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- ⚡🔋LinkedIn Launches 'Hiring Assistant' Which Automates Recruitment
⚡🔋LinkedIn Launches 'Hiring Assistant' Which Automates Recruitment
And more: Elon Musk's xAI Seeks $40B Valuation in New Funding Round; Narada AI Debuts at TechCrunch Disrupt with Revolutionary Assistant
Supercharged With AI
October 30, 2024
Good morning! ☀️ AI is transforming industries—let’s see how it’s reshaping the world around us.
🚀 Here is what you are going to find in The Supercharged today:
LinkedIn launches AI recruiter. Your next job interview might be with a robot! 👔🤖
Elon's xAI wants more billions. The AI money printer goes brrr! 💰🚀
Google's Pichai drops a bombshell: AI writing 25% of their code. Human codersit's , time to update those resumes! 👨💻⚡
GMI Cloud bags $82M for GPU infrastructure. Building fancy parking lots for AI brains! 🏗️💫
US getting ready to block Chinese AI investments. Tech cold war gets frostier! 🌡️🚫
GitHub's Copilot lands on Xcode. Apple developers getting an AI co-pilot! 🍎💻
CTGT working on AI safety measures. Teaching robots to play nice! 🛡️🤖
Aesthetic drops Shazam-like fashion app. "Hey, Siri, who wore it better?" 👗📱
ForceField is fighting deepfakes with data verification. A digital lie detector enters the chat! 🕵️♂️🔍
LinkedIn launches its first AI agent to take on the role of job recruiters
LinkedIn has announced its first AI agent, Hiring Assistant, marking a significant evolution in its recruitment technology offerings. This new tool, designed to automate various aspects of the recruitment process, represents LinkedIn's most ambitious AI implementation to date and targets one of its most valuable user segments - professional recruiters.
Technical Innovation and Implementation
The AI agent leverages LinkedIn's vast database of one billion users, 68 million companies, and 41,000 skills to deliver comprehensive recruitment solutions. Built on OpenAI's GPT large language model through Microsoft's partnership, the tool can transform brief notes into detailed job descriptions, source candidates, and manage candidate engagement.
Unlike previous AI implementations at LinkedIn, which focused on back-end operations, Hiring Assistant represents a dramatic shift toward front-end automation. The system is designed to handle multiple recruitment tasks traditionally managed by human recruiters, from initial job posting creation to candidate sourcing and engagement. It can analyze uploaded job descriptions or even informal notes to generate qualification lists and identify potential candidates based on skills rather than traditional metrics like location or education.
The platform also integrates with third-party applicant tracking systems, demonstrating LinkedIn's commitment to creating a seamless recruitment ecosystem. Future updates will include additional features such as automated messaging, interview scheduling, and candidate follow-up management.
Strategic Impact and Market Implications
This launch comes at a crucial time for LinkedIn's business strategy. The platform's Talent Solutions division, which includes its recruiter business, previously reported revenues exceeding $7 billion. The introduction of Hiring Assistants could significantly impact this revenue stream, either by enhancing the value proposition for recruiters or potentially disrupting traditional recruitment processes.
The tool is currently being tested with select enterprise customers, including AMD, Canva, Siemens, and Zurich Insurance, with plans for a broader rollout in the coming months. This careful deployment strategy suggests LinkedIn is taking a measured approach to implementing such a transformative technology.
The development of Hiring Assistant builds upon LinkedIn's earlier AI initiatives, including learning coaches, marketing campaign assistants, and profile refreshers. However, this new tool represents a more comprehensive approach to automation in the recruitment space, potentially reshaping how companies approach hiring.
LinkedIn's VP of Engineering, Erran Berger, emphasizes that this is "bleeding edge" technology, both in terms of user experience and underlying technical infrastructure. The company's focus on perfecting this tool before expanding its applications indicates a strategic approach to AI implementation.
The introduction of Hiring Assistants raises important questions about the future of recruitment. While designed to handle repetitive tasks and allow recruiters to focus on more impactful work, it could also signal a broader shift toward automated recruitment processes. This evolution could have significant implications for both recruiters and job seekers.
For job seekers, this could mean their profiles and skills will be evaluated more systematically by AI before human interaction occurs. For recruiters, it represents both an opportunity to increase efficiency and a potential challenge to traditional recruitment methodologies.
