Grok 3.0 is coming

Welcome, AI enthusiasts.

Elon Musk’s AI startup, xAI, only announced its inception just over a 12 months ago — and now they’re firing up 100k GPUs to create the “world’s strongest AI” by December.

s xAI seriously about to turn into a top competitor within the AI race, or is that this just one other moonshot? Let’s investigate…

In today’s AI rundown:

• The “world’s strongest” supercomputer

• Google’s AI-powered weather model

• Transform images in seconds with Freepik Expand

• MIT’s AI identifies breast cancer risk

• 6 recent AI tools & 4 recent AI jobs

• More AI & tech news

Read time: 4 minutes

LATEST DEVELOPMENTS

XAI

🚀 The “world’s strongest” supercomputer

The Rundown: Elon Musk and xAI just announced the Memphis Supercluster — “probably the most powerful AI training cluster on the earth“, also revealing that Grok 3.0 is planned to be released in December and must be probably the most powerful AI on the earth.

The small print:

• Musk tweeted that xAI just launched the “Memphis Supercluster,” using 100,000 Nvidia H100 GPUs, making it “probably the most powerful AI training cluster on the earth.”

• The xAI founder also revealed that Grok 2.0 is completed training and will likely be released soon.

• The supercluster goals to create the “world’s strongest AI by every metric”, Grok 3.0, by December 2024.

• In a separate tweet yesterday, Musk also revealed that Tesla plans to have humanoid robots in “low production” for internal use next 12 months.

Why it matters: Love him or hate him, the speed at which Elon and the team at xAI operate has been wild to witness. If estimates are accurate, xAI is likely to be on target to create probably the most powerful AI systems on the earth by 12 months’s end — solidifying its position as certainly one of the highest competitors within the space and not only one other AI startup.

TOGETHER WITH ENCORD

🧹 Clean data: The key ingredient for AI success

The Rundown: Is poor data quality secretly sabotaging your AI projects? Encord’s latest webinar reveals make easy changes to your data pipeline for breakthrough model performance.

Discover :

• Surface probably the most relevant data in your specific AI needs

• Automate the tedious strategy of dataset cleansing

• Apply industry-tested best practices to real-world AI challenges.

Don’t let poor data break your AI models –  join the webinar and unlock the complete potential of your AI products.

GOOGLE AI

🌦️ Google’s AI-powered weather model

The Rundown: Google researchers have developed a brand new AI-powered weather and climate model called ‘NeuralGCM’ by combining methods of machine learning and neural networks with traditional physics-based modeling.

The small print:

• NeuralGCM has proven more accurate than purely machine learning-based models for 1-10 day forecasts and top extended-range models.

• NeuralGCM is as much as 100,000 times more efficient than other models for simulating the atmosphere.

• The model is open-source and might run relatively quickly on a laptop, unlike traditional models that require supercomputers.

Why it matters: At as much as 100,000 times more efficient than traditional models — NeuralGCM could dramatically enhance our ability to simulate complex climate scenarios quickly and accurately. While still a ton of adoption challenges ahead, it’s a giant step forward for more informed climate motion and resilience planning.

AI TRAINING

🎨 Transform images in seconds with Freepik Expand

The Rundown: Freepik Expand allows users to seamlessly adapt images when zooming or resizing by filling the gaps with AI.

Step-by-step:

1. Head over to Freepik and upload any image.

2. Select a facet ratio and adjust on the canvas.

3. Add a prompt for custom fills, hit “Expand” and choose your favorite generated image.

4. Enhance your image with Freepik’s AI tools: Upscaler for sharper details, Retouch for edits, and Reimagine for variations.

P.S. You need to use the code EXPAND for a free Premium trial, exclusive to the 100 first Rundown readers.

Get more AI tutorials →

PRESENTED BY DATACHAIN

📊 Tame your AI’s unstructured data

The Rundown: DataChain is a brand new open-source tool designed to handle the challenges of managing unstructured data in AI projects — providing a framework for developers to handle complex datasets more efficiently.

DataChain offers features for:

• Sourcing, curating, and versioning data from cloud locations at scale

• Integrating metadata from JSON, parquet, and CSV sources

• Accelerating AI model inferences through parallelization

• Simplifying AI output management with Python integration

Able to supercharge your data workflow? Try DataChain out here and star the repo today! 

AI RESEARCH

🧬 MIT’s AI identifies breast cancer risk

The Rundown: Researchers from MIT and ETH Zurich have developed an AI model that may discover different stages of ductal carcinoma in situ (DCIS), a kind of preinvasive breast tumor, using easy tissue images.

The small print:

• The model analyzes chromatin images from 560 tissue samples (122 patients), identifying 8 distinct cell states across DCIS stages.

• It considers each cellular composition and spatial arrangement, revealing that tissue organization is crucial in predicting disease progression.

• Surprisingly, cell states related to invasive cancer were detected even in seemingly normal tissue.

Why it matters: This AI model could democratize advanced breast cancer diagnostics, offering a less expensive, faster method to assess DCIS risk. While clinical validation remains to be needed, AI is probably going going to work hand-in-hand with pathologists within the near future to catch cancer earlier and more accurately.

NEW TOOLS & JOBS

Trending AI Tools

• 🧠 Supermemory – An open-sourced personal second brain

• 🍳 Food Mood – Get recipe inspiration by mixing two cuisines

• 🎓 Educato – Construct a web-based teaching platform with AI

• 🎬 Vozo Rewrite & Redub – Transform viral videos into recent stories from prompts

• 🎨 UltraPixel – Generate as much as 4096×4096 px ultra high resolution images

• 🏰 Rodin Gen-1 3D ControlNets – Generate 3D models from a structure reference

Browse more AI tools →

Latest AI Job Opportunities

• 🧠 Meta – Research Scientist, Computer Vision (PhD)

• 📈 Metropolis – Director, Technical Sales

• 📊 Author – Data Analyst

• Lambda – Machine Learning Researcher

Browse more AI jobs →

QUICK HITS

NVIDIA is reportedly working on a version of its recent flagship AI chips for the Chinese market that will be compatible with the restrictions around current U.S. export controls.

Elon Musk revealed in a tweet that Tesla could have humanoid robots working internally next 12 months at Tesla, with high production for other corporations expected in 2026.

Cohere announced a brand new funding round of $500M from investors including Cisco, AMD, and Fujitsu, bringing its recent valuation to a whopping $5.5B.

The Monetary Authority of Singapore committed $74.3M to support financial institutions in constructing capabilities towards quantum computing and artificial intelligence.

Scaled Foundations, a research company constructing ‘General Robot Intelligence’, announced GRID Beta, a free and cloud-based IDE to develop AI for robots.

Disney Research published a brand new paper on its famous bipedal robots, explaining the system that mixes expressive motions and dynamic mobility to make the robots particularly lifelike. 

THAT’S A WRAP

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