Embracing the reality of "Jagged AI"
Embracing the reality of "Jagged AI" | Your weekly publication by Yael Rozencwajg, September 2024

Embracing the reality of "Jagged AI"

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Hello, Legends,

Thank you for reading and sharing the weekly digest of Wild Intelligence .

This week, I want to share a thought-provoking perspective that challenges our expectations of artificial intelligence.

Just as individuals possess varying strengths and weaknesses, AI systems will inevitably excel in certain areas while falling short in others.

This inherent unevenness stems from the nature of AI training data, which is inherently skewed and reflects the biases and limitations of the real world.

Expecting "AI" to be a monolithic entity with universal competence is unrealistic.

Instead, we must embrace the reality of "Jagged AI" and its implications for strategic decision-making. This means:

  • Identifying and leveraging specific strengths: Focus on AI capabilities that align with your organization's strategic goals and address specific pain points.
  • Acknowledging and mitigating limitations: Be aware of potential biases and areas where AI may fall short, and implement strategies to address these limitations.
  • Adapting to a dynamic landscape: The AI landscape is constantly evolving. Remain agile and adaptable as new opportunities and challenges emerge.
  • Fostering Human-AI collaboration: Recognize the complementary strengths of humans and AI and create environments that encourage collaboration and knowledge sharing.

By understanding and embracing the "Jagged AI" paradigm, decision-makers can harness AI's transformative power while navigating its inherent complexities.

[Continue reading on Wild Intelligence]


The essence of this weekly publication is inherently embedded in this mindset: to bridge the gap between traditional mechanisms and increasingly sophisticated actions.

Each post is specially conceived to help business leaders frame the context of Decision Intelligence?in the AI era. As I deepen my work, I bring new things I am excited to share.

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Fast access to our weekly posts (tap the links for fast access):


?? How can we outsmart the next AI threat frontier?


?? Enterprise AI: how to unmask the biases, your reputation and bottom line are at play


?? How to build with AI agents | Weaving morality into the code: the ethical imperative of AI development


?? Maildrop 24.09.24: LLMs weaponized for malicious purposes (slides inside)


??? What will grow faster, the supply of AI competitors or the demand for more model training?


?? Our AI safety mission | Systems from the AI dystopia series


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More from the Wild Intelligence week


??? What will grow faster, the supply of AI competitors or the demand for more model training?


Continue reading on Wild Intelligence: https://bit.ly/WI-290924.
??? What will grow faster, the supply of AI competitors or the demand for more model training?

(My insights) While the AI field is seeing a surge of new entrants, the complexity and resource requirements for developing and training large-scale AI models create a significant barrier to entry.

The computational power, data volumes, and expertise needed to compete at the highest levels favor established players and well-funded startups.

Meanwhile, the demand for model training is being fueled by several factors:

[Continue reading on Wild Intelligence]


?? Our AI safety mission | Systems from the AI dystopia series


In the labyrinth of AI development, a critical question looms: How can we achieve AI safety and capabilities that unlock the enterprise AI mission?

As AI advances, the potential benefits are immense, from streamlining operations to revolutionizing industries.

However, the risks are equally significant, ranging from privacy breaches to job displacement.

[Continue reading on Wild Intelligence]


?? Maildrop 24.09.24: LLMs weaponized for malicious purposes (slides inside)


?? Maildrop 24.09.24: LLMs weaponized for malicious purposes (slides inside) Continue reading on Wild Intelligence: https://bit.ly/WI-240924.
?? Maildrop 24.09.24: LLMs weaponized for malicious purposes

Malware, short for malicious software, is a type of software designed to cause damage or unauthorized access to a computer system. Cyber attackers commonly use malware to hijack data or disrupt functions of the infected system.

Malware includes various forms, such as viruses, worms, Trojans, ransomware, and spyware. Multiple malware detection techniques now emerge, including signature-based detection and dynamic analysis. They plays an essential role in asset protection, threat intelligence, and system integrity in the context of AI.

[Continue reading on Wild Intelligence]


?? How to build with AI agents | Weaving morality into the code: the ethical imperative of AI development


?? How to build with AI agents | Weaving morality into the code: the ethical imperative of AI development. Continue reading https://bit.ly/WI-250924.
?? How to build with AI agents | Weaving morality into the code: the ethical imperative of AI development


Can we harness their immense power while upholding the sanctity of human freedom?

