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- 🤖 OpenAI Co-Founder Ilya Sutskever’s New Company
🤖 OpenAI Co-Founder Ilya Sutskever’s New Company
PLUS: Microsoft’s Florence-2?!, AI Model Predicts Anxiety Levels
James Roesser
June 20, 2024
Welcome back AI enthusiasts!
In today’s AI Report:
📦OpenAI Co-Founder Ilya Sutskever’s New Company
📊Microsoft’s Florence-2?!
🧠AI Model Predicts Anxiety Levels
🛠5 Trending Tools
💰Venture Capital Updates
💼Who’s Hiring?
Read Time: 3 minutes
🗞RECENT NEWS
ILYA SUTSKEVER
📦OpenAI Co-Founder Ilya Sutskever’s New Company
Image Source: Jack Guez/AFP/Getty Images
OpenAI co-founder Ilya Sutskever launched Safe Superintelligence Inc. (SSI), a company focused on developing ways to reduce the long-term risks of “superintelligent” AI models.
Key Details:
Sutskever was OpenAI’s Chief Scientist and Superalignment Team co-leader before departing the company to pursue personally meaningful projects.
The Superalignment Team was built to address the question: “How do we ensure AI systems much smarter than humans follow human intent?”
After resigning as co-leader of the Superalignment Team, Jan Leike posted on X: “Safety culture and process have taken a backseat to shiny products.”
Sutskever started SSI Inc. to develop Artificial General Intelligence (AGI) with “safety, security, and progress insulated from short-term commercial pressures.”
Sutskever is starting the company with Daniel Gross, who oversaw Apple’s search engine efforts, and Daniel Levy, who led the Optimization Team at OpenAI.
Why It’s Important:
Sutskever explained that when implementing current AI models, “You talk to it, you have a conversation, and you’re done.”
SSI Inc. is fixated on general-purpose autonomous intelligent systems that perform specific tasks without human intervention. “We’re talking about a giant super data center that’s autonomously developing technology,” said Sutskever. “It’s the safety we want to contribute to.”
SSI Inc. still requires capital to build and scale “superintelligent” AI models, requiring investors who want to maximize profits and optimize investment returns.
🩺 PULSE CHECK
What do you think of Sutskever’s SSI Inc.?Vote Below to View Live Results |
MICROSOFT
📊Microsoft’s Florence-2?!
Image Source: Valeriano DiDomenico/swiss-img.ch/World Economic Forum
Microsoft’s Azure AI Team introduced Florence-2, a vision foundation model that handles a variety of vision and vision-language tasks, such as captioning and object detection.
Key Details:
Large Language Models (LLMs) are the heart of enterprise operations today. An LLM can provide meeting summaries, write marketing copies, and handle customer service operations.
Florence-2 can use satellite imagery to help corporations track the entire supply chain lifecycle, enabling more accurate material planning and production scheduling.
Florence-2 is trained on a massive dataset called FLD-5B, containing 5.4 billion annotations across 126 million images, allowing for multi-task learning.
Florence-2 has a sequence-to-sequence architecture in which one “language” (e.g., “images”) is translated into another “language” (e.g., “text”) through a two-step process.
This sequence-to-sequence architecture allows Florence-2 to handle many different tasks by translating between different types of information.
🚨Read Microsoft’s Florence-2 research paper here.
AI RESEARCH
🧠AI Model Predicts Anxiety Levels
Researchers at the University of Cincinnati developed an AI model that predicts anxiety levels using cognitive traits and contextual variables such as age, employment status, household income, perceived loneliness, and COVID-19 history.
Participants rate a series of emotion-evoking pictures and answer several contextual questions about their age, income level, and employment status.
The AI model extracts 15 “judgment variables” that capture patterns in how participants weigh positive and negative outcomes in decision-making.
The AI model generates a forest of decision trees by leveraging a balanced Random Forest Approach: a Machine Learning (ML) technique that combines multiple decision trees to reach a single result.
The AI model predicted whether participants had higher or lower anxiety levels with up to 81% accuracy.
🛠TRENDING TOOLS
💥Mojo is a logo animation tool.
🎓The Leap builds bite-sized learning products.
🏠RemodelAI creates a fully remodeled version of your home.
🎸Co-Producer helps music makers create free sample packs.
🛍SnapAR creates viral selfie lenses or builds shoppable try-on experiences.
🔮Browse our always Up-To-Date AI Tools Database.
💰VENTURE CAPITAL UPDATES
AccountIQ raises $65M to build “the finance function of the future.”
Pantera Capital plans to invest $200M in the intersection of AI and blockchain technology.
INOVAIT and the Government of Canada invest $10.7M in AI-enhanced image-guided therapy technologies.
💼WHO’S HIRING?
NVIDIA (Santa Clara, CA): PhD Research Intern, Generalist Embodied Research, Fall 2024
Radix (Chicago, IL): Quantitative Technologist C++ Intern, Summer 2025
Capstone Investment Advisors (New York, NY): Software Engineering Intern, Summer 2025
Veeva (Pleasanton, CA): Associate Performance Engineer, New Grad
Meta (Seattle, WA): Product Manager, Machine Learning (ML)
🤖PROMPT OF THE DAY
PITCHING
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Target Audience = [Insert Here]📒FINAL NOTE
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