AI Model Idle Game: I made this for friends don't know how AI industry works (game.trae.academy)

A recent update in the AI landscape highlights several significant developments, including the unveiling of the Cerebras CS-4 chip, which boasts an unprecedented 4 trillion transistors, aiming to enhance computational efficiency in AI tasks. Additionally, the introduction of Tenstorrent's open-source chip designs represents a push towards democratizing AI hardware access, potentially enabling smaller players in the AI/ML field to leverage powerful technologies without the hefty investment associated with proprietary options. This is particularly important as the industry looks to expand beyond established giants, making AI more accessible. In terms of AI model advancements, DeepSeek V4 claims to deliver performance rivaling that of GPT-X at merely 1/100th of the cost—indicating a significant drop in model training expenses by a factor of ten within a year. This trend, along with OpenAI's ongoing exploration with GPT-X rumored to reach 100 trillion parameters, points to a future where advanced AI capabilities could be realized at a lower financial barrier, democratizing AI usage further. As companies like Hugging Face commit to large grants for open-source LLMs, the implications for collaboration and innovation in the AI/ML community are potentially transformative, fostering a competitive yet cooperative environment for growth.