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  • šŸ¤– Elon Muskā€™s xAI Startup Drops $10 Billion Oracle Plan

šŸ¤– Elon Muskā€™s xAI Startup Drops $10 Billion Oracle Plan

PLUS: Japanā€™s Defense Ministry Unveils First AI Policy, GenSQL Adds GenAI to Tabular Data?!

Welcome back AI enthusiasts!

In todayā€™s AI Report:

  • šŸ¤Elon Muskā€™s xAI Startup Drops $10 Billion Oracle Plan

  • šŸ‡ÆšŸ‡µJapanā€™s Defense Ministry Unveils First AI Policy

  • šŸ“ŠGenSQL Adds GenAI to Tabular Data?!

  • šŸ› 5 Trending Tools

  • šŸ’°Venture Capital Updates

  • šŸ’¼Whoā€™s Hiring?

Read Time: 3 minutes

šŸ—žRECENT NEWS

XAI

šŸ¤Elon Muskā€™s xAI Startup Drops $10 Billion Oracle Plan

Image Source: Anadolu/Getty Images/ā€œTesla CEO Elon Muskā€

Elon Muskā€™s xAI startup and Oracle have ended discussions on expanding their server rental agreement for accessing Nvidia H100 Tensor Core GPUs to train and deploy AI models.

Key Details:
  • The discussions centered around a multi-year agreement with Oracle to provide cloud computing to xAI for training and deploying AI models.

  • The discussions broke down due to disagreements over timeline and power supply concerns.

  • On Tuesday, the news sent Oracleā€™s stock tumbling, with shares falling by 3% to close at $140.68.

  • Oracle recently signed a deal with Microsoft to provide over 100,000 of Nvidiaā€™s upcoming GB200 Blackwell Superchips for OpenAI.

  • Musk posted on X: ā€œWe must have our hands on the steering wheel rather than be a backseat driver.ā€

  • xAI plans to build its own data center in Memphis, TN, rather than relying on Oracleā€™s cloud infrastructure.

  • xAI expects to use over 100,000 Nvidia H100 Tensor Core GPUs to develop trillion-parameter language models and accelerate AI workloads.

  • Musk aims to capitalize on the data center to build expansive GPU clusters to improve parallel processing tasks.

  • Parallel processing refers to breaking down complex calculations required to train AI models into smaller, independent chunks that can be tackled simultaneously.

Why Itā€™s Important:
  • Cloud server agreements through technology giants like Oracle require lower upfront costs and less organizational effort than setting up your own data center.

  • However, in many cases, the long-term Total Cost of Ownership (TCO) of an in-house data center can be significantly lower than hosting the same resources in the cloud.

  • xAI building its own data centers and supercomputer configurations will be more cost-effective in the long run than massive cloud server agreements.

GLOBAL NEWS

šŸ‡ÆšŸ‡µJapanā€™s Defense Ministry Unveils First AI Policy

Image Source: Freddie Everett/Public Domain/Flickr

Japanā€™s Defense Ministry unveiled its first AI policy as the country seeks to address manpower shortages and keep pace with China regarding the technologyā€™s military applications.

Key Details:
  • The AI Policy outlines seven priority areas for AI deployment, including target detection, intelligence analysis, and unmanned systems.

  • Japan views AI advancements as a potential solution to the countryā€™s rapidly aging population, which is impacting military recruitment campaigns.

  • Japan references how China is working to ā€œsmartenā€ its military applications by using AI to pioneer unmanned weapon systems.

  • The AI policy also emphasizes human control over AI systems by ruling out fully autonomous lethal weapons.

  • The AI policy states: ā€œWeā€™re now at a crossroads between becoming an organization thatā€™s efficient and creates its own future through the use of AI or becoming an inefficient, old-fashioned organization that lags behind.ā€

Why Itā€™s Important:
  • Japanā€™s aging population and declining birth rates have posed challenges for military recruitment. AI advancements are viewed as an essential solution to maintain operational capabilities without relying solely on increasing human personnel.

  • Military leaders want to rely on AI systems to reduce battlefield uncertainty. However, relying on AI systems to make decisions introduces new uncertainty: technical failures in AI systems that deliver lethal force without human control.

šŸ©ŗ PULSE CHECK

Should the military utilize AI for Autonomous Weapon Systems (AWS)?

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AI RESEARCH

šŸ“ŠGenSQL Adds GenAI to Tabular Data?!

MIT researchers developed GenSQL, a GenAI system for traditional databases with tabular data, to detect anomalies, identify missing values, or generate synthetic data in seconds.

Tabular data refers to information organized in a structured format, like a classic table with rows and columns. Common examples include spreadsheets in Microsoft Excel or Google Sheets.

GenSQL is built on top of Structured Query Language (SQL), a programming language for database creation and manipulation used by millions of developers worldwide. In SQL, developers can ask questions about data using keywords by summing, filtering, or grouping database records.

GenSQL goes beyond filtering database records by incorporating probabilistic AI models into SQL. It expands the analytical power of SQL by leveraging probabilistic AI models to identify more complex relationships between data points.

For example, GenSQL can analyze medical data and identify a potentially abnormal blood pressure reading that falls outside a patientā€™s typical range, even though it might generally be considered normal.

This example illustrates how GenSQL leverages patient-specific data and probabilistic AI models to uncover critical insights on blood pressure ranges that traditional analysis might miss.

šŸ› TRENDING TOOLS

šŸ›’Proofs is the go-to-market for your APIs.

šŸ‘Validator researches and validates your micro-SaaS ideas.

šŸ’ŠPillserAsk helps you search for supplements and ask about health conditions.

āš™ļøCentral automates all the back-office tasks like payroll, benefits, and compliance.

šŸ’¬Poe lets you talk to leading AI models like OpenAIā€™s ChatGPT and Anthropicā€™s Claude 3 Opus.

šŸ”®Browse our always Up-To-Date AI Tools Database.

šŸ’°VENTURE CAPITAL UPDATES

  • AI video startup Captions secures a $60M Series C to promote 3D avatar content creation.

  • Hebbia closes a $130M Series B to use GenAI to search large documents and respond to large questions.

  • Enso raises a $6M Seed Fund to bring AI agents to Small and Medium-Sized Businesses (SMBs).

šŸ’¼WHOā€™S HIRING?

  • Palantir (Palo Alto, CA): Software Engineer Intern, Summer 2025

  • Tower Research Capital (New York, NY): Quantitative Trader Intern, Summer 2025

  • Hugging Face (Remote): Machine Learning (ML) Advocate Engineer Intern, Audio

  • NVIDIA (Santa Clara, CA): Research Scientist, Efficient Deep Learning, New Grad

  • Pinecone (San Francisco, CA): Senior Email Marketing Manager

šŸ¤–PROMPT OF THE DAY

ACCOUNTING

šŸ’µCash Flow Management

Share practical strategies for effective cash flow management for [Business] with [Product/Service] in [Industry] with [Revenue/Expenses].

Highlight techniques to optimize financial stability and growth in simple terms with examples.

Business = [Insert Here]

Product/Service = [Insert Here]

Industry = [Insert Here]

Revenue/Expenses = [Insert Here]

šŸ“’FINAL NOTE

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