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episode thirty-one

• 🤖 Haggling with Bots: When AI Gets the Best Deals

• 🏎️ Fast & Frictionless: Robot Rally Cars Learn the Art of Racing

• 🤔 The AI Wars: Musk's Quest for Truth

Take a look at the latest in AI-generated video.

🤖 Haggling with Bots: When AI Gets the Best Deals

In an era where AI is revolutionizing the world, Walmart is making headlines by utilizing a chatbot from Pactum AI to negotiate supplier deals, proving that even in the world of haggling, AI is leaving its mark.

• Walmart's AI chatbot negotiates deals on store essentials, resulting in an average of 3% savings on contracts.

• A staggering 75% of suppliers prefer dealing with the AI over their human counterparts.

• Walmart has expanded the AI use to the US, Chile, and South Africa, after piloting it in Canada.

The implications of AI taking the lead in negotiations might be worrisome for some, fearing job losses in a challenging economy. However, this AI initiative isn't about replacing humans, but rather lightening the load of busy procurement teams. So, while AI might be an efficient bargain hunter, it's not quite ready to take over the negotiation tables completely. As for the suppliers who prefer dealing with the AI, perhaps they appreciate the lack of small talk and the absence of the notorious human ego.

🏎️ Fast & Frictionless: Robot Rally Cars Learn the Art of Racing

Intro: The world of robotics is always chasing ways to make robots learn faster and more efficiently. Researchers at UC Berkeley have recently discovered that robots can learn the art of racing like a seasoned human, all by leveraging a "foundation model" and some clever autonomous training. So, buckle up and get ready to witness the next wave of robot racing mastery!

• Reinforcement learning helps robots learn through trial and error, but it can be time-consuming.

• UC Berkeley researchers used a foundation model pre-trained on robots driving themselves around to speed up learning.

• The small-scale robotic rally car learned to race around indoor and outdoor tracks, matching human performance after just 20 minutes of practice.

• The robot demonstrated emergent behaviors such as understanding racing lines, braking, and adapting to different ground characteristics.

• The reset feature allows the robot to learn autonomously, overcoming failures without human intervention.

Conclusion: In just 20 minutes, these robots prove that they can learn the ins and outs of racing like a pro, all thanks to UC Berkeley's innovative research. As we marvel at these high-speed robotic rally cars, it's worth noting that there's a long road ahead to implement these techniques safely on larger platforms. But hey, at least we won't have to worry about any furious robot drivers giving us the finger while they zip past us on the racetrack.

🤔 The AI Wars: Musk's Quest for Truth

Picture this: the stage is set for an AI showdown, with Elon Musk at the heart of it all. After parting ways with OpenAI, Musk now embarks on his own generative AI project, seeking the ultimate chatbot that reveals the nature of the universe. Talk about a plot twist!

• OpenAI is cut off Twitter’s data: Musk reportedly felt the $2 million/year licensing fee wasn't enough.

• Musk criticized the chatbot for bias issues and its capacity for lying.

• Enter X.AI, Musk's own AI project, potentially named "TruthGPT."

• Top AI talent on board: Musk recruits top researchers from DeepMind and engages in talks with AI expert Jimmy Ba.

In the thrilling finale, Musk stands poised to revolutionize the AI landscape with his latest brainchild, X.AI. While skeptics might say his pursuit of a "maximum truth-seeking AI" is nothing but a pipe dream, one thing's for certain: in the ever-evolving world of AI, truth is stranger than fiction. Remember, my friends, when it comes to AI, the sky isn't the limit; it's only the beginning.

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