After all the reports and concerns about the weak offline AI model used in NVDA 64-bit, it now seems that NVAccess is preparing to label this feature as experimental for the 2026.1 release. The word “experimental” is not explicitly used in their comment, but the tone and the explanation strongly imply that this is where things are heading. At least the status is starting to line up with reality.
What still feels strange is how firmly NVAccess is holding on to the offline model idea. Yes, offline models can perform well with a strong GPU or an NPU, and the technology is improving fast. But will the majority of NVDA’s target users, now or even in the future, actually have the hardware needed to run these models properly? That part is still very uncertain.
Marking the feature as experimental is a good step forward, but the bigger question about practicality and user hardware remains unanswered.
github.com/nvaccess/nvda/issue…
@NVAccess
What still feels strange is how firmly NVAccess is holding on to the offline model idea. Yes, offline models can perform well with a strong GPU or an NPU, and the technology is improving fast. But will the majority of NVDA’s target users, now or even in the future, actually have the hardware needed to run these models properly? That part is still very uncertain.
Marking the feature as experimental is a good step forward, but the bigger question about practicality and user hardware remains unanswered.
github.com/nvaccess/nvda/issue…
@NVAccess
Image recognition: LLM for image recognition delivers wrong results / halucination
Steps to reproduce Open NVDA Turn on image description Navigate to e.G. Github NVDA repository Focus a link in browse mode Press nvda+g to call image description Change to focus mode Press shift+ta...Adriani90 (GitHub)
NV Access
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in reply to NV Access • • •The current offline model is extremely limited and not reliable in practice. And if I ever wanted to use a stronger offline model, I would prefer to run it outside of NVDA rather than inside it.
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Unknown parent • • •Timothy Appleby 🎄
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