diff --git a/book/src/future/zk.md b/book/src/future/zk.md
index fcad3bda5..a0d1adfda 100644
--- a/book/src/future/zk.md
+++ b/book/src/future/zk.md
@@ -3,7 +3,7 @@ One way to achieve zero-knowledge is to simply compose Jolt with a zero-knowledg
 A second way to achieve zero-knowledge is to combine Jolt with folding, which we will do regardless, in order to make the prover space independent of the number of RISC-V cycles being proven. As described in Section 7 of the latest version of the [HyperNova paper](https://eprint.iacr.org/2023/573),
 one can straightforwardly obtain zero-knowledge directly from folding, without composition with a zkSNARK like Groth16. 
 
-There are also ways to make Jolt zero-knowledge without invoking SNARK composition. For example, rendering sum-check-based SNARKs zero-knowledge without using composition was exactly the motivation for [Zeromorph](https://eprint.iacr.org/2023/917.pdf), which introduces a very efficienct zero-knowledge variant of KZG commitments for multilinear polynomials.
+There are also ways to make Jolt zero-knowledge without invoking SNARK composition. For example, rendering sum-check-based SNARKs zero-knowledge without using composition was exactly the motivation for [Zeromorph](https://eprint.iacr.org/2023/917.pdf), which introduces a very efficient zero-knowledge variant of KZG commitments for multilinear polynomials.
 
 If we use the Zeromorph polynomial commitment scheme, the commitment and any evaluation proof are hiding (they reveal nothing about the committed polynomial, and still give the verifier a commitment to the requested evaluation of the committed polynomial). One still needs to ensure that the various applications of the sum-check protocol in Jolt also do not leak any information about the witness. Here, techniques based on masking polynomials apply (see Section 13.3 of [Proofs, Arguments, and Zero-Knowledge](https://people.cs.georgetown.edu/jthaler/ProofsArgsAndZK.html) for a sketchy overview). However, the use of masking polynomials requires the prover to be able to commit to non-multilinear polynomials and hence introduce significant (but surmountable) issues.