Agent Night panel recap: AGI arrived, or it's a skill issue

At Agent Night in San Francisco, WorkOS founder Michael Grinich led a discussion with Foundation Capital’s Jaya Gupta, Lindy CEO Flo Crivello, and Latent Space host swyx on rapid changes in AI agents. Panelists noted sharply rising spending on AI tools, growing adoption of lower-cost open-source models as companies scrutinize inference margins, and disagreement over whether AGI has arrived: Crivello argued that capable remote-worker replacements now exist, swyx cited persistent failures in judgment and complex tasks, and Gupta observed that many business uses do not require frontier-model intelligence. They emphasized that successful deployment increasingly depends on harnesses, evaluation systems, memory, context, permissions, and continual learning rather than model capability alone, with agents potentially generating their own tests and improving from feedback. Gupta described context graphs and skills as valuable but politically difficult because employee knowledge can be proprietary, while Crivello argued that automatic sharing of useful skills can create organizational learning. The panel also debated whether companies will favor broad general-purpose agents or specialist fleets, with permissioning and interface design remaining unresolved, and predicted that by year-end agents could perform a large share of workplace activities, local models may gain traction, and faster chips could substantially expand agent capabilities.

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