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Google Says It Dropped the Energy Cost of AI Queries By 33x In One Year - Slashdot
Google Says It Dropped the Energy Cost of AI Queries By 33x In One Year - Slashdot
Google has released (PDF) a new analysis of its AI's environmental impact, showing that it has cut the energy use of AI text queries by a factor of 33 over the past year. Each prompt now consumes about 0.24 watt-hours -- the equivalent of watching nine seconds of TV. An anonymous reader shares an ex…
·m.slashdot.org·
Google Says It Dropped the Energy Cost of AI Queries By 33x In One Year - Slashdot
Bringing the best of AI to college students for free
Bringing the best of AI to college students for free
We’re committing $1 billion for AI training and resources and rolling out our most advanced AI tools for learning to students for free.
·blog.google·
Bringing the best of AI to college students for free
Annie and Lakeesha struggle in school. AI teacher assistants treated them very differently.
Annie and Lakeesha struggle in school. AI teacher assistants treated them very differently.

Researchers specifically sought to evaluate the quality of AI teacher assistants — such as MagicSchool, Khanmingo, Curipod, and Google Gemini for Education — that are designed to support classroom planning, lesson differentiation, and administrative tasks.

Common Sense Media found that while these tools could help teachers save time and streamline routine paperwork, AI-generated content could also promote bias in lesson planning and classroom management recommendations.

·chalkbeat.org·
Annie and Lakeesha struggle in school. AI teacher assistants treated them very differently.
Show HN: Kitten TTS – 25MB CPU-Only, Open-Source TTS Model | Hacker News
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!
·news.ycombinator.com·
Show HN: Kitten TTS – 25MB CPU-Only, Open-Source TTS Model | Hacker News
Google DeepMind on X: "For researchers, scientists, and academics tackling hard problems: Gemini 2.5 Deep Think is here. 🤯 It doesn't just answer, it brainstorms using parallel thinking and reinforcement learning techniques. We put it into the hands of mathematicians who explored what it can do ↓ https://t.co/lsBq3ICvuM" / X
Google DeepMind on X: "For researchers, scientists, and academics tackling hard problems: Gemini 2.5 Deep Think is here. 🤯 It doesn't just answer, it brainstorms using parallel thinking and reinforcement learning techniques. We put it into the hands of mathematicians who explored what it can do ↓ https://t.co/lsBq3ICvuM" / X

For researchers, scientists, and academics tackling hard problems: Gemini 2.5 Deep Think is here. 🤯

It doesn't just answer, it brainstorms using parallel thinking and reinforcement learning techniques.

For researchers, scientists, and academics tackling hard problems: Gemini 2.5 Deep Think is here. It doesn't just answer, it brainstorms using parallel thinking and reinforcement learning techniques.
·x.com·
Google DeepMind on X: "For researchers, scientists, and academics tackling hard problems: Gemini 2.5 Deep Think is here. 🤯 It doesn't just answer, it brainstorms using parallel thinking and reinforcement learning techniques. We put it into the hands of mathematicians who explored what it can do ↓ https://t.co/lsBq3ICvuM" / X
Special Update: Google Launches Gemini for Education at ISTE 2025
Special Update: Google Launches Gemini for Education at ISTE 2025
  1. 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.

  2. 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.

  3. 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.

  4. 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.

·aischoollibrarian.substack.com·
Special Update: Google Launches Gemini for Education at ISTE 2025