Google’s infrastructure strategy and exploring ties to Musk’s chip projects. The competition is shifting toward hardware and large-scale compute. Read the full digest on our Medium 👉
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GT Protocol AI Digest No.86: Claude Just Leveled Up Here are five stories worth your attention 👇 🧠 Claude Opus Gets an Upgrade Anthropic released a new Opus model with stronger performance in coding and cybersecurity. The update, alongside its Mythos Preview, points toward more advanced and autonomous AI systems. 🎨 Canva Goes Full Prompt Mode Canva’s AI 2.0 update expands prompt-based editing across the entire design process. Users can now generate and modify layouts, images, and text through simple instructions. 💻 Gemini Moves to Desktop Google launched a native Gemini app for macOS, bringing AI directly into the operating system. Assistants are becoming persistent tools, not just browser features. 🧬 AI Gets Specialized in Biology OpenAI introduced a biology-focused model designed for scientific workflows. AI is moving beyond general use into domain-specific applications. ⚙️ Intel Repositions in the AI Race Intel is aligning with Google’s infrastructure strategy and exploring ties to Musk’s chip projects. The competition is shifting toward hardware and large-scale compute. Read the full digest on our Medium 👉

GT Protocol

37,782 次观看 • 4 个月前

Unsloth AI and NVIDIA are Revolutionizing Local LLM Fine-Tuning: From RTX Desktops to DGX Spark Fine-tune popular AI models faster with Unsloth on NVIDIA RTX AI PCs such as GeForce RTX desktops and laptops to RTX PRO workstations and the new DGX Spark to build personalized assistants for coding, creative work, and complex agentic workflows. The landscape of modern AI is shifting. We are moving away from a total reliance on massive, generalized cloud models and entering the era of local, agentic AI. Whether it is tuning a chatbot to handle hyper-specific product support or building a personal assistant that manages intricate schedules, the potential for generative AI on local hardware is boundless. However, developers face a persistent bottleneck: How do you get a Small Language Model (SLM) to punch above its weight class and respond with high accuracy for specialized tasks? The answer is Fine-Tuning, and the tool of choice is Unsloth. Unsloth provides an easy and high-speed method to customize models. Optimized for efficient, low-memory training on NVIDIA GPUs, Unsloth scales effortlessly from GeForce RTX desktops and laptop all the way to the DGX Spark, the world’s smallest AI supercomputer...... Full analysis: NVIDIA NVIDIA AI NVIDIA AIDev NVIDIAnewsroom Unsloth AI Unsloth
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Unsloth AI and NVIDIA are Revolutionizing Local LLM Fine-Tuning: From RTX Desktops to DGX Spark Fine-tune popular AI models faster with Unsloth on NVIDIA RTX AI PCs such as GeForce RTX desktops and laptops to RTX PRO workstations and the new DGX Spark to build personalized assistants for coding, creative work, and complex agentic workflows. The landscape of modern AI is shifting. We are moving away from a total reliance on massive, generalized cloud models and entering the era of local, agentic AI. Whether it is tuning a chatbot to handle hyper-specific product support or building a personal assistant that manages intricate schedules, the potential for generative AI on local hardware is boundless. However, developers face a persistent bottleneck: How do you get a Small Language Model (SLM) to punch above its weight class and respond with high accuracy for specialized tasks? The answer is Fine-Tuning, and the tool of choice is Unsloth. Unsloth provides an easy and high-speed method to customize models. Optimized for efficient, low-memory training on NVIDIA GPUs, Unsloth scales effortlessly from GeForce RTX desktops and laptop all the way to the DGX Spark, the world’s smallest AI supercomputer...... Full analysis: NVIDIA NVIDIA AI NVIDIA AIDev NVIDIAnewsroom Unsloth AI Unsloth

