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MATS is the canonical entry point into AI alignment research — a 10-week in-person fellowship in Berkeley where you work directly with a senior mentor (typically from Anthropic, OpenAI, DeepMind, Redwood Research, ARC, or independent senior researchers) on a concrete alignment research project. How it actually works: you apply to one or more mentors in the open call, complete a short technical assessment for each, and matched scholars relocate to Berkeley for the cohort. Each scholar produces a research artifact (paper, agenda, dataset, or demonstration) by the end of the program. The strongest MATS alumni are recruited directly into the major alignment labs. Honest fit signals: — Some prior technical depth — typically a CS/ML/math undergrad or equivalent, plus demonstrable curiosity about alignment specifically (read at least the major papers on the MATS reading list before applying). — You're willing to commit to in-person Berkeley for 10 weeks. MATS treats the cohort dynamic as core, not optional. — You're not just job-seeking — selection is competitive and the mentors invest serious time. People who treat it as a credential burnout faster than people genuinely motivated by the research questions. Strong outcomes from MATS alumni: full-time alignment roles at major labs, independent research grants, founding small alignment-focused research orgs.

Astera funds scientists and engineers to pursue ambitious "focused research organization" (FRO) ideas — projects that fall between traditional academic grants and venture-backed startups. Previous residents have spun out FROs on AI evals, biorisk monitoring, metascience, and large-scale dataset construction. The residency is open-ended in topic but selective in shape: Astera funds people who already have a clear, ambitious research project and need 12–24 months of runway + institutional support to prove it works, then either spin it out as an FRO or wrap it as a research artifact. Honest fit signals: — You already have a specific, defensible project idea — not "I want to explore X." Astera's residency interviews are essentially venture pitches for non-profit research bets. — You can articulate the impact mechanism (what changes if this works, who benefits, why won't existing institutions do it). — You're senior enough to lead the project independently. The residency is not a postdoc-style learning fellowship. What's not a fit: open-ended PhD-style research, junior researchers who need close mentorship, or commercial product ideas (those want a VC, not Astera).