📱💡 Apple’s Open-Source AI Breakthrough Powers Up iPhones & Macs: Meet OpenELM! 🍎💪

🚨🤖 Devin Debacle - AI’s software engineering dream hits reality check! 💻🔍

In Today's Blog:

• 🍏 Apple’s AI Leap: OpenELM Unveiled! 🚀

• 💼 Nvidia’s Strategic Move: Acquiring AI Pioneer Run:ai for $700M! 🤖

• 🔥 Snowflake Heats Up the AI Race with Arctic LLM 💻

• 💔 AI Hype Deflated: Devin AI’s Software Engineering Skills Fail Real-World Test! 👨‍💻

🍏 Apple’s AI Leap: OpenELM Unveiled! 🚀

Apple has recently introduced OpenELM, a family of small, open-source language models optimized for on-device tasks, such as those on iPhones and Macs. OpenELM stands out for its efficient parameter allocation within each layer of the transformer model, enhancing accuracy while requiring less training data.

• 🍏 Apple introduces OpenELM, an open-source language model family optimized for on-device tasks like those on iPhones and Macs.
• 🤖 OpenELM is designed to be efficient, requiring less training data while offering performance comparable to other language models.
• 🔍 Diverging from past practices, Apple’s release includes a complete framework for training and evaluation on public datasets.
• 📱 This move hints at Apple’s strategy for on-device AI, potentially featuring in the upcoming iOS 18 release at WWDC in June.

      Read about it here: Link

💼 Nvidia’s Strategic Move: Acquiring AI Pioneer Run:ai for $700M! 🤖

Nvidia, a leading supplier of AI chips, has announced its plan to acquire the Israeli AI startup Run:ai for $700 million. Run:ai specializes in optimizing AI application efficiency and has partnerships with major tech companies, including Microsoft and Amazon.

• 🏢 Nvidia, headquartered in Silicon Valley, is set to acquire Israeli AI startup Run:ai.
• 💰 The deal is reported to be worth $700 million, with Run:ai specializing in efficient AI application deployment.
• 🤝 Run:ai has partnerships with tech giants like Microsoft and Amazon and has collaborated with Nvidia since 2020.
• 📈 This acquisition marks Nvidia’s expanding presence in Israel, adding to its significant role in the AI chip market

     Read more about it: Link

🔥 Snowflake Heats Up the AI Race with Arctic LLM 💻

Snowflake, a cloud computing company, has launched Arctic LLM, an “enterprise-grade” generative AI model under the Apache 2.0 license. Arctic LLM is designed for enterprise tasks such as generating database code and is free for both research and commercial use.

• 🏢 Snowflake introduces Arctic LLM, an enterprise-grade generative AI model optimized for business applications like database code generation.
• 🔧 Arctic LLM outperforms competitors in coding and SQL generation, claiming better results than DBRX and Llama 2 70B models.
• 💻 The development of Arctic LLM involved 1,000 GPUs and $2 million over three months.
• 📊 While Arctic LLM shows leading performance on the MMLU language understanding benchmark, the results should be viewed critically due to potential memorization.

     Read about it here: Link

💔 AI Hype Deflated: Devin AI’s Software Engineering Skills Fail Real-World Test! 👨‍💻

The controversy surrounding Cognition Labs’ AI system, Devin AI, which was initially claimed to be a groundbreaking software engineer. However, an investigation by ‘Internet of Bugs’ revealed that Devin AI struggled with basic tasks on Upwork, contradicting its advertised capabilities.

• 🤖 The claims made by Cognition Labs about their AI, Devin AI, being a pioneering software engineer, which have now been questioned.
• 💻 ‘Internet of Bugs’ released a video showing Devin AI struggling with basic tasks on Upwork, contradicting its advertised capabilities.
• 🚨 This incident prompts a reevaluation of AI replacing human roles that require complex problem-solving and creativity.
• 🔍 The ‘Devin debacle’ highlights the need for transparency and realistic expectations about AI’s abilities in the tech industry.

     Read about it here: Link

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🌊🌊 FlowMap: dense depth video

MIT (+CSAIL) unveils FlowMap, a novel E2E differentiable method for precise camera poses, intrinsics, and perframe dense depth of videos.