A coalition of tech investors and AI companies is launching a US political action network called "Leading the Future" to influence AI legislation. The initiative is backed by venture capital firm Andreessen Horowitz, OpenAI president Greg Brockman and his wife Anna Brockman, as well as Perplexity and investor Ron Conway. The network plans to spend over $100 million on campaign donations and digital outreach to support candidates seen as tech-friendly and oppose those pushing for stricter AI regulations. Organizers Josh Vlasto and Zac Moffatt say the goal isn’t deregulation, but to promote "sensible guardrails." Initially, efforts will focus on four key states: New York, California, Illinois, and Ohio. Modeled after the crypto-focused Fairshake initiative, the network aims to work across party lines. Its main objective is to prevent what the industry sees as a fragmented patchwork of AI laws across the US.
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Open-weight reasoning models often use far more tokens than closed models, making them less efficient per query, according to Nous Research. Models like DeepSeek and Qwen use 1.5 to 4 times more tokens than OpenAI and Grok-4—and up to 10 times more for simple knowledge tasks. Mistral's Magistral models stand out for especially high token use. 
Average tokens used per task by different AI models. | Image: Nous ResearchIn contrast, OpenAI's gpt-oss-120b, with very short reasoning paths, shows that open models can be efficient, especially for math problems. Token usage depends heavily on the type of task. Full details and charts are available at Nous Research.
