Teachers and Parents Can’t See AI Chat Transcripts While Gemini may be “student safe,” only administrators can review chat histories. That’s a huge blind spot. If a student is confused by a Gemini response, misuses the tool, or gets inaccurate information—teachers and parents won’t know unless the student says something.
Is AI doing the thinking—or the student? Many features encourage speed and convenience, but could inadvertently promote over-reliance. Students can get summaries, answers, and explanations so easily that critical thinking risks taking a backseat.
There’s no way to track edits or usage Gemini doesn’t offer version history for AI-generated content. That means teachers can’t see how a document evolved—or how much of it came from AI.
Equity gaps may widen Some schools have tech coaches, training time, and infrastructure to support thoughtful AI use. Others don’t. Without equitable implementation support, Gemini’s benefits may be limited to already well-resourced districts.
Gemini
Special Update: Google Launches Gemini for Education at ISTE 2025
Gemini in Classroom: No-cost AI tools that amplify teaching and learning
Along with Gemini in Classroom's new AI tools for education, we're announcing more than 50 new features in Google Classroom
Gemini in Classroom: No-cost AI tools that amplify teaching and learning
Along with Gemini in Classroom's new AI tools for education, we're announcing more than 50 new features in Google Classroom
Show HN: Kitten TTS – 25MB CPU-Only, Open-Source TTS Model | Hacker News
Kitten TTS is an open-source series of tiny and expressive text-to-speech models for on-device applications. We are excited to launch a preview of our smallest model, which is less than 25 MB. This model has 15M parameters.
This release supports English text-to-speech applications in eight voices: four male and four female. The model is quantized to int8 + fp16, and it uses onnx for runtime. The model is designed to run literally anywhere eg. raspberry pi, low-end smartphones, wearables, browsers etc. No GPU required!
Kitten TTS is an open-source series of tiny and expressive text-to-speech models for on-device applications. We are excited to launch a preview of our smallest model, which is less than 25 MB. This model has 15M parameters.This release supports English text-to-speech applications in eight voices: four male and four female. The model is quantized to int8 + fp16, and it uses onnx for runtime. The model is designed to run literally anywhere eg. raspberry pi, low-end smartphones, wearables, browsers etc. No GPU required!