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In the rapidly changing world of AI, competition is fierce. Nowhere is this more evident than in the fight over advanced inference models. In recent days, three new AI models have been released from Chinese developers: Deepseek R1 (HighFlyer Capital Management), Marco-1 (Alibaba), OpenMMLab hybrid model — entered the competition, challenging OpenAI’s o1 preview in terms of performance and accessibility.
These releases highlight how quickly open source innovation is catching up with proprietary giants like OpenAI. OpenAI’s o1 preview model set a new benchmark for complex inference tasks when it was released in mid-September. With OpenAI expected to announce its next release as early as next week, the pressure is mounting to prove its dominance is undiminished.
This race has a broader meaning beyond the model’s performance. OpenAI’s soaring $157 billion valuation and ambitious schedule for artificial general intelligence (AGI) put intense pressure on the company’s management to maintain momentum, especially as competitors close the gap faster than ever is giving. Last year, OpenAI’s GPT-4 led by five months until Anthropic’s Claude 2 debuted. This year, the gap between OpenAI and o1-preview has narrowed to just two and a half months, highlighting the rapid pace of innovation across the industry.
Meanwhile, Anthropic upped the ante by releasing Model Context Protocol (MCP), which simplifies AI data integration and paves the way for next-generation applications. This open source effort is also indicative of how other players in the space are working, including open source-focused labs like AI2. OLMo2 modeland Nous Research’s Noose Forge Our anti-OpenAI approach expands access to advanced AI capabilities.
For a detailed breakdown of these Chinese models, what they offer, how OpenAI and Google are likely to respond in the coming weeks, MCP, and OLMo 2, check out the full discussion in the video below . Don’t miss this analysis from AI developer Sam Witteveen. He shared exclusive insight with me on why all these developments are important. Surprisingly, he was particularly bullish about MCP and its benefits, suggesting that it could help us create our own personal agents.