Danny Hernandez
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- 80,000 Hours2h 19m
Serendipity, weird bets, & cold emails that actually work: Career advice from 16 former guests
Luisa, Holden Karnofsky, Jeff Sebo, Dean Spears, Michael Webb, Michelle Hutchinson, Benjamin Todd, Chris Olah, Karen Levy, Leah Garcés, Spencer Greenberg, Danny Hernandez, Sarah Eustis-Guthrie, Hannah Ritchie, Alex Lawsen, Pardis Sabeti, Varsha Venugopal, Matt
This event outlines a strategic framework for early-career development that prioritizes building transferable high-level aptitudes over predicting specific cause areas. It details how to leverage AI tools for rapid upskilling and social networking while identifying human-centric skills like trust-building and empathy as future-proof assets. Additionally, the discussion provides actionable protocols for managing career risk through regular re-evaluation points, testing assumptions via low-cost trials, and recognizing toxic social dynamics to ensure long-term professional resilience.
- 80,000 Hours2h 12m
Forecasting & the drivers of AI progress | Danny Hernandez (2020)
Danny Hernandez, Rob Wiblin, Arden Kaler
OpenAI's Foresight team and associated experts analyzed the exponential 10x annual growth in AI compute since 2012 alongside multiplicative algorithmic efficiency gains to project how hardware constraints and research trends will shape future capabilities. The discussion emphasized that organizational success depends on fostering a culture of numerical forecasting and calibration training to reduce decision-making bias and resource misallocation. Furthermore, the event outlined viable non-traditional pathways for researchers to enter the field through targeted mentorship, while highlighting the critical need for government-supported compute access and policy expertise to prevent the fragmentation of the global AI ecosystem.