As LinkedIn continues to develop and refine this technology, its success could set new standards for AI implementation in professional networking and recruitment platforms, potentially influencing how other social platforms approach AI integration in their business solutions.
Elon Musk’s xAI is reportedly trying to raise billions more
Elon Musk's AI company xAI is reportedly seeking to raise several billion dollars at a $40 billion valuation, according to The Wall Street Journal. This would nearly double the company's current $24 billion valuation, following its $6 billion Series B round in May. xAI, which recently moved into OpenAI's former offices, developed the Grok model for X and now offers an enterprise API. The company is training new versions of Grok using 100,000 Nvidia GPUs and claims an advantage through access to X's data, following recent privacy policy changes allowing xAI to train on X posts.
CEO Sundar Pichai rings alarm for software engineers, says 25 percent of Google software now written by AI
Google CEO Sundar Pichai has revealed that over 25% of the company's new code is now generated by AI and reviewed by human engineers. This shift doesn't necessarily threaten coding jobs but suggests engineers will need to adapt their skills to focus on overseeing and refining AI-generated code rather than routine programming. The company has integrated AI across its operations, including making Gemini available through GitHub Copilot, and plans to launch DeepMind's Veo on YouTube Shorts. This AI integration is part of Google's broader strategy to streamline development processes and maintain its position as a tech industry leader.
📔#1 Insights Today on AI. Click the Links to Read
GMI Cloud secures $82M in Series A for its GPU cloud infrastructure
US finalizing rules to ban certain investments in AI tech in China
GitHub’s Copilot comes to Apple’s Xcode
CTGT aims to make AI models safer
Aesthetic launches the ‘Shazam for fashion’
ForceField helps detect deepfakes and digital deception by verifying source data
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Barbara Liskov is an American computer scientist who has made pioneering contributions to programming languages and distributed computing.
⬆️ ️ Trends: How Businesses Implement AI
Narada AI: The Enterprise Assistant That Does Your Work
After two years in stealth mode, Narada AI has emerged with an ambitious solution to workplace automation: an AI assistant that can actually use your work apps, not just talk about them. Making its debut at TechCrunch Disrupt 2024, the company sets itself apart in the crowded enterprise AI landscape with technology that can execute tasks across multiple applications simultaneously.
Built on groundbreaking research from UC Berkeley, Narada's approach stems from work on "LLM Compilers" by co-founders Kurt Keutzer and Amir Gholami. The company's CEO, Dave Park, a Stanford PhD with 24 years in enterprise sales, believes their unique ability to navigate websites without APIs gives them an edge in the race to create truly useful AI workplace assistants.
In practice, the assistant proves surprisingly capable. Living in a browser chat window, it can draft emails, schedule meetings, take notes, and search the web with impressive efficiency. During testing, it demonstrated practical abilities like declining meeting invitations with properly formatted emails and arranging dinner reservations while coordinating schedules—all with minimal human intervention.
What makes Narada special is its hybrid approach to interfacing with applications. While it uses traditional APIs for some functions, it can also navigate web interfaces directly—clicking, scrolling, and typing like a human user. This "Web Redemption" capability allows it to interact with enterprise applications that don't offer API access, similar to how a Roomba creates an internal map of your home.
However, this ambitious approach isn't without challenges. Web-navigating AI agents are notoriously difficult to maintain, as website updates can break their functionality. Narada addresses this by focusing specifically on enterprise applications rather than attempting to navigate the entire internet. The company already claims one Fortune 500 client, though its identity remains undisclosed.
The tool also raises important questions about data access and security. Users must grant the assistant extensive permissions—access to emails, calendars, and contact lists. While Narada promises not to train its AI models on customer data, this level of access requires significant trust in both the technology and the company itself.
Having raised several million dollars from advisers, Narada is now seeking additional venture capital funding. As the enterprise AI assistant space becomes increasingly competitive, Narada's unique approach to actual task execution, rather than just conversation, could help it stand out in a crowded field.
This isn't a replacement for human assistants, but it might be the next best thing—a tool that can handle mundane tasks quickly and efficiently, freeing up humans to focus on more complex and creative work. As long as you're comfortable with the privacy trade-offs, Narada's assistant offers a glimpse of how AI might truly transform our daily work lives.
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🛠️ Create Your GPT for Personal Use with ChatGPT
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