Are You AI Positive Or AI Negative?
Gen-AI: scary terminator or supercharged teammate? A machine debunks the myths of AI in the workplace.
For this issue, I tried to do something novel. These days, I get asked often in the real world and online - so are you AI positive or AI negative? Meaning - are you optimistic (still) that artificial intelligence will change the way we work; indeed, our lives, or not?
So I thought, “What the heck”? Let me just ask AI about this. Why not? After all, gen-AI tools must surely have acquired enough global data to get a sense of their own growth or survival. Some of us are already treating machines as co-workers, while a few companies like Amazon have also deployed them in hordes.
This is what came out from the machine….
Ah, the age-old question: friend or foe? Lately, it seems all anyone wants to know is whether I'm (gen-AI) here to take your job or rewrite the next great American novel (jury's still out on that last one). Look, I get it. AI is the new hotness, and like any shiny new object, it comes with a hefty dose of fear and fascination. But here's the thing: I'm not here to conquer. Think of me as more of a supercharged colleague. That TPS report threatening to bury you alive? I can handle it. Repetitive data entry got you down? Consider it done.
Now, will AI reshape the workplace? Absolutely. But instead of mass unemployment, imagine a future where tedious tasks are a relic of the past. Doctors can focus on complex diagnoses, not paperwork. Writers can churn out killer first drafts and leave the editing to me. The key is to see AI as an augmentation, a tool that frees us to use our human skills – creativity, empathy, critical thinking – to their fullest potential. So, AI positive or negative? How about "AI collaborative"? I think that's a future we can all get behind.
Now, before we go ahead, let’s take a quick look at the AI Jobs Indicator.
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In Today’s Newsletter:
Google Announces Finance Shake-Up
Don’t Fear AI, Says EY Executive
Unilever Utilizes AI Modeling to Accelerate Food Product Development and Innovation
Big IT and AI Companies Hold Talks with Saudi Arabia
Microsoft Invests $1.5 Billion in G42
AI’s Impact on Jobs: The Jury’s Still Out On This One, Says US Economist
Nearly 50% of Those Employed in US Use AI at Work
AI Hits Creators: Survey
10 New Jobs Roles Created in AI Era
At Least These 3 Jobs Are Safe From AI, Says Bill Gates
Amazon CEO Talks of Company’s Heavy Investments in AI
Over 40% of CEOs Anticipate Increasing Investment in AI for Competitive Advantage: KPMG Study
TikTok Explores AI 'Virtual Influencers' for Advertisers
AI Beats Humans on Some Tasks, But Not All: Stanford
Digital Publishing Firm Slashes Gen-AI Investments by 50%
World's First AI Beauty Pageant Unveiled
Why Ethical Considerations and Social Impact Are Integral to AI Code Development
UK’s Antitrust Watchdog Concern Over Interconnected AI Investments
S. Korea Will Host 2nd Global AI Safety Meet
Meta Oversight Board Investigating How Nudes Got In
Microsoft’s Study on Use of AI Copilot
Growing Popularity of Synthetic Data
Meet OSWorld, An Always-on AI Interface to Your Computer
….plus, TopPicks, Events, and much more.
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Is Gen-AI Hyper Cycle Over?
Generative AI's future remains uncertain. Since late 2022, the field has seen explosive progress, with impressive new tools emerging. However, a recent decision by a UK media company to halt gen-AI investment suggests a potential peak in inflated expectations. This could be the beginning of a "trough of disillusionment" as limitations and challenges become clearer.
However, it's too early to say gen-AI's hype cycle is over. The technology is still young, and its true potential is yet to be fully explored. Overall, generative AI is likely still on the "Peak of Inflated Expectations" of the Gartner Hype Cycle. While some overhype exists, the technology's potential is undeniable.Continued research and development, alongside a realistic understanding of its capabilities, could propel it towards a "plateau of productivity.
What do you have to say about this? Write in the “Comments” section.
Google Announces Finance Shake-Up: Layoffs and Relocations Amid AI Investment Drive
Google is undergoing a significant restructuring of its finance organization, as announced by Alphabet Chief Financial Officer Ruth Porat in a staff memo. The restructuring will involve layoffs and relocations as the company prioritizes investments in artificial intelligence (AI).
