Quantum Retriever vs GlassBox Dev

Not all AIs work the same. With Quantum Retriever, you can search and compare their results. You can compare their answers, to see where they agree and where they don't. You can synthesize their results for more full answers. You can also evaluate specific models head to head, including many open source and experimental models. You can see how they rank on speed, token count, math and logic interpretation, and more. All your queries are only saved locally on your device, and are not shared with anyone outside this app.

CryptoKit hands you a final hash or ciphertext and hides everything in between. GLASSBOX rebuilds each algorithm by hand so every intermediate value is visible, tappable, and provably correct against Apple's real implementation — then lets an on-device AI try to crack it, winning on the weak and drowning on the strong. Honesty is a hard requirement. No screen ever fakes progress against strong crypto. Where AI or brute force cannot win, the app shows it failing and explains why. The hand-written teaching engine is checked byte-for-byte against Apple's real CryptoKit/Security output — if they ever disagree, a test fails. WHAT YOU CAN DO • Classical ciphers — Caesar, ROT13, Vigenère, XOR — with an on-device AI cracker that breaks them from ciphertext alone using real statistical cryptanalysis. • Modern families rebuilt by hand and verified against the real thing: AES-128, ChaCha20, DES; SHA-256/512, SHA-1, MD5; RSA, ECC, X25519. Scrub AES through its 10 rounds, step RSA one exponent bit at a time, watch SHA-256 churn its state. • The avalanche on camera: flip one input bit and about half the digest flips. • Crack, Tamper, and Breach labs — a dictionary attack cracks weak passwords instantly while a real, device-timed Argon2id shows why strong hashing takes centuries. • Labs of physics and math: a thermodynamic crack lab, a quantum threat layer (Shor/Grover verdicts + post-quantum survivors), an entropy forge that harvests real sensor noise, and Rosetta panels showing the same cipher in Swift, Python, and C++. • The AI, honestly: a hand-written deep net genuinely learns a reduced-round distinguisher — then genuinely fails at full strength, forever. The flat line is the exhibit. • Hermes — a persistent learner whose brain grows across sessions and syncs across your devices via iCloud. PRIVACY All cryptographic computation runs on your device; your inputs never leave it. The only network traffic is optional iCloud sync of the app's own learning data (in your private iCloud database) and anonymous crash/diagnostic reporting. No accounts, no ads, no tracking.