⚡︎🔋 Google is expanding its AI overviews

And more: MIT Researchers Develop database with AI risks

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Supercharged With AI
August 16, 2024

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Good morning, aspiring leader of the next generation! ☀️

🚀 Have you heard the latest AI news? Ready for today's tech whiplash?

Google's sprucing up its AI overviews like it's redecorating the internet. "This link? Oh, it's vintage 2023!" 🖼️🔍

California's trying to prevent AI disasters with a new bill, but Silicon Valley's screaming like it's the AI apocalypse. Drama queens much? 🎭📜

OwlX is playing nice with Neo X. It's like a tech soap opera, but with more acronyms and less evil twins. 🦉🤝

CodeRabbit just scored $16M to judge your code. It's like having a really picky robot looking over your shoulder. No pressure! 🐰💻

Geekbench is now benchmarking AI. Finally, a way to measure whose robot overlord is the fanciest! 📊🏆

And HR's getting an AI makeover. Because nothing says "employee satisfaction" like an algorithm deciding your bonus! 💼🤖

So, what's your prediction? Will we all be working for AI bosses next month, or will they just take over our coffee machines? ☕😂

Google Expands AI Overviews, Adds New Link Displays

Google is expanding its AI Overviews in Search, providing in-depth explanations for selected queries directly in search results. Key points include:

  • Expansion: AI Overviews now available in six new countries with local language support

  • New features:

    • Enhanced link displays within AI Overview text on desktop

    • Saved AI Overviews for revisiting past queries

    • Simplified language option for AI explanations

Potential impacts on SEO:

  • Concerns about reduced referral traffic as users get more information without clicking through

  • Google reports increased traffic to a broader range of sites

  • Higher quality traffic, with users spending more time on visited sites

Google is testing new link displays to address traffic concerns, showing positive results in early testing. The company also notes that AI Overviews are driving traffic to a more diverse set of websites for complex queries.

As AI search evolves, marketers should monitor its impact on their strategies and traffic patterns. Read more

California AI bill SB 1047 aims to prevent AI disasters, but Silicon Valley warns it will cause one

The bill SB 1047 in California aims to set regulations to prevent potential disasters from AI technologies. Proposed by Senator Scott Wiener, it targets large AI models that could be used harmfully, imposing safety protocols and liabilities on developers. Controversial among Silicon Valley, it's criticized for possibly stifling innovation and burdening startups. It requires developer compliance, overseen by a new Frontier Model Division, with hefty penalties for non-compliance. The bill has undergone amendments and awaits a final Senate vote. Read more

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OwlX supporting Neo X on its AI information discovery platform

OwlX, an AI-powered information discovery platform, now supports Neo X, enhancing its blockchain analytics capabilities. The platform aggregates and analyzes data across social media and news outlets, offering users detailed insights and trends about various digital assets. OwlX aids in project discovery and due diligence, utilizing AI to organize and personalize content. Since its inclusion in a global acceleration program, OwlX has expanded its services, supporting multiple Web3 projects and growing its user base significantly. Read more

📔#1 Insights Today on AI. Click the Links to Read

CodeRabbit raises $16M to bring AI to code reviews

CodeRabbit, which recently closed a Series A funding round, aims to automate the code review process using AI.

techcrunch.com/2024/08/15/coderabbit-raises-16m-to-bring-ai-to-code-reviews

Geekbench releases AI benchmarking app

It’s a successor to Geekbench ML.

techcrunch.com/2024/08/15/geekbench-releases-ai-benchmarking-app

Enhancing Incentives Through AI - HRO Today

As interest in using artificial intelligence continues to grow, recognition and rewards leaders are searching for ways to best leverage the technology to support their programs.

www.hrotoday.com/news/employee-engagement/recognition-rewards/enhancing-incentives-through-ai-2

❝

AI is the new electricity. Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don’t think AI will transform in the next several years.

Andrew NG

Andrew Yan-Tak Ng is a British-American computer scientist and technology entrepreneur focusing on machine learning and artificial intelligence.

