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- š¤ Tech Giants Collaborate to Build xAIās Supercomputer
š¤ Tech Giants Collaborate to Build xAIās Supercomputer
PLUS: Swallowable Robots Enter Clinical Trials, Metaās Four New AI Models
Welcome back AI enthusiasts!
In todayās AI Report:
š¦ŗTech Giants Collaborate to Build xAIās Supercomputer
šSwallowable Robots Enter Clinical Trials
š¦Metaās Four New AI Models
š 5 Trending Tools
š°Venture Capital Updates
š¼Whoās Hiring?
Read Time: 3 minutes
šRECENT NEWS
XAI
š¦ŗTech Giants Collaborate to Build xAIās Supercomputer
Image Source: Joel Kowsky/NASA/Flickr
Nvidia, Dell Technologies, and Super Micro Computer are collaborating to build a factory for xAIās supercomputer, which will train and scale the companyās AI projects.
Key Details:
Elon Muskās xAI focuses on building AI models that accelerate human scientific discovery to advance āour collective understanding of the universe.ā
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 xAIās AI projects.
Dell Technologies is assembling half the server racks for xAIās supercomputer.
Super Micro Computer is providing liquid-cooling solutions to enhance energy efficiency, improve equipment reliability, and cut costs.
Why Itās Important:
Training AI models such as xAIās 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
šSwallowable Robots Enter Clinical Trials
Image Source: Canva AI Image Enhancer/Endiatx āPillBotā
Endiatx, a medical technology company developing robot pills for telemedicine, pioneered a swallowable robot called āPillBot.ā
Key Details:
āPillBotā is 13mm by 30mm and transmits high-resolution video at 2.3 megapixels per second.
Simply put, āPillBotā is a pill-sized robot with a camera and propellers that the patient swallows.
Controlled remotely by a doctor, āPillBotā navigates the patientās stomach and transmits a high-resolution video feed in real time.
Endiatx CEO Torrey Smith explained that āPillBotā is a āfountain of cheap data inside the human body.ā He intends to offer data services to help fuel AI models in the medical field.
āPillBotā officially entered clinical trials, and Endiatxās ultimate goal is to secure Food and Drug Administration (FDA) approval and launch commercially in the U.S. by 2026.
Why Itās 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.
āPillBotā offers a less invasive alternative, potentially making the process more comfortable for patients.
Medical companies can leverage āPillBotā data to train AI algorithms. The AI models can then analyze the data, seek patterns, and identify abnormalities.
š©ŗ PULSE CHECK
How could you see āPillBotā data being used as a source for AI development?Vote Below to View Live Results |
AI RESEARCH
š¦Metaās Four New AI Models
Metaās 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 āearly-fusion token-basedā 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 personās preferences and fine-grained feedback to 8,011 live conversations with 21 different LLMs.
š TRENDING TOOLS
šSecAI offers instant cybersecurity advice.
š¦Replit builds, shares, and ships software fast.
šÆPaddleBoat perfects your sales pitch with realistic AI roleplays.
šThisorThis compares prompt responses from multiple AI models.
āļøSkyvern is an open-source AI agent that automates browser-based workflows.
š®Browse our always Up-To-Date AI Tools Database.
š°VENTURE CAPITAL UPDATES
PQShield secures a $37M Series B for āquantum-resistantā 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 āphysics-informed AI.ā
š¼WHOāS 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
š¤PROMPT OF THE DAY
MARKETING
šLeveraging 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]
šFINAL NOTE
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