Is Strawberry coming in 2 weeks?

Happy Thursday! The weekend is on the horizon, so let’s fry up some AI news and ride this crispy wave. 🌊

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IS OPENAI’S STRAWBERRY REALLY COMING IN 2 WEEKS? 🍓

Are we ever going to see this model? I hear it’s “berry” good. 🙃

What’s up? Rumors are circulating in the media that OpenAI is going to release its next-generation AI model, “Strawberry,” within the next two weeks.

What is Strawberry? The Strawberry model promises to outperform current AI systems, including GPT-4o and Claude, by tackling problems and tasks that have previously been beyond the reach of AI. According to The Information, Strawberry can solve complex math problems it has never encountered, develop sophisticated marketing strategies, and even crack intricate word puzzles like the New York Times’ “Connections.” Impressively, Strawberry is said to have scored over 90% on the MATH benchmark, significantly surpassing the 53% scored by GPT-4 and the 76.6% achieved by GPT-4o.

What’s the significance? In the past, OpenAI has been rumored to release a bunch of new models, such as GPT-5, which never got released, and SearchGPT, which dramatically failed to live up to the hype. So people should be skeptical of the praise being given to Strawberry—I’ll believe it when I see it.

ESPN DROPS THE BALL ON AI SPORTS SUMMARIES ⚽️

Q: Why are basketball players such messy eaters?

A: They’re always dribbling. 🏀

What’s going on? ESPN began publishing AI-generated recaps for women’s soccer games, with more sports to come in the future. However, this has led to some issues.

How does it work? ESPN’s technology utilizes Microsoft AI to craft each story. While human editors ensure quality and accuracy, the initiative aims to “augment” existing content. ESPN is transparent about using AI, with each recap credited to “ESPN Generative AI Services.”

What’s the issue? ESPN argues that AI summaries free up writers for deeper coverage, but concerns linger. Critics worry that AI could eventually replace human journalists, potentially diminishing the role of real-world experts in sports reporting as AI expands to other sports. Additionally, early recaps have drawn criticism for lacking nuance. One recent story, for example, overlooked the emotional significance of famous soccer player Alex Morgan’s final game.

RESEARCHERS USE AI TO CUT INDOOR FARMING COSTS BY 25% 🥕

Did you hear about the wooden tractor? It had wooden wheels, a wooden engine, wooden transmission, and wooden work! 🚜

What’s up? Cornell University researchers have found that incorporating AI into environmental control systems for indoor agriculture could reduce energy consumption by 25%.

How does this work? The study, led by postdoctoral fellow Benjamin Decardi-Nelson and Professor Fengqi You, demonstrates how AI can optimize lighting and climate systems in plant factories, significantly cutting energy use. For example, during the study, AI-driven systems dropped energy use from 9.5 kilowatt hours to 6.42 kilowatt hours per kilogram of lettuce grown indoors.

Why is this significant? Factors like climate change and increasing population have threatened the abilities of farmers to provide fresh food to people. Indoor farming, while less vulnerable to climate change, is energy-intensive. However, AI’s ability to regulate factors like ventilation and lighting might help ensure efficient crop growth while reducing resource consumption.

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