Another Crazy Day in AI 89/110

Another Crazy Day in AI: Smart rules for smarter tech

Oct 9, 2024
4 min read

Hello, AI Enthusiasts.

It’s Wednesday night—the perfect moment to pause and reflect on how your week has been so far. Are you feeling the midweek momentum?

Tonight, we’re sharing a significant white paper from the World Economic Forum and Accenture that addresses the crucial challenge of governing generative AI in a rapidly changing technological landscape.

We also have insights from an OpenAI Zoom event discussing how AI can transform finance teams, featuring real-world examples and live product demos. Plus, Greg Isenberg shares his thoughts on the evolving nature of job roles, where traditional positions are blending, and employees are embracing cross-functional tasks.

Ready for some insightful reading? 💡

Here's another crazy day in AI:

A paper on resilient governance in the age of AI
AI solutions for scaling finance operations
Job titles are having an identity crisis
Some AI tools to try out

TODAY'S FEATURED ITEM: A 360° View on Governing Generative AI

Source: World Economic Forum, in collaboration with Accenture "Governance in the Age of Generative AI: A 360° Approach for Resilient Policy and Regulation"

How do we keep AI development both fast and safe?

The World Economic Forum, in partnership with Accenture, has released a white paper titled Governance in the Age of Generative AI: A 360° Approach for Resilient Policy and Regulation. It explores how governments and institutions can build a strong, adaptable governance framework in the face of rapidly advancing AI technologies. The paper stresses the importance of proactive and inclusive strategies, bringing together industry, civil society, academia, and policymakers to manage the challenges and opportunities of generative AI.

The report takes a broad, 360-degree look at the governance of AI, addressing both current regulatory gaps and the need for future-ready policies. It encourages a holistic approach, where governance evolves alongside the technology itself, rather than reacting to it after the fact.

Main Points Covered:

Governments should address regulatory gaps and prepare for future risks in generative AI.
A multi-stakeholder approach is essential for resilient governance, involving industry, academia, and civil society.
Governments need forward-looking strategies to adapt to AI advancements and emerging risks.

A 360º approach for resilient policy and regulation | Source: World Economic Forum Governance in the Age of Generative AI

Key Strategies for AI Governance:

Leverage the past: Assess existing regulations to address gaps and allocate clear responsibilities for AI governance.
Act in the present: Foster collaboration across sectors, encouraging knowledge-sharing and responsible AI practices.
Plan for the future: Develop national strategies that include foresight mechanisms, agile regulations, and international cooperation to manage the future impacts of AI.

When we strip away the technical jargon, this paper addresses a fundamental challenge: how do we prepare for something that's constantly changing? Rather than attempting to predict every possible outcome, the proposed framework emphasizes building adaptable systems that can evolve alongside the technology. This means creating guidelines that are both robust enough to provide meaningful oversight and flexible enough to remain relevant as AI capabilities expand.

What stands out is the emphasis on diverse perspectives. The paper recognizes that effective governance requires input from technologists, ethicists, policymakers, and the public. While the road ahead isn't entirely clear, having a thoughtful, adaptable approach gives us a better chance of steering AI development in a direction that benefits everyone.

Read and download the full paper here.

OTHER INTERESTING AI HIGHLIGHTS:

Job titles are having an identity crisis

/Greg Isenberg (@gregisenberg) on X

Greg Isenberg explores the evolving nature of job roles, where traditional positions are blending, and employees are taking on cross-functional tasks. Marketers are coding, developers are writing viral content, and engineers are becoming product managers. In this fast-paced shift, the most valuable professionals in 2025 will be those who can wear multiple hats, adapting and innovating while others remain stuck in conventional roles.

Read it on X here.

AI Solutions for Scaling Finance Operations

/OpenAI

OpenAI hosted a Zoom event "Put AI to Work for Finance Teams: Automate and Scale Financial Operations" discussing how AI can transform finance teams, with real-world examples and live product demos. OpenAI’s Controller, Sowmya Ranganathan, highlighted how ChatGPT Enterprise is reducing manual work, streamlining data analysis, and automating critical processes. The event covered best practices for AI adoption in finance and offered insights into security measures to ensure financial data safety, aiming to encourage broader adoption among finance teams.

Put AI to Work Automate and Scale Financial Operations

Watch it here.

SOME AI TOOLS TO TRY OUT:

CodePen - Social platform for front-end developers to build, share, and deploy projects.
Cove - AI platform that delivers shared answers directly to workspaces, avoiding cluttered chat threads.
Upscale.Pro - AI-powered image upscaling, boosting resolution by 600% to fix blurry or pixelated photos.

That’s a wrap on today’s Almost Daily craziness.

Catch us almost every day—almost! 😉

EXCITING NEWS:

The Another Crazy Day in AI newsletter is now on LinkedIn!!!

Leveraging AI for Enhanced Content: As part of our commitment to exploring new technologies, we used AI to help curate and refine our newsletters. This enriches our content and keeps us at the forefront of digital innovation, ensuring you stay informed with the latest trends and developments.

