🗼This week in AI: Google Targets AI Spam

AI Transforms Education and Security, Spurs Corporate Innovation, and Cleans Up Digital Spaces

The AI revolution is reshaping education, cybersecurity, business operations, and digital integrity, with breakthroughs like self-teaching AI models, AI's burgeoning role in classrooms, and Google's fight against AI-generated spam. High-profile incidents like AI theft and the creation of AI malware underscore the urgency of addressing security in the AI-dominated landscape. These developments highlight the dynamic interplay between innovation, ethical concerns, and the transformative potential of AI across various domains.


Researchers from VMware discovered that AI models perform best when generating their own prompts for solving math equations, challenging the high demand for human prompt engineers since ChatGPT's launch. This finding suggests AI's self-understanding surpasses human input, particularly in technical tasks. Despite this, mastering prompt engineering remains valuable, with OpenAI providing resources to enhance prompting skills. (Link)

AI is finding a new home in America’s classrooms, with educators increasingly integrating tools like Writable and Canva's AI features to enhance learning and provide personalized feedback. Despite initial bans by major school districts, AI's potential in education is being recognized, with nearly 40% of teachers planning to use AI tools by the end of the 2023-24 school year. These developments point to a future where AI platforms become as integral to education as the internet tools used today. (Link)

Google engineer steals AI secrets, uploading over 500 confidential AI files to a personal account while covertly working for Chinese AI startups. Facing up to 10 years in prison, the incident underscores the global race for AI dominance and the risks of insider threats. This high-profile case highlights the urgency of securing sensitive technology in the competitive AI landscape.(Link)

Researchers create self-spreading AI malware, dubbed Morris II, designed to infiltrate and propagate through AI systems by tricking models with adversarial prompts. Successful experiments demonstrated the worm's ability to extract data and manipulate AI-driven communication tools across major platforms. This breakthrough underlines the growing cybersecurity challenge in the AI-integrated digital landscape, highlighting the potential for widespread impact from a single breach. (Link)

Hire Your First AI Employee: Ava, An AI BDR, designed to revolutionize lead generation with the capability to research and send thousands of personalized emails at a fraction of the cost. As the inaugural AI employee from Artisans, Ava taps into a 270M+ contact database to autonomously identify and engage potential leads, significantly increasing leads, meetings, and deals. Embrace the future of sales with Ava, combining efficiency with unparalleled scalability. (Link)

Google wants to kill AI-generated spam pages in search results, targeting pages that use AI to create mass quantities of low-quality content to manipulate rankings. The tech giant announced plans to downrank these pages and websites employing dubious tactics, giving site owners until May 5 to comply with new standards. This move is aimed at improving the quality and relevance of search results for users.(Link)


Tango - enables users to make how-to guides and documentation by automatically generating how-to guides while the user works. We love Tango because it effortlessly creates documentation while you focus on the task at hand.

Fireflies - our notetaker of choice! Is an AI voice assistant that helps transcribe, take notes, and complete actions during meetings. Fireflies transcribes, highlights key points, and even sets follow-up actions, ensuring every meeting is productive..

Bardeen - Automate your repetitive tasks and control web apps from anywhere! Bardeen is a no-code AI workflow automation platform that replaces repetitive tasks with shortcuts.


Rows is a cutting-edge spreadsheet editor with unique features. Beyond standard calculations, it allows for interactive elements and attractive charts. It seamlessly connects with business data sources, from social media to back-office platforms. With no coding, users can integrate various platforms and ensure data remains synchronized.

How to plan and track your growth experiments

- To use Rows template, follow the link Growth Experiments tracker, click on Use template and save it in one of your workspace’s folders.

  • Use columns A and C to title, describe and set a priority for your experiment, whether it is a change in your product tour, or adding a new step in your onboarding.

  • - Columns D and E help you to classify the experiment by choosing the portion of the user journey impacted, i.e. retention, onboarding, revenue, etc and the category to which it belongs, i.e. survey, email, product tour, etc.

  • Columns F and G are meant to enclose the goal and the KPI(s) to monitor to evaluate the success of the experiment. This is probably the most important element to keep in mind even before starting the experiment: you need to ask yourself, where does this experiment lead to? Which specific metric will be impacted? is it relevant enough to our company goals?

  • The remaining columns help you track the project management components of your experiments, such as setting the owner, the time frame, the status, or linking any document you are using to keep extensive notes about the experiment.

    Finally, if you are using Notion or any other internal tools that support iframes to record the details of these experiments, you can embed this table in your document. Just click on the ... icon in the top right corner of the table and pick Embed. Ensure access is granted and copy URL!

Learn more here


Elham Tabassi

Associate Director of Emerging Technologies, NIST

She led the development of the first AI Risk Management Framework, aiming to make AI systems more trustworthy and responsible. Born in Iran and inspired by a dream of science, she immigrated to the U.S. for her graduate studies, contributing significantly to machine learning and AI ethics at NIST. Her work encourages a broad application of the framework, engaging a diverse range of professionals to address AI's risks and benefits comprehensively. Tabassi champions the idea that with hard work and integrity, anyone can achieve their dreams, breaking barriers in science and technology.

Learn more here.



Anthropomorphism is the tendency of humans to attribute human qualities to nonhumans like animals and chatbots. Because chatbots and other AI models are created to sound or appear human, people tend to anthropomorphize them, attributing either a “he” or “she” pronoun.


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