Learn about the latest AI/ML breakthrough - KAN enables dramatically smaller model sizes with orders of magnitude lower power consumption. https://lnkd.in/gkY4dQYH
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Transformative Business Leader | CEO | Board Advisor | P&L Expert Driving Strategic Growth & Innovation | Harvard & MIT Alumnus
I wanted to share the fascinating State of AI Report 2023, published by Nathan Benaich on October 12, 2023. This report offers a comprehensive overview of the current landscape of artificial intelligence, highlighting significant advancements and ongoing challenges. Key Insights from the Report: Dominance of GPT-4: GPT-4 has solidified its position as the leading LLM, outperforming other models on benchmarks and human-evaluated exams. This underscores the power of proprietary architectures and reinforcement learning from human feedback. Open Source vs. Proprietary Models: While big tech, like OpenAI, focuses on proprietary models, the open-source community, led by Meta AI’s LLaMa models, continues to innovate and provide powerful alternatives. Safety and Governance: The discussion around AI safety has become mainstream, with governments and regulators increasingly involved. However, global governance remains a complex issue, with differing approaches and a lack of concrete progress. Compute Power as a Competitive Edge: Companies like NVIDIA are experiencing record earnings as compute power becomes crucial in the AI arms race. The geopolitical landscape is also shifting, with trade restrictions impacting global dynamics. Real-World Breakthroughs: LLMs and diffusion models are driving significant advancements, particularly in molecular biology and drug discovery, showcasing AI’s potential to transform various fields. Challenges in Evaluation: Evaluating the robustness of state-of-the-art models remains a significant challenge, highlighting the need for better evaluation frameworks beyond the current "vibes-based" approaches. The report emphasizes that while it provides a detailed snapshot of the current state of AI, the field is evolving rapidly. Thus, this report should be viewed as a reference point rather than a definitive guide.
State of AI Report 2023
stateof.ai
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Artificial Intelligence takeover and its surpassing human intelligence have gained much attention. On the other hand, how would you describe limitations of AI? An example is presented in the following piece where a hypothetical experiment suggests that an AI system has limited capabilities as opposed to human intelligence. https://lnkd.in/d5R9uYpV
A Thought Experiment About Limitations Of An AI System
medium.com
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Here's a round up of AI insights from RAND, covering a wide mix of applications: https://lnkd.in/dUnwZxv4
The Rise of AI: Insights from RAND
rand.org
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A new technique can be used to predict the actions of human or AI agents who behave suboptimally while working toward unknown goals. | Click below to read the full article on Sunalei
To build a better AI helper, start by modeling the irrational behavior of humans
https://sunalei.org
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Digital innovator delivering digital solutions to help users improving business processes and building business intelligence by creating solutions with tools like Microsoft Power Platform;Specialty in R&D Data Management
Here is a view against AI hype. It’s good to have a balanced view. https://lnkd.in/g34eR9ez
Just 1 in 4 AI tasks will be cost effective in 10 years - MIT professor (NASDAQ:NVDAi
seekingalpha.com
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IBM is angling hard for an AI comeback story, and CEO Arvind Krishna is counting on a recent pivot to get it there. Get more details on this story and other news in the latest edition of the watsonx Pulse. https://lnkd.in/gmM4FTvc Stay up to date on the latest Generative AI developments by joining the watsonx Community. https://lnkd.in/ew5frS4Z #watsonx #ibmtechxchange
watsonx Pulse - Weekly AI News Alert - Dec. 12
community.ibm.com
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Insights on AI from pioneers like Vinton G. Cerf are invaluable. Hear how AI not only transforms industries and automates routine tasks but also pioneers new frontiers in scientific discovery ensuring that AI serve as a tool for inclusive and sustainable growth across all sectors. Click here: https://sap.to/6042RVdbq
AI: The Future of Intelligence
google.smh.re
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Chief Artificial Intelligence Officer | Fractional Officer Services | AI Team Recruiting and Training | AI Agents and Agentic Solutions
This exploration into the convergence of generative and numerical AI, as explained by Peter Zornio, provides a glimpse into a future where technology and human expertise blend seamlessly to drive industrial advancement. As these tools become more intertwined, the opportunities for transformation across all sectors of manufacturing and beyond are immense. https://lnkd.in/gXRzpYU2
The end-to-end AI chain emerges - it's like talking to your company's top engineer
msn.com
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Chairman, Board Member and Advisor, CEO, COO, CTO, CIO, Founder, Investor in technology - $2B P&L, Start-Ups, Turn-Arounds, M&A, Growth Acceleration, Global Experience, Strategy, Restructuring, AI, ML, Cyber, Analytics.
Modeling human behavior is the goal of building AI systems that can effectively collaborate with humans. Enjoyed this article. https://lnkd.in/gugPWCab #ModelingHumanBehavior #BuildingAISystems #CollaboratingWithHumans #AIHelper #redsummitglobal
To build a better AI helper, start by modeling the irrational behavior of humans
news.mit.edu
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Exploring the future of Generative AI (GAI) unveils a landscape filled with potential. Yet, as we navigate this terrain, the need for transparency, reproducibility, and safety becomes increasingly clear. The commercialization of #GAI has sparked a debate on these critical issues, shedding light on the practice of 'openwashing.' By setting new standards for the completeness and openness of machine learning models, the MOF aims to pave the way for a more transparent, reproducible, and safe AI future. Learn more about how the MOF is transforming the #AI landscape in our comprehensive white paper. ➡ https://lnkd.in/eFU-CC2T #opensource #lfaidata #linuxfoundation #genai
The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency and Usability in AI
arxiv.org
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