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In this week's newsletter, we delve into the latest developments in the tech industry. OpenAI and Microsoft are facing a significant lawsuit over allegations of data misuse, raising concerns about privacy and the ethical use of AI. Meanwhile, a prominent Apple Silicon executive has joined Rain AI to lead the development of new hardware, promising exciting advancements in AI technology.

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In today’s issue:

• OpenAI and Microsoft Face Lawsuit Over Data Misuse Allegations

• Apple Silicon Exec Joins Rain AI to Develop New Hardware

• AI Data Shortage by 2026

• Using Claude AI

• AI and Web Content

• AI and Jobs

• Rise of Agentic AI

Today’s must read

OpenAI and Microsoft Face Lawsuit Over Data Misuse Allegations

TL;DR: OpenAI and Microsoft are being sued by the Center for Investigative Reporting over allegations of misusing personal data to train AI models.

Summary: The Center for Investigative Reporting has filed a lawsuit against OpenAI and Microsoft, accusing them of using personal data without consent to train their AI models. The lawsuit claims that the companies violated privacy rights and data protection laws, leading to potential misuse of sensitive information.

Highlights:

• Lawsuit alleges misuse of personal data for AI training.

• OpenAI and Microsoft accused of violating privacy laws.

• Potential implications for AI data practices.

Why it matters:

• Raises concerns about data privacy and AI ethics.

• Highlights the need for stringent data protection measures.

• Could influence future regulations on AI and data usage.

Bottom line: The lawsuit against OpenAI and Microsoft underscores the critical importance of ethical data practices in AI development, potentially shaping future legal and regulatory landscapes.

_{Source: theverge}

News from the giants

Apple Silicon Exec Joins Rain AI to Develop New Hardware

TL;DR: A veteran Apple Silicon executive has joined Rain AI to lead the development of innovative AI hardware.

Summary: Jean-Didier Allegrucci, a former executive from Apple’s silicon division, has joined Rain AI as the Head of Hardware Engineering. With over seventeen years of experience at Apple, Allegrucci is expected to spearhead the design and development of new AI hardware that will enhance the performance and efficiency of AI applications.

Highlights:

• Jean-Didier Allegrucci joins Rain AI from Apple.

• Will lead the development of advanced AI hardware.

• Aims to improve AI performance and efficiency.

Why it matters:

• This move underscores the growing importance of hardware in AI development.

• Rain AI benefits from Allegrucci's extensive experience and expertise.

• Could lead to significant advancements in AI technology and applications.

Bottom line: Jean-Didier Allegrucci’s transition from Apple to Rain AI is a significant step for the AI hardware startup, promising to drive innovation and enhance the capabilities of AI systems with cutting-edge hardware solutions.

_{Source: theverge}

Prompt of today

Prompts:

Black hole, orange halo, universe background, planet orbiting blackhole, glowing ring, cosmic dust swirls, space scene, cosmic glow effects, sci-fi style, futuristic, sci fi, space landscape, dark background, space photography, high resolution, hyper realistic --ar 9:16 --v 6.0

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AI around the world

• AI Data Shortage by 2026: The potential depletion of training data by 2026 poses a significant challenge for AI development and efficiency.

• Using Claude AI: Claude AI offers intuitive features and seamless integration, making it easy for users to maximize productivity and streamline tasks.

• AI and Web Content: Microsoft's AI Chief claims that web content is essentially "freeware" for AI training, stirring controversy over data usage and intellectual property rights.

• AI and Jobs: Despite advancements in AI, workers show no significant fear of job displacement, indicating confidence in AI's role in augmenting rather than replacing human labor.

• Rise of Agentic AI: Agentic AI, the next evolution in artificial intelligence, surpasses generative AI by enabling autonomous goal pursuit with human supervision.

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