AI

This Week in AI In the tech industry, the speed at which new models and breaking news are published has shifted from a competitive race to an overwhelming avalanche. This rapid pace of innovation and release cycles is reshaping the landscape, making it increasingly challenging for non-tech companies to keep up.

In the rapidly evolving landscape of generative AI, users often find themselves at a crossroads between marveling at the technology’s capabilities and grappling with its underlying mechanics. Anthropomorphism, the attribution of human traits to non-human entities, is a phenomenon that almost every user experiences, particularly during their initial interactions with generative AI models. This emotional attachment can either be seen as a bridge or a barrier in the effective utilization of AI technologies.

Catch our founder, Stephane Monsallier on Panda Profits Pdocast. A super interesting conversation with Daniel Bateman, diving into all things AI! Full interview here: https://youtu.be/i5fnWOhfCAM

Level 1: Mastering Prompt Engineering with RCFC Dive into the world of AI with our Level 1 training program focused on Prompt Engineering. This course introduces the RCFC model, a unique framework that translates complex thoughts into actionable AI prompts, setting this course apart from others. Learn the importance of both positive and negative examples to understand why AI hallucinates and how it avoid it.

Google’s ambitious plan to showcase its Gemini AI assistant at the 2024 Paris Olympics hit a snag following a significant backlash against its “Dear Sydney” commercial. The ad, intended to highlight the inspirational connection between Olympic medalist Sydney McLaughlin and a young fan, instead sparked controversy over its portrayal of AI’s role in personal human interactions. So, Google had to pull the ad.

The rapid advancement of artificial intelligence (AI) technology has sparked widespread debate and speculation about its potential impact on the global economy, businesses, and knowledge workers. While some want to believe that AI as a transformative force capable of exponentially boosting productivity and economic growth, others caution against overly optimistic projections. To navigate these divergent views, it’s essential to analyze the AI revolution through a macroeconomic lens, assess its implications at the company level, and understand its effects on individual employees.