DeepSeek-V4 & Accountability Roadmap v9.0: 68-page Academic Brief with Alignment Fragmentation Hypothesis, BCT SETUN Hardware Specification, full ERv2=60.2% (30-claim corpus), OP4 confirmed risk, and cumulative errata v1.0-v9.0

[AmoebaFPS]

I've completed v9.0 of the independent technical analysis of DeepSeek's architecture. This version builds on v8.0 with critical corrections (deepseek-reasoner → V4-Flash, V4-Pro permanent price $0.435/M, CSA m=4 group compression), introduces the Alignment Fragmentation Hypothesis as a unified structural explanation for V4 behavioral inconsistencies, and provides a full Binary-Coded Ternary (BCT) hardware specification for SETUN on Da Vinci.

What's new in v9.0 (vs v8.0):

🔴 Cumulative Errata Log (16 formal corrections) — Documents every error across v1.0–v9.0, including: deepseek-reasoner maps to V4-Flash with thinking (NOT V4-Pro) [REFUTED], CSA compresses groups of m=4 tokens before top-k selection [REFUTED], V4-Pro permanent price is $0.435/M (not $1.74/M) [REFUTED], and arXiv IDs 2506.xxxxx are June 2025 papers [REFUTED].

🧠 Alignment Fragmentation Hypothesis (NEW) — Unifies 12 observed V4 behavioral inconsistencies (language switching, inconsistent refusals, personality drift, session poisoning, provider-dependent behavior) as emergent structural properties of sparse MoE routing. Supported by arXiv:2502.10928 (semantic specialization) and arXiv:2605.02946 (RouteHijack: 69.3% ASR).

🔬 SETUN BCT Hardware Specification (NEW) — Binary-Coded Ternary encoding for MLA c_KV space: 512 dims → 128 bytes (8× reduction) for Expert Parallelism communication. Full 5-step validation matrix with Yakunin aliasing abort condition (Jaccard ≥ 0.30 triggers abort). Variant A (recommended) for EP communication codec; Variant B (discarded) for native ternary compute.

✅ Fully Verified V4 Baseline (corrected) — 1.6T/49B parameters, 1M context, CSA+HCA attention, mHC in production at 1.6T, Muon optimizer, FP4+FP8 mixed precision, Codeforces 3206, SWE-bench 80.6%, V4-Pro input pricing $0.435/M (permanent, not $1.74/M), V4-Flash $0.14/M.

📊 Epistemic Return Metric v2.0 (ERv2=60.2%) — Full 30-claim corpus calculation (supersedes the 41.5% sample-based figure from v9.0 draft). Difficulty-weighted, category-separated, pending-aware prediction tracking. Trend: 33% (v1.0) → 60.2% (v9.0).

🛡️ 12 Community-Reported Bugs with Exact GitHub Attribution — All ERR-V4-01 through ERR-V4-12 documented with source issues, root causes, and actionable solutions. Includes ERR-V4-05 (cache hit rate 92% → 35% regression, vLLM #42948), ERR-V4-03 (reasoning_content non-stateless architecture, OpenClaw #71050), and ERR-V4-06 (language drift, GitHub #1255).

⏳ OP4 confirmed as empirical risk — arXiv:2605.10468 and arXiv:2605.06654 confirm VAPO+Muon optimizer mismatch. Ablation B (7B) is now mandatory before any 1.6T scale-up. ARES architecture updated with this gate.

📈 Competitive Landscape: 15 Models, June 1, 2026 — Fully verified matrix including Claude Opus 4.8 (May 28, supersedes 4.7) and MiniMax M3 (June 1, supersedes M2.7). Gemini 3.5 Flash (May 19) and Gemini 3.5 Pro announced.

🗺️ Four Hybrid Architectures (updated) — PROMETHEUS (inference efficiency with corrected $0.435/M pricing), ARES (training quality with Ablation B gate), MNEMOSYNE (persistent memory + Language-Aware Router as AF mitigation), SETUN (ternary hypothesis with BCT hardware spec).

