Every technological inflection point underdelivers in the near term and fails to fulfill the wild promises of its most zealous prophets. The question is not whether there is excess hype around GenAI—there most certainly is. The question is not whether there is a GenAI bubble—again, yes, certainly. The question is whether there is signal in all this noise. When you look beyond the nonsense, is there a genuine breakthrough that merits investment in dollars and attention? At LexFusion, we believe the answer is in the affirmative—even though we do not concur with every wild claim made about humanity’s AI-enabled future.
Recommended Reading
In a recent opinion piece, Josh Tyrangiel discusses the dual perspectives on AI, highlighting concerns and potential benefits. He emphasizes the need for thoughtful preparation and a balanced outlook.
The article underscores the transformative potential of AI and emerging technologies, highlighting the unique characteristics of the current technological wave. It emphasizes that AI, along with synthetic biology, quantum computing, and new energy sources, will lead to a widespread redistribution of power, different from previous technological advancements. Unlike earlier waves, AI empowers individuals and organizations of all sizes, accelerating what's achievable and accessible. This democratization of technology will reshape society, impacting established professions and institutions. The article calls for proactive measures, including "containment" strategies, to manage and regulate these technologies for the benefit of all, recognizing the unprecedented nature of the changes underway.
Drivers using phones or not wearing seatbelts have been identified by the AI camera system.
AGI doom reminds me rather strongly of crypto bubbles.
ChatGPT is a development on par with the printing press, electricity and even the wheel and fire, says former US Treasury Secretary
@LHSummers
GPT-4 surprised many people with its abilities at coding, creative brainstorming, letter-writing, and other skills. How can we be less surprised by developments in machine learning? In this post, I’ll forecast the properties of large pretrained ML systems in 2030.
A new deep learning application provides an automated screening strategy for left ventricular (LV) systolic dysfunction. It can detect previously hidden
The cacophony of alarms around generative AI has left leaders disoriented and concerned, particularly given that generative AI is available to everyone within their organizations, not just data scientists. There are at least four cross-industry risks that organizations need to get a handle on: the hallucination problem, the deliberation problem, the sleazy salesperson problem, and the problem of shared responsibility. Understanding these risks in detail can help companies plan how they want to address them.
In two recent conversations with very thoughtful journalists, I was asked about the apparent ‘schism’ between those making a lot of noise…
Mustafa Suleyman, founder of Inflection, discusses the future of AI, emphasizing the shift towards interactive AI that can carry out tasks and the need for robust regulation. He believes technology can be controlled, citing past examples of successful regulation.
Go deep into the insights of a dozen Gen AI experts who helped clarify what risks we actually may face as well as point out responsible ways forward
Introduction
I recently watched Eliezer Yudkowsky's appearance on the Bankless podcast, where he argued that AI was nigh-certain to end humanity. Sin…