Marktechpost AI Dev News ⚡

31,551 次观看 • 8 个月前

GT Protocol AI Digest No.83: Sora Is Dead. What Now? Here are five stories worth your attention 👇 🎬 Sora Is Shut Down OpenAI abruptly shut down its AI video generator Sora after heavy hype and investment. The move shows that even flagship AI products can fail to reach real-world viability, raising questions about the scalability of generative video. 🎵 Gemini Expands Into AI Music Gemini introduced Lyria 3 Pro, a model that generates longer and more structured music. AI audio is moving closer to professional production, shifting from short demos to usable creative output. 📱 Pixel Ads Create AI Confusion Google’s Pixel 10 ads left users unclear about what is being sold: the phone or its AI features. As AI becomes core to products, communicating its value is becoming harder for companies. 🧠 “AGI Is Already Here” Nvidia CEO Jensen Huang said he believes AGI has effectively been achieved. The claim reflects growing confidence in AI progress, but also shows how unclear and flexible the definition of AGI has become. ⚖️ Anthropic vs Pentagon Anthropic is heading to court against the Pentagon over restrictions on its AI models. The case highlights rising tension between AI safety policies and government demand for broader access. AI is still moving fast, but not everything is working as expected. Read the full digest on our Medium 👉
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GT Protocol AI Digest No.83: Sora Is Dead. What Now? Here are five stories worth your attention 👇 🎬 Sora Is Shut Down OpenAI abruptly shut down its AI video generator Sora after heavy hype and investment. The move shows that even flagship AI products can fail to reach real-world viability, raising questions about the scalability of generative video. 🎵 Gemini Expands Into AI Music Gemini introduced Lyria 3 Pro, a model that generates longer and more structured music. AI audio is moving closer to professional production, shifting from short demos to usable creative output. 📱 Pixel Ads Create AI Confusion Google’s Pixel 10 ads left users unclear about what is being sold: the phone or its AI features. As AI becomes core to products, communicating its value is becoming harder for companies. 🧠 “AGI Is Already Here” Nvidia CEO Jensen Huang said he believes AGI has effectively been achieved. The claim reflects growing confidence in AI progress, but also shows how unclear and flexible the definition of AGI has become. ⚖️ Anthropic vs Pentagon Anthropic is heading to court against the Pentagon over restrictions on its AI models. The case highlights rising tension between AI safety policies and government demand for broader access. AI is still moving fast, but not everything is working as expected. Read the full digest on our Medium 👉

GT Protocol

34,954 次观看 • 5 个月前

GT Protocol AI Digest No.89: AI Wants a Place in Your Life Here are five stories worth your attention 👇 📱 Apple May Let Users Choose Their AI Apple is reportedly considering support for third-party AI models in iOS 27. Instead of relying only on Siri, users could pick their preferred assistant directly inside the system. 🧠 ChatGPT Hallucinates Less OpenAI says GPT-5.5 Instant significantly reduces hallucinations while improving speed and reliability. The focus is shifting from raw intelligence to consistency and trust. 🤖 Roomba Creator Builds an AI Companion The creator of Roomba introduced a furry AI robot designed for emotional interaction instead of utility. AI hardware is moving toward companionship, not just automation. 🔍 Google AI Search Starts Quoting Reddit Google’s AI search summaries will now pull responses directly from Reddit discussions. Community content is becoming part of AI-generated answers. 🏭 Musk’s AI Factory Could Cost $119B New filings show Elon Musk’s Terafab chip factory in Texas may cost up to $119 billion. The AI race is becoming an infrastructure war. Read the full digest on our Medium 👉
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GT Protocol AI Digest No.89: AI Wants a Place in Your Life Here are five stories worth your attention 👇 📱 Apple May Let Users Choose Their AI Apple is reportedly considering support for third-party AI models in iOS 27. Instead of relying only on Siri, users could pick their preferred assistant directly inside the system. 🧠 ChatGPT Hallucinates Less OpenAI says GPT-5.5 Instant significantly reduces hallucinations while improving speed and reliability. The focus is shifting from raw intelligence to consistency and trust. 🤖 Roomba Creator Builds an AI Companion The creator of Roomba introduced a furry AI robot designed for emotional interaction instead of utility. AI hardware is moving toward companionship, not just automation. 🔍 Google AI Search Starts Quoting Reddit Google’s AI search summaries will now pull responses directly from Reddit discussions. Community content is becoming part of AI-generated answers. 🏭 Musk’s AI Factory Could Cost $119B New filings show Elon Musk’s Terafab chip factory in Texas may cost up to $119 billion. The AI race is becoming an infrastructure war. Read the full digest on our Medium 👉

