In-depth articles with more detailed investigations, interesting thought pieces, and more.
The article, “From AGI to ROI: The 6 AI debates shaping enterprise strategy in 2024” by Matt Marshall sheds light on the current evolution of AI in the enterprise environment. As the initial euphoria over the capabilities of AI models such as ChatGPT fades, the focus shifts to practical applications and return on investment (ROI). …
Rodney Brooks, a renowned robotics expert at MIT, cautions against overestimating generative AI. Although he sees great potential in the technology, he cautions against attributing to it capabilities that it does not possess. Brooks criticizes the fact that people often overgeneralize the capabilities of AI systems, forgetting that AI is not human and therefore cannot …
Steve Chase, vice chairman for AI and digital innovation at KPMG, argues that companies need a chief AI officer (CAIO) to make the most of the opportunities presented by AI. This person should have technical understanding, strategic flair, and the ability to innovate. Chase advocates responsible AI governance that takes into account both rapid advances …
The use of the sparkle emoji ✨ in the context of artificial intelligence is controversial. While some companies are using the symbol to draw attention to AI-powered features, others are criticizing the combination of magic and technology. While the use of the emoji could lead to a unifying symbol for AI, experts warn of the …
This VentureBeat article addresses the question of which user interfaces are best suited for generative AI. The author notes that there is no one-size-fits-all answer, as the best UI depends on the application and the desired outcomes. He presents several examples of Gen AI applications that take different approaches: from chatbots like ChatGPT, which emphasize …
A new research report from Princeton University reveals weaknesses in current benchmarks and evaluation practices for AI agents. The researchers argue that cost control is often neglected in evaluation, even though the resource costs of AI agents can be significantly higher than those of individual model queries. This leads to biased results, as expensive agents …
In a previous Smart Content Report, I featured a funny illustrated guide generated by ChatGPT’s Dall-E: I find such “failures” interesting to see, because they can reveal fundamental problems. For example, we are still a long way from an AI that actually understands the world around it (“General World Model”). At the moment, these tools …
This article by Tim O’Reilly discusses the complex copyright issues surrounding the training and use of AI. He argues that instead of litigation, a solution must be found that benefits both AI developers and creators. O’Reilly suggests that AI companies should respect copyrights, provide attribution, and pay for results rather than training.
In his article for VentureBeat, Samir Kumar, co-founder of Touring Capital, analyzes the current AI hype cycle. He cautions against jumping to conclusions and reminds us of previous technology waves, such as the smartphone revolution. Kumar emphasizes that the first innovators are often not the long-term winners. He advises founders and investors to pay particular …
The article “Turning the Tables on AI” proposes an innovative approach to artificial intelligence. Instead of using AI as a substitute for your own thinking, the author argues for using it as a tool to promote critical thinking. He provides practical tips on how to use ChatGPT as an idea generator, question poser, and editor …