Tokkyu (@tokkyusan) stayed true to her own signature style even as she gained more and more fans!🌟 We asked Tokkyu about how she uses effective personal branding to reach audiences as a creator!💕 Read the interview today!🤗

What kind of mindset does Tokkyu (@tokkyusan) encourage her students to have?✏️ Her drawing courses for beginners are well-loved by many, and it’s no wonder why!💡 Read the interview today!🤗

📣Artist's Spotlight Interview Series🎤 Featuring: Tokkyu (@tokkyusan)🎉 Read our interview with this illustrator whose attention to detail and jewel-like, shimmering color choices create captivating works of art!🤗

Street Fighter 6 producer Shuhei Matsumoto revealed how dire things were for Capcom’s flagship fighting game franchise during the Street Fighter V era and explained how he and director Takayuki Nakayama worked together to save the series from death.

This new Nvidia paper is huge for model routing and the future of inference: re-using the KV cache across different LLMs. One of the greatest challenge in model routing during long-horizon agent settings is that the cache does not transfer across different models. As a result, naively switching models without KV-cache-awareness will result in wasting more money. Conversely, transferring the KV cache across models significantly expands the total amount of savings that can be achieved. This paper is a great step in that direction. Congrats to Taekyung Heo, Rasoul Shafipour, Ritchie Zhao, Maximilian Golub, @MMKamani7, @Ritika_Borkar, Makesh Tarun Chandran, Pantea Zardoshti, and Bita Darvish Rouhani. Two questions: 1. Do you plan to investigate cross-family transfer? I saw this in the future work section but curious to learn more about your intuitions on the opportunities and challenges here. 2. What was the reason for focusing mostly on small to large model transfers and not large to small?