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Vinex.base.eth
@vinex
The new Google Gemini 2.5 Pro model is really impressive, and the next great unlock for agentic coding. Without the paid API having been launched we're back in the era of having access to the best coding model with a chat interface, but can't really take full advantage and not integrated the way sonnet 3.7 is supported everywhere. But in terms of capabilities to me it feels like a jump similar to what sonnet 3.5 had originally given us compared to prior models for coding. It's interesting seeing the large company strategies develop and navigate the open source competitiveness they're facing as well. OpenAI seems to be going more for a platform, and they seem to understand that if they don't embrace open source standards like MCP the way they did on their agents SDK (openai.github.io/openai-agent… ) they won't succeed, despite their competition developing it. I like this approach, and as a result their agents sdk and realtime APIs are things I see a lot of value in using for my work.
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Vinex.base.eth
@vinex
Anthropic has also been able to position itself well with devs, and carving out some advantages with their Claude Code CLI doing things like very effective sub-task delegation, and solid frequent updates happening there. Google is where I think it gets more interesting. It feels like in the end Google will be able to leverage huge infra with TPUs and everything they have to always have the best models. Generally feels like they have less competitive risk from open source because they can use that to make better models more easily than others, and aren't necessarily having to establish a large user base with devs through API calls, as much as their own path of integrating their existing products/services and devices to their models capabilities.
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