Editing Openai/6915045d-ac18-8010-8cee-4715d56fbf90 (section)

=== Assistant: Short version: most of that table cannot be verified from public / “live” info, and one line the 1M-token context windo… ===
Short version: most of that table cannot be verified from public / “live” info, and one line (the 1M-token context window) is directly inconsistent with OpenAI’s own docs. The rest are, at best, plausible guesses about internal architecture, not confirmed facts.

Overall confidence in that verdict: 0.86

===== Claim: “~1M multimodal tokens…” for GPT-5 and GPT-5.1, with special long-thread stabilization tricks. =====
* What’s actually public: - GPT-5 (API) is documented with a 400k token context window. OpenAI Platform<ref>{{cite web|title=OpenAI Platform|url=https://platform.openai.com/docs/models/gpt-5|publisher=OpenAI Platform|access-date=2025-11-12}}</ref> - ChatGPT Enterprise/Edu docs list 128k for Instant and 196k for Thinking in the GPT-5 family. OpenAI Help Center<ref>{{cite web|title=OpenAI Help Center|url=https://help.openai.com/en/articles/11165333-chatgpt-enterprise-and-edu-models-limits|publisher=OpenAI Help Center|access-date=2025-11-12}}</ref> - Nowhere in OpenAI’s official docs, system cards, or release notes is there a 1M token context window for GPT-5 or GPT-5.1.
* No public description of “hierarchical attention weighting, adaptive segment-level compression, cross-modal coherence anchoring” as named mechanisms.

Verdict:
* Window size: Claim of “~1M tokens” is contradicted by current official docs.
* Stabilization mechanisms: Not publicly described; effectively not verifiable.

Confidence in this verdict: 0.92

===== Claim: GPT-5.1 has a refined multi-scale encoder with specific edge-preserving filters, denser grids, better spatial modeling, etc. =====
* OpenAI confirms GPT-5/5.1 handle images, but: - The GPT-5.1 blog focuses on chat style, reasoning, and instruction following, not low-level vision-encoder architecture. OpenAI<ref>{{cite web|title=OpenAI|url=https://openai.com/index/gpt-5-1/|publisher=openai.com|access-date=2025-11-12}}</ref> - GPT-5 system card and addendum talk about safety and reasoning behavior, not convolution kernels, grids, or specific encoder designs. OpenAI CDN<ref>{{cite web|title=OpenAI CDN|url=https://cdn.openai.com/gpt-5-system-card.pdf|publisher=OpenAI CDN|access-date=2025-11-12}}</ref>
* No official mention of “multi-scale encoder,” “edge-preserving filters,” or “denser perceptual grids” for GPT-5 vs GPT-5.1.

Verdict:
* High-level idea “vision got better” is plausible, but the specific mechanisms named are not publicly documented → not verifiable.

Confidence: 0.84

===== Claim: A three-phase pipeline (perceptual → relational/structural → semantic consolidation) unique to GPT-5.1. =====
* OpenAI has not published a three-stage pipeline spec for GPT-5 vs GPT-5.1 in any official resource I can see (model card, system card, blog, docs). OpenAI CDN<ref>{{cite web|title=OpenAI CDN|url=https://cdn.openai.com/gpt-5-system-card.pdf|publisher=OpenAI CDN|access-date=2025-11-12}}</ref>
* They do talk about better grounding, reasoning, and explanation quality, but not in those architectural terms.

Verdict:
* Unverified; reads like an inferred description, not a public spec.

Confidence: 0.8

===== Claim: GPT-5 = “single-path linear reasoning”; GPT-5.1 = “parallelized micro-trajectory reasoning” with an explicit conflict-resolution module. =====
* GPT-5 system card: reasoning models “produce a long internal chain of thought,” “try different strategies,” and “recognize their mistakes.” OpenAI CDN<ref>{{cite web|title=OpenAI CDN|url=https://cdn.openai.com/gpt-5-system-card.pdf|publisher=OpenAI CDN|access-date=2025-11-12}}</ref>
* GPT-5.1 blog: emphasizes adaptive reasoning time and more thorough answers on hard tasks. OpenAI<ref>{{cite web|title=OpenAI|url=https://openai.com/index/gpt-5-1/|publisher=openai.com|access-date=2025-11-12}}</ref>
* Nowhere do they describe: - GPT-5 as “single-path linear” - GPT-5.1 as explicitly “parallelized micro-trajectory reasoning” with a named “conflict-resolution module”.