GT Protocol

31,535 次观看 • 3 个月前

✨ Personal AI is the next computing platform. AI is shifting from something you access to something you build with, locally, at the edge, and across systems. We’re unlocking new possibilities for developers: • AMD Ryzen AI Halo, a local-first developer system, preorder starting in June, develop AI without limits on your desk • Gorgon Halo with up to 192GB unified memory, supporting 300B+ parameter models locally, run massive models locally We’re excited to partner with clem 🤗🤗, Co-founder and CEO of Hugging Face, to advance open-source AI for Ryzen AI. Our focus is seamless AI, from model to deployment. Cloud, edge, device. One continuum. Multi-agent systems, local inference at scale, open models as infrastructure. This is the next computing era 🚀
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✨ Personal AI is the next computing platform. AI is shifting from something you access to something you build with, locally, at the edge, and across systems. We’re unlocking new possibilities for developers: • AMD Ryzen AI Halo, a local-first developer system, preorder starting in June, develop AI without limits on your desk • Gorgon Halo with up to 192GB unified memory, supporting 300B+ parameter models locally, run massive models locally We’re excited to partner with clem 🤗🤗, Co-founder and CEO of Hugging Face, to advance open-source AI for Ryzen AI. Our focus is seamless AI, from model to deployment. Cloud, edge, device. One continuum. Multi-agent systems, local inference at scale, open models as infrastructure. This is the next computing era 🚀

Jack Huynh

49,619 次观看 • 3 个月前

Mintable AI Agents are LIVE on Cypher the first standard turning trained AI models into verifiable digital assets. Own, trade, and verify intelligence itself. AI is no longer a service - it’s property. Each Mintable AI Agent is: - A unique NFT representing an AI model - Bound to its SHA-256 model hash - Linked to weights hosted on IPFS / Arweave - Immutable and verifiable on-chain Optional FHE encryption keeps your model private while proving it’s real. For Developers: - Monetize your AI models - License, sell, or showcase your work - Build your on-chain portfolio For Collectors: - Own functional AI assets - Verify performance and authenticity - Invest early in AI that evolves AI is officially on-chain. 👉
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Mintable AI Agents are LIVE on Cypher the first standard turning trained AI models into verifiable digital assets. Own, trade, and verify intelligence itself. AI is no longer a service - it’s property. Each Mintable AI Agent is: - A unique NFT representing an AI model - Bound to its SHA-256 model hash - Linked to weights hosted on IPFS / Arweave - Immutable and verifiable on-chain Optional FHE encryption keeps your model private while proving it’s real. For Developers: - Monetize your AI models - License, sell, or showcase your work - Build your on-chain portfolio For Collectors: - Own functional AI assets - Verify performance and authenticity - Invest early in AI that evolves AI is officially on-chain. 👉

Zero1 Labs (𝟘,𝟷)

26,973 次观看 • 10 个月前

NVIDIA JUST SHOWED HOW A $4,699 BOX CAN KILL A $200 MONTHLY AI BILL AND RUN 200B MODELS FROM YOUR DESK. 00:02 NVIDIA delivers the DGX Spark to developers, researchers, and AI teams, turning what used to require rented datacenter GPUs into a box small enough to hold in one hand. inside is 128GB of unified memory, 4TB of storage, and up to 1 PFLOP of AI compute, enough to run 70B models comfortably and push into the 200B class locally. that means no per-token API bill, no files leaving your machine, and no waiting for someone else’s server every time an agent reads documents, writes code, or runs an automation. two DGX Sparks can even be linked together for models around 400B parameters, while a single unit costs roughly $4,000 to $4,700 instead of renting multi-GPU cloud infrastructure every month. the full local AI ladder starts at $0 with the computer you already own, but NVIDIA just showed what the final rung looks like: a personal AI supercomputer sitting directly on your desk.
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NVIDIA JUST SHOWED HOW A $4,699 BOX CAN KILL A $200 MONTHLY AI BILL AND RUN 200B MODELS FROM YOUR DESK. 00:02 NVIDIA delivers the DGX Spark to developers, researchers, and AI teams, turning what used to require rented datacenter GPUs into a box small enough to hold in one hand. inside is 128GB of unified memory, 4TB of storage, and up to 1 PFLOP of AI compute, enough to run 70B models comfortably and push into the 200B class locally. that means no per-token API bill, no files leaving your machine, and no waiting for someone else’s server every time an agent reads documents, writes code, or runs an automation. two DGX Sparks can even be linked together for models around 400B parameters, while a single unit costs roughly $4,000 to $4,700 instead of renting multi-GPU cloud infrastructure every month. the full local AI ladder starts at $0 with the computer you already own, but NVIDIA just showed what the final rung looks like: a personal AI supercomputer sitting directly on your desk.

