What happened at OpenAI's DevDay?

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NVIDIA DROPS NEW MODEL TO COMPETE WITH CHATGPT 🦾

I was going to tell a joke about Nvidia, but I decided that it might be too “graphic.” 🤣

What’s new? Nvidia has launched NVLM 1.0, a powerful open-source AI model family designed to compete with proprietary systems like OpenAI’s GPT-4.

Want more details? Leading this release is the NVLM-D-72B model, a 72-billion parameter giant capable of exceptional performance across both vision and language tasks. The NVLM-D-72B model has demonstrated competitive results against industry titans in benchmarks for visual interpretation, text analysis, and problem-solving.

Why is this important? By making NVLM 1.0’s weights publicly available, Nvidia offers researchers and developers of all sizes unprecedented access to cutting-edge AI. This open-source approach challenges the industry’s dominant trend of keeping advanced models proprietary. This shift could democratize AI development, enabling smaller organizations and independent researchers to innovate with high-end tools traditionally reserved for tech giants. As a result, this approach may signal a pivotal moment in AI’s future trajectory.

OPENAI RELEASES NEW TOOLS FOR DEVELOPERS 👩‍💻

OpenAI had a big opportunity to make headlines, but it took a subtle approach instead … for once. 😳

What’s new? OpenAI released four new tools at its annual DevDay.

What are the new tools?

• Prompt Catching: Get automatic discounts on prompts and inputs that you recently used.

• Model Distillation: Fine-tune a cost-efficient model (like GPT-4o mini) with the outputs of a large frontier model (like o1).

• Vision Fine-Tuning: Fine-tune GPT-4o with images and text to improve vision capabilities.

• Realtime API: Build fast speech-to-speech experiences into various applications.

Why is this important? OpenAI took a different approach to this year’s DevDay. Last year, OpenAI announced GPTs and the GPT Store among other features that grabbed the attention of the general public. This year, however, there was a more narrow focus on tools aimed specifically at developers and subtle improvements to existing models. This comes as a bit of a surprise for OpenAI, as it typically focuses on catching headlines with shiny new products. These releases additionally underscore how AI development has leveled out since the release of ChatGPT almost two years ago, reducing to minor improvements and raising questions about whether AI is overhyped.

Y COMBINATOR STIRS AI STARTUP DRAMA 😳

Everyone loves a little bit of AI drama, right? 😆

What’s up? Y Combinator (YC), a platform renowned for supporting tech startups, is facing criticism for supporting an AI startup that openly copied another.

What’s the story? A company called PearAI recently launched an AI coding editor. PearAI’s founder, Duke Pan, admitted that the product was a clone of another AI editor, Continue, which operates under the Apache open-source license. However, PearAl made a mistake by initially applying its own “Pear Enterprise License” to the project, which Pan confessed had been written by ChatGPT. This violated the open-source software license of Apache. After backlash from the public, Pan apologized, stating PearAI would adopt the original Apache license. While some congratulated the launch (despite some licensing hiccups), others condemned it for being a near-identical copy of Continue. In particular, YC CEO Garry Tan defended the project. Now, critics are slamming YC for accepting a startup that copied another, as this seems to go against the whole spirit of startups.

Why is this important? AI startups are undoubtedly crucial for development, so protecting the rights of these developers and encouraging ethical competitive practices is necessary to preserve “small guy AI.” Without this, big tech will rule the world.

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