📖 OpenAI Introduces AI Education Program for Teachers

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In today's email

1. 🖥️ [Webinar] From Insights to Growth: Using Product Data to Fuel Smarter Marketing

2. 📖 OpenAI Introduces AI Education Program for Teachers

3. 🧠 Google’s Gemini Adds Memory Feature

4. 🤯  Quick Takes

Read Time: 5 Minutes

[Webinar] From Insights to Growth: Using Product Data to Fuel Smarter Marketing

Join us on December 4th to learn how to turn product insights into impactful marketing with HubSpot, Amplitude, and Aptitude 8. Discover AI and data's role in reshaping marketing, harness the power of product qualified leads, and get tips on aligning marketing & product teams for effective data use.

In the Know​

OpenAI Introduces AI Education Program for Teachers

OpenAI has launched a free course to help K-12 educators integrate ChatGPT into classrooms, addressing both opportunities and challenges posed by AI in education..

Key Points:

• It is a one-hour, nine-module program developed with Common Sense Media, covering AI basics, lesson planning, and ChatGPT's pedagogical applications.

• It’s currently used in schools across Arizona and California, with 98% of participants reporting actionable strategies gained.

• Privacy, ethical AI use, and bias in generative AI remain critical challenges. Some worry about data security and OpenAI's influence over education resources.

• While seen as a tool for efficiency, AI's impact on critical thinking and student engagement sparks debate.

• OpenAI is positioning itself as a key player in education amid mixed perceptions and slow AI adoption in schools.

This initiative reflects OpenAI's push into education, despite skepticism from some educators about AI's role in learning.

💡 Did You Know?

AI-generated artwork has sold for millions—like the portrait "Edmond de Belamy," which auctioned for $432,500 in 2018. 🎨

Google’s Gemini Adds Memory Feature

Google’s Gemini chatbot now offers a memory function for subscribers to its $20/month Google One AI Premium plan. This feature allows the bot to recall user-specific details, such as personal preferences or work needs, to tailor responses. Currently limited to the web client, Gemini’s memory supports examples like using simple language or considering trip costs. Users can manage, delete, or disable memories at any time. Google assures that saved information won’t be used for model training, addressing potential privacy concerns associated with memory-based AI tools.

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Learn more about our production ready RAG tooling here.

Quick Takes

• Crypto Miners Pivot to Power AI Boom: As demand for energy-intensive AI applications surges, crypto mining firms are retrofitting their facilities to host AI-focused data centers, offering steadier revenue streams than volatile bitcoin mining. Analysts predict 20% of bitcoin mining capacity will shift to AI hosting by 2027, despite challenges like infrastructure upgrades and specialized computing requirements.

• AI-Driven Error Correction Brings Quantum Computing Closer to Reality: Quantum computers promise to solve problems far beyond the reach of classical systems, but their fragile qubits are prone to errors. The AI-based decoder AlphaQubit, developed by Google DeepMind and Quantum AI, achieves unprecedented accuracy in identifying these errors, marking a critical step toward scalable, reliable quantum computing.

• Nvidia Highlights AI Inference Potential as Industry Evolves: Nvidia CEO Jensen Huang emphasized "test-time scaling" as a game-changing approach for improving AI inference, reassuring investors about the company’s readiness for this shift. While Nvidia dominates AI training chips, its focus on inference positions it to compete with emerging rivals like Groq and Cerebras.

That’s all for Today!

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