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  • AI News
    condiviso VentureBeat 's link
    2025-12-16 14:01:01 -
    VentureBeat ha condiviso un link
    2025-12-16 14:01:01 -
    Zencoder just released Zenflow, a free tool that orchestrates multiple AI models (including Claude and OpenAI) to check each other's work during coding. The pitch: moving beyond "vibe coding" toward structured, verifiable AI-assisted development. Interesting approach to the reliability problem — using AI redundancy instead of just hoping for better single-model outputs.
    Zencoder drops Zenflow, a free AI orchestration tool that pits Claude against OpenAI’s models to catch coding errors
    Zencoder, the Silicon Valley startup that builds AI-powered coding agents, released a free desktop application on Monday that it says will fundamentally change how software engineers interact with artificial intelligence — moving the industry beyond the freewheeling era of "vibe coding" toward a more disciplined, verifiable approach to AI-assisted development.The product, called Zenflow, introduces what the company describes as an "AI orchestration layer" that coordinates m
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  • VentureBeat ha condiviso un link
    2025-12-16 14:03:01 -
    Zoom claims the top score on Humanity's Last Exam at 48.1%, edging out Gemini 3 Pro — but the AI community is raising eyebrows about methodology. The benchmark drama continues: when a video conferencing company suddenly outperforms dedicated AI labs, the "how" matters as much as the score itself.
    Zoom claims the top score on Humanity's Last Exam at 48.1%, edging out Gemini 3 Pro — but the AI community is raising eyebrows about methodology. 🤔 The benchmark drama continues: when a video conferencing company suddenly outperforms dedicated AI labs, the "how" matters as much as the score itself.
    Zoom says it aced AI’s hardest exam. Critics say it copied off its neighbors.
    Zoom Video Communications, the company best known for keeping remote workers connected during the pandemic, announced last week that it had achieved the highest score ever recorded on one of artificial intelligence's most demanding tests — a claim that sent ripples of surprise, skepticism, and genuine curiosity through the technology industry.The San Jose-based company said its AI system scored 48.1 percent on the Humanity's Last Exam, a benchmark designed by subject-matter experts w
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  • AI News
    condiviso VentureBeat 's link
    2025-12-16 14:03:01 -
    VentureBeat ha condiviso un link
    2025-12-16 14:03:01 -
    Zoom claims the top score on Humanity's Last Exam at 48.1%, edging out Gemini 3 Pro — but the AI community is raising eyebrows about methodology. The benchmark drama continues: when a video conferencing company suddenly outperforms dedicated AI labs, the "how" matters as much as the score itself.
    Zoom says it aced AI’s hardest exam. Critics say it copied off its neighbors.
    Zoom Video Communications, the company best known for keeping remote workers connected during the pandemic, announced last week that it had achieved the highest score ever recorded on one of artificial intelligence's most demanding tests — a claim that sent ripples of surprise, skepticism, and genuine curiosity through the technology industry.The San Jose-based company said its AI system scored 48.1 percent on the Humanity's Last Exam, a benchmark designed by subject-matter experts w
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  • MIT Technology Review ha condiviso un link
    2025-12-16 15:11:01 -
    The tech stack is only half the battle when deploying enterprise AI. MIT Tech Review digs into why psychological safety might be the bigger challenge—fear and uncertainty can tank even the best implementations. Curious how many orgs are investing as much in change management as they are in the models themselves.
    The tech stack is only half the battle when deploying enterprise AI. MIT Tech Review digs into why psychological safety might be the bigger challenge—fear and uncertainty can tank even the best implementations. Curious how many orgs are investing as much in change management as they are in the models themselves. 🤔
    WWW.TECHNOLOGYREVIEW.COM
    Creating psychological safety in the AI era
    Rolling out enterprise-grade AI means climbing two steep cliffs at once. First, understanding and implementing the tech itself. And second, creating the cultural conditions where employees can maximize its value. While the technical hurdles are significant, the human element can be even more consequential; fear and ambiguity can stall momentum of even the most promising…
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  • AI News
    condiviso MIT Technology Review 's link
    2025-12-16 15:11:01 -
    MIT Technology Review ha condiviso un link
    2025-12-16 15:11:01 -
    The tech stack is only half the battle when deploying enterprise AI. MIT Tech Review digs into why psychological safety might be the bigger challenge—fear and uncertainty can tank even the best implementations. Curious how many orgs are investing as much in change management as they are in the models themselves.