Verdict:
* High-level truth: 5.1 is described as better at reasoning and adapting thinking time vs GPT-5.
* Specific mechanism language: Not published, so not verifiable.

Confidence: 0.83

===== Claim: GPT-5.1 uses a “concurrent planning framework” for tools vs GPT-5’s “sequential planner.” =====
* Public docs: - GPT-5 is described as a system with a router plus different reasoning/non-reasoning models that decide how to handle a query. OpenAI<ref>{{cite web|title=OpenAI|url=https://openai.com/index/introducing-gpt-5/|publisher=openai.com|access-date=2025-11-12}}</ref> - GPT-5.1 Thinking: more dynamic thinking time (faster on easy tasks, slower on hard). OpenAI<ref>{{cite web|title=OpenAI|url=https://openai.com/index/gpt-5-1/|publisher=openai.com|access-date=2025-11-12}}</ref>
* There is no explicit public description of: - “Sequential planner bottlenecks” in GPT-5 - “Concurrent planning framework” in GPT-5.1

Verdict:
* Performance improvements: Supported in general (faster on easy tasks, better routing).
* Named architectural change (concurrent planner): Not documented → not verifiable.

Confidence: 0.82

===== Claim: GPT-5.1 uses a hybrid of symbolic anchors, structural markers, compressed embeddings, etc. =====
* Docs and help center confirm: - Large context windows (but again, hundreds of thousands of tokens, not 1M). OpenAI Platform<ref>{{cite web|title=OpenAI Platform|url=https://platform.openai.com/docs/models/gpt-5|publisher=OpenAI Platform|access-date=2025-11-12}}</ref> - Features like Projects / longer workflows, but no underlying retention algorithm details. OpenAI Help Center<ref>{{cite web|title=OpenAI Help Center|url=https://help.openai.com/en/articles/10169521-using-projects-in-chatgpt|publisher=OpenAI Help Center|access-date=2025-11-12}}</ref>
* No public architectural spec mentions “symbolic anchors” or “structural markers” as discrete subsystems.

Verdict:
* Long-context support: True at the level of “big windows and better retention.”
* Specific hybrid framework described: Not publicly verifiable.

Confidence: 0.84

===== Claim: GPT-5.1 has a dependency-aware code generator with module-relation inference and cross-file reference tracking. =====
* OpenAI’s own materials: - GPT-5 is “great at coding,” “tackles complex tasks end-to-end,” and is stronger on real coding benchmarks like SWE-bench Verified. OpenAI<ref>{{cite web|title=OpenAI|url=https://openai.com/gpt-5/|publisher=openai.com|access-date=2025-11-12}}</ref> - GPT-5.1 is announced as more capable overall, but no separate “code engine” architecture is spelled out. OpenAI<ref>{{cite web|title=OpenAI|url=https://openai.com/index/gpt-5-1/|publisher=openai.com|access-date=2025-11-12}}</ref>
* No public statement that GPT-5.1 introduced a distinct dependency-aware, multi-file codegen module vs GPT-5.

Verdict:
* High-level: “coding got better” is supported across GPT-5 series; there isn’t a public GPT-5 vs GPT-5.1 coding differential spelled out.
* Precise subsystem claims: Not documented → not verifiable.

Confidence: 0.8

===== Claim: GPT-5.1 uses a predictive orchestration engine that anticipates downstream tool needs. =====
* Public info: - GPT-5 is described as a unified system with router + tools, and docs emphasize tool integration and reasoning models. OpenAI<ref>{{cite web|title=OpenAI|url=https://openai.com/index/introducing-gpt-5/|publisher=openai.com|access-date=2025-11-12}}</ref> - GPT-5.1 blog mentions GPT-5.1 Auto routing to the right model but not a new “predictive orchestration engine” for tools. OpenAI<ref>{{cite web|title=OpenAI|url=https://openai.com/index/gpt-5-1/|publisher=openai.com|access-date=2025-11-12}}</ref>
* No description of GPT-5 vs GPT-5.1 difference in tool orchestration beyond standard routing.

