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Good morning. As Pony.ai and Toyota join forces to unleash driverless robotaxis, they might want to consider a trial run in New York's Union Square, where the only thing more unpredictable than autonomous vehicles is a Twitch streamer's ability to incite a riot. It's the perfect chaos for testing whether AI can outmaneuver human unpredictability.

In today’s newsletter:

• 🚗 A Glimpse into the Future: Autonomous Vehicles Take the Streets

• 🗽 Connecticut's AI Adventure: Innovation, Bias, and Lessons Learned

• 🌍 IBM, NASA, Hugging Face Unveil Open-Source Geospatial AI Model

• 📱 Apple's $22.6 Billion Research Spend: Generative AI at the Forefront

• 💻 AI Chip Pioneer Tenstorrent Secures $100M from Hyundai, Samsung

• 🎶 Meta AI Unleashes AudioCraft: A Revolutionary Library for Audio Generation

 NEWS

Steering Towards the Future: Pony.ai and Toyota's Ride into the Driverless Era

A Future with Autonomous Vehicles

Imagine a bustling city where steering wheels are a thing of the past, and streets are filled with sleek, driverless vehicles, effortlessly gliding to their destinations. With one tap on your phone, a safe and efficient car arrives at your location, ready to whisk you away at an affordable price… not the 3x surcharge pricing you see today which makes your 15-minute Uber cost $40. This is no longer confined to the realms of science fiction; it's on the brink of becoming our reality.

A significant step towards this future has been through a partnership between Pony.ai, a leading global autonomous driving company, and automotive giant Toyota.

The Partnership: A Leap Towards Mass Production of Robotaxis

Pony AI and Toyota have announced a joint venture (JV) to advance the mass production and large-scale deployment of fully driverless robotaxis. The collaboration will see an investment of more than USD 139 million, with the establishment of the JV in 2023. Toyota will provide electric vehicles equipped with systems suitable for L4 autonomous driving, while Pony.ai will integrate its advanced autonomous driving technology. Together, they aim to deliver safe, convenient, and scalable robotaxi services, marking a significant milestone in the commercialization of autonomous mobility.

Here’s a video back from 2021 when the Pony Toyota vehicle was just being teased to the public 👇

Challenges and Triumphs: A Closer Look at Pony.ai

The road to autonomous driving is not without its bumps… Pony has faced challenges, including a permit suspension for driverless-vehicle testing in California and legal battles with former staffers over alleged trade secret theft. The company also consolidated its R&D teams and recalibrated its autonomous trucking ambitions. Despite these hurdles, Pony has raised over a billion dollars since its founding in 2016 and continues to be a prominent player in the autonomous vehicle industry.

Risks and Rewards: Toyota's Strategic Investment

The partnership with Pony presents both potential risks and rewards for Toyota. The significant investment and collaboration with a company that has faced regulatory and legal challenges could pose risks in terms of reputation and financial outcomes, however, by aligning with a pioneer in autonomous driving technology, Toyota positions itself at the forefront of an industry poised for exponential growth. The JV may not only accelerate the realization of a driverless future but also solidify Toyota's role as a key innovator in the rapidly evolving landscape of transportation.

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NEWS

Connecticut's AI Adventure: A Tale of Innovation, Bias, and Lessons Learned

The Nutmeg State's Tech Embrace:

Connecticut's diving into the AI pool, using algorithms to enhance everything from school assignments to bail settings, but a study by Yale Law School has sounded the alarm. Lack of oversight? Check. Flawed algorithms? Check. Urgent questions about transparency, accountability, and ethics? Triple check.

The Bias Boomerang:

Connecticut's algorithms aren't just crunching numbers; they're reflecting societal prejudices. If you train an algorithm on biased data, you might just create a bias boomerang, where that low-quality data comes back to haunt you. If Connecticut's government algorithms reflect racial or socioeconomic biases, they could turn into tools of injustice, hitting marginalized communities the hardest. It's a domino effect but with real-world consequences.

Bias-Busting Lessons:

While Connecticut seems to have started off on the wrong foot, it’s not all doom and gloom as they’re now taking steps to ensure that training data is free from historical biases. The state is also inventorying and reviewing its AI systems, focusing on product liability and impact assessments. Add in collaboration with AI experts, ethicists, and community reps, and you've got a recipe for mitigating the bias boomerang.

Last week, we had our very first Real or AI poll, and boy was it close! The real image was …drumroll… Image 1 as seen below, but nearly half of you all got it wrong! Is this a sign AI is getting too good? If you want to try again or feel like you can add to your winning streak, play again below.

The results of today’s poll will be revealed on Wednesday.

🌍 IBM, NASA, Hugging Face Unveil Largest Open-Source Geospatial AI Model

📱Apple's $22.6 Billion Research Spend: Tim Cook Reveals Generative AI Focus

💻 AI Chip Pioneer Tenstorrent Secures $100M from Hyundai, Samsun

🎶 Meta AI Unleashes AudioCraft: A Revolutionary PyTorch Library for Audio Generation

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