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- The real reason Musk dropped his OpenAI lawsuit...
The real reason Musk dropped his OpenAI lawsuit...

Can you smell that? … That’s the smell of delicious AI news being taken out of the fryer. Let’s enjoy! 😋
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Today’s Menu
Appetizer: The real reason Musk dropped his OpenAI lawsuit 👀
Entrée: Mistral raises $645 million 💰
Dessert: Air Force gets its own version of ChatGPT 🛩️
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THE REAL REASON MUSK DROPPED HIS OPENAI LAWSUIT 👀
Elon Musk is mad. 😡
What happened? One day before a crucial court hearing on the issue, Elon Musk dropped his lawsuit against OpenAI.
What was the lawsuit? Musk co-founded OpenAI alongside Greg Brockman and Sam Altman in 2015 with the stated mission to keep AI development open and non-profit. Musk claims that since he left the board in 2017, OpenAI began to focus on profits, particularly through its partnership with Microsoft, ultimately violating this pledge.
Why did Musk drop the case? The real reason Musk dropped this case was because he knew he would lose. This realization came after OpenAI leaked old emails between Musk and other OpenAI leaders, including Brockman and Altman, showing that he was avidly pushing for a for-profit approach and a merger with Tesla. In the leaked emails, Musk stated, “A for-profit pivot might create a more sustainable revenue stream over time and would, with the current team, likely bring in a lot of investment,” and, “The most promising option I can think of would be for OpenAI to attach to Tesla as its cash cow.” After these emails were released to the public, Musk knew his case had been broken.
What now? This dropped lawsuit is not the end of the beef between OpenAI and Musk. If anything, it has ignited the flame even more. After Apple’s recent announcement of iOS 18 features powered by ChatGPT, Musk tweeted, “If Apple integrates OpenAI at the OS level, then Apple devices will be banned at my companies. That is an unacceptable security violation … And visitors will have to check their Apple devices at the door, where they will be stored in a Faraday cage.” Let the war continue.
MISTRAL RAISES $645 MILLION 💰
Q: Why did the clown donate half his money to charity?
A: It was a nice jester. 🤡
What’s up? Mistral AI, the French tech startup known for its sassy chatbot, has raised a staggering $645 million in its latest funding round, now valuing the company at $6.2 billion.
What does this mean? Despite being just over a year old, Mistral has rapidly positioned itself as a formidable contender in the AI arena, aiming to rival OpenAI and become Europe’s leading AI powerhouse. The startup is focused on developing LLMs which are unfiltered and do not comply with the typical diplomatic and non-opinionated responses of traditional chatbots (see video above). This approach is refreshing for many and is a big reason it has gained significant attention.
AIR FORCE GETS ITS OWN VERSION OF CHATGPT 🛩️
Fact: Only ~4% of all Air Force personnel are pilots. 🛫
What’s new? The Department of the Air Force has introduced the Non-classified Internet Protocol Generative Pre-training Transformer (NIPRGPT), a ChatGPT-like tool designed to assist airmen, guardians, and civilian employees with tasks such as coding, correspondence, and content summarization.
How does it work? Available on unclassified networks, NIPRGPT is part of the Dark Saber software platform, allowing personnel to experiment, develop, and deploy their own applications. Developed by the Air Force Research Laboratory using publicly available AI models, NIPRGPT serves as a testing ground to understand generative AI’s practical applications, identify issues, and gather feedback. This initiative helps inform future policy, acquisition, and investment decisions without committing to a single model or vendor.
What’s the significance? This new model reflects the effort of US Military organizations to look for ways to leverage AI for various tasks—a necessary endeavor in the future of warfare. Chandra Donelson, the Air Force’s acting chief data and AI officer, said, “We aim to partner with the best models from government, industry and academia to identify which models perform better on our specific tasks, domains, as well as use cases to meet the needs of tomorrow’s warfighter.”
“There are multiple modernization efforts going on right now across the federal government and within the DAF to get tools in the hands of the workforce. This tool is another one of those efforts.”
TASTE-TEST THURSDAY 🍽️
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