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If you’re here, it means you’re probably hungry for the latest in AI. Good news for you: it’s time to eat! 🍽️
🚨 Don’t forget: A new edition of Inside the Kitchen drops in less than two hours. I’m breaking down a major concern: how do we know who to trust when AI can make everyone seem like an expert?
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This link leads to one of the most interesting things I’ve seen in AI recently.
🛠️ NEW AI TOOLS 🛠️
What happened? Starbucks has ended an AI-powered inventory system after less than a year because the system was not reliably counting products in stores.
Want the details? The tool was meant to help workers track milk, syrups, and other drink ingredients more accurately so stores could avoid running out of popular items. It used AI image recognition technology to identify and count products on shelves, giving Starbucks a faster way to monitor inventory. But the system often made mistakes. It sometimes confused similar items, missed products entirely, and failed in real store conditions. Starbucks says it will now return to a more standard counting process while it works on improving daily store replenishment and its broader supply chain.
Why does this matter? This shows that AI tools do not always work well in messy, real-world settings, even when they sound promising. For Starbucks, inventory mistakes can lead to shortages, frustrated customers, and lost sales. More broadly, the story is a reminder that businesses still need reliable execution, not just flashy technology.
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What’s new? OpenAI has introduced three new voice models in its API.
What do they do?
GPT-Realtime-2 is designed for voice apps that can listen, understand harder requests, keep track of context, use tools, and respond naturally while the conversation is still happening live.
GPT-Realtime-Translate can take speech in more than 70 languages and translate it into 13 output languages fast enough to keep up with the speaker.
GPT-Realtime-Whisper turns spoken words into text as someone talks, which makes live captions, notes, and voice-based workflows possible.
Why is this significant? These tools will help push voice AI beyond simple question-and-answer systems. With these models, developers can more easily build apps that actually help people in real time, whether that means translating a conversation, handling a request hands-free, translating, or transcribing speech instantly.
⭐️ Most people stay at the surface … but the future rewards those who dig deeper.
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✍️ Meet the Author:
Hi — I’m Hunter, a PhD candidate whose work has appeared in major academic journals and popular tech outlets. I founded FryAI to make staying ahead of AI clear, accessible, and fun.
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