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This tweet discusses rising hardware prices, including used RTX 3090s, and argues that frontier intelligence is not limited to data centers, making a case for being bullish on local/open-source AI.
aiDotEngineer announces that the year of frontier intelligence on the desktop has arrived, referencing a presentation from the Local AI Summit.
Kimi introduces Kimi K3, a 2.8 trillion parameter open model with native vision and 1M context, built on Kimi Delta Attention and Attention Residuals. It achieves frontier-level performance in coding and reasoning, with full weights to be released by July 2026.
The post discusses the dynamic between frontier AI models and specialized tuned models, emphasizing that both will continue to grow due to the applied AI layer that allows enterprises to evaluate and mix models for their specific use cases.
The author ranks Nemotron 3 Ultra among the top five open-source AI models, describing it as bringing frontier intelligence to consumers.
Jensen Huang hints at more Nemotron model releases, highlighting open-source frontier intelligence and cost efficiency enabled by NVFP4 training.
Google DeepMind announces Gemini 3.5, a new family of models combining frontier intelligence with real-world action, starting with 3.5 Flash, their strongest model yet for agents and coding.
Google announces Gemini 3.5, a new family of AI models focused on agentic workflows and coding, starting with 3.5 Flash which delivers frontier performance at high speed.
Anthropic announces Claude Opus 5, a powerful and cost-effective AI model that approaches the intelligence of Claude Fable 5 at half the price, achieving state-of-the-art results on coding and knowledge work benchmarks.