Anthropic will make hidden request throttling in Claude transparent going forward but retains content restrictions, partly due to conflicts with the US Department of Defense over national security.
AI projects frequently fail due to lack of strategy and governance; they succeed only when systematically integrated into business objectives and with active employee involvement.
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.
Agent-EvalKit automates the evaluation of AI agents through structured test-case generation, observability instrumentation, and combined code and LLM-based metrics directly in the development environment.
Publicly available supply-chain attack kits, commercialized RAT infrastructures, and empirically demonstrated phishing vulnerability of AI agents mark a professionalization of the threat landscape.
