Stanford Institute for Human-Centered Artificial Intelligence (HAI)’s Post

Attending the HAI fifth anniversary and listening to Fei-Fei Li, Marc Andreessen, Tino Cuéllar, David Siegel, Jon Levin, and others was incredibly insightful. A few takeaways that influenced my perspective: 1. 𝗠𝗼𝗱𝗲𝗿𝗻 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝘁𝗿𝗶𝗮𝗻𝗴𝗹𝗲: Viewing software/technology as a triangle with nodes being startups, open source, and academia—similar to the project management triangle—provides an interesting perspective on innovation. 2. 𝗢𝗽𝗲𝗻 𝘄𝗲𝗶𝗴𝗵𝘁 𝘃𝘀. 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲: Open weight is commonly alluded to as open source. However, understanding the distinction between open weight and open source is helpful in guiding policy-making. From the modern technology triangle perspective, we recognize that open source directly impacts both academia and startups. 3. 𝗛𝗶𝘀𝘁𝗼𝗿𝗶𝗰𝗮𝗹 𝗽𝗮𝗿𝗮𝗹𝗹𝗲𝗹𝘀: Marc Andreessen's comparison between recent AI legislations and the 1980s nuclear energy policies of the US and Germany is thought-provoking. See minute 03:56. 4. 𝗙𝗹𝗲𝘅𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗶𝗻 𝗽𝗼𝗹𝗶𝗰𝘆 𝗺𝗮𝗸𝗶𝗻𝗴: In the face of rapid advancements in AI, Tino Cuéllar’s reference to the Delaney Clause underscores the need for building flexibility in the policy. 5. 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗲𝗱 𝗴𝘂𝗮𝗿𝗱𝗿𝗮𝗶𝗹𝘀: With recent advancements, guardrails can now be integrated into LLM capabilities to enable degradation of the model performance in case these guardrails are breached. Peter Henderson’s work is a good reference on this. As we navigate the fast evolving AI landscape and integrate AI into business, such insights from thought leaders are helpful in building an informed AI strategy.

The NSF AI Institute for Artificial and Natural Intelligence (ARNI) is working to bridge decades of #artificialintelligence and #neuroscience research to broaden understanding and progress in both of these intricate fields. Learn more about their research and goals in the Q&A with their Director below: #ai #learning #research #neuralpathways #machinelearning #ml #reasoning #language

For folks interested in my continuing utterances on this, another webinar focusing on the topic of AI & SRE/DevOps/operations/etc. This time, we'll be focusing a bit more on the slightly more reasonable approach of human-in-the-loop automation. Register and hear what we have to say! (And thank you to Tina Huang and Divanny Lamas and Jessica Abelson for facilitating).

AI on the Brain: A Q&A with Richard Zemel ARNI Director Zemel discusses Columbia’s new NSF-funded AI institute and how it will connect major progress made in AI systems to the revolution in our understanding of the brain. Read more: https://lnkd.in/etNSNZX4

Discover why 61% of executives with an innovation strategy rely on AI to uncover missed data opportunities. Join our hands-on AI Introduction course and learn how to leverage AI for transformative insights. Book your seat today. https://lnkd.in/eUmzzcDY

Discover why 61% of executives with an innovation strategy rely on AI to uncover missed data opportunities. Join our hands-on AI Introduction course and learn how to leverage AI for transformative insights. Book your seat today. https://lnkd.in/e_RJBnr8

AI was the main topic in ETH Denver. Below the link to the recorded sessions https://lnkd.in/eM7nZi9q

the value of canonical research in AI research https://lnkd.in/g_NhHHpN

I had the pleasure of sitting down again with Mr. Wilson Alvarez, President of GKBA, to follow up on our discussion on genAI and how individuals and/or companies can leverage AI. Link to discussion below. https://lnkd.in/e-JR3qQE

How to Reconcile the First Problem of Humanity in the Age of AI Read the Full Article Here https://lnkd.in/dCU-vPbm