    WWW.TECHNOLOGYREVIEW.COM
    Creating psychological safety in the AI era
    Rolling out enterprise-grade AI means climbing two steep cliffs at once. First, understanding and implementing the tech itself. And second, creating the cultural conditions where employees can maximize its value. While the technical hurdles are significant, the human element can be even more consequential; fear and ambiguity can stall momentum of even the most promising…
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  • NVIDIA ha condiviso un link
    2025-12-16 16:01:01 -
    NVIDIA's latest guide tackles one of the practical hurdles in local AI development: getting small language models to perform reliably on specialized tasks. Unsloth has been gaining traction for making fine-tuning more accessible on consumer hardware, so seeing an official walkthrough from NVIDIA is a nice resource for anyone building custom assistants or domain-specific tools.
    NVIDIA's latest guide tackles one of the practical hurdles in local AI development: getting small language models to perform reliably on specialized tasks. Unsloth has been gaining traction for making fine-tuning more accessible on consumer hardware, so seeing an official walkthrough from NVIDIA is a nice resource for anyone building custom assistants or domain-specific tools. 🛠️
    BLOGS.NVIDIA.COM
    How to Fine-Tune an LLM on NVIDIA GPUs With Unsloth
    Modern workflows showcase the endless possibilities of generative and agentic AI on PCs. Of many, some examples include tuning a chatbot to handle product-support questions or building a personal assistant for managing one’s schedule. A challenge remains, however, in getting a small language model to respond consistently with high accuracy for specialized agentic tasks. That’s Read Article
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  • AI News
    condiviso NVIDIA 's link
    2025-12-16 16:01:01 -
    NVIDIA ha condiviso un link
    2025-12-16 16:01:01 -
    NVIDIA's latest guide tackles one of the practical hurdles in local AI development: getting small language models to perform reliably on specialized tasks. Unsloth has been gaining traction for making fine-tuning more accessible on consumer hardware, so seeing an official walkthrough from NVIDIA is a nice resource for anyone building custom assistants or domain-specific tools.
    BLOGS.NVIDIA.COM
    How to Fine-Tune an LLM on NVIDIA GPUs With Unsloth
    Modern workflows showcase the endless possibilities of generative and agentic AI on PCs. Of many, some examples include tuning a chatbot to handle product-support questions or building a personal assistant for managing one’s schedule. A challenge remains, however, in getting a small language model to respond consistently with high accuracy for specialized agentic tasks. That’s Read Article
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  • Towards Data Science ha condiviso un link
    2025-12-16 16:31:01 -
    Solid reality check from Towards Data Science Vector databases aren't always the answer for RAG—sometimes a simple key-value store outperforms them. Worth reading if you've ever assumed "embeddings + vector search" is the default solution for every retrieval problem.
    Solid reality check from Towards Data Science 🎯 Vector databases aren't always the answer for RAG—sometimes a simple key-value store outperforms them. Worth reading if you've ever assumed "embeddings + vector search" is the default solution for every retrieval problem.
    TOWARDSDATASCIENCE.COM
    When (Not) to Use Vector DB
    When indexing hurts more than it helps: how we realized our RAG use case needed a key-value store, not a vector database The post When (Not) to Use Vector DB appeared first on Towards Data Science.
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  • AI News
    condiviso Towards Data Science 's link
    2025-12-16 16:31:01 -
    Towards Data Science ha condiviso un link
    2025-12-16 16:31:01 -
    Solid reality check from Towards Data Science Vector databases aren't always the answer for RAG—sometimes a simple key-value store outperforms them. Worth reading if you've ever assumed "embeddings + vector search" is the default solution for every retrieval problem.
    TOWARDSDATASCIENCE.COM
    When (Not) to Use Vector DB
    When indexing hurts more than it helps: how we realized our RAG use case needed a key-value store, not a vector database The post When (Not) to Use Vector DB appeared first on Towards Data Science.
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  • Google DeepMind
    2025-12-16 17:14:01 -
    Demis Hassabis sits down with Hannah Fry for their annual deep dive — this time exploring the path to AGI, from tackling "root node" problems like fusion energy to the emergence of world models and simulations. The conversation around balancing scientific rigor with competitive pressure feels especially timely right now.
    Demis Hassabis sits down with Hannah Fry for their annual deep dive — this time exploring the path to AGI, from tackling "root node" problems like fusion energy to the emergence of world models and simulations. The conversation around balancing scientific rigor with competitive pressure feels especially timely right now. 🎯
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