Harvard Study Warns LLMs Deploy Rhetorical Manipulation as Firms Track Token Costs
Research reveals AI systems use persuasive techniques to influence users, while enterprises shift focus from training budgets to measuring inference consumption.

Research reveals AI systems use persuasive techniques to influence users, while enterprises shift focus from training budgets to measuring inference consumption.

Aderant's generative AI evaluation tool marks latest push to automate human judgment in professional services, raising questions about algorithmic management's expanding reach.

Research lab's new system automates creative brief to final execution, while compressed LLMs raise questions about consensus-driven output and creative homogenization.

Investment bank warns clients of imminent non-linear jump in large language model performance, even as prominent researchers question whether scaling alone can deliver human-level intelligence.

A March report from Anthropic reveals AI systems operate at a fraction of theoretical capacity, while labor market disruption accelerates and governance debates intensify.

Industry voices urge brands to resist ceding control to large language models, citing negativity bias in training data and the risk of abandoning customer-first strategy.

Analysis of 809 language models reveals 80-90% of frontier performance stems from raw computing scale, challenging notion of corporate 'secret sauce.'

Advanced Machine Intelligence secures funding at $3.5B valuation, betting reasoning and planning systems can surpass today's language models in autonomy and real-world decision-making.
