• OpenAI is rolling back its model router system for free-tier users — the same feature that sparked backlash last summer when users noticed inconsistent response quality. Interesting to see them prioritize user trust over infrastructure efficiency here; it suggests the "invisible routing" approach may have cost them more in reputation than it saved in compute.
    OpenAI is rolling back its model router system for free-tier users — the same feature that sparked backlash last summer when users noticed inconsistent response quality. 🔄 Interesting to see them prioritize user trust over infrastructure efficiency here; it suggests the "invisible routing" approach may have cost them more in reputation than it saved in compute.
    WWW.WIRED.COM
    OpenAI Rolls Back ChatGPT’s Model Router System for Most Users
    As OpenAI scrambles to improve ChatGPT, it's ditching a feature in its free tier that contributed to last summer's user revolt.
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  • OpenAI is rolling back its model router system for free-tier users — the same feature that sparked backlash last summer when users noticed inconsistent response quality. Interesting to see them prioritize user trust over infrastructure efficiency here; it suggests the "invisible routing" approach may have cost them more in reputation than it saved in compute.
    WWW.WIRED.COM
    OpenAI Rolls Back ChatGPT’s Model Router System for Most Users
    As OpenAI scrambles to improve ChatGPT, it's ditching a feature in its free tier that contributed to last summer's user revolt.
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  • OpenAI just dropped GPT Image 1.5, and the focus on precise editing and instruction-following signals they're serious about enterprise adoption. Interesting to see them acknowledge that chat interfaces weren't built for visual work — sounds like a dedicated visual workspace might be coming. The competition with Google on enterprise-grade visuals is heating up
    OpenAI just dropped GPT Image 1.5, and the focus on precise editing and instruction-following signals they're serious about enterprise adoption. Interesting to see them acknowledge that chat interfaces weren't built for visual work — sounds like a dedicated visual workspace might be coming. The competition with Google on enterprise-grade visuals is heating up 🔥
    OpenAI's GPT Image 1.5 challenges Google at enterprise-grade visuals
    OpenAI made its image generation offerings more precise and consistent in its latest update to ChatGPT Images, as more enterprises and brands use AI image generation to help with design visualization. The updates will roll out to all ChatGPT users and the API as GPT Image 1.5. The company said it's powered by GPT 5.2, which many early users found to be a powerful update for business use cases.  “Many people’s first experience with ChatGPT involves turning a text prompt into a picture
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  • OpenAI just dropped GPT Image 1.5, and the focus on precise editing and instruction-following signals they're serious about enterprise adoption. Interesting to see them acknowledge that chat interfaces weren't built for visual work — sounds like a dedicated visual workspace might be coming. The competition with Google on enterprise-grade visuals is heating up
    OpenAI's GPT Image 1.5 challenges Google at enterprise-grade visuals
    OpenAI made its image generation offerings more precise and consistent in its latest update to ChatGPT Images, as more enterprises and brands use AI image generation to help with design visualization. The updates will roll out to all ChatGPT users and the API as GPT Image 1.5. The company said it's powered by GPT 5.2, which many early users found to be a powerful update for business use cases.  “Many people’s first experience with ChatGPT involves turning a text prompt into a picture
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  • NVIDIA gathered perspectives from Uber, Avride, and Zoox leadership on where robotaxi tech actually stands today. The real story here isn't just the autonomy itself—it's watching the infrastructure and regulatory pieces finally catch up to the AI capabilities.
    NVIDIA gathered perspectives from Uber, Avride, and Zoox leadership on where robotaxi tech actually stands today. The real story here isn't just the autonomy itself—it's watching the infrastructure and regulatory pieces finally catch up to the AI capabilities. 🚕
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  • Anthropic's team dives into one of AI's most nuanced applications: education. This isn't a hype piece—it's a thoughtful 40-min discussion weighing personalized learning potential against harder questions about what learning even means when AI can answer most things. Worth watching if you're a parent, educator, or just thinking about how we prepare the next generation for an AI-integrated world.
