Elon Musk drops his OpenAI lawsuit

PLUS: Humanoid robots take the wheel

Welcome, AI enthusiasts.

Elon Musk just took a U-turn in his legal battle against OpenAI — withdrawing his lawsuit just one day before a key court date.

But fresh off the former co-founder’s very public criticism of OpenAI’s partnership with Apple, this feels like a saga that’s far from over. Let’s investigate…

In today’s AI rundown:

  • Musk drops OpenAI lawsuit

  • Microsoft pulls plug on Copilot GPT builder

  • Generate consistent images of a character

  • Autonomous robots take the steering wheel

  • 5 new AI tools & 4 new AI jobs

  • More AI & tech news

Read time: 4 minutes

LATEST DEVELOPMENTS

OPENAI & ELON MUSK

👨🏻‍⚖️ Musk drops OpenAI lawsuit

Image source: Reuters

The Rundown: Elon Musk just officially withdrew his lawsuit against OpenAI one day before a key court hearing, with the previous filing having accused OpenAI of abandoning its mission of ‘developing AI for the benefit of humanity’.

The details:

  • Musk co-founded OpenAI alongside Sam Atman and Greg Brockman in 2015, with the stated mission of keeping AI development open and non-profit.

  • Musk claimed that since his departure from the board in 2017, OpenAI pivoted to focus on profits, particularly through its partnership with Microsoft.

  • OpenAI denied Musk’s allegations, also releasing a series of emails from Musk’s days at the company that seem to contradict his arguments.

  • The withdrawal also comes just a day after Musk publicly criticized OpenAI's new deal with Apple, threatening to ban the devices from his companies.

Why it matters: The timing of the lawsuit withdrawal is particularly interesting, given the billionaire’s reaction on Monday to OpenAI’s integration into Apple’s OS. But despite this chapter seemingly coming to a close in the Musk vs. OpenAI saga, it still feels like a feud that is far from over.

TOGETHER WITH OCTOAI

The Rundown: Customizing your LLM is essential to unlocking the full capabilities of AI. Join OctoAI’s upcoming panel discussion on June 25 to gain the knowledge and strategies needed to help move fast and succeed with your own tailored model.

The Zoom event includes:

  • A diverse panel of OSS model fine tuning experts

  • Practical insights on delivering optimal LLM performance

  • The latest tuning techniques to match your specific use case

Register now for the free virtual event and level up your tuning knowledge.

MICROSOFT

Image source: Microsoft

The Rundown: Microsoft just announced that it is ‘retiring’ the ability to create custom GPTs within its Copilot Pro subscription service, citing a shift in focus to enterprise and commercial applications.

The details:

  • The functionality is being ended just months after its introduction to the $20/month Copilot Pro subscription.

  • GPT builder in Copilot allowed users to create custom instances of the chatbot in an identical fashion to OpenAI’s ChatGPT GPT Store.

  • Copilot GPTs and the data they’ve collected will be deleted on July 10, though the builder will still be available to commercial and enterprise customers.

Why it matters: Ending the Copilot GPT Builder just three months after launch seems is an odd move — particularly given the backdrop of OpenAI’s seemingly distancing relationship with Microsoft. But with the feature still available to enterprises, the move might just be a shift in priority.

AI TRAINING

The Rundown: Replicate’s new model allows you to create images of a specific character in different poses with just a single image.

Step-by-Step:

  1. Visit the new “consistent-character” model in Replicate and log in with your credentials.

  2. Upload a clear image of the character you want to generate.

  3. Fill in the prompt with character details, set the number of outputs, and choose your image format.

  4. Click “Run” and let Replicate do the magic.

Hot tip: Keep the "Randomize Poses" option enabled to explore different poses for your character.

PRESENTED BY COVALENT

The Rundown: Looking for a simpler way to develop and deploy your AI applications on advanced GPUs? With Covalent you can train, fine-tune, and serve AI entirely in Python, & skip the devops.

The details:

  • Code locally and run 100s of GPUs instantly, just by using Python decorators

  • Covalent handles the infrastructure — on-demand H100s, A100s & more, available now

  • Only pay for compute used — no reservations or minimum spend

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AI RESEARCH

Image source: University of Tokyo

The Rundown: Researchers from the University of Tokyo published a new study exploring a new approach to autonomous driving — leveraging robots that mimic the structure, flexibility, and senses of humans to control vehicles.

The details:

  • Musashi was designed to simulate the movements of a human, with artificial muscles and the ability to conform to a car seat and grip the wheel.

  • Musashi also has a suite of cameras, microphones, and touch sensors to provide human-like senses.

  • The robot’s control software enables it to learn from experience, react to changes, and recognize conditions like traffic lights and road hazards.

  • In tests, Musashi was able to operate the steering wheel, gas, and brake pedals, adapting movements based on feedback sensors.

Why it matters: While companies have already made significant strides in autonomous driving, the concept of a robot behind the wheel feels completely unique. With human-like physical capabilities, these robots could be an alternative to autonomous driving — and perhaps provide more peace of mind than an empty seat.

NEW TOOLS & JOBS

  • ✂️ Capcut - All-in-one video editor and graphic design tool driven by AI

  • 📊 Rows- AI-powered spreadsheets connected to your business data

  • ⚒️ Talnyx Flow - Deploy AI-assisted workflows with low-code

  • 🧑‍💼 Ren - AI leadership coach for scalable development

  • 🏥 Crosby Health - Streamline clinical appeals for healthcare providers

QUICK HITS

Mistral secured a new $640M Series B funding round, bringing the French AI startup’s valuation to $6B.

Apple released new details on its on-device AI models, which perform slightly above other small models like Phi-3-mini, Mistral-7b, and Gemma-7b in testing.

François Chollet and Mike Knoop launched ARC Prize 2024, a $1M coding competition challenging AI developers to create systems that solve new reasoning problems and advance towards AGI.

The U.S. government is reportedly drafting additional restrictions on China’s access to advanced AI chips, looking to target a powerful ‘GAA’ architecture currently being introduced by chipmakers.

Google announced its June Pixel update, introducing its Gemini Nano AI model for Pixel 8 and 8a users, enabling new features like enhanced transcription capabilities.

Brazil’s government is hiring OpenAI to leverage AI for analyzing and flagging lawsuits, aiming to reduce court-related costs and reduce that impact on the federal budget.

Flyhomes debuted its AI-powered home search portal, aiming to transform real estate searches with advanced data integration and conversational AI.

THAT’S A WRAP

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