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Here's the latest tech news from the last 24 hours:

💰 OpenAI offers $10M pay packages to poach Google researchers
😵‍💫 Apple gets 36% of Google search revenue from Safari
🚗 Uber is testing a service that lets you hire drivers for chores
🌦️ AI outperforms conventional weather forecasting methods for first time
🎵 YouTube is going to start cracking down on AI clones of musicians

💰 OpenAI offers $10M pay packages to poach Google researchersLINK

OpenAI is actively recruiting Google's senior AI researchers with offers of annual compensation between $5 million to $10 million, primarily in stock options.

The company's potential share value could significantly increase as OpenAI is expected to be valued between $80 billion to $90 billion, with current employees standing to benefit from the surge.

Despite the tech industry's broader trend of layoffs, AI-focused companies like OpenAI and Anthropic are investing heavily in talent, contrasting with cost-cutting measures elsewhere.

😵‍💫 Apple gets 36% of Google search revenue from SafariLINK

Google pays Apple 36% of its search ad revenue from Safari as part of their default search agreement, according to an Alphabet witness in court.

The exact percentage of revenue shared was not publicly known before and highlights the significance of the deal for both Google and Apple.

The disclosure emerged unexpectedly during a legal battle, emphasizing the critical nature of the Google-Apple deal to ongoing antitrust proceedings.

🚗 Uber is testing a service that lets you hire drivers for choresLINK

Uber is launching Uber Tasks, a new service for hiring drivers to run errands, competing with TaskRabbit and Angi.

During its initial phase, Uber Tasks will let users hire gig workers for a variety of chores, with upfront earning estimates provided in the app.

The service will begin in Fort Myers, Florida, and Edmonton, Alberta, as Uber continues to explore new ways for drivers to earn money.

🌦️ AI outperforms conventional weather forecasting methods for first timeLINK

Artificial intelligence, specifically the GraphCast model by Google DeepMind, has proven to be more accurate than current leading weather forecasting methods for predictions up to 10 days in advance.

GraphCast utilizes a machine-learning architecture known as graph neural network and operates at a significantly lower cost and faster speed compared to traditional weather prediction models.

While showing promise, AI weather forecasting models like GraphCast still face challenges in predicting extreme weather events and will potentially be integrated with conventional methods to enhance accuracy.

🎵 YouTube is going to start cracking down on AI clones of musiciansLINK

YouTube's new guidelines allow record labels to request the removal of AI-generated songs that replicate an artist's voice.

A tool will be provided for music companies to flag imitation voice content, with plans for a wider rollout after initial trials.

The platform updates its privacy complaint process to include the option to remove deepfake content, but not all AI-generated material will be automatically taken down.

Other news you might like

Most businesses have AI strategies but lack the readiness in infrastructure, policies, talent, and data to actually implement them.LINK

Google and Meta owe news publishers $14 billion annually for ad revenue from news content, says Columbia University study.LINK

AI for drug discovery offers up unexpected results.LINK

Amazon partners with Snapchat, enabling U.S. users to shop and check out directly within the social media app.LINK

Exxon plans to start a lithium extraction project in Arkansas to supply batteries for electric vehicles, aiming for production by 2027.LINK

China's emissions are projected to decline in 2024 as a surge in renewable energy capacity surpasses electricity demand growth.LINK

Security researchers are warning that bitcoin wallets created pre-2016 have a flaw potentially risking millions, urging users to transfer funds.LINK

Bumble’s founder hopes to use AI to prevent toxic relationships before they happen.LINK

New study finds bigger datasets might not always be better for AI models.LINK

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