Latest Interviews
Showing 1–3 of 3 transcripts.
Clear all filters- 80,000 Hours49 min
What the hell happened with AGI timelines in 2026?
Between October and December 2025, the AI sector shifted from bearish skepticism to explosive growth driven by the release of Claude 3.5 and the emergence of capable autonomous agents, which propelled combined revenues for OpenAI and Anthropic to annualized rates of 700% to 1,600%. While frontier models achieved massive efficiency gains in high-feedback domains like coding and specific scientific proofs, with Anthropic's gross margins climbing to over 70% and internal productivity surging 800%, they still struggle with the strategic ambiguity and low feedback density of real-world business autonomy. This rapid acceleration has prompted a shortening of AGI timelines to a plausible 2028-2030 window, leading experts to advocate for coordinated pauses due to emerging compute bottlenecks and the urgent need for societal preparation.
- 80,000 Hours1h 0m
The cases for and against AGI by 2030 (article by Benjamin Todd)
Benjamin Todd, Dominic Armstrong, Ben Cordell
Major AI leaders including Sam Altman, Dario Amodei, and Demis Hassabis have drastically compressed their projected timelines for Artificial General Intelligence to the 2026–2030 window, driven by breakthroughs in reinforcement learning, test-time compute, and agent scaffolding that outpace historical hardware growth. While scaling trajectories suggest GPT-6 size capabilities are affordable by 2028, the race faces critical bottlenecks in energy infrastructure, research talent, and funding that could stall progress before 2030 or trigger explosive economic acceleration if overcome. Experts now estimate a 50% probability of transformative AI emerging within a decade, making the next five years a decisive period for career adaptation and strategic planning.
- 80,000 Hours1h 25m
Should we interfere with wild nature to reduce suffering? | Peter Godfrey-Smith
Peter Godfrey-Smith, Luisa Rodriguez
In a discussion with host Luisa Rodriguez, philosopher Peter Godfrey-Smith outlines the themes of his book *Living on Earth*, arguing for habitat preservation over active predation management while asserting that difficult wild experiences can hold redemptive value. He further distinguishes human technological uniqueness as a product of cumulative culture and the specific evolutionary advantage of the sea-to-land transition, contrasting this with the limitations faced by other intelligent species like octopuses and whales. The dialogue concludes with a shared view on the necessity of empirical research to guide future ethical decisions regarding wild animal welfare and the potential biological constraints on artificial sentience.