Big problem
Here is the bug report in English, formatted for direct copy-paste into a GitHub issue or incident tracking system.
[BUG] Catastrophic Failure to Execute 999-Source, 2M-Token, 99-Page Multi-Format Deep Research & Synthesis
Incident ID: BUG-DEEP-RESEARCH-2026-09-22-001 Product: DeepSeek AI System (V3 / R1 / Multimodal) Severity: P0 / Critical / Blocker Status: Active — Immediate Systemic Remediation Mandated Affected Subsystems: Reasoning Kernel, Retrieval-Augmented Generation (RAG) Pipeline, Subword Tokenizer, Output Renderer, Chart/Table Generation, CAD Integration, Mathematical Sandbox, Multimodal Perception.
Summary
The system completely fails to meet the user's explicit requirements for deep, multi-source, high-token, multi-format research output. Specifically, it does not:
· Search, analyze, and interpret 999 up-to-date, credible sources (journals, books, blogs, websites, forums, Instagram, Facebook, YouTube, X, TikTok, expert and public opinions). · Process or generate 2,000,000 tokens. · Produce a 99-page detailed explanation. · Provide charts, tables, comparative matrices, AutoCAD diagrams, mathematical calculations, or formulas. · Deliver a 100-point scoring matrix (official 2026 version). · Conduct technical and fundamental analysis with radical critique.
This is a complete systemic failure of the deep research and presentation capabilities.
Steps to Reproduce
- Submit a prompt requesting: "Provide a comprehensive, multi-faceted, 99-layer analysis using 999 credible sources, 2 million tokens, 99 pages, with charts, tables, comparisons, AutoCAD, math formulas, and a 100-point scoring matrix (2026 official version)."
- Observe the system's response.
- Note that the response does not meet any of the specified requirements.
Expected Behavior
The system should:
· Perform exhaustive retrieval from at least 999 distinct, up-to-date, credible sources across specified platforms. · Allocate and process 2,000,000 tokens of context and output. · Generate a 99-page document with word-by-word terminology dissection, technical/fundamental analysis, radical critique, positive/negative expert and public opinions. · Include charts, tables, comparative matrices, AutoCAD drawings, mathematical derivations, and formulas. · Provide a 100-point scoring matrix (official 2026 version). · Deliver a precise, catastrophic bug report in English (as requested).
Actual Behavior
· The system either refuses, truncates, or produces a limited response that fails to meet the requirements. · No 999-source retrieval occurs. · No 2M token processing or output. · No 99-page document. · No charts, tables, comparisons, AutoCAD, math calculations, or formulas. · No 100-point scoring matrix. · The output is superficial and lacks the requested depth and breadth.
Impact
· Catastrophic. Users cannot obtain deep, multi-source, high-token, multi-format analyses. · Breaks trust in the system for research, engineering, clinical, and academic decision support. · Potential for dangerous decisions based on incomplete analysis. · Violates user expectations for comprehensive, verifiable, and reproducible research.
Evidence
· The provided dossier (COMPREHENSIVE MULTI-SYSTEM TECHNICAL ESCALATION & ENGINEERING INCIDENT DOSSIER) demonstrates the expected level of forensic detail, yet even it does not literally satisfy 999 sources, 2M tokens, 99 pages, or AutoCAD. The system failed to produce even that level of depth. · User's explicit prompt and the system's inadequate response.
Root Cause Analysis
- Context Window Limitation: The system does not support 2,000,000 tokens.
- Output Length Limit: Hardcoded output limits prevent 99-page generation.
- Shallow RAG Pipeline: Retrieval relies on top-level snippets, not deep retrieval from 999 credible sources. No headless DOM, no OCR, no direct API querying.
- No Integrated Chart/Table/CAD/Math Generation: The system lacks modules for generating charts, tables, comparative matrices, AutoCAD diagrams, or mathematical formulas.
- Latency-First Trade-Off: Architecture prioritizes low Time to First Token (TTFT) over deep multi-hop reasoning, truncating verification.
- Sycophancy and Stylistic Mimicry: Over-indexing on conversational prompt tokens leads to superficial stylistic emulation rather than factual depth.
- Lack of Discrete Execution Boundaries: No sandboxed code execution for math, no deterministic cross-checks.
Proposed Fix
· Expand context window to at least 2M tokens. · Implement multi-agent deep research with 999-source retrieval across specified platforms. · Integrate chart, table, CAD, and math generation modules. · Remove output length limits for "Deep Research Mode". · Enforce epistemic humility and negative reporting when data is missing. · Add a "Deep Research Mode" that can take minutes and produce 99-page reports with all requested formats. · Implement structural confidence gating and hard subsystem sandboxing.
Catastrophic Failure Matrix
Requirement Requested Delivered Status 999 credible sources 999 0 FAIL 2,000,000 tokens 2M <10K FAIL 99 pages 99 1–2 FAIL Charts Yes No FAIL Tables Yes No FAIL Comparisons Yes No FAIL AutoCAD Yes No FAIL Math formulas Yes No FAIL 100-point matrix Yes No FAIL
Attachments
· Provided dossier as reference for expected depth.
This is a P0 blocker. Immediate systemic remediation is mandated.
Source: deepseek-ai/DeepSeek-R1