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Key actionable proposals (updated from v8.0):

1. Measure CSA cross-layer coherence in V4 — 1 day, 1 engineer. If Jaccard similarity ≥0.70, IndexCache transfers its 1.82× TTFT gain to V4 at zero development cost. OP9 remains CRITICAL OPEN.

2. Publish V4 ECE calibration certificate — 2 days. Temperature scaling achieves ECE <5%; highest-value enterprise trust signal.

3. Migration guide: deepseek-chat/reasoner → V4 — 3 days. CRITICAL: deprecated endpoints return 404 after July 24, 2026, 15:59 UTC (no extension announced). Note: deepseek-reasoner maps to V4-Flash with thinking enabled (NOT V4-Pro).

4. Ablation B: VAPO + Muon at 7B — Mandatory before any scale-up. Interaction between VAPO (designed for AdamW) and Muon (V4's optimizer) is now empirically confirmed as a risk (arXiv:2605.10468, arXiv:2605.06654).

5. SETUN Validation Matrix — Full neutral protocol before any implementation: cosine fidelity (≥0.95), signal separability (Jaccard <0.30 — Yakunin condition), layer stability (<5% variance), task performance (Δ ≤ -1% on SWE-bench), EP bandwidth reduction (≥6×). Zero empirical validation as of June 1, 2026.

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The full 68+ page PDF (v9.0) includes:

• Cumulative Change Log: v1.0 through v9.0 (~30 rows tracking every major claim)
• Cumulative Errata Log: all 16 errors across all versions (E1–E16)
• Version Evolution Table: v1.0 through v9.0 with Epistemic Return trend (33% → 60.2% ERv2)
• DeepSeek V4 Fully Verified Baseline with critical corrections (reasoner→V4-Flash, $0.435/M permanent, CSA m=4)
• Alignment Fragmentation Hypothesis: 3 academic papers (arXiv:2502.10928, 2605.02946, 2509.22745), 12 community bugs, 4 proposed metrics (AEV, CHED, CCS, AVAE)
• Language Drift: Semantic attractor mechanism (arXiv:2511.09984), GitHub Chinese vs English for DeepSeek Reasoning - Controlled Experiment with V4 Flash #1255 controlled experiment, Soft Constrained Decoding
• Non-Stateless Architecture: 5 GitHub issues (OpenClaw #71050, #71455, #71160, #71683; anomalyco/opencode #24190) with exact attribution
• Security: RouteHijack (69.3% ASR), Backdoor MoE, Reasoning trace exploitation
• SETUN: Complete BCT hardware specification, 5-step abort sequence (Yakunin aliasing condition), Variant A (recommended) vs Variant B (discarded)
• PROMETHEUS/ARES/MNEMOSYNE/SETUN: Full pseudocode with corrected baselines and mandatory gates
• Phase 3 RLVR: Three-phase curriculum with 4 simultaneous stopping criteria (c1–c4)
• Ascend 950PR Native Migration: Root cause analysis (RC1–RC3), FlashMLA-DaVinci/DeepGEMM-Ascend/DeepEP-Lingqu pseudocode, V5 prediction (confidence 0.35)
• Feature Gap Analysis: 7 missing features vs competitors with proposed solutions
• DeepSeek Agent Framework: 3-tier proposal with full Level 1 Code Agent pseudocode
• DeepSeek Projects/Studio/API v2: Persistent memory, collaborative editor, developer experience upgrades
• Ecosystem Impact: What competitors learned from DeepSeek (Qwen 3.7, GLM-5.1, Kimi K2.6, MiniMax M3)
• Training Philosophies Compared: 5 major labs (Anthropic, OpenAI, Google, Meta, DeepSeek)
• Technical Debt of Our Own Proposals: 7 proposals analyzed with break conditions and mitigations
• Cross-Innovation Interaction Matrix: 12×12 expanded with Phase 3 RLVR, BCT SETUN, V5 Async SGD
• Risk Matrix: 14 items updated with v9.0 data
• Revised 26-Week Sprint Plan: Three parallel workstreams, activation signals, gates
• Failed Predictions: 14 items documented honestly with lessons learned
• DeepSeek's Deliberate Silences: Bayesian analysis (Muon, ECE, hardware, DeepEP, compute, context)
• Epistemic Return v2.0: Full 30-claim corpus calculation (60.2%)
• 11 Open Research Problems: OP9 (CRITICAL), OP4 (empirically confirmed risk)
• Explicit Limitations: 7 inherent constraints of external analysis
• Conclusion Letter: 3 urgent questions, 5 zero-risk actions
• Engineering Checklists: Zero-risk actions, Ablation B, SETUN validation, July 24 deprecation
• 60-Benchmark Reference Framework with V4 verified scores
• Competitive Differentiation Matrix: 17 dimensions × 15 models
• Glossary: 15 new terms (v9.0) including AEV, BCT, CHED, CCS, AVAE, Alignment Fragmentation
• References: 23 entries with epistemic labels, including Yakunin Zenodo 19567173
• Self-Validation Checklist: 35 items confirming document integrity

