Sean Breeden

Full Stack PHP, Python, AI/ML Developer
""You miss 100% of the shots you don't take. -- Wayne Gretzky"" --Michael Scott

AI News 4/18/2024

Thursday, April 18th, 2024

'Bad at almost everything': AI wearable panned by reviewers

The AI Pin, developed by Humane, is a wearable device aimed at transforming the human-technology relationship, but has been critically panned for its poor performance, including functionality issues like poor battery life and overheating. Despite its innovative concept of projecting images onto the user's hand and costing $700 with a $24.99 monthly subscription, renowned tech reviewer Marques Brownlee and others have criticized it harshly. Available only in the US, Humane acknowledges the device's shortcomings and plans further updates, but the negative reception has sparked broader questions about the feasibility and future impact of new AI-driven gadgets in challenging traditional technology like smartphones.


One Effect of the AI Revolution: The Number of Chief AI Officers Has Tripled

The rise of artificial intelligence in the business world has led to a significant increase in the number of Chief AI Officers (CAIOs), a role that has tripled in prevalence over the past five years according to LinkedIn data. CAIOs are charged with overseeing AI deployment within organizations, enhancing workforce efficiency, identifying new revenue opportunities, and addressing ethical and security concerns. This expansion reflects AI's growing impact across various sectors, not just in technology firms but also in industries like healthcare and finance. The role of the CAIO, which includes educating staff on AI capabilities and managing change, parallels broader political movements, such as the Biden administration's regulatory steps on AI. While the future permanence of the CAIO role remains uncertain, its current growth indicates a substantial shift in how businesses adapt to and integrate advanced technologies.


Artificial Intelligence Stocks: The 10 Best AI Companies

Artificial intelligence (AI), automation, and robotics are significantly impacting various industries, with notable advancements including OpenAI's ChatGPT, GitHub's Copilot, and Google's Gemini AI model. The integration of AI technologies is now critical for companies to maintain competitiveness, with roles like the Chief AI Officer (CAIO) becoming more prevalent to manage AI deployment and strategy. Leading companies heavily investing in AI include Microsoft, which has infused $13 billion into OpenAI and integrated AI across its platforms; Google, which uses AI in everything from ad pricing to spam filters; Amazon, which leverages AI in its AWS offerings; and Nvidia, known for its high-end AI chips driving significant revenue and income growth. These companies, among others like Meta Platforms, Taiwan Semiconductor, and Adobe, are highlighted as top AI stocks by Argus, reflecting their deep integration of AI into their business strategies and operations.

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What’s next for AI in 2024

The MIT Technology Review's "What's Next" series revisits their 2023 predictions, assessing their accuracy and setting new expectations for 2024. Last year, they successfully predicted the rise of multimodal chatbots, like OpenAI's GPT-4 and Google DeepMind's Gemini, and tougher AI regulations with Biden’s executive order and the EU’s AI Act. However, the anticipated shift in influence from Big Tech to open-source startups was only partially correct, and the impact of AI on drug discovery remains uncertain. For 2024, they anticipate significant developments in AI-driven customization, enabling users to create tailored chatbots with no coding, leveraging platforms from tech giants like Google and OpenAI. Furthermore, generative AI is expected to advance into video, potentially transforming media production with high-quality, short video clips. The proliferation of AI-generated election disinformation is also a concern, with the technology becoming easier to use and more realistic, raising stakes for digital authenticity. Lastly, robotics may evolve towards more versatile, general-purpose models capable of performing multiple tasks, inspired by advancements in generative AI. This ongoing series aims to highlight both the potential and challenges of emerging technologies as they reshape various industries.

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(image generated by DALL-E on ChatGPT-4)

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