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Google AI to scan private messages.

U.S escalates chip battle, barring Chinese firms from U.S cloud services for AI.

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Today’s AI Secret:

  • Daily Trending & Featured AI.

  • Google Update: AI to scan private messages.

  • Elon Musk accelerates automotive AI.

  • U.S escalates chip battle, barring Chinese firms from U.S cloud services for AI.

  • More AI Quick Heats.

Read Time: 3-5 minutes

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SECRET HIGHLIGHT

Imaged: DALL·E 3

The integration of Google's AI, Bard, into Android messaging represents a significant leap forward in enhancing user experience through AI-powered assistants. However, it raises profound privacy concerns due to the AI's capability to analyze private messages, potentially altering the landscape of smartphone privacy.

Google’s Game-Changing AI Upgrade for Android:

  • AI Integration into Messaging: Google introduces Bard, an AI assistant designed to enhance messaging by providing context-aware responses, creativity, and information, aiming to improve communication within Android's messaging app.

  • Privacy Concerns: Bard's ability to analyze the sentiment, context, and personal relationships within private messages raises privacy issues, reminiscent of past controversies over AI and user data interactions.

  • Data Handling and Encryption: Messages sent to Bard for processing will be stored in the cloud, accessible for training purposes, and potentially viewed by humans, albeit anonymized, which falls outside the scope of Google Messages' end-to-end encryption.

The Implications:

  • Shift in Privacy Dynamics: The introduction of AI like Bard into messaging platforms necessitates a reevaluation of privacy norms and user consent, especially concerning the analysis of encrypted content.

  • On-Device vs. Cloud Processing: The debate between processing data on-device versus in the cloud is highlighted, with implications for user privacy and data security. Apple's contrasting approach of favoring on-device processing underscores this industry divide.

  • Evolving Competitive Landscape: The integration of advanced AI into messaging platforms signifies a new competitive frontier among tech giants like Google, Apple, and Meta, focusing on balancing innovative features with user privacy.

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SECRET HIGHLIGHT

Imaged: DALL·E 3

Tesla is sourcing AI chips from top suppliers like Nvidia and AMD and is also creating its own Dojo processors.

Tesla’s Huge Demand for AI chips:

  • Tesla's AI Hardware Investments: Elon Musk announced Tesla's procurement of AI processors worth billions, including Nvidia's AI GPUs, Tesla's own Dojo processors, and hardware from AMD, emphasizing the massive scale of investment in AI technologies.

  • Dojo Supercomputers and Nvidia's Role: A $500 million investment in Tesla's Dojo supercomputers for tasks like computer vision and machine learning contrasts with even more significant spending on Nvidia's hardware, particularly H100 and future H200 GPUs, illustrating the diverse sourcing strategy for AI capabilities.

  • AMD's Competitive Offerings: Musk's acknowledgment of procuring AI hardware from AMD, alongside mentioning AMD's Instinct MI300X accelerator's competitive performance against Nvidia's H100, indicates Tesla's broad-based approach to incorporating the best-in-class AI technologies.

Tesla, guided by Elon Musk, is making major investments and strategic decisions in the field of AI hardware. This underscores the growing competition and importance of AI technology in the car and tech sectors.

SECRET HIGHLIGHT

Imaged: DALL·E 3

The U.S. plans to regulate foreign use, particularly from China, of its cloud computing for AI training to protect national security and technological lead, requiring strict user vetting by American cloud firms.

Key Elements:

  • Regulatory Proposal on Cloud Computing: The U.S. government plans to prevent foreign entities, particularly from China, from utilizing U.S. cloud computing services for AI training to protect national security.

  • 'Know Your Customer' Initiative: U.S. cloud companies are required to thoroughly identify their foreign users, ensuring that entities from certain countries, like China, cannot access U.S. cloud resources for AI development.

  • Impact on Cloud Computing Firms: The proposed regulation imposes significant verification and compliance responsibilities on cloud computing companies to prevent their platforms from being used for hostile AI development.

Implications on the Industry:

  • Increased Operational Burdens: Cloud computing firms will face increased operational burdens due to the need for rigorous customer identification and compliance certification, potentially impacting their global service offerings.

  • Stifling International Collaboration: The regulatory measures, especially the stringent 'Know Your Customer' requirements, could deter international collaboration in AI development, as highlighted by industry critics.

  • Shift in AI Development Landscape: The proposal may lead to a shift in the global AI development landscape, with entities restricted from using U.S. cloud services potentially seeking alternative platforms in Europe, the Middle East, or other regions less affected by U.S. regulations.

QUICK HEATS

X seemingly blocks Taylor Swift searches - X seems to block Taylor Swift-related searches following the emergence of AI-generated explicit images of her. However, slight alterations to the search term bypass the block. X claims to be removing such images and acting against violators, as they breach policies against non-consensual nudity and manipulated media.

Morpheus-1 AI model triggers lucid dreams - Prophetic's AI, Morpheus-1, aims to enable and stabilize lucid dreaming using sound wave technology. Trained with transformer technology, it will be tied to a wearable headband, The Halo, in a beta program. Lucid dreams provide self-awareness and therapeutic benefits, while Morpheus-1 promises a safer induction method compared to traditional techniques that can disrupt sleep.

Younger employees use AI at work less than Gen X and millennials - An EY study suggests that Gen Xers and millennials use AI at work more than Gen Z, with 74% of millennials and 70% of Gen Xers reporting AI usage compared to 63% of Gen Z. Gen Z's lesser trust in AI is attributed to doubts about its value and efficacy, whereas Gen X leverages AI to stay current.

Microsoft's AI aims to bridge India's linguistic diversity, spanning 100+ languages - Collaborating with AI4Bharat, Microsoft has developed Jugalbandi, a chatbot assisting rural farmers in local languages, and VeLLM to enhance AI's performance in less-common tongues. These initiatives are part of Microsoft's broader AI for Good program, aiming to benefit health, environmental, and human development sectors. Success in India could model AI multilingual solutions globally, while also aligning with Microsoft's own AI product ambitions and its partnership with OpenAI's ChatGPT.

Innovative, contentious AI self-service checkout systems - The grocery sector has been experimenting with innovative methods to monitor customer activity. They introduced a high-tech shopping cart with AI capabilities along with advanced self-checkout systems that detect any unpaid items hidden in bags.

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