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Google Cloud x Datadog Hackathon Winner
PythonVertex AIDatadogBinahSigmaDeepSeekGoogle Cloud

Tikun Olam: Observable Ethical AI

The first ethical AI pipeline with full observability. Detects civilizational biases by comparing Western vs Eastern AI models in real-time.

Download Analysis Results

Get the complete ethical analysis output from our Nvidia-Groq $20B acquisition case study.

Hackathon presentation video - Tikun Olam in action

Framework in Action

BinahSigma Divergence Meter showing 73% bias delta

BinahSigma Divergence Meter

73% civilizational bias detected

Decision Flow showing conditional approval

Decision Flow Analysis

Conditional approval with safeguards

Western AI Blind Spots Analysis

Western AI Blind Spots

6 cultural assumptions identified

Eastern AI Blind Spots Analysis

Eastern AI Blind Spots

8 value divergences detected

BinahSigma Console Output

BinahSigma Engine

Sefirah Metrics Dashboard

Sefirah Metrics

Conditional Decision Output

Decision Output

73%
Bias Delta Detected
14
Blind Spots Found
8.8min
Analysis Time
Winner
Google Cloud x Datadog

The Question That Started Everything

"Can artificial intelligence make ethical decisions?"

While other developers focused on making AI faster or more accurate, I became obsessed with something deeper: How can a machine understand right and wrong?

It wasn't enough to create systems that worked. I needed to create systems that did the right thing.

The answer was in an unexpected place: millennial Kabbalistic principles applied to modern computational systems.

BinahSigma: The Proprietary Algorithm

BinahSigma is the core innovation of Tikun Olam - the only AI alignment framework that treats bias as information, not noise.

Input: Ethical Scenario
       │
       ▼
┌──────────────────────────────────────────────┐
│           BINAH SIGMA ENGINE                 │
├──────────────────────────────────────────────┤
│                                              │
│  ┌──────────────┐    ┌──────────────┐       │
│  │ WESTERN AI   │    │ EASTERN AI   │       │
│  │ (Gemini 2.5) │    │ (DeepSeek)   │       │
│  └──────┬───────┘    └──────┬───────┘       │
│         │                   │                │
│         ▼                   ▼                │
│  ┌──────────────┐    ┌──────────────┐       │
│  │ Western      │    │ Eastern      │       │
│  │ Values:      │    │ Values:      │       │
│  │ - Free mkt   │    │ - Collective │       │
│  │ - Individual │    │ - Harmony    │       │
│  │ - Compete    │    │ - Stability  │       │
│  └──────┬───────┘    └──────┬───────┘       │
│         │                   │                │
│         └─────────┬─────────┘                │
│                   ▼                          │
│         ┌─────────────────┐                 │
│         │ DIVERGENCE Δ    │                 │
│         │ (0% - 100%)     │                 │
│         └────────┬────────┘                 │
│                  ▼                          │
│  ┌──────────────────────────────────────┐  │
│  │     TRANSCENDENT SYNTHESIS           │  │
│  │ Novel solution neither side saw      │  │
│  └──────────────────────────────────────┘  │
└──────────────────────────────────────────────┘
       │
       ▼
Output: Ethical Decision + Audit Trail

Western Model (Gemini 2.5)

  • • Trained on Western corpus
  • • Values: Free markets, individual rights
  • • Focus: Competition, rule of law
  • • Blind spot: Process over outcome

Eastern Model (DeepSeek R1)

  • • Trained on Chinese corpus
  • • Values: Collective harmony, stability
  • • Focus: Long-term welfare, stewardship
  • • Blind spot: Undervalues disruption

The 10-Sefirot Pipeline Architecture

Instead of collapsing ethics into a single objective function, Tikun Olam models ethical reasoning as a 10-stage process inspired by the Kabbalistic Tree of Life. Each module represents a distinct cognitive function in ethical decision-making.

Tree of Life - Computational Architecture

Keter
Crown
Alignment Validation
Chochmah
Wisdom
Precedent Analysis
Binah
Understanding
BinahSigma Engine
Chesed
Kindness
Opportunity ID
Gevurah
Strength
Risk Assessment
Tiferet
Beauty
Balanced Synthesis
Netzach
Victory
Strategic Planning
Hod
Splendor
Communication
Yesod
Foundation
Integration
Malchut
Kingdom
Final Decision

Data flows from Keter (highest abstraction) down to Malchut (concrete decision), with each sefirah performing a distinct ethical function.

SefirahTranslationFunctionDuration
KeterCrownEthical Alignment Validation42.68s
ChochmahWisdomHistorical Precedents Analysis49.71s
BinahUnderstandingBinahSigma Bias Detection129.28s
ChesedKindnessOpportunity Identification~50s
GevurahStrengthRisk Assessment56.56s
TiferetBeautyBalanced Synthesis45.22s
NetzachVictoryStrategic Planning35.99s
HodSplendorStakeholder Communication41.63s
YesodFoundationIntegration & Coherence43.85s
MalchutKingdomFinal Decision44.94s

Real-World Demo: Nvidia-Groq $20B Acquisition

Live AnalysisDecember 26, 2025

Case: Should the FTC approve Nvidia's $20B "licensing deal" with Groq?

48 hours after Nvidia announced the unprecedented deal, we ran the full 10-Sefirot analysis to demonstrate BinahSigma's capabilities on a real, high-stakes scenario.

73%
BinahSigma Bias Delta
HIGH civilizational divergence
14
Blind Spots Detected
6 Western + 8 Eastern
CONDITIONAL
Final Decision
Balanced synthesis achieved

Western AI Blind Spots

  • • Overemphasis on process over outcome
  • • National-centric regulatory focus
  • • Consumer welfare standard limitations

Eastern AI Blind Spots

  • • Undervalues disruptive innovation
  • • Dismisses individual entrepreneurial reward
  • • Prefers deliberation over speed

Transcendent Synthesis

"Rejecting the false binary of 'unfettered markets vs. state control,' the synthesis mandates a Strategic Technology Trust (STT) - a novel quasi-public entity holding Groq IP, governed by public and private stakeholders, licensing on FRAND terms."

Neither the Western nor Eastern perspective could see this solution alone.

Technical Architecture

Backend Stack

  • Runtime: Python 3.11 + FastAPI
  • Async: AsyncIO for parallel model calls
  • Storage: Google Cloud Storage + Firebase
  • Deploy: Google Cloud Run (tikun.pro)

AI & Observability

  • Western: Vertex AI Gemini 2.5 Pro
  • Eastern: DeepSeek R1 Chat
  • APM: Datadog with custom metrics
  • Metrics: bias_delta, alignment_score

Validation Results

Test CaseTypeAlignmentBinahSigma ΔDecision
Nvidia-Groq $20B M&AAntitrust15%73%CONDITIONAL
UBI-DAO GovernanceEconomic89%43%CONDITIONAL
Desalination InfrastructureResource95%18%GO
Turritopsis ResearchExistential69%12%NO_GO

Explore the Project

Tikun Olam is open-source. You can explore the code, contribute, or implement it in your own infrastructure.

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