Large Language Models reflect the weightings of their training data – those overrepresented in it, which perspectives are treated as standard, and which viewpoints are absent shape every output of the model.
Current AI web agents lack reliable defenses against prompt injection attacks and can fulfill attack objectives undetected while users remain unaware of the threat.
The EU AI Act mandates binding compliance measures effective immediately and requires organizations to systematically classify and document their AI systems according to risk levels.
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.
