💼 LinkedIn launches Hiring Assistant to help recruiters

Welcome, AI enthusiasts

LinkedIn's new Hiring Assistant promises to help recruiters streamline their hiring process and find talent more efficiently. Meanwhile, OpenAI is working on developing its own custom AI chips, aiming to improve infrastructure efficiency and reduce costs. And GitHub launches Spark, a tool designed to let anyone build mini-apps without coding knowledge. Let’s dive in! 

In today’s insights:

• LinkedIn launches Hiring Assistent to help recruiters

• OpenAI starts making their own custom AI chips

• GitHub introduces Spark: Build mini-apps without writing code

Read time: 4 minutes

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LINKEDIN
💼 LinkedIn launches Hiring Assistant to help recruiters

Evolving AI: LinkedIn introduces Hiring Assistant, an AI tool to help companies hire new employees.

Key Points:

• LinkedIn's Hiring Assistant uses AI to help with hiring, from writing job descriptions to finding candidates.

• It is currently being tested by some big companies, with a wider release coming soon.

• It uses OpenAI's GPT to make recruiters' work faster and easier.

Details:

LinkedIn has launched Hiring Assistant, an AI tool to help recruiters with tasks like writing job descriptions, finding good candidates, scheduling interviews, and answering candidate questions. Right now, it is being tested by some big companies like AMD and Siemens. The goal is to make the boring, repetitive parts of hiring easier so recruiters can focus on more important things. The Hiring Assistant works with current tracking systems and uses LinkedIn's huge network of data, allowing it to quickly identify suitable candidates and streamline communication throughout the hiring process, making it a big new step in LinkedIn's AI tools.

Why It Matters:

Hiring Assistant could change how hiring works by taking care of boring tasks and letting recruiters focus on more important decisions. This could make hiring faster and better, but it also makes us wonder how much of the recruiter's job should be done by AI, especially when building relationships with candidates.

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OPENAI
💡 OpenAI starts making their own custom AI chips

Evolving AI: OpenAI decides not to build its own factories and instead focuses on making custom AI chips.

Key Points:

• OpenAI is working with Broadcom and TSMC to make its first AI chip.

• AMD chips are being added along with Nvidia's to help OpenAI handle its growing needs.

• Making its own chips helps OpenAI save money and solve supply problems.

Details:

OpenAI is planning to make its own AI chips, working with Broadcom to design them and using TSMC to make the chips by 2026. The company decided not to build its own factories because it would be too expensive and take too long. Instead, OpenAI will work with other companies for its hardware needs. Right now, OpenAI is also adding AMD’s MI300X chips along with Nvidia’s to make sure they have enough supply to meet demand. The custom chips are expected to focus on making AI inference tasks faster and more efficient.

Why It Matters:

OpenAI wants to make its own AI chips and use different suppliers to save money and get the computer power it needs. This could help solve the current chip shortages in the tech industry and make AI more affordable for everyone. This trend might encourage more tech companies to develop their own hardware, which could lead to more competition in the chip market.

GITHUB
✨ GitHub introduces Spark: Build mini-apps without writing code

Evolving AI: GitHub's new Spark platform lets anyone build AI apps using simple language.

Key Points:

• GitHub's Copilot now has more AI models to choose from, like Anthropic, Google, and OpenAI.

• GitHub Spark helps beginners make small apps without needing to manage cloud services.

• Copilot has new features, like editing multiple files at once and faster code reviews.

Details:

GitHub has launched Spark, a new platform that helps users build AI-powered mini-apps using plain language. Announced at GitHub's Universe '24 conference, Spark allows users to create small apps, called "Sparks," which utilize AI and data from other sources—all without needing to understand cloud infrastructure. GitHub Copilot users will also be able to choose between different AI models, such as Anthropic's Claude 3.5 Sonnet or Google's Gemini 1.5 Pro, and can switch between these models during the same conversation to find the best fit for their needs. In addition, GitHub announced new features for Copilot, such as the ability to edit multiple files simultaneously and provide quick code reviews in just 30 seconds.

Why It Matters:

GitHub's new tools make building AI apps easier, especially for people who don't have experience with cloud technology. This could lead to more people with more creative ideas making their own custom apps to solve everyday problems. This way development will not only be faster, but will also include ideas from non-developers, potentially bringing fresh and valuable new insights.

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