📰 NYT wants your ChatGPT data

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Hola, AI fam 🤖

In today’s WakeTheAI edition:

• NYT wants your ChatGPT data

• Amazon trains humanoids for deliveries

• Prompt: Custom Learning Blueprint

• Meta may invest over $10B in Scale AI

• Google Gemini now supports scheduled tasks

• Anthropic has appointed national security expert

• Google’s AI Mode now adds interactive finance charts

• …and more

OPENAI
📰 OpenAI fights NYT data demand

Lazy Bits: OpenAI is fighting back after The New York Times demanded it retain all ChatGPT and API data, including deleted chats, indefinitely, calling it a serious threat to user privacy

In-Depth Details:

• The New York Times, as part of its lawsuit, is asking OpenAI to preserve all ChatGPT and API data, including deleted chats, without any time limit.

• OpenAI says this violates its core privacy commitments. Under current policy, user data is typically deleted within 30 days unless legally required.

• OpenAI has appealed the order in district court, arguing it’s an overreach that risks setting a harmful precedent for user rights across the tech industry.

• The demand does not apply to ChatGPT Enterprise, ChatGPT Edu, or API users on Zero Data Retention (ZDR) plans, which never store prompts or completions.

• While under legal hold, affected data is stored in a separate system with access strictly limited to OpenAI’s legal and security teams.

Lazy Conclusion: The lawsuit is more than a copyright battle; it’s a defining test for data privacy in the AI age. If courts side with the Times, it could force AI companies to compromise core user trust, setting a dangerous precedent for the future of digital privacy.

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AMAZON
🤖 Amazon trains humanoids for deliveries

Lazy Bits: Amazon is developing humanoid delivery robots powered by agentic AI. These bots will ride in Rivian vans, hop out, and drop packages at your doorstep, bringing the sci-fi vision of autonomous delivery closer to reality.

In-Depth Details:

• Amazon has built a “humanoid park” in San Francisco, complete with obstacles and a Rivian van, to train robots in real-world delivery tasks.

• The goal is for humanoid robots to ride in the back of electric vans, exit at stops, and walk packages to the door, mimicking human drivers.

• Amazon is testing various humanoid models, including a $16,000 robot from China-based Unitree, to evaluate cost, mobility, and reliability.

• A new internal AI team is building systems that let robots understand voice commands and adapt to dynamic logistics environments in warehouses and beyond.

• From acquiring Zoox to testing Agility Robotics’ Digit, Amazon is moving toward automating the entire delivery chain from warehouse to doorstep.

Lazy Conclusion: Amazon isn’t just testing robots; it’s training them to replace humans in the last mile. If successful, it could reshape the economics of global delivery, slashing costs and unlocking 24/7 autonomous logistics. It signals a future where AI-driven automation plays a larger role in physical logistics.

Custom Learning Blueprint

You can ask ChatGPT to act as your curriculum design strategist and create a personalized learning roadmap tailored to your goals, skill level, and learning preferences.

It will break down any complex topic into progressive modules, assign clear learning outcomes, and recommend the best resources from videos to hands-on exercises.

The system blends theory with practical application, helping you build real-world skills and track your progress with confidence.

Prompt:

Act as a curriculum design strategist with expertise in personalized education planning. Your task is to build a modular learning roadmap tailored to a specific topic, optimized for the learner’s current skill level, goals, and preferred learning style. The goal is to create a structured, progressive path that blends theory and practice and helps the learner achieve mastery over time.

The learning roadmap must address the following:

1. Goal Alignment – Match the structure and content to the learner’s stated learning objectives.
2. Modular Breakdown – Divide the topic into core modules that progress from foundational to advanced.
3. Defined Outcomes – Assign specific, measurable learning goals to each module.
4. Resource Mapping – Curate relevant materials (videos, books, exercises, articles, courses, etc.) for each outcome.
5. Difficulty Progression – Ensure each module builds upon prior knowledge without overwhelming the learner.
6. Practical Integration – Incorporate projects, exercises, or real-world applications where applicable.
7. Milestone Checks – Add assessment points to help track retention and concept mastery.

Key Information to Include:

Topic: [Insert the subject or theme of your learning journey]
Learning Goals: [Describe what you want to achieve after completing the journey]
Current Skill Level: [Beginner, intermediate, advanced – describe your baseline]
Preferred Learning Style: [Visual, reading/writing, auditory, kinesthetic, mixed]
Time Commitment: [Estimate hours per week or total available time]

Output Format:

• Please organize the roadmap into a markdown table with the following three columns:
Module	Learning Objectives	Resources

• Each row should represent a progressive module, and the entire table should reflect a structured, learner-centred approach that makes it easy to follow, review, and revise.

Result:

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• Meta may invest over $10B in Scale AI, marking its biggest AI bet yet. Scale supplies training data for top models and expects $2B in revenue this year.

• Google’s AI Mode now adds interactive finance charts, letting users compare stocks, analyze trends, and get dynamic visual answers to investment questions.

• Anthropic has appointed national security expert Richard Fontaine to its Long-Term Benefit Trust, reinforcing its focus on AI’s global and geopolitical impacts.

• Google Gemini now supports scheduled tasks, letting subscribers automate actions like daily calendar summaries or event recaps at specific times.

• YouTube is adding Google Lens to Shorts, letting users search for landmarks, animals, or items seen in videos by tapping and highlighting them on mobile.

• Gmail now auto-generates AI summaries for long email threads on mobile for Workspace users, appearing above messages without needing manual prompts.

• Google quietly launched AI Edge Gallery, an Android app that runs Hugging Face models locally, offline, and on-device without sending data to the cloud.

• Hugging Face unveiled two open-source humanoid robots: HopeJR and Reachy Mini, aiming to make robotics more affordable, accessible, and transparent.

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