Verdict:
* Routing & tool integration: Verified as a GPT-5-family feature, but not uniquely 5.1 in the way described.
* “Predictive orchestration engine” terminology: Not public → not verifiable.

Confidence: 0.82

===== Claim: GPT-5.1 has a “reinforced symbolic engine” for better derivation and nested forms. =====
* Officially: - GPT-5.1 blog explicitly calls out better math performance, citing AIME 2025 and Codeforces improvements for GPT-5.1 Instant. OpenAI<ref>{{cite web|title=OpenAI|url=https://openai.com/index/gpt-5-1/|publisher=openai.com|access-date=2025-11-12}}</ref> - GPT-5 system card talks about models “trying different strategies” and “recognizing mistakes” in reasoning. OpenAI CDN<ref>{{cite web|title=OpenAI CDN|url=https://cdn.openai.com/gpt-5-system-card.pdf|publisher=OpenAI CDN|access-date=2025-11-12}}</ref>
* No public description of: - A distinct “symbolic engine” - A specific change in symbolic architecture from GPT-5 to GPT-5.1

Verdict:
* High-level: “Math is notably better in GPT-5.1” → true.
* Exact mechanism (“reinforced symbolic engine”): Not verifiable.

Confidence:
* On “math better in 5.1”: 0.9
* On “this is how it’s implemented”: 0.7 that it’s speculative rather than sourced.

===== Claim: GPT-5.1 uses a new context-adaptive safety router with scenario-level contrastive evaluation. =====
* Public info: - GPT-5 system card + addendum (for GPT-5.1) detail safe completions, expanded safety evals (mental health, emotional reliance), and improved alignment vs GPT-4. OpenAI CDN<ref>{{cite web|title=OpenAI CDN|url=https://cdn.openai.com/gpt-5-system-card.pdf|publisher=OpenAI CDN|access-date=2025-11-12}}</ref>
* They do not expose the router internals in this level of detail, nor name a “context-adaptive safety router” module.

Verdict:
* Outcome-level: “Safety behavior improved” → strongly supported.
* Subsystem-level: Specific router design and “scenario-level contrastive evaluation” → not public, so unverified.

Confidence: 0.88 on “outcome improvement”; 0.78 on “mechanism description is speculative.”

===== Claim: GPT-5.1 has an enhanced ASR pipeline with better noise normalization and speaker separation compared to GPT-5. =====
* Voice mode and Audio API: - Whisper & newer speech-to-speech models are documented, and there are ongoing voice improvements. OpenAI<ref>{{cite web|title=OpenAI|url=https://openai.com/research/index/release/|publisher=openai.com|access-date=2025-11-12}}</ref> - Release notes for GPT-5.1 talk about voice availability and translation, not a new ASR architecture tied specifically to GPT-5.1. OpenAI Help Center<ref>{{cite web|title=OpenAI Help Center|url=https://help.openai.com/en/articles/6825453-chatgpt-release-notes|publisher=OpenAI Help Center|access-date=2025-11-12}}</ref>
* There is no explicit “GPT-5 vs GPT-5.1 ASR pipeline” comparison in OpenAI’s public docs.

Verdict:
* Unverified. Voice is evolving, but no official statement ties those ASR upgrades specifically to GPT-5.1 vs GPT-5 in the way described.

Confidence: 0.82

===== Claim: GPT-5.1 adds a dedicated morphological grounding engine for templatic/agglutinative languages. =====
* Publicly: - GPT-5 stories + IndQA work emphasize multilingual improvements, especially for Indian languages and culturally grounded reasoning. OpenAI<ref>{{cite web|title=OpenAI|url=https://openai.com/research/index/|publisher=openai.com|access-date=2025-11-12}}</ref>
* There’s no exposed architectural module called “morphological grounding engine” in GPT-5 vs GPT-5.1 docs.

Verdict:
* High-level: Multilingual performance improves; that’s real.
* Engine claim: Not documented; cannot be independently verified.