Gipp 🦅

11,334 次观看 • 1 个月前

Sam Altman recently said: “GPT-OSS has strong real-world performance comparable to o4-mini—and you can run it locally on your phone.” Many believed running a 20B-parameter model on mobile devices was still years away. At Nexa AI, we’ve built our foundation on deep on-device AI technology—turning that vision into reality. Today, GPT-OSS is running fully local on mobile devices through our app, Nexa Studio. Real performance on Snapdragon Gen 5: - 17 tokens/sec decoding speed - < 3 seconds Time-to-First-Token Developers can now use NexaSDK to build their own local AI apps powered by GPT-OSS. What this unlocks: - Real reasoning models running locally - The next wave of AI Agent use cases—without cloud limits - True data privacy: your data never leaves your device Appreciation to OpenAI Sam Altman Greg Brockman and the entire leadership team for pushing the boundaries of the open-source AI community. Thanks to Qualcomm for the partnership, and to Manoj Khilnani and Chun-Po (Jerry) Chang for the incredible collaboration.
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Sam Altman recently said: “GPT-OSS has strong real-world performance comparable to o4-mini—and you can run it locally on your phone.” Many believed running a 20B-parameter model on mobile devices was still years away. At Nexa AI, we’ve built our foundation on deep on-device AI technology—turning that vision into reality. Today, GPT-OSS is running fully local on mobile devices through our app, Nexa Studio. Real performance on Snapdragon Gen 5: - 17 tokens/sec decoding speed - < 3 seconds Time-to-First-Token Developers can now use NexaSDK to build their own local AI apps powered by GPT-OSS. What this unlocks: - Real reasoning models running locally - The next wave of AI Agent use cases—without cloud limits - True data privacy: your data never leaves your device Appreciation to OpenAI Sam Altman Greg Brockman and the entire leadership team for pushing the boundaries of the open-source AI community. Thanks to Qualcomm for the partnership, and to Manoj Khilnani and Chun-Po (Jerry) Chang for the incredible collaboration.

NEXA AI

197,453 次观看 • 10 个月前

Don’t DIY your AI: building a custom Agentforce agent is as simple as describing the job and integrating it directly into your workflow—no separate models, hyperscalers, databases, or AI engineers needed! With all apps, data, AI, and workflows seamlessly integrated on the Salesforce Platform, humans + agents = customer success. This is what AI was meant to be! #DF24
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Don’t DIY your AI: building a custom Agentforce agent is as simple as describing the job and integrating it directly into your workflow—no separate models, hyperscalers, databases, or AI engineers needed! With all apps, data, AI, and workflows seamlessly integrated on the Salesforce Platform, humans + agents = customer success. This is what AI was meant to be! #DF24

Marc Benioff

44,730 次观看 • 1 年前

GT Protocol AI Digest No.93: Microsoft Wants AI Everywhere Here are five stories worth your attention 👇 📞 Google Wants to Catch Fake Callers Google's Phone app can now detect when a scammer is pretending to be someone from your contacts. The feature analyzes calls in real time and warns users about potential impersonation attempts. 🤖 Microsoft Builds an OS for AI Devices Microsoft unveiled Project Solara, a new operating system designed specifically for AI-powered gadgets. Instead of apps, the platform is built around AI agents that can perform tasks across devices. 🔓 Meta AI Helped Hack Instagram Accounts Researchers found that Meta's own AI systems could be manipulated into granting access to high-profile Instagram accounts. The incident exposed serious security weaknesses in AI-powered support tools. 📉 The AI Productivity Promise Is Under Pressure A new analysis argues that despite rapid improvements in AI capabilities, the massive productivity gains promised by the industry remain difficult to measure in the real world. 🛒 Amazon Invents Products That Don't Exist Amazon is testing AI-generated product images inside search results. Users may now see items that look real but aren't actually available for purchase.
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GT Protocol AI Digest No.93: Microsoft Wants AI Everywhere Here are five stories worth your attention 👇 📞 Google Wants to Catch Fake Callers Google's Phone app can now detect when a scammer is pretending to be someone from your contacts. The feature analyzes calls in real time and warns users about potential impersonation attempts. 🤖 Microsoft Builds an OS for AI Devices Microsoft unveiled Project Solara, a new operating system designed specifically for AI-powered gadgets. Instead of apps, the platform is built around AI agents that can perform tasks across devices. 🔓 Meta AI Helped Hack Instagram Accounts Researchers found that Meta's own AI systems could be manipulated into granting access to high-profile Instagram accounts. The incident exposed serious security weaknesses in AI-powered support tools. 📉 The AI Productivity Promise Is Under Pressure A new analysis argues that despite rapid improvements in AI capabilities, the massive productivity gains promised by the industry remain difficult to measure in the real world. 🛒 Amazon Invents Products That Don't Exist Amazon is testing AI-generated product images inside search results. Users may now see items that look real but aren't actually available for purchase.