In the ethereal expanse of cyberspace, where the boundaries between humanity and machine blur, AI emerges as a sentinel, a digital guardian standing watch against the lurking threats of the virtual realm.

Once perceived as a potential menace, artificial intelligence now takes on the mantle of our protector.

[Continue reading on Wild Intelligence]


?? Enterprise AI: how to unmask the biases, your reputation and bottom line are at play


?? Enterprise AI: how to unmask the biases, your reputation and bottom line are at play Continue reading on Wild Intelligence: https://bit.ly/WI-260924.
?? Enterprise AI: how to unmask the biases, your reputation and bottom line are at play


Beneath the veneer progress of AI lurks a pervasive threat: bias embedded within AI algorithms.

AI systems, trained on historical data that may reflect societal prejudices, can inadvertently perpetuate and even amplify these biases.

[Continue reading on Wild Intelligence]


?? How can we outsmart the next AI threat frontier?


How can we outsmart the next AI threat frontier? Continue reading on Wild Intelligence https://bit.ly/WI-270924.
?? How can we outsmart the next AI threat frontier?

The proliferation of AI has ushered in a new era of cyber warfare, characterized by increasingly sophisticated and evasive attacks. As AI capabilities continue to advance, we can expect to see a surge in cyberattacks that are more targeted, personalized, and difficult to detect.

[Continue reading on Wild Intelligence]


?? AI news and resources: the things to read, ideas, and everything else

  • Chip Startup Groq Backs Saudi AI Ambitions With Aramco Deal [LINK]
  • Microsoft has partnered with BlackRock for a fund to build data centers, with an initial $30bn and a path to $100bn including debt. [LINK]


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LinkedIn posts


Shared by friends, colleagues, people or companies I follow:

  • Infostealer Infections Shed Light on FBI’s Most Wanted Criminals by Hudson Rock / Alon Gal [LINK]
  • "Data indicates that young AI companies have more momentum that other highly-hyped tech start-ups from past eras, particularly in the 'software-as-a-service' category.", a post by Michael Jackson [LINK]
  • We developed AlphaChip: an AI approach for designing microchips by Google DeepMind [LINK]
  • Technology is reshaping the way we work, with Generation AI being the newest disruptive force. However, true productivity emerges when companies take a holistic approach to rethinking their operations [LINK]


Some of the things I share:

  • Harari's book is brilliant, as always. But it tells just one part of the story (our evolution as humans) [LINK]
  • What will grow faster, the supply of AI competitors or the demand for more model training? Poll [LINK]


Last week's news:

The AI arms race: who will win the generative model battle



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???For you #fyp

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Thanks for reading, and see you next week!

See you next week.?Yael .


Information

?? Wild Intelligence on LinkedIn ?is a weekly publication of insights, tools, and community to equip the next generation of enterprises with the decision intelligence needed in the age of artificial intelligence. Promote yourself to 24,000+ subscribers by sponsoring my newsletter.

Disclaimer

Wild Intelligence is circulated for informational and educational purposes only.

Wild Intelligence Research utilizes data and information from public, private and internal sources, including data from actual open data access. While we consider information from external sources reliable, we do not assume responsibility for its accuracy.

The views expressed herein are solely those of Wild Intelligence as of this report and are subject to change without notice. Wild Intelligence may have a significant financial interest in one or more of the positions, securities, or derivatives discussed. Those responsible for preparing this report receive compensation based upon various factors, including, among other things, the quality of their work and firm revenues.

#AI #cybersecurity #LinkedIn #generativeAI #genAI


Awais Rafeeq

Data Visionary & Founder @ AI Data House | Driving Business Success through Intelligent AI Applications | #LeadWithAI

1 个月

The Jagged AI idea is important to consider. we work on using AI to help decision making while being careful about its challenges and biases.? For example our recent project on healthcare claims validation using AI shows how we can improve efficiency while tackling these issues. What do you think companies should do to reduce biases in AI?

Yael Rozencwajg

Founder and CEO @ Wild Intelligence | AI safety, cybersecurity, enterprise AI mission

1 个月

Use WILDSHARE for 10% off on your first yearly subscription: https://bit.ly/WI-subs

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