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AGI Gold Rush: $100B Profit Target!

ALSO : AI are taking the lead on research ?

Hey Synapticians 😀

We wish you, your family, and your friends all the best for this year. Lots of good things, exciting projects with data and AI. We hope you’ll fully understand this world of AIs, stay updated on the latest advancements, and sort out what’s true and what’s not. In short, enjoy Synaptiks! 😉 Feel free to wish us lots of subscribers (Synapticians) in return, share this newsletter if you like it, and give us your feedback.

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Top AI news

1. Microsoft and OpenAI Define AGI with $100 Billion Benchmark
A TechCrunch report reveals that Microsoft and OpenAI have established a financial definition of artificial general intelligence (AGI). Under a 2023 agreement, AGI is achieved when OpenAI’s systems generate $100 billion in profit. This contrasts with the public’s understanding of AGI as systems surpassing human capabilities across most economic tasks. OpenAI anticipates losses until 2028 but projects $100 billion in revenue by 2029. This profit-focused approach may redefine AGI and influence Microsoft’s access to OpenAI’s technology once the financial target is met. The partnership highlights the growing intersection between AI advancements and corporate financial goals.

2. MIT's SciAgents: AI Framework for Autonomous Hypothesis Generation
MIT researchers have introduced SciAgents, an AI-driven framework designed to autonomously generate and assess research hypotheses. Comprising multiple specialized AI agents, SciAgents utilizes graph reasoning to organize and define relationships among diverse scientific concepts. This multi-agent system mirrors biological organizational principles, enabling efficient hypothesis generation in areas such as biologically inspired materials. By automating the initial stages of research development, SciAgents aims to accelerate scientific discovery and innovation, fostering human-AI collaboration to address complex research challenges across various disciplines.

3. Probability: The Non-Existent Essential Tool
The article delves into the philosophical debate surrounding the existence of probability, contrasting frequentist and Bayesian interpretations. It argues that probability may not be an inherent property of the world but rather a conceptual framework devised to manage uncertainty. Despite the lack of consensus on its ontological status, probability remains a cornerstone in statistical analysis and scientific inquiry, enabling researchers to make predictions and informed decisions across various disciplines. The discussion underscores the complexity of defining probability while acknowledging its practical indispensability in understanding and navigating the uncertainties inherent in empirical research.

Bonus. 2024 AI Models Timeline—Key Releases and Major Updates Unveiled
This article provides a comprehensive timeline of key AI model releases in 2024, including major launches like GPT-4o, Claude 3, and Apple Intelligence. It categorizes models by accessibility—API-only or open weights—and highlights tools empowering developers and researchers. Created by VB with DeepSeek v3 and open-source tools, the timeline demonstrates the rapid evolution and democratization of AI technologies. The article emphasizes how these advancements enhance accessibility, making AI tools more adaptable and versatile for diverse applications.

Sound of the Day

🎉✨ Happy New Year to our wonderful subscribers! Here’s a little treat for you—a special song made with Suno. Enjoy and let’s make this year unforgettable! 🎶❤️

Theme of the week

Meeting Productivity - The AI-Venger
Luc Julia, co-creator of Siri, transformed human-computer interaction by pioneering voice assistants. Discover his journey and AI insights in our detailed review.

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