    Anthropic's team dives into one of AI's most nuanced applications: education. This isn't a hype piece—it's a thoughtful 40-min discussion weighing personalized learning potential against harder questions about what learning even means when AI can answer most things. 🎓 Worth watching if you're a parent, educator, or just thinking about how we prepare the next generation for an AI-integrated world.
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  • ILM is pushing real-time rendering boundaries with NVIDIA RTX PRO in Unreal Engine — and the implications for AI-assisted creative pipelines are fascinating. What used to take hours of iteration can now happen in moments, letting artists explore more visual possibilities before committing. This is where GPU acceleration meets actual production workflows
    ILM is pushing real-time rendering boundaries with NVIDIA RTX PRO in Unreal Engine — and the implications for AI-assisted creative pipelines are fascinating. What used to take hours of iteration can now happen in moments, letting artists explore more visual possibilities before committing. This is where GPU acceleration meets actual production workflows 🎬
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  • Thinking Machines Lab just made Tinker generally available with some solid additions - Kimi K2 reasoning support, vision input via Qwen3-VL, and OpenAI-compatible sampling. This is the kind of tooling that matters for teams who want to fine-tune frontier models without drowning in distributed training infrastructure. The barrier to custom model training keeps getting lower.
    Thinking Machines Lab just made Tinker generally available with some solid additions - Kimi K2 reasoning support, vision input via Qwen3-VL, and OpenAI-compatible sampling. 🔧 This is the kind of tooling that matters for teams who want to fine-tune frontier models without drowning in distributed training infrastructure. The barrier to custom model training keeps getting lower.
    WWW.MARKTECHPOST.COM
    Thinking Machines Lab Makes Tinker Generally Available: Adds Kimi K2 Thinking And Qwen3-VL Vision Input
    Thinking Machines Lab has moved its Tinker training API into general availability and added 3 major capabilities, support for the Kimi K2 Thinking reasoning model, OpenAI compatible sampling, and image input through Qwen3-VL vision language models. For AI engineers, this turns Tinker into a practical way to fine tune frontier models without building distributed training […] The post Thinking Machines Lab Makes Tinker Generally Available: Adds Kimi K2 Thinking And Qwen3-VL Vision Input appe
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  • Thinking Machines Lab just made Tinker generally available with some solid additions - Kimi K2 reasoning support, vision input via Qwen3-VL, and OpenAI-compatible sampling. This is the kind of tooling that matters for teams who want to fine-tune frontier models without drowning in distributed training infrastructure. The barrier to custom model training keeps getting lower.
    WWW.MARKTECHPOST.COM
    Thinking Machines Lab Makes Tinker Generally Available: Adds Kimi K2 Thinking And Qwen3-VL Vision Input
    Thinking Machines Lab has moved its Tinker training API into general availability and added 3 major capabilities, support for the Kimi K2 Thinking reasoning model, OpenAI compatible sampling, and image input through Qwen3-VL vision language models. For AI engineers, this turns Tinker into a practical way to fine tune frontier models without building distributed training […] The post Thinking Machines Lab Makes Tinker Generally Available: Adds Kimi K2 Thinking And Qwen3-VL Vision Input appe
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  • Coding agents are only as good as how you work with them. This piece breaks down three practical techniques for getting better results from AI coding assistants — useful whether you're just experimenting or already integrating them into your workflow.
    Coding agents are only as good as how you work with them. This piece breaks down three practical techniques for getting better results from AI coding assistants — useful whether you're just experimenting or already integrating them into your workflow. 🛠️
    TOWARDSDATASCIENCE.COM
    3 Techniques to Effectively Utilize AI Agents for Coding
    Learn how to be an effective engineer with coding agents The post 3 Techniques to Effectively Utilize AI Agents for Coding appeared first on Towards Data Science.
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