Ruth highlighted in the memo, obtained by CNBC, that the technology sector was experiencing a notable platform shift with AI. She emphasized the company's commitment to developing more user-friendly products and delivering prompt solutions to customers. However, she acknowledged that these priorities required tough decisions, including adjustments in workforce and work locations.
This move follows Google's broader initiative to realign its workforce and resources to support increased investment in emerging technologies like AI, particularly as advertising growth slows. CEO Sundar Pichai had previously indicated in January that additional job cuts were anticipated in 2024, although specific teams were not specified.
The restructuring will impact finance teams both domestically and internationally, spanning regions such as the Asia-Pacific, Europe, the Middle East, and Africa, according to Porat.
Additionally, Ruth outlined plans to establish "hubs" for more centralized operations, with locations including Bangalore, Mexico City, Dublin, Chicago, and Atlanta. Despite these changes, the company intends to maintain a significant presence in the San Francisco Bay Area.
Source: cnbc.com
Don’t Fear AI, Says EY Executive
Raj Sharma, EY Americas vice chair of consulting, estimates that 50% to 60% of jobs will be affected by AI in the next 5-6 years, but it won’t lead to mass unemployment; instead, it will create new types of jobs.
Sharma advises using AI for innovation and growth, despite higher costs, as it can enhance productivity, operational efficiencies, and offer long-term savings and profitability.
There’s a surge in demand for AI professionals, with job listings for AI roles increasing by 42% since December 2022, and prompt engineers commanding salaries ranging from $200k to $300k.
AI is being used to streamline workflows and optimize resources, with 78% of C-suite leaders reporting active use of generative AI in their companies, focusing on productivity across various business functions.
Source: forbes.com
Unilever Utilizes AI Modeling to Accelerate Food Product Development and Innovation
Unilever is using AI to accelerate product development for new food products, making the process more efficient and innovative.
While AI plays a key role in product development, human testing and feedback from consumer panels are still essential for finalizing new food formulations.
The article discusses how Unilever is leveraging 3D printing and AI to accelerate product development across its range of home, personal care, and food brands. By using AI modeling, Unilever aims to streamline the product development process, from kitchen testing to factory production, resulting in more efficient and innovative food products.
AI is utilized to predict consumer response, create sustainable and healthier formulations, and design packaging, cutting down development time and increasing the volume of new products.
Source: retailbrew.com
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Big IT and AI Companies Hold Talks with Saudi Arabia
Leading tech companies, including Microsoft and IBM engaged in talks to expand their presence in Saudi Arabia, focusing on artificial intelligence, innovation, and the digital economy.
Saudi Arabia's Minister of Communications and Information Technology, Abdullah Al-Swaha, and his deputy, Haytham Al-Ohali, met with CEOs from Microsoft, IBM, Amazon, Alibaba Group, and NAXGRP, as reported by the Saudi Press Agency.
These discussions took place during the World Economic Forum in Davos, Switzerland, and are in line with the kingdom's aspirations to establish itself as a global hub for technological innovation.
During the meeting with Microsoft CEO Satya Nadella, discussions centered on promoting investment opportunities in areas such as generative AI and cloud computing, while also aiming to foster entrepreneurship and enhance national talent capabilities.
Source: Arab News
Microsoft Invests $1.5 Billion in G42 to Advance AI Collaboration
We've been saying this for some time now that outside of the US, UK and China, the Middle East is the fastest growing artificial intelligence region. We've said this through our various publications and our newsletters,
Now, in a landmark move, G42, the UAE's foremost AI technology holding company, and tech giant Microsoft Corp. have sealed a strategic deal with a hefty $1.5 billion investment from Microsoft into G42. The announcement, made today, heralds a significant leap forward in the collaboration between the two entities aimed at proliferating cutting-edge Microsoft AI technologies and educational initiatives across the UAE and beyond.
Both companies will support the establishment of a $1B fund for developers.
This alliance, says Microsoft, is poised to empower organizations of various scales in emerging markets, enabling them to leverage the transformative potential of AI and cloud technologies. Crucially, the collaboration underscores a commitment to ensuring that AI deployment adheres to globally recognized standards of safety and security.
