Elon Musk drops lawsuit against OpenAI and Sam Altman

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Elon Musk drops lawsuit against OpenAI and Sam Altman

Elon Musk has withdrawn his lawsuit against OpenAI and CEO Sam Altman, concluding a dispute over the company’s shift from its original mission of AI research for humanity.

Why it matters: The lawsuit’s withdrawal ends a significant legal battle between Musk and the AI company he co-founded in 2015 but left due to control disagreements.

Recent events:

• Withdrawal filing: Musk's attorneys did not specify reasons for dropping the case in the filing made on Tuesday.

• Court hearing: The decision came a day before a scheduled hearing where a judge was set to consider OpenAI's motion to dismiss the lawsuit.

Background: The legal battle revealed emails showing Musk initially agreed with OpenAI’s plans to raise funds and move away from open-source products, highlighting internal conflicts over the company’s direction.

• Lawsuit withdrawn: Musk ends his legal action against OpenAI and Altman.

• No explanation provided: Reasons for the withdrawal were not disclosed.

• Context: The withdrawal follows Musk's public criticism of an Apple-OpenAI partnership.

This move resolves the public legal dispute but leaves underlying tensions in the AI community.

The AI upgrade cycle is here: is Apple Intelligence worth it?

Apple's latest AI features, dubbed "Apple Intelligence," are set to transform iOS 18. These tools will manage notifications, rewrite text, and perform tasks based on your preferences, significantly enhancing your iPhone experience. However, you'll need one of Apple's newest and most expensive iPhone models to access them.

The new tech gold rush: The tech industry is pushing AI as the next big upgrade. Apple Intelligence will only be available on the iPhone 15 Pro ($999) and iPhone 15 Pro Max ($1,199). iPad and Mac users with M1 chips or newer can also use these features.

The hardware challenge: AI processing demands high-performance hardware. Apple isn't alone in this; Microsoft's new Copilot Plus PCs and Google's initial restriction of Gemini Nano to the Pixel 8 Pro are similar. However, the necessity of these hardware restrictions is debated, as advanced AI often uses cloud processing. Apple hasn't clarified why older iPhones can't use Apple Intelligence.

User impact: As an iPhone 12 Mini fan, this upgrade push is disappointing. The Mini has been perfect despite its battery life. While iOS 18 will still be available on older models like the iPhone XR and XS, newer AI features require the latest hardware.

The future: Apple, Microsoft, and Google will continue integrating AI features that need advanced hardware, hoping to drive upgrades. While Apple Intelligence offers exciting capabilities, whether to upgrade depends on individual needs and device compatibility. As AI becomes more embedded in our devices, the pressure to stay current will grow.

Can ChatGPT outthink a 4-year-old?

AI vs. preschoolers: Laura Schulz, an MIT cognitive psychologist, tested ChatGPT-4 on tasks that young children easily master. The results were startling: despite its conversational prowess, the AI failed basic reasoning tasks that even 4-year-olds could solve. “We have failures of things 4- and 5-year-olds can do,” Schulz noted.

The hype vs. reality: AI chatbots like ChatGPT-4 burst onto the scene in late 2022, sparking debates about their potential. DARPA is funding research to build AI with "machine common sense" akin to an 18-month-old child, aiming to make AI tools more reliable and accountable.

Scaling up vs. growing up: While chatbots learn from vast amounts of text data, children learn from relatively little input and play. This learning gap was evident in experiments where chatbots failed tasks requiring social and moral understanding, causal reasoning, and cooperative decision-making.

The role of play in learning: Researchers suggest AI could benefit from a child-like approach to learning, emphasizing exploration and play. Children understand physics and social interactions through active engagement, something current AI lacks.

The path forward: Experts argue that understanding and creating intelligence involves recognizing the structured learning processes of children. Integrating these human-like learning abilities into AI could lead to more profound advancements.

While ChatGPT-4 excels in many areas, it struggles with basic reasoning and social understanding. To create truly intelligent systems, researchers must consider the rich, structured learning processes of human children.