🤖 Institute Future - Funding and Structure
This article discusses the future plans for an institute, its funding requirements, and its organizational structure as composed of semi-autonomous modules.
Key Points:
• The institute's future plans are currently independent of existing structures.
• A new institute would consist of multiple semi-autonomous modules.
• Founding a new institute requires a substantial endowment of $200M to $250M.
🔗 Resources:
• C4 Computation ↗ - Information about the institute
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🤖 Institute Budget - Funding Needs
This article details the historical budget of an institute and discusses the funding requirements for establishing similar institutions.
Key Points:
• The institute's budget historically ranged from $9M to $13M.
• Establishing a new institute requires a significantly larger endowment.
• A $200M to $250M endowment is necessary to found a new institute.
🔗 Resources:
• C4 Computation ↗ - Institute information
✨ Research Collaboration - GRAG Finalist
This article highlights a research collaboration and its recognition as a finalist in the #LiveRAG Challenge at #SIGIR2025.
Key Points:
• Successful collaboration with Oleg Zendel, Damiano, rankun203, and Khoi Nguyen.
• Their work, GRAG, was named a finalist in the #LiveRAG Challenge at #SIGIR2025.
• The research paper is available for review.
🔗 Resources:
• @OlegZendel ↗ - Researcher
• @damiano10 ↗ - Researcher
• @rankun203 ↗ - Researcher
• #LiveRAG ↗ - Challenge
• #SIGIR2025 ↗ - Conference
• @SIGIRConf ↗ - Conference
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🤖 Wheeler's Computation Metaphors - Universe as Computer
This article presents Wheeler's 48 definition-metaphors for computation and the universe as a computer, referencing a note from the Wheeler repository at APS.
Key Points:
• Wheeler's 48 definition-metaphors for computation are explored.
• The concept of the universe as a computer is discussed.
• Dave Bacon's highlight of definition #39 is noted.
🔗 Resources:
• Wheeler Repository at APS ↗ - Wheeler's notes
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🤖 AI for Localization - Presentation at Microsoft Summit
This article summarizes a presentation on customizing AI agents for localization operations, given at the Microsoft Localization Summit.
Key Points:
• Presentation on customizing AI agents for localization operations.
• Discussion of challenges and potential of personalized workflows.
• Summit held at Microsoft EMEA HQ in Dublin.
🔗 Resources:
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💡 Career Decision - Financial Considerations
This post discusses the impact of financial considerations on career choices.
Key Points:
• Personal priorities, such as family and parental care, influence career decisions.
• A substantial financial offer could outweigh other career considerations.
• The author is open to exploring opportunities.
🔗 Resources:
• @finkd ↗ - Contact
🚀 Terrain Generation - Browser-Based Tool
This article describes a browser-based terrain generator lab built using Three.js.
Key Points:
• Real-time procedural landscape generation.
• Export capabilities for normal/height/color maps.
• Adjustable noise parameters and real-time previews.
🔗 Resources:
• @threejs ↗ - JavaScript 3D library
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🤖 Self-Adapting LLMs - SEAL Framework
This article introduces SEAL, a framework enabling LLMs to adapt without external tools or modules.
Key Points:
• LLMs generate their own training data and instructions.
• Self-edits are applied through supervised fine-tuning.
• Developed by MIT.
🔗 Resources:
• @MIT ↗ - Massachusetts Institute of Technology
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💡 Conference Concerns - Potential Conflicts of Interest
This article raises concerns about a potential conflict of interest involving the organizers of an international conference.
Key Points:
• Concerns raised about the conference's organization and peer review process.
• The program committee co-chairs are related to each other.
• Potential lack of impartiality in the review process.
🔗 Resources:
• @UTDCompSci ↗ - University of Texas at Dallas, Computer Science
• @UTDJonsson ↗ - Erik Jonsson School of Engineering and Computer Science
• @UT_Dallas ↗ - University of Texas at Dallas
• @IEEEorg ↗ - Institute of Electrical and Electronics Engineers
• @ComSoc ↗ - IEEE Communications Society
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✨ Early Cancer Detection - Blood Test
This article discusses a new blood test developed at Johns Hopkins that can detect cancer up to three years before conventional diagnosis.
Key Points:
• Detects cancer up to three years before conventional diagnosis.
• Analyzes DNA fragments from white blood cells.
• Identifies early immune responses associated with cancer.
🔗 Resources:
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