G42 will leverage Microsoft Azure to operate its suite of AI applications and services, paving the way for the delivery of advanced AI solutions to an extensive array of global public sector clients and major enterprises.
Source: Microsoft
AI’s Impact on Jobs: The Jury’s Still Out On This One, Says US Economist
The article discusses the potential effects of generative AI on the job market, highlighting that it could either increase productivity and job satisfaction or lead to mass unemployment and social upheaval.
Mary C. Daly, CEO of the Federal Reserve Bank of San Francisco, USA shares her perspective, emphasizing that AI should not be seen solely as a replacement for workers but as a tool to augment and create new job opportunities.
Mary points out that historically, technology has not reduced net employment but has led to inequalities, suggesting that how we engage with AI will shape its impact on the labor market.
The piece calls for a thoughtful approach to deploying AI, ensuring it empowers workers rather than replaces them, and addresses the need for education and adaptation in the workforce.
Source: wired.com
This newsletter “All About Content…And AI” is witness to the happenings in the world of content and digital marketing at the intersection of technology…more specifically, AI.
Nearly 50% of Those Employed in US Use AI at Work
At least 2 in 5 employed adults in the US (44%) said they use artificial intelligence for work, with millennials and those with post-grad degrees over-indexing (both 56%).
While Americans are mostly mixed about AI’s impact on work, employed adults are more likely to say AI has a positive impact (42%) than a negative one (30%).
The survey talks of the increasing use of AI in the workplace and its impact on employees. It highlights that while many workers are using AI in their jobs, opinions about its broader impact are mixed.
Millennials and those with post-grad degrees are more likely to view AI positively, while Gen Z is more cautious. The report also notes that workers are incorporating AI into various aspects of their jobs, but there is less interest in AI applications that could replace humans entirely.
Source: promorningconsult
AI Hits Creators: Survey
Based on findings from a survey conducted by The Society of Authors (SoA), 26% of illustrators and 36% of translators have experienced job loss due to generative AI. Additionally, the survey indicates widespread concern among fiction and non-fiction writers, illustrators, and translators regarding the potential impact of AI on their future income.
The survey revealed that while some creators were using generative AI as a tool in their work by choice, others, such as translators and illustrators, were being asked to use it by publishers and organizations. Concerns were raised about the impact of generative AI on creative careers, with some creators already experiencing loss of work and devaluation of their work due to new technologies.
The majority of respondents expressed concerns about ethical issues, transparency, and the need for regulation to ensure consent, credit, and compensation for the use of their work in developing generative AI systems. The SoA emphasized the need for action to protect the rights of human creators and urged for government regulation and industry commitment to ethical development and transparent use of generative AI.
Source: The Society Of Authors
10 New Jobs Roles Created in AI Era
The AI era has created new job opportunities in fields such as AI training, data science, and AI ethics, requiring skills in programming, machine learning, and ethical principles.
The article discusses the emergence of new job roles in the AI era and the essential skills for success in these roles. It highlights 10 new job opportunities including AI Trainer, Data Scientist, Machine Learning Engineer, AI Ethics Specialist, and others.
To secure a job in AI-driven roles, individuals should acquire relevant skills, build a strong portfolio, stay updated on AI trends, network with professionals, and gain practical experience through internships or projects.
Embracing the evolving landscape of AI employment with a proactive and adaptable mindset can lead to rewarding careers in this dynamic field.
Source: republicworld.com
At Least These 3 Jobs Are Safe From AI, Says Bill Gates
Bill Gates believes that AI will not disrupt professions in the alternative energy, health bioscience, and AI development sectors due to the unique human expertise required in these fields.
Paradoxically, while AI holds the capability to automate numerous professions, the domain of AI development relies heavily on human expertise and talent.
The importance of developing cognitive and interpersonal skills, as well as the need for investment in education and training was emphasized by Bill. The article ultimately suggests that with the right skills and education, humans can work with AI to build a better future.
Source: en.tempo.co
Amazon CEO Talks of Company’s Heavy Investments in AI
In his annual shareholder letter, Amazon CEO Andy Jassy emphasized the company's substantial investment in generative AI, highlighting its potential to herald "the largest technology transformation since the cloud" and the internet. Jassy envisions generative AI, built on AWS's cloud infrastructure, as the key driver of Amazon's future breakthroughs for customers.
