MYTHIC GPT 4 PRO HAS BEEN RELEASED: https://scratch.mit.edu/projects/1351587277/ ✦ ━━━━━━━━━━━━━━━━━━━━━━ ✦ ⚡ M Y T H I C G P T 3 ⚡ FASTEST & SMARTEST AI LLM IN SCRATCH ★REAL AI, LIKE CHATGPT★ scroll down for more information ✦ ━━━━━━━━━━━━━━━━━━━━━━ ✦ ★RUN FULLY IN SCRATCH WITHOUT AN API★ Does NOT need Turbowarp, just run it directly in scratch :D (might run a bit slow for some people) !!! START A NEW CONVERSATION BY CLICKING THE GREEN FLAG IF THE AI STARTS ACTING WEIRD !!! ★★★ Pushing the limits of what is possible with ai fully inside Scratch. ★★★ There is only so much that I can add to this model. Right now, I focus on general logic "What color is the red box", but it only knows 1500 words, and due to the limitations of Scratch, there is only so much that I can do to improve it before it stops working entirely. ★FEATURES★ - Real-time chat, runs entirely inside a Scratch project - No internet, no servers - 2,000+ hand-crafted conversational patterns - Multi-turn context: remembers your last message (try "tell me about dogs" then "what about cats") - Riddles with reasoning, logic puzzles, geography depth, animal facts, science basics - Slang recognition: wbu, ty, idk, lol, nvm, bruh, omg, tbh, fr, and more - Anti-hallucination: graceful "I don't know" responses for off-corpus questions - Pen-rendered chat UI with colored speech bubbles and autoscroll - Live tokens/sec display in the top-left - "generating" placeholder while the AI is thinking - Punctuation tolerance: handles "hi!", "what's up?", "don't you know?" - Self-identifies as MythicGPT 3 ★UPGRADES OVER 2.1 PRO★ - 4x more parameters (~467K vs ~122K) - 6x more training pairs (~2,000 vs ~340) - 2-layer LSTM (vs single layer) - NEW: multi-turn conversation memory - NEW: riddles with reasoning traces ("what gets wetter the more it dries" → "a towel") - NEW: logic / if-then questions ("if today is monday what was yesterday") - NEW: geography depth — every country, capital, continent chained reasoning - NEW: pen-stamped bubble chat UI replacing the plain list monitor - NEW: tokens-per-second stats display + "generating" indicator - FIXED: first-token collapse — 2.1 Pro's Scratch if_else block bug made every response start with "hi" or "no" regardless of input. v3 always emits the correct first word. ★THE STATS★ Parameters: ~467,000 Vocabulary: 1,500 words Training pairs: ~2,000 unique (oversampled to ~52,000 training examples) Quantization: int8 (1 byte per weight) Weights file: 2.0 MB .sb3 file: 605 KB Max response length: 22 tokens Conversation memory: 1 message of prior context ★ARCHITECTURE★ - 2-layer LSTM with tied input/output embeddings - V=1500, H=130, ~467,000 parameters - Int8 per-tensor quantized weights stored as Scratch lists - Sigmoid / tanh approximated by 161-entry lookup tables - Word-level tokenizer with punctuation removal - Greedy argmax decoding with no-repeat-bigram filter - Multi-turn encoder input -------------------------------- im happy that the project finally got indexed by scratch search lol. some tags for the search engine gpt gpt gpt gpt gpt gpt gpt gpt gpt gpt ai ai ai ai ai ai ai
