🤖 OpenAI’s $100 Billion “Stargate” Project

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Welcome back AI enthusiasts!

In today’s AI Report:

• 📡OpenAI’s $100 Billion “Stargate” Project

• 💥Elon Musk’s xAI Announces Grok-1.5?!

• 🏁AI21’s SSM-Transformer Model

• 🛠5 Trending Tools

• 💰Venture Capital Updates

• 💼Who’s Hiring?

Read Time: 3 minutes

🗞RECENT NEWS

OPENAI

📡OpenAI’s $100 Billion “Stargate” Project

Microsoft and OpenAI are reportedly planning a $100 billion data center project dubbed “Stargate” to provide millions of specialized server chips to power OpenAI’s research by 2028.

Key Details:

• Microsoft will likely finance the project, which is expected to be 100X more costly than the largest existing data centers, including Equinix DC2, which required $1 billion to support over 450 enterprises.

• The proposed U.S.-based data centers are part of a series of projects Microsoft and OpenAI plan to build over the next six years.

• OpenAI CEO Sam Altman structured his supercomputer goals across five phases, with “Stargate” as the fifth.

• According to The Information, Microsoft is developing a smaller, fourth-phase supercomputer for OpenAI to be launched around 2026.

• Expenses for “Stargate” could surpass $115 billion, more than triple Microsoft’s expenditures last year on capital spending for servers, buildings, and technical equipment.

Why It’s Important:

• In March, Nvidia CEO Jensen Huang told CNBC that the latest “Blackwell B200” processors designed to power AI applications will cost between $30,000 and $40,000. AI chips are expensive, and the primary provider is Nvidia.

• Microsoft and OpenAI are reducing reliance on Nvidia by streamlining access to computing power designed to work with chips from various suppliers like AMD, Intel, or Qualcomm.

• The massive scale of “Stargate” prevents constraints or bottlenecks on processing power that halt AI advancements.

🩺 PULSE CHECK

XAI

💥Elon Musk’s xAI Announces Grok-1.5?!

Elon Musk’s xAI announced Grok-1.5, the startup’s latest open-source AI model, showcasing enhanced reasoning capabilities on an impressive 128K context window.

Key Details:

• Grok-1.5 has noticeable improvements in long-context understanding and advanced reasoning, especially with coding and math tasks.

• The conversational chatbot achieved a 50.6% score on the MATH benchmark and a 90% score on the GSM8K benchmark, which covers a wide range of grade school to high school competition problems.

• Grok-1.5 scored 74.1% on the Human Eval benchmark, which evaluates code generation and problem-solving abilities.

• A new feature in Grok-1.5 is the capacity to process longer and more complex prompts up to 128K tokens (i.e., a fundamental unit of data processed by algorithms) within its context window (i.e., the amount of textual information AI models process for user queries).

• Rumors are circulating that Grok-1.5 will include an “Analysis” button to summarize threads and replies on X.

Why It’s Important:

• Grok-1.5 displays significant improvements in reasoning and problem-solving, making the conversational chatbot helpful for programmers or educators.

• By processing larger contexts, Grok-1.5 can analyze longer documents and follow complex instructions while maintaining accuracy, improving performance in research and analysis.

AI RESEARCH

🏁AI21’s SSM-Transformer Model

AI21 Labs unveiled Jamba, an AI model that combines the Mamba Structured State Space (SSM) with elements of traditional transformer architecture to process long sequences efficiently.

SSM analyzes the user’s prompt to focus on relevant information and discard irrelevant data to process the prompt faster.

Transformer architecture is a deep learning system (i.e., teaches computers to process data like the human brain) with a self-attention mechanism that weights the importance of each part of the prompt differently.

Key Features:

• Jamba boasts an impressive 256K context window, equivalent to 105,000 words or 210 pages.

• The AI model delivers 3X faster processing on extended contexts than a transformer-based model.

• Despite its large context window, Jamba only requires a single GPU with 80GB of memory.

• Jamba’s weights are available on Hugging Face here.

🛠TRENDING TOOLS

🍽AirtableAI effortlessly integrates AI models into your apps and workflows.

🧺Weavely builds and designs forms with incredible speed.

⛏Pickaxe creates AI-powered tools that earn money through paid subscriptions.

🏃‍♂️Mentor unlocks your potential with AI-powered goal management to achieve your goals like never before.

✂️AutoCut revolutionizes video editing with animated captions, B-rolls, and audio enhancements.

🔮Browse our always Up-To-Date AI Tools Database.

💰VENTURE CAPITAL UPDATES

• Skyflow raises a $30M Series B to expand its data privacy business to support new AI technologies.

• Google.org launches a $20M generative AI accelerator program.

• ThinkSono’s AI ultrasound guidance secures $2.7M to enhance DVT diagnosis.

💼WHO’S HIRING?

• Five9 (San Ramon, CA): PS Software Development Engineer Intern, Summer 2024

• Astranis (San Francisco, CA): Electrical Integration Engineer Intern, Fall 2024

• Second Order Effects (El Segundo, CA): Systems Integration/Test Engineering Intern, Fall 2024

• Next Insurance (Palo Alto, CA): Pricing Actuarial Analyst

• MobilityWare (Irvine, CA): Software Engineer I, Unity

🤖PROMPT OF THE DAY

EMPLOYEE ENGAGEMENT

🧳Gauge Employee Sentiment

Create 15 survey questions to ask employees in an employee engagement survey how they feel about the company’s [Strategic Decision (e.g., Cost Control)] through [List of Objectives (e.g., Layoffs, Budget Tightening, Cut Back on Travel)].

Strategic Decision = [Insert Here]

List of Objectives = [Insert Here]

📒FINAL NOTE

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