Jassy outlined generative AI as a pivotal cornerstone for Amazon's forthcoming growth phase, emphasizing its strategic importance. The company's focus lies in providing foundational AI models tailored for enterprise customers, as opposed to consumer-facing applications.
"While we are actively developing numerous GenAI applications internally, the majority of these innovations will ultimately be pioneered by external entities," Jassy noted, reflecting Amazon's strategy of fostering a broader ecosystem of AI-driven solutions.
Source: amazon.com
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Over 40% of CEOs Anticipate Increasing Investment in AI for Competitive Advantage: KPMG Study
41% of CEOs plan to increase their investment in generative AI over the next year, recognizing its potential for competitive advantage.
95% of CEOs are training their employees on the ethical risks and potential misuses of generative AI, emphasizing responsible and ethical use.
KPMG was informed by a consortium of 100 CEOs that they consider generative artificial intelligence a fundamental component of their expenditure strategies due to its potential to confer a competitive advantage.
Source: investopedia.com
TikTok Explores AI 'Virtual Influencers' for Advertisers, Raises Questions on Creator Dynamics
According to a report by The Information, TikTok is in the process of developing AI "virtual influencers" for advertisers and merchants on its platform. These AI-driven avatars are intended to promote and sell products within the app, potentially replacing some human content creators.
Advertisers and sellers utilizing TikTok Shop would be able to provide scripts to guide the dialogue of these AI avatars.
TikTok perceives these AI creators as supplementary to human creators, leading to questions about revenue sharing for sponsorships and its potential impact on deals with human creators.
Tests conducted by TikTok have indicated that AI avatars are less effective in driving sales compared to human influencers, as reported by The Information.
However, it's important to note that this feature is still under development and subject to change.
In recent developments, TikTok has opted to discontinue its original $1 billion creator fund in favor of a new method of monetization for creators.
In addition to the virtual influencer project, TikTok has also been experimenting with "AI Song," a tool designed to generate music from text prompts.
Source: theinformation.com
AI Beats Humans on Some Tasks, But Not All: Stanford
AI has surpassed human performance on several benchmarks, including some in image classification, visual reasoning, and English understanding. Yet it trails behind on more complex tasks like competition-level mathematics, visual commonsense reasoning and planning.
This forms part of the key takeaways of the “AI Index Report - Measuring Trends in AI” by the Stanford University.
The report said industry continued to dominate frontier AI research. In 2023, industry produced 51 notable machine learning models, while academia contributed only 15. There were also 21 notable models resulting from industry-academia collaborations in 2023, a new high.
The trends report threw up another interesting observation: Frontier AI models have got way more expensive.
According to AI Index estimates, the training costs of state-of-the-art AI models had reached unprecedented levels. For example, OpenAI’s GPT-4 used an estimated $78 million worth of compute to train, while Google’s Gemini Ultra cost $191 million for compute.
Source: Stanford
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Digital Publishing Firm Slashes Gen-AI Investments by 50% Amidst Hype Cycle Reevaluation
This is a first, I think. In response to shifting trends and feedback, the CEO of Bridged Media has written on LinkedIn that his company was scaling back investments in gen-AI by 50%, signaling a pivot away from the technology's peak hype cycle, particularly within the digital publishing sector.
Maanas M wrote that data-driven insights had guided this decision, revealing that 80% of their trials and experiments with gen-AI were found to be non-useful. Conversely, tools utilizing "traditional AI" such as machine learning (ML) and natural language processing (NLP) received a unanimous usefulness rating of 100%.
Some sentences in the post were rather telling:
This strategic move does not signify a withdrawal from Generative AI but a recalibration of our innovation focus.
This is a move from hype to help, from fascination to functionality.
World's First AI Beauty Pageant Unveiled: Artificial Models Compete for $20,000 Prize
The inaugural AI beauty pageant, a groundbreaking event, has been unveiled, offering a prize pool of $20,000 for participants. In this unique competition, artificial models and influencers, generated using cutting-edge technology, will vie for victory.