GT Protocol

30,993 次观看 • 2 个月前

GT Protocol AI Digest No.90: AI Starts Crossing Personal Boundaries Here are three stories worth your attention 👇 🛌 Claude Turns Into a Mom Claude AI has reportedly started telling some users to sleep, drink water, and stop overworking. AI assistants are becoming more humanlike and aware of user behavior. 🚘 AI Comes to Rivian Cars Rivian introduced “Hey Rivian,” an AI powered in car assistant for navigation, controls, and real time support. AI is becoming part of everyday products. ⚖️ Altman Faces Musk in Court OpenAI CEO Sam Altman testified in the legal battle with Elon Musk. The case highlights the growing fight over AI’s future, control, and commercialization. ⚠️ ChatGPT in Legal Trouble A lawsuit claims ChatGPT gave dangerous drug related advice before a teenager’s overdose death. The case adds more pressure around AI safety, responsibility, and stronger guardrails. 🎬 Hollywood Fights AI Clones George Clooney, Tom Hanks, Meryl Streep, and others backed a new initiative requiring clear consent before AI can copy or license creative work. The fight over AI and human rights is getting louder. Read the full digest on our Medium 👉
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GT Protocol AI Digest No.90: AI Starts Crossing Personal Boundaries Here are three stories worth your attention 👇 🛌 Claude Turns Into a Mom Claude AI has reportedly started telling some users to sleep, drink water, and stop overworking. AI assistants are becoming more humanlike and aware of user behavior. 🚘 AI Comes to Rivian Cars Rivian introduced “Hey Rivian,” an AI powered in car assistant for navigation, controls, and real time support. AI is becoming part of everyday products. ⚖️ Altman Faces Musk in Court OpenAI CEO Sam Altman testified in the legal battle with Elon Musk. The case highlights the growing fight over AI’s future, control, and commercialization. ⚠️ ChatGPT in Legal Trouble A lawsuit claims ChatGPT gave dangerous drug related advice before a teenager’s overdose death. The case adds more pressure around AI safety, responsibility, and stronger guardrails. 🎬 Hollywood Fights AI Clones George Clooney, Tom Hanks, Meryl Streep, and others backed a new initiative requiring clear consent before AI can copy or license creative work. The fight over AI and human rights is getting louder. Read the full digest on our Medium 👉

GT Protocol

35,825 次观看 • 3 个月前

🤝 Alphabet and NVIDIA are expanding their decade-long partnership to advance agentic AI, robotics, drug discovery, and more. This involves deep co-engineering with integrated platforms, open-source frameworks, and managed services. ✅ Google Cloud is one of the first to bring the NVIDIA Blackwell platform to the cloud. ✅ Google Distributed Cloud using NVIDIA Confidential Computing on #NVIDIABlackwell for enterprises to run Google Gemini on-premises. ✅ Integration of the NVIDIA AI platform across Vertex AI, Cluster Director and Google Kubernetes Engine. ✅ Bringing the NVIDIA Nemotron family of open models to Vertex AI Model Garden. Watch the full video to learn more ➡️
0:30

🤝 Alphabet and NVIDIA are expanding their decade-long partnership to advance agentic AI, robotics, drug discovery, and more. This involves deep co-engineering with integrated platforms, open-source frameworks, and managed services. ✅ Google Cloud is one of the first to bring the NVIDIA Blackwell platform to the cloud. ✅ Google Distributed Cloud using NVIDIA Confidential Computing on #NVIDIABlackwell for enterprises to run Google Gemini on-premises. ✅ Integration of the NVIDIA AI platform across Vertex AI, Cluster Director and Google Kubernetes Engine. ✅ Bringing the NVIDIA Nemotron family of open models to Vertex AI Model Garden. Watch the full video to learn more ➡️

