Plus AI CES 2024 Wraps Up:
AI will bring about the fastest technological revolution in human history, prompting concerns over society’s adaptive capacity. Sam Altman, the CEO of OpenAI, expressed his worries on a podcast hosted by Bill Gates. Altman believes that while humanity has proven to be adaptable in the face of massive technological shifts, the speed of the AI revolution poses a significant challenge. He fears that the labor market will undergo rapid transformation, potentially leaving some individuals unable to keep up. Altman’s concerns reflect the experiences of those who have already witnessed their work being affected by AI, as some companies have conducted layoffs, attributing them to the implementation of AI tools.
AI stole the show at CES 2024 with its presence in a range of innovative hardware products. From a pillow that reduces snoring to a smart mirror for mental wellness, companies are finding unique ways to incorporate AI into everyday products. Other notable AI-infused devices include a fitness tracker for dogs, a multi-purpose yard robot system, an AI-powered walking support device, a hologram communication system, and a handheld stress-reducing device.
CES 2024, the world’s largest consumer electronics trade show, has showcased a range of groundbreaking AI applications. Among them are the BMind smart mirror, which offers personalized recommendations for well-being based on the user’s mental state, and the DeRUCCI T11 Pro Smart Mattress, which uses AIoT technology to provide optimal sleep. Holoconnects unveiled the Holobox, an innovative holographic solution, while Nobi’s Smart Lamp detects and prevents falls among the elderly.
Coursera CEO Jeff Maggioncalda believes that AI will create more job opportunities than it renders obsolete, especially in the STEM field. However, the overall impact of AI on job creation and elimination is complex and sector-specific. AI is already transforming industries like healthcare, retail, technology services, government, and financial services. Ajay Setia, CEO of InvincibleMeta.AI, predicts that AI will continue to create opportunities until the introduction of AGI in the next 10-15 years. India has the potential to add billions to its GDP through Gen AI adoption, with the business services sector expected to see the most impact. The EY report suggests that instead of supplanting humans, Gen AI will augment human capabilities and boost productivity in various sectors.
In a race to be the largest U.S. company, Microsoft briefly surpassed Apple in market value, highlighting the impact of AI on the shift in dominance among tech giants. Microsoft’s strong performance over the past year, driven by its AI initiatives and partnerships with OpenAI, has propelled it closer to Apple’s market cap. The battle between the two companies reflects Microsoft’s AI-fueled rise and Apple’s challenges, including a potential antitrust case by the Department of Justice. Experts predict that Microsoft is well-positioned for the upcoming AI boom, which is expected to reshape the tech sector significantly.
The impact of AI on design, marketing, and communication has been widely acknowledged. However, amidst the excitement, some limitations must be recognized. When it comes to crafting a brand’s tone of voice, AI falls short. While AI tools claim to write like humans, they lack the empathy, authenticity, and context that make a tone of voice successful. AI can process data and provide binary outcomes, but it cannot truly understand the intricacies of human emotion and connection. Cultural nuances, societal sensitivities, and the evolution of a brand over time are complex concepts that AI struggles to comprehend. Ultimately, a human touch is essential for crafting a brand’s tone.
A new study by Boston Consulting Group reveals that despite the growing buzz around generative AI tools, business executives are still hesitant to fully embrace the technology. Approximately 90% of executives are taking a cautious “wait and see” approach, either refraining from trying out AI or experimenting with it in limited ways. However, the study also shows that executives are warming up to the technology, with 95% allowing AI and generative AI in the workplace. The report suggests that CEOs are waiting for the hype to subside and for their teams to gain the necessary expertise before fully integrating AI. Nevertheless, most executives plan to increase their investments in AI in 2024.
OpenAI, the creator of ChatGPT, has admitted that “leading AI models” rely heavily on copyrighted books and articles, raising concerns about fair use and copyright infringement. AI companies have argued that generative AI “reads” or “learns from” this material, but recent lawsuits suggest that some models are capable of reproducing copyrighted texts verbatim. If AI companies are required to compensate authors for their work, it could have a significant impact on the technology. However, rebuilding models on open or licensed sources could improve relations between AI companies and authors. The issue is part of a larger legal debate about fair use in the AI industry.
The rise of generative AI in the gaming industry took center stage at CES 2024, sparking confusion and outrage. Nvidia’s Ace microservice, capable of creating fully voiced AI characters in games, faced backlash due to concerns about stolen training data and its potential impact on real designers and actors. SAG-AFTRA’s deal with Replica Studios to train AI on data from consenting actors also received criticism from members of the actors’ guild.
In a groundbreaking research study conducted by scientists at Columbia University, AI has revealed a surprising revelation: our fingerprints may not be as unique as we once thought. This discovery challenges the long-standing belief that fingerprints are an infallible means of identification. Using a dataset of 60,000 prints, the AI technology achieved an impressive 75-90% accuracy rate in identifying prints from the same individual, but researchers are uncertain about the underlying mechanisms behind this accuracy. Unlike traditional forensic methods that focus on minutiae, the AI may be analyzing other factors such as the curvature and angle of the ridges. While these findings may not have an immediate impact on the field of forensics, further research and discussion are warranted. The study’s findings will be published in the upcoming issue of the journal Science Advances.
Researchers have used AI to design a new catheter that could significantly reduce bacterial contamination and the risk of catheter-associated urinary tract infections (CAUTIs). The new catheter boasts a unique interior that is studded with three-dimensional geometric shapes, preventing bacteria from gaining traction. This design acts as an obstacle course for bacteria, impeding their progress and reducing the chances of infection. In tests, the new catheter built up almost 100 times fewer bacterial colonies compared to a traditional catheter. The novel design could potentially eliminate the need for expensive and ineffective antibiotic coatings and prolong the lifespan of catheters. Although further testing is required, this breakthrough could have far-reaching implications in the medical field and beyond.
GenAI, or generative artificial intelligence, has become a popular tool in the sales and marketing industry, promising to solve content-related challenges. By analyzing vast amounts of data, AI can predict consumer behavior and aid in sales forecasting. However, there is a misconception that GenAI is inherently creative or remarkable in its responses. While AI can provide valuable insights and assist with tasks such as research, content summarization, and grammar checks, it cannot truly think, interpret, and leverage data as humans do. Exceptional companies understand that statistically probable content may not drive exceptional results, and the key to GenAI’s success lies in connecting it to specific business activities to generate optimized content tailored to brand, culture, and customer personas. In the future, as AI models merge with real-world experiences, there is a statistical probability that human creativity can be injected into GenAI, leading to innovative results.
Billion-dollar businesses built on AI are on the rise, but how should the value of AI be monetized for both vendors and customers? Like the advent of cloud computing, AI represents a new era in software development and consumption. The traditional seat-based pricing model no longer applies when it comes to AI-powered tools that focus on getting more work done with fewer users. Instead, the value of AI is now measured by the tasks it can autonomously perform, making it more analogous to a human worker and requiring a shift in business models. As companies adapt to this new paradigm, different pricing models for AI-powered solutions, such as different price points based on capabilities or specializations, will emerge. The transition to AI-era business models won’t be effortless, but it promises to revolutionize the industry and capture the vast potential of AI technology.