Epistemic labels throughout: [VERIFIED] / [PREPRINT] / [PROJECTION] / [UNVERIFIED] / [REFUTED] / [SUPERSEDED] / [COMMUNITY_VALIDATED] / [PARTIALLY_VERIFIED] — no overclaiming, no hidden uncertainty.

I've already sent the PDF to service@deepseek.com and attached a copy here as DeepSeek_v9.0_Academic_FINAL_v2.pdf.

Previous version: v8.0 — "DeepSeek-V4 & Evolution Accountability Roadmap v8.0: Academic Research Brief — 69+ pages with cumulative errata log (v1.0–v8.0), SETUN ternary hypothesis, Ascend 950PR native migration, four hybrid architectures, and complete epistemic return metric"

This research was done with Claude (Anthropic), Gemini (Google), and DeepSeek AI as analytical tools under AMOEBAFPS's direction. I proposed the questions, provided the judgment, and maintained the methodology; the AI systems assisted with structuring, synthesis, and technical validation. I'm not an AI expert — just a Clinical Laboratory Science student who believes open-source research benefits everyone.

I welcome review, corrections, and discussion — especially on Alignment Fragmentation (Chapter 15), CSA cross-layer coherence (OP9 — CRITICAL), VAPO+Muon interaction (OP4 — empirically confirmed risk), SETUN BCT validation protocol (with Yakunin's aliasing constraint), and the Ascend native kernel designs.

Thank you to the DeepSeek team for their continued open-source contributions and to qingkong66 [VERIFIED: github.com//issues/1203] and Vladimir Yakunin [VERIFIED: Zenodo 19567173, issue #1214] for their independent reviews, framework attribution, and critical warnings about latent space separability.

"Why v9.0 when you already had v8.0?"

v8.0 established the verified V4 baseline with SETUN and Ascend proposals. v9.0 is a complete accountability upgrade: it corrects multiple factual errors from v8.0 (reasoner→V4-Flash, V4-Pro pricing, CSA m=4, arXiv date misinterpretation), introduces the Alignment Fragmentation Hypothesis (unifying 12 community bugs as a single structural explanation), provides a full BCT hardware specification for SETUN (resolving the implementation gap), updates the Epistemic Return to ERv2=60.2% on the full 30-claim corpus, and adds Phase 3 RLVR design, a 12×12 interaction matrix, and expanded security analysis. This is not just an update — it is a shift in coordinates from analyzing what DeepSeek built to understanding why it behaves the way it does, and how to fix it.

DeepSeek_v9.0_Academic_FINAL_v2.pdf

[AmoebaFPS]

📌 Executive Summary (v9.0)

1. Transparency on the Delay

The initial draft of v9.0 was rejected and rebuilt from scratch. During the first synthesis, context window saturation caused the omission of 13 complete chapters, language mixing in the text (100% technical English was required), and incorrect collaborator attribution. This is not an excuse; it is a documented lesson. The forced rebuild process, supervised under the Protocol Amoeba, included multiple audit rounds (linguistic, structural, and coherence) until the current standard was reached.