Another Crazy Day in AI: Machine learning wins Nobel Prize

Oct 8, 2024
4 min read

Hello, AI Enthusiasts.

As Tuesday night settles in after a busy workday, we have some intriguing news for you.

Two visionary figures, whose groundbreaking research and innovative ideas helped lay the very groundwork for today's AI revolution, have been awarded the prestigious 2024 Nobel Prize in Physics!

We’ll also look at the latest updates from Meta AI, and check out Adobe's new web app designed to protect artist rights.

Thank you for tuning in tonight, and let’s get started! 🌙

Here's another crazy day in AI:

Machine learning innovators win Nobel Prize
Explore the latest updates from Meta AI
Adobe's new web app for artist rights
Some AI tools to try out

TODAY'S FEATURED ITEM: The Minds Behind AI: A Nobel Prize and a Caution

Image Credit: Illustrations by Niklas Elmehed, and Wowza (edited with Canva)

What happens when the pioneers of artificial intelligence are recognized with one of the highest honors in science?

Sometimes, the most impactful discoveries take decades to be fully recognized. In a significant milestone for science and technology, two pioneering scientists have just been awarded the 2024 Nobel Prize in Physics for their groundbreaking work in machine learning.

John Hopfield and Geoffrey Hinton, often referred to as the "Godfather of AI," received this prestigious recognition for their foundational discoveries in machine learning dating back to the 1980s. Their discoveries laid the groundwork for many of the AI technologies we now rely on. While the award celebrates their groundbreaking contributions, Hinton has also raised some serious concerns about AI’s future, expressing caution about how intelligent these systems are becoming. As reported by CNN, this recognition comes at a time when their work is more relevant than ever.

Food for Thought:

The journey from theoretical physics to practical AI took over four decades
The prize includes a substantial cash award of 11 million Swedish kronor ($1 million)
Their discoveries allow computers to learn from examples, similar to how human brains work
These technologies now help in various fields, from medical diagnosis to space exploration
Neural networks have evolved from simple systems to complex tools with trillion-plus parameters
Despite his contributions, Hinton left Google to speak openly about potential risks, bringing a balanced perspective to his own work

This Nobel Prize recognition tells us something important about innovation and responsibility. It reminds us that transformative technologies often start with simple questions - in this case, how to make machines learn like brains do. What began as theoretical physics has become tools we use every day, helping doctors make diagnoses and scientists process vast amounts of data.

But there's more to this story than just scientific achievement. Hinton's recent decision to step back from his role at Google and speak about potential risks adds a crucial perspective. It shows that even pioneers can have complex relationships with their creations, and that scientific leadership requires honesty about both opportunities and risks.

As we think about what this means for the future, it's worth remembering that the best innovations often come from understanding nature - in this case, the human brain. The Nobel committee's decision also highlights the importance of foundational research that might not show immediate practical applications.

Whether you view AI with excitement or apprehension, one thing is certain: the work of Hopfield and Hinton has opened doors that we are still just beginning to explore. Their balanced approach—embracing innovation while maintaining a thoughtful eye on its impacts—sets an important example for how we might continue to develop powerful technologies with care and foresight.

Read the full article here.

OTHER INTERESTING AI HIGHLIGHTS:

Explore the Latest Updates from Meta AI

/Alamin (@iam_chonchol) on X

Meta AI is now accessible across all popular platforms, including WhatsApp, Instagram, Messenger, and Facebook, featuring ten exciting capabilities. Users can create stunning posts on Instagram, unleash their creativity with prompts like "Imagine me," and enhance images with advanced editing tools. The rollout includes new functionalities in 22 countries, making Meta AI a global tool for productivity and creativity.

Read more here.

Adobe's New Web App for Artist Rights

/Rhiannon Williams on MIT Technology Review

Adobe is introducing a web app designed to help artists protect their work from being used without consent in generative AI training. The Adobe Content Authenticity tool allows creators to watermark their art and include content credentials, which act like digital signatures. This initiative aims to empower artists while addressing concerns about copyright infringement and the ethical use of their work in AI models.

Read more here.

SOME AI TOOLS TO TRY OUT:

Blinkshot - Create images in real-time as you type prompts, powered by Flux on Together AI.
Agree.com - Securely send and sign agreements using AI-driven workflows and integrated payments.
InspireAI - Transform your knowledge into engaging, trend-focused content with an AI ghostwriter.

That’s a wrap on today’s Almost Daily craziness.

Catch us almost every day—almost! 😉

EXCITING NEWS:

The Another Crazy Day in AI newsletter is now on LinkedIn!!!

Another Crazy Day in AI: Smarter teaching and learning

Oct 7, 2024
4 min read

Hello, AI Enthusiasts.

Good evening and welcome to the start of another week!

It’s the perfect time to explore how traditional learning platforms are evolving. Tonight, we’re highlighting Moodle’s latest updates and their innovative adaptations in an AI-driven world.