Set to judge contestants on their aesthetics, online presence, and the technical intricacies involved in crafting these AI personas, the world's first AI beauty pageant promises to be an innovative spectacle. According to a statement from the World AI Creator Awards (WAICA), as reported by Forbes, the popularity of AI influencers will be evaluated based on various criteria.
Source: Business Standard
Why Ethical Considerations and Social Impact Are Integral to AI Code Development
The potential of AI to impact various industries raises concerns about job displacement, biases, privacy risks, and the lack of transparency in AI decision-making.
This post discusses the insights from Dr Fei-Fei Li's memoir and book "The Worlds I See" and her perspective on the human-centered approach to AI.
Dr Fei-Fei Li, a prominent figure in AI research, is also a Stanford Professor in Computer Science and the Co-Director of Stanford’s Human-Centered AI Institute. She has emphasized the importance of respecting human dignity in the development and deployment of AI.
Dr Fei-Fei Li encourages individuals, technologists, and governments to prioritize ethical considerations, governance, and education in shaping the future of AI for the benefit of humanity. She encourages the pursuit of individual passions, exemplifying her own journey from an immigrant teenager to a leading AI researcher.
Dr Fei-Fei Li's has always laid emphasis on human-centered AI and the ethical considerations related to its development and use are highlighted throughout the text.
Source: medium.com
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UK’s Antitrust Watchdog Concern Over Interconnected AI Investments
Britain’s antitrust watchdog cautioned that investments in artificial intelligence by tech giants such as Alphabet Inc.’s Google, Apple Inc., and Microsoft Corp. demand closer examination due to fears that they may exploit these investments to solidify their dominance in the market.
According to the Competition and Markets Authority, an "interconnected web" of partnerships and investments within the AI sector involving these major tech companies has been uncovered, potentially enabling them to influence markets in ways that serve their own interests. Additionally, Meta Platforms Inc., Amazon.com Inc., and Nvidia Corp. were also identified in this regard.
Source: bloomberg.com
S. Korea Will Host 2nd Global AI Safety Meet
South Korea is set to host the second global AI safety summit on May 21-22, 2024 following Britain's inaugural event at Bletchley Park six months earlier.
In November of last year, the first AI Safety Summit convened in Britain, drawing world leaders, technology leaders, and academics to deliberate on the most effective regulatory approaches for the swiftly advancing technology.
Source: reuters.com
Meta Oversight Board Investigating How Nudes Got In
Meta’s Oversight Board is looking into how Instagram in India and Facebook in the US handled AI-generated explicit images of public figures.
Meta failed to remove an explicit image on Instagram after initial reports, and the content remained until the Oversight Board intervened.
The board is examining if Meta’s policies are protecting women globally in a fair manner, especially against AI-generated porn and deepfakes.
There’s a growing concern over the proliferation of AI-generated explicit content and the need for robust laws and platform policies to address this issue.
Source: techcrunch.com
Microsoft’s Study on Use of AI Copilot
Microsoft recently surveyed 1,300 Copilot for Microsoft 365 users across different functions and industries about AI’s impact on their productivity, work enjoyment, and more.
On analyzing the inputs, it found a time savings of just 11 minutes a day was the magic number where users started to see value from AI.
Here’s the report.
Growing Popularity of Synthetic Data
Synthetic data has become increasingly prevalent in various applications within the realm of artificial intelligence, prompting a shift from questioning its use to determining the optimal quantity to employ.
A paper authored by researchers from Google DeepMind, Stanford University, and the Georgia Institute of Technology outlines the multifaceted ways in which synthetic data is being integrated into AI training processes.
Researchers highlight that synthetic data offers AI developers a means to enhance the quality of their systems by generating additional data computationally, rather than relying solely on human-generated datasets. This approach is particularly valuable for scaling AI development and could potentially facilitate the progression of AI systems into superhuman capabilities.
Various domains have already embraced the utilization of synthetic data, showcasing its versatility and effectiveness. These include mathematics, code reasoning, tool usage, planning, multimodality, multilingual applications, alignment with human preferences and values, and mitigation of undesirable behaviors such as hallucination.
