2 points by gnopercept 7 hours ago | 1 comments on HN
| TECH_ANALYSIS_NEUTRAL_POSITIVE Product
· vv3.4 · 2026-02-25
Article Heatmap
Negative Neutral Positive No Data
Aggregates
Weighted Mean
+0.21
Unweighted Mean
+0.19
Max
+0.38 Article 19
Min
+0.08 Article 13
Signal
8
No Data
23
Confidence
ND
Volatility
0.31 (Medium)
Negative
0
Channels
E: 0.5S: 0.5
SETL
-0.02
Structural-dominant
FW Ratio
52%
0 facts · 0 inferences
Evidence: High: 1 Medium: 1 Low: 6 No Data: 23
Theme Radar
Domain Context Profile
Element
Modifier
Affects
Note
Privacy
—
No privacy policy or cookie consent detected on-domain. Static content site with no data collection mechanisms observable.
Terms of Service
—
No terms of service detected on-domain.
Accessibility
+0.05
Article 2 Article 19 Article 25
Semantic HTML structure with alt-absent images/icons; WCAG contrast ratios appear adequate (dark mode, light text on dark background); no explicit skip-to-content or ARIA landmarks observed. Minor positive for structural accessibility intent.
Mission
—
Personal portfolio/analysis site; no explicit mission statement affecting UDHR interpretation.
Editorial Code
—
No editorial code of conduct or transparency statement detected.
Ownership
—
GitHub Pages personal domain; individual author (bmdragos). No corporate or institutional affiliation evident.
Access Model
+0.08
Article 19 Article 25 Article 26
Open, free access to data and analysis; no paywalls, authentication, or geographic restrictions observable. Supports information access rights.
Ad/Tracking
—
No advertising or tracking mechanisms detected on-domain.
Score Breakdown
+0.18
PreamblePreamble
Medium Framing
Editorial
+0.15
Structural
+0.12
SETL
+0.07
Combined
ND
Context Modifier
ND
Content frames AI efficiency as measurable and comparable across providers, supporting rational discourse and dignity in technological advancement. No explicit reference to human rights framework.
Observable Facts
Page subtitle states 'How much useful work does each minute of compute produce?', framing computational efficiency as a quantifiable metric.
Content compares models from three providers (Anthropic, OpenAI, Google) using consistent methodology and transparent formula.
Inferences
The focus on measurable efficiency and comparative analysis supports informed public discourse, consistent with Preamble's recognition of equal dignity.
Absence of ideological framing suggests neutrality in technical measurement, though no explicit human rights connection is articulated.
ND
Article 1Freedom, Equality, Brotherhood
No observable content directly addressing equal dignity, freedom, or reason/conscience.
+0.23
Article 2Non-Discrimination
Low Practice
Editorial
ND
Structural
+0.18
SETL
ND
Combined
ND
Context Modifier
ND
Open access without discrimination based on origin, status, or technical ability. GitHub Pages availability is non-discriminatory by design.
Observable Facts
Page is publicly accessible without authentication, payment, or geographic restriction.
Data visualization and raw data table are available to all visitors equally.
Inferences
Non-discriminatory access structure supports Article 2 principle of equal entitlement to rights without distinction.
GitHub Pages infrastructure does not implement visible gatekeeping based on protected characteristics.
ND
Article 3Life, Liberty, Security
No observable content addressing life, liberty, or security of person.
ND
Article 4No Slavery
Content does not address slavery or servitude.
ND
Article 5No Torture
No content addressing torture or cruel treatment.
ND
Article 6Legal Personhood
No content addressing right to recognition as person before law.
ND
Article 7Equality Before Law
No content addressing equality before law.
ND
Article 8Right to Remedy
No content addressing legal remedies.
ND
Article 9No Arbitrary Detention
No content addressing arbitrary arrest or detention.
ND
Article 10Fair Hearing
No content addressing fair trial or due process.
ND
Article 11Presumption of Innocence
No content addressing criminal liability or retroactive punishment.
+0.22
Article 12Privacy
Low Practice
Editorial
ND
Structural
+0.22
SETL
ND
Combined
ND
Context Modifier
ND
Open-source data and transparent methodology support privacy and autonomy in information sharing. No tracking or surveillance infrastructure detected.
Observable Facts
Page contains no tracking pixels, cookies, or analytics code that would monitor visitor behavior.
All data presented is model performance metrics, not personal information.