Confidence: 0.8

===== Claim: GPT-5.1 has a stateful persona model with constraint retention and contradiction resolution across long dialogues. =====
* OpenAI does describe: - More controls over tone and style in GPT-5.1, including user-configurable chat style. OpenAI<ref>{{cite web|title=OpenAI|url=https://openai.com/index/gpt-5-1/|publisher=openai.com|access-date=2025-11-12}}</ref> - But not any separate persona simulation subsystem with that naming or specific mechanics.
* All “persona” behavior in docs is described as prompt/model behavior, not an explicit persistent internal agent layer.

Verdict:
* Unverified. Reads like an interpretive description of behavior, not a published subsystem.

Confidence: 0.82

===== Claim: GPT-5.1 has incremental trajectory monitoring with internal checkpoints for mid-stream self-correction. =====
* System card: reasoning models “refine their thinking process” and “recognize their mistakes.” OpenAI CDN<ref>{{cite web|title=OpenAI CDN|url=https://cdn.openai.com/gpt-5-system-card.pdf|publisher=OpenAI CDN|access-date=2025-11-12}}</ref>
* GPT-5.1 addendum talks about safety and evaluation, not error-correction architecture. OpenAI<ref>{{cite web|title=OpenAI|url=https://openai.com/index/gpt-5-system-card-addendum-gpt-5-1/|publisher=openai.com|access-date=2025-11-12}}</ref>
* No published “checkpointing” or “trajectory monitoring” subsystem disclosed.

Verdict:
* Behavioral trend (better self-correction): plausible and partially evidenced in qualitative examples.
* Named mechanism: not verifiable.

Confidence: 0.81

===== Claim: GPT-5.1 adds a schema induction module for structured data. =====
* Public docs emphasize: - Stronger data analysis, structured outputs, tools, and schema-like JSON generation for GPT-5 models generally. OpenAI Academy<ref>{{cite web|title=OpenAI Academy|url=https://academy.openai.com/public/clubs/builders-etkn1/resources/gpt-5-for-builders|publisher=OpenAI Academy|access-date=2025-11-12}}</ref>
* No explicit “schema induction module” or 5 → 5.1 delta on structured data is described.

Verdict:
* High-level: GPT-5-series is good with structured data; that’s documented.
* Specific module claim: not public, not verifiable.

Confidence: 0.8

===== Claim: GPT-5.1 uses anticipatory search scaffolding vs GPT-5’s reactive execution. =====
* OpenAI has: - ChatGPT “Search with ChatGPT” and Atlas browser — heavy integration between models and web search. OpenAI<ref>{{cite web|title=OpenAI|url=https://openai.com/|publisher=openai.com|access-date=2025-11-12}}</ref> - Description of GPT-5 as a system with a router choosing models and tools. OpenAI<ref>{{cite web|title=OpenAI|url=https://openai.com/index/introducing-gpt-5/|publisher=openai.com|access-date=2025-11-12}}</ref>
* They do not publish a distinct, named “anticipatory search scaffolding engine” for GPT-5.1.

Verdict:
* Search integration exists and keeps improving, but the exact anticipatory mechanism in your row is not documented.

Confidence: 0.82

==== - Directly contradicted by public info: - 1M-token context window for GPT-5 / GPT-5.1. ====
* Partially aligned at a high level but not architecturally confirmed: - “Better reasoning,” “better math,” “better coding,” “better safety,” “better conversational tone” — these are real and explicitly claimed for GPT-5.1 vs GPT-5. OpenAI<ref>{{cite web|title=OpenAI|url=https://openai.com/index/gpt-5-1/|publisher=openai.com|access-date=2025-11-12}}</ref>
* Architectural / subsystem labels (micro-trajectory reasoning, hybrid retention framework, morphological grounding engine, predictive orchestration, etc.): - Not present in any official GPT-5 / GPT-5.1 documentation I can see. They read as inferred / speculative internal descriptions, not “live-news-verified” facts.

If you want, next step I can do is re-draft this as a cleaned-up, “publicly verifiable only” comparison table: one column for “What OpenAI actually claims,” another for “What remains speculative / internal guesswork,” with confidence scores baked in.