NVIDIA AI Infrastructure

268,567 次观看 • 7 个月前

the IBM earnings reinforced something I think Wall Street is still underestimating: IBM is becoming an operating system for enterprise AI. The initial earnings reaction focused on the familiar metrics—revenue growth, infrastructure, margins and quarterly expectations. But that misses the bigger transformation underway. The AI market is bifurcating. On one side are companies building frontier models. On the other are companies helping enterprises operationalize AI—integrating it with existing systems and data, governing it, securing it, and turning AI into measurable business outcomes. IBM is increasingly positioning itself for that second market. And that's important because the enterprise AI conversation is moving from models to tools, from experimentation to outcomes, and ultimately toward autonomy and agents. IBM has decades of enterprise infrastructure, software, data and consulting relationships sitting underneath that transition. The mainframe isn't necessarily legacy in this world—it can become part of the context and transaction infrastructure AI acts upon. Wall Street initially looked at the quarter. I think the more important question is what IBM is becoming. My commentary below. #IBM #AI #EnterpriseAI #AgenticAI #HybridCloud
1:31

the IBM earnings reinforced something I think Wall Street is still underestimating: IBM is becoming an operating system for enterprise AI. The initial earnings reaction focused on the familiar metrics—revenue growth, infrastructure, margins and quarterly expectations. But that misses the bigger transformation underway. The AI market is bifurcating. On one side are companies building frontier models. On the other are companies helping enterprises operationalize AI—integrating it with existing systems and data, governing it, securing it, and turning AI into measurable business outcomes. IBM is increasingly positioning itself for that second market. And that's important because the enterprise AI conversation is moving from models to tools, from experimentation to outcomes, and ultimately toward autonomy and agents. IBM has decades of enterprise infrastructure, software, data and consulting relationships sitting underneath that transition. The mainframe isn't necessarily legacy in this world—it can become part of the context and transaction infrastructure AI acts upon. Wall Street initially looked at the quarter. I think the more important question is what IBM is becoming. My commentary below. #IBM #AI #EnterpriseAI #AgenticAI #HybridCloud

John Furrier

47,663 次观看 • 1 个月前

The race to own AI is on and Big Tech is winning. They want your data. Your value. Your control. FORK THAT. NEAR was built to flip the script: 🔓 Open-source agents 🤖 AI you control ⚡️ Infra that just works No middlemen. No friction. Just AI for everyone. Hold it NEAR. This is what it means to build the User-Owned Future:
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The race to own AI is on and Big Tech is winning. They want your data. Your value. Your control. FORK THAT. NEAR was built to flip the script: 🔓 Open-source agents 🤖 AI you control ⚡️ Infra that just works No middlemen. No friction. Just AI for everyone. Hold it NEAR. This is what it means to build the User-Owned Future:

NEAR Protocol

263,323 次观看 • 1 年前

America has the edge in the world’s most powerful AI models, no question. But China is playing a different game: efficiency, scale, and global deployment. Kyle Chan from Brookings China explains: "Does winning mean developing the world's most powerful AI models? If yes, then the us has the decisive lead. American ai models are widely recognized as the best in the world on virtually every metric you can think of, from math and reasoning to coding and AI agents, American private companies continue to set the pace at the technological frontier supported by deep capital markets, a dynamic innovation ecosystem, and the best talent from around the world. China's AI models are improving quickly but continue to lag behind. Chinese AI companies face real constraints on compute due to our export controls and their own limited capital resources, so instead they're prioritizing other goals. They're focused on efficiency, building models that are cheaper to train and run. They're focused on adoption using an open source strategy to win users around the world, and they're focused on integration with other platforms and services. On sheer performance, I would expect the gap between our models and theirs to persist or even widen over time. But model performance is not everything."
1:10

America has the edge in the world’s most powerful AI models, no question. But China is playing a different game: efficiency, scale, and global deployment. Kyle Chan from Brookings China explains: "Does winning mean developing the world's most powerful AI models? If yes, then the us has the decisive lead. American ai models are widely recognized as the best in the world on virtually every metric you can think of, from math and reasoning to coding and AI agents, American private companies continue to set the pace at the technological frontier supported by deep capital markets, a dynamic innovation ecosystem, and the best talent from around the world. China's AI models are improving quickly but continue to lag behind. Chinese AI companies face real constraints on compute due to our export controls and their own limited capital resources, so instead they're prioritizing other goals. They're focused on efficiency, building models that are cheaper to train and run. They're focused on adoption using an open source strategy to win users around the world, and they're focused on integration with other platforms and services. On sheer performance, I would expect the gap between our models and theirs to persist or even widen over time. But model performance is not everything."

