I would like the USA to not lose the ‘AI race’ but I don’t want other countries to lose either. Ensuring continued US leadership in AI without constraining global progress necessitates a dual-pronged strategy that couples strategic national R&D investments with adherence to open international standards. On the technical front, integrating edge computing, specialized AI silicon, and advanced hardware-software co-design with standardized protocols for interoperability enables US institutions to maintain a competitive edge. Simultaneously, promoting collaborative frameworks for data sharing, federated learning, and algorithmic auditing mitigates risks of siloed innovation, ensuring that breakthroughs in efficiency, low-latency inference, and energy-optimized training regimes benefit a global network of research and industry stakeholders. In the USA I would like to see major resources dedicated to both open models such as the ones from Meta, as well as the use of French Mistral open mo...
hi mark,
ReplyDeletewill you be using C ruby or Jruby for running Merb ? If yes, will it still be as enticing ?
Thank you,
BR,
~A
Hello Anjan,
ReplyDeleteThat is a good question. So far I have only tried Merb using the Matz C-Ruby system, but I have at least loaded Merb's gems using jruby, but have not yet tried generating a project, and doing any development using jruby. I understand that Merb 1.0 RC1 is due to be released tomorrow. I am at version 0.9.9 right now.