Recruiter's AI Digest #42
Resources and perspectives to keep you ahead of the curve as AI deepens its impact in Recruiting. 🤖
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This week’s digest
Check out the awesome material this week:
📖 Articles:
AI - artificial intelligence - at Davos 2024
(World Economic Forum)How to Build the Right Team for Generative AI
(The Sequence)Mark Zuckerberg’s new goal is creating artificial general intelligence
(The Verge)How OpenAI is approaching 2024 worldwide elections
(OpenAI)
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AI - artificial intelligence - at Davos 2024
(World Economic Forum)
At Davos 2024, one of the key themes discussed was Artificial Intelligence (AI) and its profound impact on the economy, society, and workforce.
Here are some of the key points on AI that were discussed:
Global Economic Influence: AI's role as a driving force in both the economy and society was a major focus, emphasizing its potential to solve global challenges and spur innovation.
Impact on the Workforce: The International Monetary Fund (IMF) report highlighted that nearly 40% of global employment is affected by AI, with significant implications for job roles, skills required, and overall productivity, especially in advanced economies.
Regulatory and Governance Developments: Discussions underscored the importance of establishing effective regulations and governance frameworks for AI, with particular reference to the European Union's recent efforts in drafting AI rules.
Sector-Specific Applications and Discussions: The forum featured diverse insights into AI's applications in various sectors, including its transformative potential in healthcare, fintech, and education, as well as its ethical and societal implications.
Link here.
How to Build the Right Team for Generative AI
(The Sequence)
Raza Habib, CEO & Co-founder of Humanloop, shares valuable insights for engineering leaders venturing into Generative AI and Large Language Models (LLMs). Here's a quick rundown of the key takeaways:
Shifting from ML Engineers to In-House Talent: With AI's increasing accessibility, existing team members can take on AI projects without needing specialized ML engineers.
Prominence of Prompt Engineering: This skill, focusing on creating effective AI prompts, is more about clear communication than technical expertise, ideal for product managers and domain experts.
Generalist Engineers as AI Pioneers: Full-stack engineers are well-placed to implement AI techniques, emerging as versatile "AI Engineers".
The link to the full article is here.
Mark Zuckerberg’s new goal is creating artificial general intelligence
(The Verge)
The pursuit of AGI marks a significant shift in the tech landscape, with companies like Meta, OpenAI, and Google leading the charge.
Superhuman Intelligence Goal: Major tech companies, including OpenAI, Google, and now Meta, are intensively working towards developing Artificial General Intelligence (AGI) - an AI with superhuman capabilities.
Meta's Strategic Shift: Mark Zuckerberg, CEO of Meta, is focusing on AGI without a specific timeline or definition but aims to integrate Meta's AI research group with its generative AI product teams. This move aims to quickly translate AI breakthroughs to benefit its billions of users.
AI Talent War and Computing Power: The tech industry faces fierce competition for a limited pool of AI experts, with significant compensation packages. Additionally, Zuckerberg reveals Meta's substantial investment in computing resources, expecting to own over 340,000 Nvidia H100 GPUs by the year's end, potentially the largest individual company capacity for AI development.
Open vs. Closed AI Models: Zuckerberg emphasizes Meta's open-source approach to AI development, contrasting with other companies’ more closed methodologies. He sees open sourcing as a way to democratize AI benefits and address issues of unequal access to advanced technology.
Read the post here.
How OpenAI is approaching 2024 worldwide elections
(OpenAI)
OpenAI is actively working on multiple fronts to ensure their AI technologies support the integrity of the 2024 worldwide elections, balancing innovation with responsibility.
Focus on Preventing Abuse: OpenAI is dedicated to ensuring their tools, including ChatGPT and DALL·E, are used responsibly, particularly to prevent deepfakes, misleading influence operations, and impersonation of candidates.
Enhanced Transparency Measures: Efforts are underway to improve transparency around AI-generated content, such as implementing digital credentials for DALL·E images and developing a provenance classifier to identify AI-generated images.
Authoritative Voting Information: Collaborating with the National Association of Secretaries of State, ChatGPT will direct US users to CanIVote.org for reliable voting information, with plans to extend similar initiatives globally.
Cross-Functional Team Effort: A specialized team combining safety systems, threat intelligence, legal, and policy expertise is working to swiftly address potential election-related abuses of AI technology.
Read their blog post here.
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