TLDR:

• Investors from various AI VC funds, including Atom Capital, shared insights on the AI industry, venture capital market, and AGI investments in China.
• AI entrepreneurs face challenges like lack of clear problem-solving focus, homogenization of products, and underutilization of AI internally.

Full Article:

Atom Capital, a VC fund focusing on AI investments in both the US and China, shared valuable insights on the AI industry through interviews conducted by Geek Park. Key points discussed included:

Melissa Yang emphasized the importance of entrepreneurs understanding the problems they aim to solve with AI and the need for fresh perspectives in the AI era. Traits like rapid learning, strategic capability, and innovation were highlighted as crucial for succeeding in the era of Large Language Models (LLMs).

Key issues pondered in 2024 included the limits and boundaries of AI, the pace of AI implementation, and the emergence of composite AI systems. The importance of moving from LLMs to multimodal AI systems was also emphasized.

Atom Capital’s investment thesis focused on early-stage startups with a clear understanding of LLMs and the problems they intend to solve. The fund’s 2024 investment focuses included multimodal AI, open-source opportunities, and Agent platforms.

Atom Capital highlighted differences in AI entrepreneurship and investment between the US and China, noting differences in VC preferences, support for early-stage startups, and the pace of AI investments. The fund also discussed the impact of LLMs on its establishment and investment criteria.