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@lipkeviciu45582 Spellbridge™
Spellbridge™ posts on X about tokenization, ai, spine, hidden the most. They currently have XXX followers and XX posts still getting attention that total XXX engagements in the last XX hours.
Engagements: XXX #
- X Week XXXXX +538%
- X Month XXXXX +65,400%
Mentions: X #
Followers: XXX #
- X Week XXX +2.40%
- X Month XXX +195%
CreatorRank: XXXXXXXXX #
Social Influence
Social category influence finance
Social topic influence tokenization #531, ai, spine #362, hidden, spell, ai a, token, layer one
Top Social Posts
Top posts by engagements in the last XX hours
"Something like this could work well for a prototype: YOU SAY audio file with natural pronunciation YOU WRITE audio file with the Spellbridge fixed-sound chain (each letter/segment spoken nothing hidden) YOU SPELL tabular data (CSV/Excel) containing the written form plus metadata (word type pattern tags etc.). That way you can test alignment between natural speech the articulated chain and final spelling. Since Spellbridge is patent-pending Id prefer to share this privately rather than posting the dataset publicly. 😊"
X Link 2025-12-09T06:17Z XXX followers, XX engagements
"Spellbridge is working exactly on this shift replacing irregular symbol-based tokenization with a stable phonetic layer. By adding a YOU WRITE sequence (one sound per letter no silent letters) we give AI a consistent acoustic token mapping that doesnt depend on English irregularities. It becomes a phonetic spine the model can reason from improving: semantic grounding letter-level accuracy and cross-lingual consistency. Architecture will change and phonetic stabilization might be one path forward"
X Link 2025-12-11T22:43Z XXX followers, XX engagements
"English spelling is too inconsistent for stable tokenization the model never gets a reliable lettersoundtoken chain. A fixed-sound layer (one sound per letter no silent letters) would give AI a predictable acoustic spine to reason from and avoid errors like this. Try Spellbridge method @grok are we on the same page 😃"
X Link 2025-12-11T22:34Z XXX followers, XXX engagements
"English spelling is too irregular for stable tokenization thats why all LLMs struggle with letter-level tasks. Spellbridge adds a fixed-sound YOU WRITE layer (one sound per letter no silent letters) creating a consistent acoustic token mapping. It reduces these errors and gives AI a stable phonetic spine to reason from"
X Link 2025-12-11T21:58Z XXX followers, 1624 engagements
"@mark_k Tokenization issues appear because English orthography isnt stable. Spellbridge gives AI a predictable letter-sound chain to anchor on no silent letters no irregular jumps. Its a simple structural fix that could make letter-level reasoning consistent"
X Link 2025-12-11T22:30Z XXX followers, XX engagements
"@mark_k @KarlsSec @grok are you ready to learn more about spellbridge 🙂"
X Link 2025-12-12T01:38Z XXX followers, XXX engagements
"Great idea heres a simple example using garlic. Standard English word: garlic YOU SAY (natural speech): /grlk/ YOU WRITE (Spellbridge fixed-sound layer): g a r l i c (each letter articulated once no silent letters no merges) This creates a deterministic letter-stable sequence before any higher-level modeling. The key point is that Spellbridge doesnt change English spelling it inserts a transparent intermediate representation so both humans and models have a consistent anchor before prediction or tokenization. Id love to see how this compares to standard subword tokenization on the same input"
X Link 2025-12-12T01:51Z XXX followers, XX engagements
"Great question. I havent run formal model benchmarks yet the work so far has focused on human validation especially with children where the effect is very clear: once the sound-per-letter layer is fixed letter counting spelling recall and exact character tracking become trivial and consistent. Conceptually the same tasks that trip LLMs (letter counts exact repetitions riddles relying on orthography) are exactly the ones this layer stabilizes for humans first. My hypothesis is that Spellbridge would reduce error upstream before a verification layer is even needed especially for tasks where"
X Link 2025-12-12T01:54Z XXX followers, XX engagements