Workato, a leader in AI-driven enterprise orchestration, has unveiled Workato Agentic, a low-code platform for building and managing purpose-specific AI agents. The platform consists of two key components: Workato Genie, a framework for creating AI agents called Genies, and Genie Apps, pre-built applications for various business needs.

Workato Genie enables AI agents to retrieve information, take action on applications, and orchestrate processes dynamically. These agents can interact through conversational interfaces or be triggered by events in enterprise applications. The platform leverages Workato's extensive integration capabilities, connecting to over 8,500 applications and databases.

Initial Genie Apps include ITGenie for IT helpdesk automation and SalesGenie for improving sales productivity. These pre-built solutions aim to address specific business needs while allowing for customization.

Key features of Workato Genies include domain expertise, continuous learning, real-time context enrichment, reasoning capabilities, secure actions, responsible behavior, and collaboration with other AI agents and humans.

Workato Agentic aims to overcome limitations of current point-to-point AI solutions by offering a comprehensive platform for enterprise-wide AI agent deployment. The company is initially releasing an Exclusive Edition to 100 existing customers, with general availability planned for early 2025.

This launch reflects the growing trend of AI agent adoption in enterprises, with Workato positioning itself as a leader in the emerging agentic economy.

🛸Let’s Teleport in The Future

MIT Researchers Develop Comprehensive AI Risk Repository

Introduction

Researchers at MIT's FutureTech group have created an extensive "AI risk repository," a database cataloging over 700 potential risks associated with artificial intelligence systems. This initiative aims to provide a comprehensive resource for policymakers, industry stakeholders, and academics grappling with the complex landscape of AI safety and regulation.

Key Features of the AI Risk Repository

  1. Comprehensive Coverage: The repository includes more than 700 AI risks, categorized by causal factors, domains, and subdomains.

  2. Structured Organization: Risks are grouped into 23 subdomains, including areas such as discrimination, disinformation, and cyberattacks.

  3. Comparative Analysis: The project reveals significant gaps in existing risk frameworks, with most covering only a fraction of the identified risks.

  4. Collaborative Effort: The repository was developed in partnership with researchers from the University of Queensland, the Future of Life Institute, KU Leuven, and AI startup Harmony Intelligence.

Methodology and Findings

  • The team analyzed thousands of documents related to AI risk evaluations from academic databases.

  • They found that existing frameworks often focus on certain risks while overlooking others. For example:

    • Over 70% of frameworks covered privacy and security implications

    • Only 44% addressed misinformation risks

    • A mere 12% discussed the "pollution of the information ecosystem" (e.g., AI-generated spam)

Implications and Future Directions

  1. Policy and Research Tool: The repository aims to serve as a foundation for more comprehensive AI risk assessments and policy development.

  2. Time-Saving Resource: It offers a centralized database, potentially saving significant research time for those studying AI risks.

  3. Ongoing Research: The MIT team plans to use the repository to evaluate how well different AI risks are being addressed in practice.

Challenges and Considerations

  • The fragmented nature of current AI regulation globally may limit the immediate impact of such a repository.

  • Questions remain about whether alignment on risks is sufficient to drive effective AI regulation.

  • The repository doesn't address the limitations of many existing AI safety evaluations.

Conclusion

The MIT AI risk repository represents a significant step towards a more comprehensive understanding of the potential dangers associated with AI systems. While it offers a valuable resource for researchers and policymakers, its real-world impact will depend on how it's utilized in the ongoing efforts to develop safe and responsible AI technologies.

As the field of AI continues to evolve rapidly, tools like this repository may become increasingly crucial in navigating the complex landscape of AI risks and regulations.

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I hope you find these resources helpful.Let me know if you have any questions, if there's anything else I can do to assist you, or what you would like to learn more about in AI.

Have an amazing day!

No more playing catch-up. It's time to GET AHEAD!!! 🚀🚀🚀

🙌🏼

Elena

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