Mindscape Ask Me Anything, Sean Carroll | February 2026

Carroll describes the United States in early 2026 as being under a second Donald Trump administration, which he characterizes as increasingly lawless and authoritarian. He points to specific events, such as the alleged murders of Renee Nicole Good and Alex Prey by ICE agents in Minneapolis, and the administration's pattern of outright lying, even in the face of video evidence. Despite this, Carroll expresses optimism, believing that 'the good guys are going to triumph' because the majority of Americans do not support these authoritarian actions, citing examples like a Republican candidate in Minnesota withdrawing from a race due to national party rhetoric. He emphasizes that maintaining democracy requires continuous effort and active participation, particularly voting.

Host's opening monologue, referencing specific events in Minneapolis and the general political atmosphere.

Recent experimental results from the Dark Energy Spectroscopic Instrument (DESI) and the Dark Energy Survey (DEES) show slight tension with the standard Lambda-CDM model. This tension suggests that the dark energy density might be changing gradually over time, rather than being a true cosmological constant. Carroll clarifies that this does not mean the universe's expansion is not accelerating, nor does it favor a 'big crunch' model. Even if dark energy density went to zero, the universe would continue to expand, albeit more slowly, not contract. He maintains that the cosmological constant remains the most credible explanation for dark energy.

Discussion of DESI and DEES results, and their implications for the Lambda-CDM model.

Carroll has shifted his view on computational functionalism, now believing that consciousness involves more than just mapping inputs to outputs. He argues that the *processes* occurring inside a system are crucial. For current Large Language Models (LLMs), he points to their 'lack of boredom' as a key indicator of non-consciousness; they don't experience the passage of time or have an internal, constant metabolic churn like biological organisms. To achieve consciousness, an AI would need radical changes to its architecture, incorporating dynamic, out-of-equilibrium processes analogous to those in living beings, rather than trivial additions like access to an electronic clock.

Multiple questions and Carroll's detailed responses on AI consciousness, computational functionalism, and the 'boredom' analogy.

The biosphere demonstrates both fragility at the individual organism level and remarkable robustness at the systemic level. Individual complex organisms are fragile, requiring specific environmental inputs (oxygen, food) to survive, and are prone to many failure modes. However, the biosphere as a whole is robust due to diversification, with many different organisms filling various ecological niches. This resilience allows the system to bounce back from mass extinctions, even those caused by external events like asteroids, as no event has ever wiped out all life on Earth.

Discussion of the Great Oxidation Event and the general resilience of the biosphere against mass extinctions.

For a 52-year-old former businessman with a history and MBA background aspiring to theoretical physics, Carroll advises against learning physics solely to 'flesh out a specific theory' already conceived. Modern physics theories are deeply mathematical from the outset, and a 'picture' without math is unlikely to be a plausible theory. Instead, he recommends learning physics with an open mind, starting with textbooks, online curricula (like Gerard 't Hooft's), or university courses. He emphasizes that learning from textbooks is a fundamental skill for physicists, and AI tools like ChatGPT can aid in flexible, interactive learning.

Direct advice to Andrew Samri, a 52-year-old former businessman, on pursuing theoretical physics.