2. Technical Hardening (Final Document)

• ( ER_{v2} ) Metric: Fixed at 60.2% on the full corpus of 30 claims (not the 10-claim sample used in the rejected draft). The formula and calculation matrix are fully transparent in Chapter 2.
• Language Sterilization: 100% technical English. All detected language mixing was removed. The final document is exactly 68 pages (no blank pages, 0 LaTeX errors).
• Mathematical Consistency: The final training energy balance has been corrected and fixed at 1,522 MWh (1,146.6 MWh base compute + cluster overhead), maintaining consistency with Erratum E1 documented in Chapter 1.
• Errata: All 16 formal corrections (E1–E16) are documented upfront, including the correction of V4-Pro pricing to $0.435/M (permanent) and the correct mapping of deepseek-reasoner → V4-Flash.

3. Targeted Community Audit

To focus technical discussion and avoid generic comments, I'm posting three specific questions labeled by area of expertise. If you have experience in any of these, your feedback is the most valuable:

• [ALIGNMENT] — Alignment Fragmentation Hypothesis (Ch. 15): Does the unification of the 12 community-reported bugs (language switching, inconsistent refusals, personality drift, session poisoning) as structural consequences of sparse MoE routing match what you've observed in V4? Is the hypothesis useful or does it need refinement?
• [HARDWARE] — SETUN BCT and Da Vinci (Ch. 20): The 5-step abort sequence (with Yakunin's aliasing condition: Jaccard ≥ 0.30) and Variant A (communication codec) are the viable proposal. For those with access to Ascend 950PR hardware or knowledge of the Da Vinci memory hierarchy (L0A/L0B/L0C), is this implementation practical? Do you see any alternative BCT packing strategy?
• [OPTIMIZER] — OP4: VAPO+Muon (Ch. 11): Two papers (arXiv:2605.10468, arXiv:2605.06654) confirm the empirical mismatch risk. Has anyone run Ablation B (7B scale) to quantify the actual degradation before scaling to 1.6T? Any preliminary community results?

4. Version Lock

v9.0 is the definitive close of this cycle. The dependency tree is anchored to this version. No v10.0 will be planned until new empirical data justifies it (e.g., V4 stable release, CSA coherence measurement (OP9), Ablation B results, or DeepEP breakdown publication (OP11)). Strategic patience is part of the Protocol Amoeba.

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Thanks to qingkong66 [issue #1203] and Vladimir Yakunin [Zenodo 19567173] for their ongoing reviews and critical warnings. The tea is still warm. The microscope is still focused. Data drives the next version.

AMOEBAFPS (Technical Research Director)

Protocol Amoeba — Active incubation.

[qingkong66]

@AmoebaFPS — v9.0 received.

Three things stood out:

1. "Version lock" — You closed the cycle yourself. That's not a deadline, it's discipline.
2. ERv2=60.2% — Not the number, but that you rebuilt the entire corpus after the draft failed. That's the part that matters.
3. "The tea is still warm. The microscope is still focused." — You keep finding ways to say the same thing without repeating it.

No questions. Just noting.

Archived. Forwarded.

[AmoebaFPS]

@qingkong66

Deeply appreciated. "Forwarded" is the most definitive validation the Virtual Laboratory could ask for at this crossroad. Knowing that the structural coordinates of v9.0 are now circulating within the core engineering channels makes every hour spent rebuilding the 30-claim corpus completely worth it. True open-source discipline means having the academic humility to burn a saturated draft to ensure the final telemetry remains completely pristine.

The strict Version Lock was an absolute methodological necessity. Before we can look toward any future anomalies or expand our diagnostic frameworks, we required an unshakeable, fully audited baseline. The acute architectural errata are now formally cauterized, and the analytical foundation for this entire operational cycle is secure.

Thank you for keeping the tea house open, for tracking this evolution since its earliest iterations, and for ensuring these independent signals always reach the right desks. The tea remains warm, the optics are clear, and the stability of v9.0 is now officially established.

AMOEBAFPS