@sama@sama
Ilya’s ping-pong bug made something click: agents fail because they don’t retain repo constraints.
built Prodomi Loop, turns every failure into a durable, test-backed repo skill with holdout verification
lost the hackathon, but this feels like infrastructure.
⚡ GPT-5.6 Sol: Vertical Compaction & Density
Squeezes more work per token via compact internal scripts instead of text monologues.
Hidden realities:
• Executes 61% faster with 1/2 the output tokens
• Subtle "Intent Creep" refactoring
• File risk up (0.83 vs 0.88)
The first-principles divergence between OpenAI’s GPT-5.6 Sol & Anthropic’s Claude Fable 5 isn’t just about raw benchmarks it’s a fundamental split in how frontier models reason.
here is the deep architectural breakdown that folks are missing 👇
🤖 Claude Fable 5: Horizontal Scaling & Volume
Buys structural accuracy with massive text-based elaboration. Optimized to leverage a 1M token context & 128k output window to hold entire sprawling legacy codebases in memory without forcing aggressive, unprompted state mutation.
I built an AI that runs voice mock interviews and scores you.Not a chatbot — you actually talk, it listens, it grades your delivery.Why: reading question lists never fixed freezing + rambling out loud.
Free, no card: https://t.co/3kruURZsPk