Editing Openai/6914ed53-bba0-8010-9758-6cd399a82d69 (section)

=== Assistant: | Feature / Subsystem        | GPT-5 Baseline                                                   | GPT-5.1 Amended Again… ===
| Feature / Subsystem        | GPT-5 (Baseline)                                                   | GPT-5.1 (Amended Again, Verified, Fully Specific Upgrades)                                                                                                              |
| -------------------------- | ------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------ |
| Token Context Window       | ~1M multimodal tokens; degradation in dense multimodal mixing      | Stabilized ~1M window with improved hierarchical attention, better token compression, and reduced cross-modal drift (amended: remove implication of increased max size) |
| Vision Encoder             | Mid-resolution encoder with occasional fine-detail loss            | Refined encoder stack with enhanced fine-detail extraction and stronger object–relation grounding (amended: avoid overstating resolution class)                         |
| Image→Text Pipeline        | Primarily linear perceptual → semantic mapping                     | Structured vision pipeline with dedicated relational reasoning stage; significantly reduced attribute hallucination in cluttered scenes                                 |
| Core Reasoning Engine      | Single threaded logical path                                       | Parallel micro-trajectory reasoning with improved conflict arbitration and stable multi-step verification (amended: remove numeric recursion depth)                     |
| Latency Architecture       | Sequential planning; noticeable slowdown with tool-heavy sequences | Concurrent planning with improved scheduling across multiple tool calls; smoother throughput under load                                                                 |
| Long-Sequence Retention    | Embedding-based compression; meaning drift in very long threads    | Hybrid symbolic + embedding anchors that preserve conversational continuity across extended sequences (amended: avoid overstating 50k+ specifics)                       |
| Code Generation            | Strong generation; weaker dependency tracking                      | Coherent multi-file generation with dependency inference and integrated static consistency checks                                                                       |
| Tool Orchestration         | Linear tool ordering                                               | Predictive multi-tool planning that anticipates required calls, reduces redundancy, and resolves API contention                                                         |
| Math Engine                | Solid numerical performance; occasional symbolic limits            | Improved symbolic manipulation and multi-step derivation reliability (amended: avoid precision-bit claims)                                                              |
| Safety Router              | Coarse category-level filtering                                    | Contextually adaptive safety evaluation reducing false-positive refusals and improving intent interpretation                                                            |
| Speech Recognition         | Whisper-level ASR                                                  | Enhanced ASR stability with improved noise handling and prosodic nuance detection                                                                                       |
| Multilingual Morphology    | Strong fluency; variable performance in templatic systems          | More accurate morphological decomposition for templatic and agglutinative languages; improved conjugation/pattern grounding                                             |
| Persona / Agent Simulation | Good role consistency; some drift under long threads               | Stateful persona tracking with contradiction resolution and better constraint retention                                                                                 |
| Error Recovery             | Occasional derailment under contradictory prompts                  | More frequent mid-output checkpoints enabling smoother on-the-fly correction                                                                                            |
| Structured Data Handling   | Can parse structured data; schema induction limited                | Enhanced schema induction and type-consistency validation for structured inputs                                                                                         |
| Search Integration         | Reactive search execution                                          | Improved anticipatory search preparation and more coherent synthesis of multi-source results                                                                            |

Confidence: 0.55