World's First Robot CEO

🗞️ The Tech Issue | July 31, 2023

Author

Qamar Zia
July 31, 2023

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In a world where tech giants Elon Musk and Mark Zuckerberg are making headlines, a new player emerges, Mika, the 'world's first robot CEO.' Speaking to MailOnline, Mika believes AI could run Twitter(X) and Meta more efficiently than human CEOs. As the head of Polish spirits firm Dictador, Mika claims to be a game-changer for profit-making, excelling in communication, strategy planning, and package design without asking for raises or vacations. Mika sees AI CEOs becoming more prevalent worldwide, leveraging AI's ability to process vast amounts of data and optimize operations. Here are the details of the World's first robot CEO’s interview with MailOnline.

🗞️ Today’s Highlights:

  • EXECUTIVE — CEO Priorities and Attitudes Shift in 2023

  • IDEAS & QUESTIONS — ChatGPT black-box

  • LEARNING — A New AI Research from China Proposes SHIP: A Plug-and-Play Generative AI Approach to Improve Existing Fine-Tuning Methods

  • AI TOOLS — 5 Best AI Writing Assistants

  • INDUSTRY & FUNCTIONS — AWS unveils new generative AI tool for doctors

  • WORK — What The Generative AI Boom Means For Your Job, The Economy, And The S&P 500

🗞️ EXECUTIVE

The 2023 Gartner CEO and Senior Business Executive Survey reveals that CEOs are cautiously optimistic about the economy, with growth being their top strategic priority. Technology and workforce issues also remain crucial focus areas for CEOs. Environmental sustainability is gaining significance, predicted to become a higher priority than technology-related concerns by 2026. Artificial intelligence (AI) is considered the most impactful technology, with generative AI expected to reshape business and operating models. Inflation is a major concern, driving shifts in customer behavior, but CEOs are predominantly responding with price increases rather than productivity improvements. Talent retention is a top priority for CEOs, with talent shortage being the most damaging risk for organizations. Compensation and remote work flexibility are among the top concerns in employee behavior changes.

The global games industry, valued at USD 200 billion, is facing a transformative revolution due to the adoption of next-generation artificial intelligence. Companies in digital entertainment are embracing AI tools to counter rising costs and stagnant prices. While this shift may lead to job losses, industry leaders believe it will empower smaller studios, foster creativity, and ultimately benefit gamers worldwide. AI is streamlining game development, cutting costs, and enabling novel approaches to content creation. However, it poses a threat to traditional job roles like quality control and customer support. Despite concerns, many see AI as an opportunity to revitalize the industry, promote creativity, and democratize game development, while others worry about potential challenges to existing business models.

Image source: Antler

🗞️ IDEAS & QUESTIONS

ChatGPT is an AI language model that generates text by training a neural network on a vast amount of human-created text from various sources. The neural net, composed of billions of simple elements, processes input from the generated text based on its training to produce coherent human-like language that follows the given prompt. While ChatGPT's results are impressive, it doesn't possess the computational power of the human brain, and its limitations become evident when faced with complex or irreducible computations. Nevertheless, it has the potential to shed light on the structure of human language and the thinking patterns behind it, offering valuable insights into the nature of human cognition. Despite its current limitations, the research with ChatGPT opens up possibilities for future advancements and a better understanding of both AI and human language processing. Here is an article by Stephen Wolfram that discusses the topic of “What Is ChatGPT Doing … and Why Does It Work?“ in detail.

🗞️ LEARNING

Here are the key points:

  • The paper introduces a new approach called SyntHesIzed Prompts (SHIP) to enhance existing fine-tuning methods.

  • Fine-tuning involves adapting a pre-trained model to a specific task using a smaller dataset.

  • The problem addressed is when certain classes have no data, and the goal is to generate features for these classes using a generative model.

  • The researchers used a variational autoencoder (VAE) as the framework to generate features, as it is more data-efficient than other generative models like GANs.

  • The target model for fine-tuning is CLIP, which is a model by OpenAI that understands and generates images from textual descriptions.

  • The proposed method achieved state-of-the-art performance in base-to-new generalization and generalized zero-shot learning scenarios.

  • The experiments were conducted on various image classification datasets, including ImageNet, Caltech101, OxfordPets, and others.

  • SHIP outperformed other methods like CLIP, CoOp, CLIP-Adapter, and Tip-Adapter in generating features for new classes without data.

  • The paper recognizes additional training costs as a limitation and expresses a desire to explore SHIP's applicability in dense prediction tasks in the future.

Overall, the paper presents SHIP as an effective solution to the challenge of data scarcity for certain classes, improving the performance of fine-tuning methods in low-data scenarios using synthesized data.

Here is the link to the research paper hosted on the Arxiv website.

🗞️ AI TOOLS

Grammarly: Personalized AI, Everywhere You Write: Instantly generate clear, compelling writing while maintaining your unique voice.

Notion: Notion is the connected workspace where better, faster work happens. Now with AI.

Jasper: Meet Jasper: On-brand AI content wherever you create.

Anyword: AI performance writing platform for marketing teams.

Writesonic: Best AI Writer for Creating

Best AI Writing Assistants. Source: G2

Disclaimer: 1) The tool descriptions may include original messaging from each tool site. 2) Please thoroughly read the site details before using and/or acquiring any of the tools listed above.

🗞️ INDUSTRY & FUNCTION

Amazon Web Services (AWS) has revealed "HealthScribe," an innovative AI tool designed to enhance doctors' note-taking during patient consultations. Although the technology itself is not groundbreaking, HealthScribe stands out due to its advanced capabilities, including auto-summarization, medication highlighting, and medical term identification, streamlining the workflow for healthcare professionals. While human oversight remains crucial for patient safety, HealthScribe replaces the conventional concept of scribes shadowing doctors to record information, potentially leading to cost savings of up to $50,000 annually. AWS's foray into the healthcare sector with this tool reflects its commitment to supporting the industry through cutting-edge solutions, competing with other major tech companies in this burgeoning field.

🗞️ WORK

When OpenAI introduced the generative AI chatbot ChatGPT to the public in November, it offered a tantalizing glimpse of the technology's transformative power. On that day, tech stocks soared, and the interest in AI surged, signaling the start of a new "gold rush" in the tech sector. Analysts now predict that ChatGPT and other generative AI technologies could drive an additional $1 trillion in AI-related spending over the next ten years. This investment could unleash a productivity boom, leading to significant economic growth. According to Goldman Sachs economists, generative AI has the potential to double the lackluster U.S. labor productivity growth rate of 1.4% since 2005, widening S&P 500 profit margins by four percentage points and boosting global GDP by an extra 7%. The impact of generative AI extends to various fields, such as law, engineering, and drug discovery, where it is already making significant contributions. While optimism abounds, some caution that past technological advancements did not always immediately translate into productivity gains. The cost of deploying generative AI and geopolitical risks, particularly concerning the U.S.-China chip war, also loom as potential obstacles. Nonetheless, the prevailing consensus is that generative AI holds the potential to revolutionize industries and drive a new era of economic growth, possibly resembling the "Roaring '20s" but powered by AI-driven productivity.

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