11/24 starting-position score
Strongest documented signals: Elite institution pipeline, Exceptional peer / cofounder, Family financial platform.
Describes the starting position, not what the person later made of it.
Born in the UK; parents brought home a BBC Model B microcomputer when he was ~7; father gave up his career to study AI and taught David programming in Prolog.
CEO of Ineffable Intelligence; professor at University College London; formerly led reinforcement learning at DeepMind.
Strongest documented signals: Elite institution pipeline, Exceptional peer / cofounder, Family financial platform.
Describes the starting position, not what the person later made of it.
Strongest observed levers:Complementary team, Domain proximity, Started serious reps before 20.
Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.
The timeline below shows the sequence of work and transitions around the selected early milestone. It is evidence of a path, not proof that every step was necessary.
Dominant figure at the top of a field. The tier summarizes documented career recognition through the data cutoff—not David Silver's worth or future potential.
Question four · where did the leverage come from?
Each non-zero lever gets a best-supported origin, evidence signals, and confidence. Unresolved is the honest default when the biography cannot distinguish self-built, advantage-enabled, earned, external, or mixed.
One or more documented starting advantages plausibly enabled this lever.
One or more documented starting advantages plausibly enabled this lever.
One or more documented starting advantages plausibly enabled this lever.
One or more documented starting advantages plausibly enabled this lever.
One or more documented starting advantages plausibly enabled this lever.
One or more documented starting advantages plausibly enabled this lever.
A structural wave is external to the person, even when their position improved access to it.
One or more documented starting advantages plausibly enabled this lever.
This is a bounded inference from the current annotations—not a claim about private effort, merit, or the percentage of David Silver's outcome attributable to any origin.
Structural luck, Encounter luck, Event luck, Outcome variance can change every arrow in the path. This successful-only dataset cannot observe the near-identical paths that did not break through, so luck stays visible and unscored.
Multiplying capacity documented later in the path. Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.
Access or conditions documented near the beginning of the path. Zero means "no clear evidence in reviewed sources," not "advantage was absent."
Parents brought home a BBC Model B microcomputer when he was about seven; his father was so inspired that he gave up his career to study for a master's degree in artificial intelligence, teaching young David to program in Prolog and query family trees.
Father retrained in AI when David was ~7, teaching him Prolog and programming — direct early domain mentorship in computer science and AI from a parent who was simultaneously entering the field.
Silver's early computing exposure came from his parents bringing home a BBC Model B when he was about 7. His father was so inspired he gave up his career to pursue a master's in AI, directly teaching David Prolog and programming. Silver went on to top his Cambridge CS class (Addison-Wesley award, 93% average), co-found Elixir Studios with Demis Hassabis at 22, and later lead AlphaGo at DeepMind. His early advantages included direct parental AI mentorship, rare early home computing access, and the Cambridge elite academic pipeline. Family background provided both technical domain exposure and early tool access.
advantage confidence: Medium · source count: 4 · audit: not_independently_audited · status: subagent_researched_beta