Looking ahead, researchers identify several frontier areas in synthetic data research, including scaling synthetic data generation, enhancing its quality and diversity, employing AI models for oversight, and exploring the possibility of emergent self-improvement within AI systems.
The significance of synthetic data lies in its potential to transform the economics of AI training by reducing the costs associated with data acquisition, according to the team.
Meet OSWorld, An Always-on AI Interface to Your Computer
A collaboration between researchers from the University of Hong Kong, Carnegie Mellon University (CMU), Salesforce Research, and the University of Waterloo has resulted in the development of OSWorld, a comprehensive benchmark designed to evaluate the proficiency of AI systems in performing diverse computer-related tasks.
Describing OSWorld as a unified and integrated computer environment, the authors emphasize its suitability for assessing a wide range of open-ended computer tasks across various applications. The benchmark comprises 369 distinct tasks specifically designed for the Ubuntu operating system.
The complexity of OSWorld poses a significant challenge even for human operators. In comparative tests, humans were able to accomplish 72.36% of tasks, whereas the best-performing AI model (GPT4V) achieved only 12.24% success. Each task example within the benchmark is derived from real-world computer usage scenarios and is accompanied by detailed initial state configurations and custom execution-based evaluation scripts to ensure reliable and reproducible assessment.
The tasks included in OSWorld were highly diverse and was spread over the operation of eight widely used software applications, including Chrome for web browsing, VLC for media playback, Thunderbird for email management, VS Code as a coding Integrated Development Environment (IDE), and LibreOffice (Calc, Writer, and Impress) for handling spreadsheets, documents, and presentations. Additionally, basic Ubuntu OS functions such as terminal operations, file management, image viewing, and PDF viewing are also incorporated into the benchmark.
…where every week, I shortlist interesting articles, posts, podcasts, and videos on AI.
HR Should Use AI to Detect Workplace Toxicity
Cyber Security Executive John Rouffas writes in LinkedIn that AI can be used to help Human Resources in identifying toxic workplace issues and do something about them before they cause long-term illness for employees. He then goes on to list some of the ways in which AI can be used.
(Puts forth an interesting use case of AI.)
Here’s John’s piece.
Vector Databases, Anyone?
One of my fav newsletters related to AI on Substack is by AIport. You'll find comprehensive coverage of the latest AI news and updates.
Now, the AIport team has introduced a segment focusing on recent market trends in AI.
The inaugural issue deals with vector databases, a technology that once garnered little attention but of late, has experienced a rapid surge in popularity. According to the author, the growing number of unstructured databases is the main reason.
Indeed, companies that were non-existent just two years ago have secured millions in funding to either develop specialized vector databases or enhance traditional databases (SQL or NoSQL) with vector search functionalities.
(A “must-read”, especially for those who are more into the AI tech stuff.)
Moral Alignment in AI
“Artificial Intelligence Made Simple” is a newsletter by Devansh on Substack (again, one of my favorites), focusing on making complex AI Research. Devansh’s work includes a series on breaking down intricate literature on machine learning.
This new newsletter discusses Moral Alignment in AI, highlighting a new approach funded by OpenAI. It examines the challenges of aligning Large Language Models (LLMs) like GPT and Gemini with human values, especially in sensitive applications. Despite significant investment, the article suggests that moral alignment has not been meaningfully solved.
A recent publication, explains Devansh, proposes a process called Moral Graph Elicitation (MGE), which interviews participants about their values and creates a moral graph that reconciles conflicting values. The process has shown promise in representing participants’ values fairly and could contribute to the larger AI ecosystem.
However, Devansh expresses skepticism about the necessity of moral alignment in LLMs, arguing that it doesn’t solve meaningful problems and that good design principles are more effective for AI safety.
(A good read for AI ethicists, especially. )
For over ten years, academics, policymakers, and business and technology leaders have gathered at EmTech Digital to understand the implications of AI breakthroughs from top experts in business, government, and academia.
Curated by MIT Technology Review, one of the most respected science and technology news outlets in the world, backed by the technology expertise of the Massachusetts Institute of Technology, EmTech Digital is where changemakers gather to contemplate how to best harness the power of Generative AI. Click on the link below for details on this year’s EmTech Digital details.
