🤖 Elon Musk’s xAI Supercomputer Project

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Welcome back AI enthusiasts!

In today’s AI Report:

• 🦺Elon Musk’s xAI Supercomputer Project

• 🧊Google’s “AI Overviews” Meltdown

• 📊ByteDance’s G-DIG Method for Data Selection

• 🛠5 Trending Tools

• 💰Venture Capital Updates

• 💼Who’s Hiring?

Read Time: 3 minutes

🗞RECENT NEWS

XAI

🦺Elon Musk’s xAI Supercomputer Project

Elon Musk’s xAI startup reportedly plans to build a massive supercomputer to support Grok-1.5 and future AI projects.

Key Details:

• The supercomputer will leverage over 100,000 Nvidia H100 GPUs to develop trillion-parameter language models and accelerate AI workloads.

• Musk refers to the supercomputer as the “Gigachad of Compute,” planning to partner with Oracle and have it operational by Fall 2025.

• Musk aims to leverage the supercomputer to build expansive GPU clusters to improve parallel processing tasks.

• Parallel processing refers to breaking down complex calculations involved in training AI models into smaller, independent chunks that can be tackled simultaneously.

• By clustering multiple GPUs together, xAI achieves a significant boost in processing power, allowing future AI projects to be trained on larger datasets in a shorter period of time.

• The supercomputer will train future iterations of Grok-1.5: xAI’s latest open-source conversational chatbot that showcases enhanced reasoning capabilities and can process longer and more complex prompts up to 128K tokens.

Why It’s Important:

• AI models thrive on data. The more data an AI model is trained on, the better it performs. However, processing and analyzing massive datasets strains traditional computational resources.

• Greater computing power allows AI models to handle vast amounts of data efficiently, leading to more accurate AI models with faster processing and analysis.

GOOGLE

🧊Google’s “AI Overviews” Meltdown

Google’s new “AI Overviews,” a feature that provides AI-generated summaries at the top of Google Search results, is facing backlash after generating bizarre and inaccurate summaries.

Key Details:

• “AI Overviews” rolled out last week after the Google I/O 2024 developer conference. It was added above standard Google Search results to offer more streamlined access to answers.

• “AI Overviews” started generating false and misleading summaries such as suggesting eating rocks, recommending running off a cliff, and supporting smoking while pregnant.

• Google spokeswoman Lara Levin stated that the vast majority of “AI Overview queries resulted in high-quality information. Many of the examples we’ve seen have been uncommon queries.”

Why It’s Important:

• Google is reportedly working on manually disabling “AI Overviews” for specific Google Search results involving medical questions, recipe ideas, and committing crimes.

• Earlier this year, Google Gemini’s image generation tool refused to depict historically accurate results of Vikings, Nazis, and the Pope.

• “Google doesn’t have a choice right now.” Google analyst Thomas Monteiro at Investing Group said. “Companies need to move really fast, even if that includes skipping a few steps along the way.”

🩺 PULSE CHECK

AI RESEARCH

📊ByteDance’s G-DIG Method for Data Selection

Large Language Models (LLMs) are impressive general-purpose AI tools. However, they need fine-tuning with instructions to excel at specific tasks, like language translation.

The quality and variety of instructions used to fine-tune the LLM are crucial for its success. Poor or repetitive instructions won’t lead to optimal language translation.

To solve this issue, ByteDance researchers developed G-DIG: a method that utilizes gradient-based techniques to select high-quality and diverse instruction data for LLMs.

G-DIG analyzes how instructions influence the LLM during the training process and identifies high-quality instructions that positively impact the AI model’s language translation performance.

G-DIG ensures a variety of influences by creating clusters of instructions based on how they affect the LLM and selecting a representative sample from each cluster.

🛠TRENDING TOOLS

📚Stacks is a search engine for your bookmarks.

🚀Hamming launches trustworthy AI apps in weeks.

👷‍♂️Eververse builds your product roadmap at lightspeed.

🍎Kerling is an in-context AI writing assistant for MacOS.

💵Kudos is a free AI-powered wallet that automatically calculates credit card rewards.

🔮Browse our always Up-To-Date AI Tools Database.

💰VENTURE CAPITAL UPDATES

• Elon Musk’s xAI secures a $6B Series B to take on OpenAI.

• SoftBank plans to invest nearly $9B into high-growth AI companies.

• Rows raises a $8.7M Series A to expand its cloud-based, AI-powered spreadsheet app.

💼WHO’S HIRING?

• VecFlow (San Francisco, CA): Full-Stack, Backend, ML Engineering Intern, Summer 2024

• Tesla (Palo Alto, CA): Self-Driving AI Engineer Intern, Fall 2024

• Nimble (Redwood City, CA): Software Engineer Intern, Fall 2024

• Gatekeep (New York, NY): AI Software Engineer, Fashion App, New Grad

• Waymo (Bellevue, WA): Software Engineer, Computer Vision/Deep Learning

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📒FINAL NOTE

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