Pallav Agarwal

Introducing Claude Fable 5.2 and Claude Mythos 5.2, designed to tackle the most daunting technical challenges. They’re capable collaborators on ambitious projects in many fields, and show improvements in areas like coding, reasoning, and vision.

Apple didn't store a plaintext list of forbidden words in iOS. Instead, researchers discovered a compiled minimal perfect hash table of 32-bit fingerprints buried inside the keyboard's language-model files. When you swipe-type or use autocomplete on an iPhone, the keyboard converts your input into token IDs and evaluates sequences of two to six words. It hashes those candidate n-grams using Bob Jenkins's public-domain hashword() function. If that 32-bit fingerprint matches an entry in the table, the predictive engine refuses to suggest it, or the swipe model actively diverts the word to an alternate match. On November 6, researcher Derik Kauffman published Swipeblocked after exhaustively enumerating candidate word combinations against the table to reverse-engineer the hidden phrases. His conservative estimate is roughly 100,000 entries across 28 languages. In English, the prediction list holds 4,525 phrases and the swipe-typing list holds 2,794. Most entries cover violence, slurs, and sexual content, but the table also silences geopolitical phrases like "Tibetan independence", "United Ireland", "dictator Trump", and Hebrew for "the occupied territories". In testing, swiping "United Ireland" consistently resolved to "United Iceland". You can still type any phrase letter by letter. The suppression only touches autocomplete predictions and gesture paths. Apple told Reuters the system avoids offensive suggestions, but never addressed the political entries or the existence of the table. Apple never published the list because it was never meant to be read. It took brute-forcing the hash table to show what the keyboard was quietly dropping.

So I recently badgered my cinematographer @steveyedlin into making my ideal iPhone still camera app. It shoots RAW, bypasses the iPhone's look processing and instead uses the same image processing we use on our movies. apps.apple.com/app/apple-sto…