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JPMorgan is betting $750 billion that America's housing crisis is fixable | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
JPMorgan Chase announced Monday it intends to
deploy more than $750 billion through 2035 to increase housing supply and support homeownership across the United States. That figure represents close to a 40% rise in housing-related capital relative to what the bank deployed over the previous ten years, the company said. Under the plan, the bank aims to fund 1 million affordable housing units and guide 500,000 customers through the homebuying process, with 200,000 of those being first-time buyers. To hit those targets, the bank intends to
grow its mortgage lending volume by over 40% and bring on 850 additional home lending advisors. The firm also said it will introduce new digital tools and explore loan products for modular and manufactured homes. The initiative is part of JPMorgan Chase's American Dream Initiative, a multi-year effort to expand economic opportunity through targeted investments in local communities. The bank said it will join the U.S. Chamber of Commerce's newly formed Housing Advisory Council as its chair, a role that will focus on
shaping housing policy at the local, state, and federal levels. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Alibaba's newest AI model says it can keep up with Anthropic's best | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Alibaba released Qwen3.8-Max on Monday, describing it as the most capable model in its Qwen family to date, with 2.4 trillion total parameters and 95 billion active parameters. The model is
available through QwenCloud, with open weights planned for release next week — marking the first time Alibaba has open-sourced a model at this scale. Each query can draw on a context window of up to 1 million tokens — enough to cover approximately 750,000 words of input. Alibaba described its capabilities as spanning coding, real-world work tasks, long-horizon autonomous operation, and multimodal understanding of documents, video,
and images. Alibaba published benchmark comparisons showing Qwen3.8-Max performing at comparable levels to Anthropic's Fable 5 on several coding and general agent tasks, and scoring above it on some multimodal and document benchmarks. On PaperBench, Qwen3.8-Max posted a score of 93.0 against Fable 5's 88.8. On the general capability benchmark IFBench, it scored 82.8 against Fable 5's 63.5. Fable 5 led on several other measures, including SWE-bench Pro and
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