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- 🤖 Tech Giants Collaborate to Build xAI’s Supercomputer
🤖 Tech Giants Collaborate to Build xAI’s Supercomputer
PLUS: Swallowable Robots Enter Clinical Trials, Meta’s Four New AI Models
Welcome back AI enthusiasts!
In today’s AI Report:
🦺Tech Giants Collaborate to Build xAI’s Supercomputer
💊Swallowable Robots Enter Clinical Trials
🦎Meta’s Four New AI Models
🛠5 Trending Tools
💰Venture Capital Updates
💼Who’s Hiring?
Read Time: 3 minutes
🗞RECENT NEWS
XAI
🦺Tech Giants Collaborate to Build xAI’s Supercomputer
Image Source: Joel Kowsky/NASA/Flickr
Nvidia, Dell Technologies, and Super Micro Computer are collaborating to build a factory for xAI’s supercomputer, which will train and scale the company’s AI projects.
Key Details:
Elon Musk’s xAI focuses on building AI models that accelerate human scientific discovery to advance “our collective understanding of the universe.”
xAI offers a conversational chatbot called Grok-1.5 and a multimodal AI model called Grok-1.5V to process visual information like charts, diagrams, documents, and screenshots.
Musk recently diverted a $500 million shipment of Nvidia H100 Tensor Core GPUs to power xAI’s AI projects.
Dell Technologies is assembling half the server racks for xAI’s supercomputer.
Super Micro Computer is providing liquid-cooling solutions to enhance energy efficiency, improve equipment reliability, and cut costs.
Why It’s Important:
Training AI models such as xAI’s Grok-1.5 requires tens of thousands of power-hungry processors in short supply.
In X Spaces, Musk explained that training Grok-2 took over 20,000 Nvidia H100 Tensor Core GPUs. Musk estimates that Grok-3 will require 100,000 Nvidia H100 Tensor Core GPUs.
ENDIATX
💊Swallowable Robots Enter Clinical Trials
Image Source: Canva AI Image Enhancer/Endiatx “PillBot”
Endiatx, a medical technology company developing robot pills for telemedicine, pioneered a swallowable robot called “PillBot.”
Key Details:
“PillBot” is 13mm by 30mm and transmits high-resolution video at 2.3 megapixels per second.
Simply put, “PillBot” is a pill-sized robot with a camera and propellers that the patient swallows.
Controlled remotely by a doctor, “PillBot” navigates the patient’s stomach and transmits a high-resolution video feed in real time.
Endiatx CEO Torrey Smith explained that “PillBot” is a “fountain of cheap data inside the human body.” He intends to offer data services to help fuel AI models in the medical field.
“PillBot” officially entered clinical trials, and Endiatx’s ultimate goal is to secure Food and Drug Administration (FDA) approval and launch commercially in the U.S. by 2026.
Why It’s Important:
Examining the Gastrointestinal (GI) tract requires endoscopy, a medical procedure where a doctor inserts a long, flexible tube with a camera called an endoscope into the body.
“PillBot” offers a less invasive alternative, potentially making the process more comfortable for patients.
Medical companies can leverage “PillBot” data to train AI algorithms. The AI models can then analyze the data, seek patterns, and identify abnormalities.
🩺 PULSE CHECK
How could you see “PillBot” data being used as a source for AI development?Vote Below to View Live Results |
AI RESEARCH
🦎Meta’s Four New AI Models
Meta’s Fundamental AI Research (FAIR) Group published an array of new open-source AI models that complete multimodal language tasks or detect synthetic speech.
The Five Main Takeaways:
AudioSeal: An audio watermarking AI model that detects AI-generated speech.
Chameleon: A new family of “early-fusion token-based” AI models with outputs containing mixed sequences of both images and text.
Multi-Token Prediction Model (MTPM): Trains language models to predict multiple future words at once.
Joint Audio and Symbolic Conditioning for Temporally Controlled Text-to-Music Generation (JASCO): A controllable text-to-music AI model that generates high-quality music samples conditioned on global text descriptions and fine-grained local controls.
PRISM Dataset: Maps the sociodemographic and stated preferences of 1,500 diverse participants from 75 countries. The dataset maps each person’s preferences and fine-grained feedback to 8,011 live conversations with 21 different LLMs.
🛠TRENDING TOOLS
🔐SecAI offers instant cybersecurity advice.
📦Replit builds, shares, and ships software fast.
🎯PaddleBoat perfects your sales pitch with realistic AI roleplays.
📊ThisorThis compares prompt responses from multiple AI models.
⚙️Skyvern is an open-source AI agent that automates browser-based workflows.
🔮Browse our always Up-To-Date AI Tools Database.
💰VENTURE CAPITAL UPDATES
PQShield secures a $37M Series B for “quantum-resistant” cryptocurrency.
Poolside seeks over $400M at a $2B valuation to build a supercharged coding co-pilot.
GrayMatter scores a $45M Series B for robots that accelerate manufacturing with “physics-informed AI.”
💼WHO’S HIRING?
Cranium (Short Hills, NJ): AI/ML Engineer Intern, Summer 2025
DE Shaw & Co. (New York, NY): Software Developer Intern, Summer 2025
NVIDIA (Santa Clara, CA): Datacenter GPU Power Architect, New Grad
Cohere (London, UK): Junior Backend Engineer, Endpoints
Lambda (San Jose, CA): Sourcing Manager
🤖PROMPT OF THE DAY
MARKETING
👏Leveraging Social Proof
Explain how [Business] with [Product/Service] in [Industry] can effectively harness the power of social proof in their marketing efforts.
Discuss various forms of social proof (e.g., customer testimonials, influencer endorsements, etc.) and provide examples of successful campaigns that have leveraged these strategies.
Business = [Insert Here]
Product/Service = [Insert Here]
Industry = [Insert Here]
📒FINAL NOTE
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