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šŸ’¼ Is LinkedInā€™s New Hiring Assistant About to Replace Recruiters?

October 30, 2024

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Welcome back AI Brainiacs!

Did you know that by 2030, 75% of code could be generated by AI? šŸ¤– Tools like GitHub Copilot and OpenAIā€™s Codex are already transforming coding, and this shift could free up developers for higher-level problem-solving while cutting development time by up to 50%. ā±ļø

In Todayā€™s Issue:

  • Is LinkedInā€™s New Hiring Assistant About to Replace Recruiters?

  • Reddit Turns a Profit for the First Time Ever, Thanks to AI and User Growth

  • Build Web Apps in Plain English? GitHubā€™s New Spark Makes It Possible

Read time: Under 4 minutes

šŸŖ WEEKLY ESSENTIAL Ai BITES

LINKEDIN

šŸ’¼ Is LinkedInā€™s New Hiring Assistant About to Replace Recruiters?

The Scoop:

LinkedIn has unveiled Hiring Assistant, an AI-driven tool designed to streamline recruitment tasks for large companies. Itā€™s LinkedInā€™s first official ā€œAI agent,ā€ powered by OpenAIā€™s GPT, and is now live for select enterprise clients, with a broader rollout planned.

Key Things to Know:

  • AI for recruiters: Hiring Assistant can create job descriptions, source candidates, and manage recruiting tasks like messaging and scheduling, automating much of the recruitment process.

  • Skills-based matching: The tool focuses on skills rather than factors like location or education, and it integrates with third-party application tracking systems.

  • B2B focus: This AI tool is part of LinkedInā€™s Talent Solutions, which hit $7 billion in revenue, aimed at the recruitment industryā€™s most time-consuming tasks.

Why it matters:
Hiring Assistant represents a major shift in recruitment, taking on administrative work and allowing recruiters to focus on strategic tasks. For LinkedIn, this B2B-focused AI is a potential game-changer, offering efficiency gains that could make it indispensable in the recruitment space. Read More

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REDDIT

šŸš€ Reddit Turns a Profit for the First Time Ever, Thanks to AI and User Growth

The Scoop:

Reddit has achieved its first-ever profit, earning $29.9 million in Q3, with daily users up 47% to 97.2 million.

Key Things to Know:

  • AI translation boost: A new translation feature helped drive user growth, especially in international markets.

  • Revenue beyond ads: Data licensing deals with Google and OpenAI are adding to Redditā€™s earnings.

  • Stock success: Since going public, Redditā€™s stock has tripled, signaling investor confidence.

Why it matters:
Redditā€™s profitability marks a major milestone, highlighting the role of AI tools and data deals in its growth strategy, which could further expand its market impact. Read More

GITHUB

šŸ’» Build Web Apps in Plain English? GitHubā€™s New Spark Makes It Possible

The Scoop:

GitHub has introduced Spark, an experimental tool that lets users build web apps using natural language prompts, showcased at GitHub Universe.

Key Things to Know:

  • Natural language app creation: Spark allows users to build micro apps by simply describing them in plain English, with live previews and iterative refinement.

  • No coding limits: Spark can handle complex prompts and integrates with GitHub, GitHub Actions, and Azure CosmosDB for app storage.

  • Collaboration-friendly: Users can share their Spark creations with customized access controls, and developers can dive into the code to make adjustments.

Why it matters:
Spark democratizes web app development, enabling non-coders to bring their ideas to life and explore software creation. For developers, itā€™s a quick prototyping tool that still allows code-level customization, blending ease of use with advanced capabilities. Read More

šŸ‘€ IN CASE YOU MISSED THESEā€¦

šŸ”§ OpenAI develops its first in-house AI chip.

šŸ Apple unveils the first wave of Apple Intelligence.

šŸŽ„ Meta launches MarDini, a new video diffusion model family.

āš–ļø Lawsuit claims Character.AI played a role in teen's suicide.

šŸ–„ļø Alphabet enters the race to build computer-controlling AI with ā€˜Project Jarvis.

 šŸ¤– ChatGPT Power Hacks

 šŸ“ˆ Trending Ai Tools for Productivity

šŸ· PricingMaker: Determine the optimal price for your products with AI.

šŸ—ŗ MyPeas: Turn job descriptions into actionable AI roadmaps.

šŸ“š Sourcely: Streamline academic research with AI-powered literature sourcing.

šŸ–Š Fill Genius: Automate form filling in seconds using AI.

šŸ‘Ÿ Kick: Manage accounts effortlessly with AI assistance.

* indicates a promoted tool, if any.

 šŸ Ai Buzz Word Spotlight

šŸ” Retrieval-Augmented Generation (RAG)

Retrieval-Augmented Generation, or RAG, is like giving an AI a boost of extra knowledge. It combines a language modelā€™s abilities with external information sources to provide richer, more accurate answers.

šŸ’” Example: Imagine an AI answering questions about history. With RAG, it can pull details from trusted sources, like a digital library, to give more reliable and complete responsesā€”kind of like having an encyclopedia on hand while chatting!

šŸ¤” Real or Ai?

Real or AI QUIZ: Can You Tell the Difference?

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šŸ’ø NVIDIA BILLIONAIRE PIC OF THE WEEK

Where Genius Meets Fortuneā€¦

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Warm regards,
Mick & Rena