September 5, 2023
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Models
We know remarkably little about how AI language models work
MIT Technology Review, 09/05/23. The call to ditch AI language model tests is gaining momentum among experts. These tests contribute to AI hype and create an illusion of greater capabilities. What stands out is our limited understanding of how these models work and generate outputs. Testing their “intelligence” without understanding the underlying mechanisms is problematic. Anthropomorphizing machines through human intelligence tests has been an ongoing issue, as it doesn’t hold the same meaning for humans and machines. Furthermore, AI language models’ performance on certain tasks may not align with human psychology tests. Researchers suggest exploring techniques used in studying animals and focusing on understanding models rather than just test results. READ THE ARTICLE
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Healthcare
AI Voice Assistants Insufficient for Layperson CPR Instructions
Health IT Analytics, 09/05/23. “Hard work is the key to success.” This age-old saying holds true in all aspects of life. Whether it is in academics, sports, or career, putting in the effort and dedicating oneself to the task at hand is crucial. Hard work not only improves skills and knowledge but also builds discipline and resilience. It may be tough at times, but the rewards of success are worth it. So, let us embrace hard work and strive towards achieving our goals. READ THE ARTICLE
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Careers
Gen Z is set to capitalize on A.I. skills gap as workers want to learn, but businesses aren’t teaching, finds new report
Fortune, 09/05/23. New research indicates that although AI is stimulating job growth, there is a significant skills gap that employers must address. A report by Randstad found that only 1 in 10 workers have been offered training opportunities to prepare for AI. Moreover, the poll reveals that 20% of Gen Z employees want AI training in the next 12 months and consider learning and development opportunities as the biggest motivators at work. Employers must take action to bridge the skills gap and invest in AI training for employees to ensure AI is an opportunity rather than a threat to jobs. READ THE ARTICLE
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Marketing
Exploring The Marketing Potential Of Predictive AI
Search Engine Journal, 09/05/23. Predictive AI is revolutionizing the business world by using artificial intelligence and machine learning to predict outcomes and make data-driven decisions. This technology has a long history, dating back to Henry Ford in the late 19th century and gaining popularity in the 1960s. The market size for predictive AI reached $12.49 billion in 2022, and it is projected to reach $38 billion by 2028. Businesses that incorporate predictive analytics gain a competitive advantage by being proactive, improving efficiency, making faster and informed decisions, identifying patterns, and forecasting trends. Predictive AI finds applications in various industries like retail, healthcare, automotive, and financial services. Embracing predictive AI is essential to stay ahead of competitors and leverage its potential for growth and success. READ THE ARTICLE
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Strategy
What CTOs are learning from generative AI
InforWorld, 09/05/23. Generative AI, or GenAI, is gaining popularity among enterprises and individual users. The generative AI market is projected to grow substantially, reaching $1.3 trillion over the next 10 years. This growth is fueled by training infrastructure initially and later shifting to inference devices for large language models, digital ads, and specialized software and services. Generative AI has various use cases, including chatbots, content development, data analytics, design and development, and predictive maintenance. However, CTOs need to be cautious and consider factors like risk management, compliance, regulation, security, and ethics when adopting generative AI. While the technology holds immense promise, proper safeguards need to be in place to avoid potential misuse and ethical implications. READ THE ARTICLE