jevPOST
Jev fact-checks a debate for 5 cents; SubQ Snap adds 384K context
The author used Jev to score every sentence of a full presidential debate for 5 cents, but says large inputs like codebases and contracts need Snap's 384K context.
Chetaslua
@chetasluaArchived 18 days agoOriginally posted 2026.10.13
Chetaslua @chetasluaOriginally posted 2026.10.13
i built the jev bs meter last month , it scored every sentence of a full presidential debate for 5 cents jev was perfect for that , a debate is small a real codebase or a stack of contracts is not small SubQ Snap is the same kind of decision model with 384K context > whole repo in one window > 100 page policy docs in one window > years of crm history in one window
This post quotes another post: x.com/alex_whedon/status/2109676361371824229
x.com/chetaslua/status/2109687303144915441Archived 2026.10.13 10:07