Language models are evolving from chatbots with simple next-token prediction into Digital Colleagues with working memory, persistent workspaces, reusable skills, and reliable problem-solving.
AI amplifies existing problems: companies with poor data hygiene and undocumented processes accelerate their compliance risks rather than their business processes when implementing AI.
MSA reduces attention computation for million-token contexts by a factor of 28.4 through blockwise sparse selection and achieves practical speedups via co-design of algorithm and GPU kernel.
DXC is already successfully deploying Claude in production through 95%+ of software development on its new OASIS platform and is now rolling it out to customers in regulated, modern, and cybersecurity-critical environments.