Additionally, discover how Cleveland Clinic is leveraging AI to improve patient care and operations. And don’t miss the findings from a recent survey shedding light on U.S. residents' views on AI tools and their implications for the labor market.

Here’s to a week full of innovation! 🚀

Here's another crazy day in AI:

Moodle LMS 4.5: AI educational tool that adapts to your needs
Cleveland Clinic innovates healthcare with data and AI
Public views on generative AI and economic inequality
Some AI tools to try out

TODAY'S FEATURED ITEM: Unlock the future of learning with Moodle LMS 4.5

Image Credit: Wowza (created with Ideogram)

Image Source: Moodle

What if you could design your courses with AI tools tailored to your needs?

If you've been in education long enough, you've probably used or at least heard of Moodle.

Moodle, the popular open-source learning management system, has released version 4.5, introducing over 250 new features and improvements. This latest update, detailed by Sonya Trivedi on the Moodle blog, focuses on transforming learning experiences through intelligent automation, enhanced organization, and improved learning tools.

Here’s a look at some of the key improvements in Moodle LMS 4.5:

AI on your terms: A flexible AI subsystem that supports multiple providers like OpenAI, Azure, and others, offering control over how AI is used.
Easier content creation: AI-generated text and images make building course materials faster, with added transparency to maintain clarity and accessibility.
Better course organization: Subsections group content more effectively, improving navigation and course flow for students.
Improved feedback loops: Enhancements to assignment handling allow for smoother resubmissions and continuous feedback, benefiting both students and educators.
Streamlined badges: A simplified process for managing and sharing badges, making student achievements easier to track.
Enhanced multimedia tools: Integrated video and audio options, plus a new screen recording feature for more dynamic lessons.
Boosted student engagement: Upgraded notification systems help students stay on track with deadlines and tasks, reducing the need for manual reminders.

Manage student submissions effortlessly with the new sticky footer, which provides quick access to bulk actions in Moodle LMS. Image source: Moodle

Moodle LMS 4.5 emphasizes choice and flexibility, especially when it comes to integrating AI into learning environments. With its human-centered approach, the new AI subsystem lets you decide how to adopt AI at your own pace, aligning it with your institution’s goals without compromising on security or learner privacy. By supporting various AI providers and offering the option to add more in the future, Moodle ensures that you won’t be tied to one solution, giving you the freedom to scale your use of AI as needed.

At its core, this update is about making teaching and learning more efficient and engaging, while keeping things organized and accessible for all users. The thoughtful improvements to the assignment system, course organization, and multimedia tools make it easier for educators to manage their workload while creating a richer, more supportive learning environment for students.

Educational technology is more than just features and updates—it's about creating tools that support meaningful learning experiences. As we continue to see developments in this space, the key will be finding the right balance between technological innovation and pedagogical effectiveness. Whether these latest changes contribute meaningfully to that goal is something educators will discover as they put them into practice.

Read the full article here.

OTHER INTERESTING AI HIGHLIGHTS:

Cleveland Clinic Innovates Healthcare with Data and AI

/Randy Bean on Forbes

Cleveland Clinic is leveraging AI to enhance patient care and streamline operations, under the leadership of Dr. Rohit Chandra, its Chief Digital Officer. The organization is integrating AI into its culture through education and innovation, with initiatives like the annual Analytics and AI Summit. Key advancements include using AI to guide complex brain surgeries by accurately identifying seizure sources, improving operational efficiency with a Virtual Command Center, and accelerating drug discovery through AI algorithms. Cleveland Clinic's focus on ethical AI use, safety, and collaboration with external partners positions it at the forefront of healthcare innovation. Their commitment to continuous learning and adaptation aims to improve patient outcomes and enhance operational excellence.

Read more here.

Public Views on Generative AI and Economic Inequality

/Natalia Emanuel and Emma Harrington on Liberty Street Economics

As generative AI tools like ChatGPT gain popularity, concerns about their impact on the labor market and income inequality are increasing. In a recent survey, U.S. residents expressed varied expectations regarding how these tools might displace jobs and affect economic disparity. The findings indicate that while some view AI as a potential threat to employment, others see it as a means to enhance productivity and create new opportunities. Understanding these perspectives is crucial for policymakers as they consider regulations and initiatives to address the potential inequalities arising from AI advancements. The study underscores the need for ongoing dialogue about the societal implications of integrating AI into various sectors.

Read more here.

SOME AI TOOLS TO TRY OUT:

Podial - Turn your documents into podcasts (like NotebookLM) but lets you choose the voices.
Murror - An AI companion offering curated insights for personal growth and development.
Selfletter - Breaks goals into daily tasks, builds a custom calendar, and sends motivational reminders.

That’s a wrap on today’s Almost Daily craziness.

Catch us almost every day—almost! 😉

EXCITING NEWS:

The Another Crazy Day in AI newsletter is now on LinkedIn!!!