The Infinite Alphabet person
2 mentions · across 1 show
https://penguin.co.nz/books/the-infinite-alphabet-9780241655672
Relationship map
company podcastsolid = outgoing · dashed = incoming
Connections 4
founded 1
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0.54
evidence rules-v4
co-founder of Inherent
works at 1
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0.50
evidence rules-v4
co-founder of Inherent
mentioned 1
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0.45
evidence rules-v4
Link in episode "How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes": https://penguin.co.nz/books/the-infinite-alphabet-9780241655672
references 1
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0.38
evidence rules-v4
Link in episode "How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes": https://penguin.co.nz/books/the-infinite-alphabet-9780241655672
Heard in
- Machine Learning Street Talk (MLST)1 episode
Mentioned in episodes
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2026-09-11 · Machine Learning Street Talk (MLST) · via mentioned · 0.45
Link in episode "How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes": https://penguin.co.nz/books/the-infinite-alphabet-9780241655672
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2026-09-11 · Machine Learning Street Talk (MLST) · via references · 0.38
Link in episode "How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes": https://penguin.co.nz/books/the-infinite-alphabet-9780241655672
All extracted evidence for this entity (4)
description:founded How Replication Could Teach Machines What Good Science Looks
co-founder of Inherent
description:works_at How Replication Could Teach Machines What Good Science Looks
co-founder of Inherent
description:link How Replication Could Teach Machines What Good Science Looks
Link in episode "How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes": https://penguin.co.nz/books/the-infinite-alphabet-9780241655672
description:link How Replication Could Teach Machines What Good Science Looks
Link in episode "How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes": https://penguin.co.nz/books/the-infinite-alphabet-9780241655672