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  • LLMs generate ‘fluent nonsense’ when reasoning outside their training zone

    LLMs generate ‘fluent nonsense’ when reasoning outside their training zone

    Chain-of-Thought isn't a plug-and-play solution. For developers, this research offers a blueprint for LLM testing and strategic fine-tuning.
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  • DeepSeek V3.1 just dropped — and it might be the most powerful open AI yet

    DeepSeek V3.1 just dropped — and it might be the most powerful open AI yet

    China's DeepSeek has released a 685-billion parameter open-source AI model, DeepSeek V3.1, challenging OpenAI and Anthropic with breakthrough performance, hybrid reasoning, and zero-cost access on Hugging Face.
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  • Nvidia releases a new small, open model Nemotron-Nano-9B-v2 with toggle on/off reasoning

    Nvidia releases a new small, open model Nemotron-Nano-9B-v2 with toggle on/off reasoning

    Developers are free to create and distribute derivative models. Importantly, Nvidia does not claim ownership of any outputs generated...
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  • Hugging Face: 5 ways enterprises can slash AI costs without sacrificing performance 

    Hugging Face: 5 ways enterprises can slash AI costs without sacrificing performance 

    Ultimately, model makers and enterprises are focusing on the wrong issue: They should be computing smarter, not harder.
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  • Teaching the model: Designing LLM feedback loops that get smarter over time

    Teaching the model: Designing LLM feedback loops that get smarter over time

    How to close the loop between user behavior and LLM performance, and why human-in-the-loop systems are still essential in the age of gen AI.
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  • This researcher turned OpenAI’s open weights model gpt-oss-20b into a non-reasoning ‘base’ model with less alignment, more freedom

    This researcher turned OpenAI’s open weights model gpt-oss-20b into a non-reasoning ‘base’ model with less alignment, more freedom

    Morris found it could also reproduce verbatim passages from copyrighted works, including three out of six book excerpts he tried.
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  • That ‘cheap’ open-source AI model is actually burning through your compute budget

    That ‘cheap’ open-source AI model is actually burning through your compute budget

    New research reveals open-source AI models use up to 10 times more computing resources than closed alternatives, potentially negating cost advantages for enterprise deployments.
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  • Gartner: GPT-5 is here, but the infrastructure to support true agentic AI isn’t (yet)

    Gartner: GPT-5 is here, but the infrastructure to support true agentic AI isn’t (yet)

    While OpenAI’s GPT-5 is highly-performant, capable and an important step forward, it features just faint glimmers of true agentic AI. 
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  • Google unveils ultra-small and efficient open source AI model Gemma 3 270M that can run on smartphones

    Google unveils ultra-small and efficient open source AI model Gemma 3 270M that can run on smartphones

    For enterprise teams and commercial developers, this means the model can be embedded in products or fine-tuned.
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  • Google adds limited chat personalization to Gemini, trails Anthropic and OpenAI in memory features

    Google adds limited chat personalization to Gemini, trails Anthropic and OpenAI in memory features

    Google updated the Gemini app running of Gemini 2.5 Pro to reference all historical chats and offer new temporary chats.
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Phone: (512) 329-2625

Email: contactus@optimustg.com

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