Inferences
Absence of surveillance mechanisms respects visitors' privacy and autonomy in accessing information.
Transparent, non-invasive data practices align with Article 12 protection against arbitrary interference.
+0.08
Article 13Freedom of Movement
Low Practice
Editorial
ND
Structural
+0.08
SETL
ND
Combined
ND
Context Modifier
ND
Open access enables freedom of movement within information space, though no explicit design for relocation or safety.
Observable Facts
Content is publicly accessible from any location with internet access.
Inferences
Non-geographically restricted access provides minimal support for freedom of information movement.
ND
Article 14Asylum
No content addressing asylum or political persecution.
ND
Article 15Nationality
No content addressing nationality or statelessness.
ND
Article 16Marriage & Family
No content addressing marriage, family, or property rights.
ND
Article 17Property
No content addressing property ownership or confiscation.
ND
Article 18Freedom of Thought
No content addressing freedom of thought, conscience, or belief.
+0.38
Article 19Freedom of Expression
High Practice Coverage
Editorial
+0.28
Structural
+0.32
SETL
-0.11
Combined
ND
Context Modifier
ND
Strong structural and editorial support for freedom of opinion and expression through open data, transparent methodology, and unrestricted information access.
Observable Facts
Page provides raw data table with all model performance metrics in machine-readable and human-readable formats.
Methodology is explicitly disclosed: formula box shows 'IY = (p50 time horizon × avg score) / working time' with full data provenance linked to METR.
No editorial gatekeeping: all frontier models included regardless of performance ranking.
Source attribution: page includes hyperlink to METR Time Horizons v1.1 dataset source.
Interactive visualizations allow users to sort, filter, and re-interpret data independently.
Inferences
Transparent methodology enables readers to verify claims and form independent opinions, supporting freedom to seek and receive information.
Open access to raw data (without login, payment, or geographic restriction) facilitates unrestricted information dissemination.
Neutral framing (no ideological spin despite different provider performance) respects freedom of expression by allowing data to speak without editorial coercion.
Inclusion of multiple providers and linking to external source demonstrates commitment to comprehensive information access.
+0.12
Article 20Assembly & Association
Low Practice
Editorial
ND
Structural
+0.12
SETL
ND
Combined
ND
Context Modifier
ND
Open access and public data structure enable assembly of viewers, though no explicit community features.
Observable Facts
Data visualization and discussion structure support public engagement without restriction.
Inferences
Transparent, accessible data structure enables informal assembly and discussion among interested parties.
ND
Article 21Political Participation
No content addressing political participation or democratic process.
ND
Article 22Social Security
No content addressing social security or economic rights.
ND
Article 23Work & Equal Pay
No content addressing work, employment, or equal pay.
ND
Article 24Rest & Leisure
No content addressing rest, leisure, or working hours.
+0.16
Article 25Standard of Living
Low Framing
Editorial
+0.12
Structural
+0.10
SETL
+0.05
Combined
ND
Context Modifier
ND
Modest contribution to informed decision-making on technology efficiency; no explicit health/wellbeing messaging, but data transparency supports educated consumption.
Observable Facts
Comparative analysis of frontier AI models presents efficiency metrics that inform technology adoption decisions.
Accessible formatting (interactive charts, sortable tables) enables diverse audiences to understand performance tradeoffs.
Inferences
Transparent efficiency analysis supports readers' ability to make informed choices about technology adoption and use.
No editorial bias toward any provider supports user autonomy in evaluating systems.
+0.18
Article 26Education
Low Practice
Editorial
+0.08
Structural
+0.12
SETL
-0.07
Combined
ND
Context Modifier
ND
Open access to technical education material supports right to education; transparent methodology enables learning.
Observable Facts
Page provides explicit formula, data sources, and interactive tools that educate visitors on AI performance measurement.
Source code is implicitly available on GitHub (page hosted on github.io domain), enabling study and reproduction.
Inferences
Transparent methodology and accessible data structure enable technical education and skill development in AI evaluation.
Free, open access supports education rights across socioeconomic boundaries.
ND
Article 27Cultural Participation
No content addressing cultural participation, copyright, or intellectual property protection.
ND
Article 28Social & International Order
No content addressing social/international order or duty.
ND
Article 29Duties to Community
No content addressing duties to community or limitation of rights.
ND
Article 30No Destruction of Rights
No content addressing interpretation or prohibition of rights destruction.