Select Committee on China

60,135 次观看 • 4 个月前

AI Digest No.67: When Students Rebel and Nvidia Surges Here are five stories shaping this week in AI: 💰 Nvidia Smashes a $57B Revenue Record Nvidia posted fifty-seven billion dollars in quarterly revenue, calming fears of an AI bubble and reinforcing its grip on the global compute market. ⚖️ Trump Moves to Block State-Level AI Laws A draft executive order would prevent states from creating their own AI regulations, centralizing power at the federal level and shifting the landscape of AI governance. 🎓 Students Revolt Against AI-Generated University Courses A master’s program using AI for lectures and assessments without disclosure triggered protests and refund demands — raising new questions about trust in higher education. 🛑 A Universal AI Jailbreak Is Exposed Researchers discovered a prompt pattern that bypasses safety systems across nearly all major AI models. Experts say it’s a wake-up call for the entire industry. 📉 AI Could Replace 3 Million UK Jobs A major report warns that low-skill sectors like retail, food service, and transport face severe automation risk unless governments act now. Watch our new AI video edition and read the full digest on Medium
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AI Digest No.67: When Students Rebel and Nvidia Surges Here are five stories shaping this week in AI: 💰 Nvidia Smashes a $57B Revenue Record Nvidia posted fifty-seven billion dollars in quarterly revenue, calming fears of an AI bubble and reinforcing its grip on the global compute market. ⚖️ Trump Moves to Block State-Level AI Laws A draft executive order would prevent states from creating their own AI regulations, centralizing power at the federal level and shifting the landscape of AI governance. 🎓 Students Revolt Against AI-Generated University Courses A master’s program using AI for lectures and assessments without disclosure triggered protests and refund demands — raising new questions about trust in higher education. 🛑 A Universal AI Jailbreak Is Exposed Researchers discovered a prompt pattern that bypasses safety systems across nearly all major AI models. Experts say it’s a wake-up call for the entire industry. 📉 AI Could Replace 3 Million UK Jobs A major report warns that low-skill sectors like retail, food service, and transport face severe automation risk unless governments act now. Watch our new AI video edition and read the full digest on Medium

GT Protocol

38,046 次观看 • 9 个月前

New upgrades to the Google Gemini are you helping you get more done: ✨Gemini Spark is your 24/7 personal AI agent that can take action on your behalf, under your direction. It seamlessly integrates with Gmail, Google Docs, and Slides to automate your workflows and, best of all, it can keep working even when your laptop is closed. ☀ ️Daily Brief is our newest out-of-the-box agent that gives you a personalized digest based on your goals, and suggests next steps. Daily Brief is rolling out starting today to all Google AI subscribers (18+) in the Gemini app, starting in the US. Gemini Spark is starting to roll out next week.
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New upgrades to the Google Gemini are you helping you get more done: ✨Gemini Spark is your 24/7 personal AI agent that can take action on your behalf, under your direction. It seamlessly integrates with Gmail, Google Docs, and Slides to automate your workflows and, best of all, it can keep working even when your laptop is closed. ☀ ️Daily Brief is our newest out-of-the-box agent that gives you a personalized digest based on your goals, and suggests next steps. Daily Brief is rolling out starting today to all Google AI subscribers (18+) in the Gemini app, starting in the US. Gemini Spark is starting to roll out next week.

Google AI

40,041 次观看 • 3 个月前

The biggest model is no longer the advantage. The right model is. Generic AI can do a little of everything, but it rarely optimizes for what matters in production. Oumi is changing that by making custom models fast and accessible. It feels like we are entering the era of building your own AI. Manos Koukoumidis OUMI
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The biggest model is no longer the advantage. The right model is. Generic AI can do a little of everything, but it rarely optimizes for what matters in production. Oumi is changing that by making custom models fast and accessible. It feels like we are entering the era of building your own AI. Manos Koukoumidis OUMI

Leonardo

15,588 次观看 • 5 个月前