Synopsis
Leon Furze sets aside the chatbot hype to show how the underlying components of AI—image recognition, speech-to-text, text-to-speech and transformer language models—already power a growing suite of assistive technologies.

He argues that genuine progress depends on lived-experience design, open standards and a focus on specific user needs, not generic “GPT in everything” solutions. By mapping near-future advances—offline multimodal models, speech-to-sign avatars, adaptive reading platforms and low-cost robotics—Furze invites educators and developers to steer AI toward accessibility rather than spectacle.

Originally published at: https://leonfurze.com/2025/06/18/artificial-intelligence-and-assistive-technologies-a-practical-guide/

Links
https://leonfurze.com/2025/06/18/artificial-intelligence-and-assistive-technologies-a-practical-guide/
https://www.bemyeyes.com/
https://www.microsoft.com/en-us/ai/seeing-ai
https://www.letsenvision.com/
https://sites.research.google/euphonia/
https://research.nvidia.com/publication/2024-06_foveated-augmented-reality
https://signlanguage.blog/
https://techcrunch.com/2025/04/28/hugging-face-releases-a-3d-printed-robotic-arm-starting-at-100/

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