This technical blog post provides freely accessible educational content on machine learning with minimal human rights dimensions. The content supports freedom of expression (Article 19) and education access (Article 26) through open publication and no-barrier distribution. However, structural implementation includes Google Analytics tracking without visible consent or privacy disclosure, creating mild tension with privacy rights (Article 12). Overall, the page leans slightly positive through knowledge democratization but lacks human rights awareness in privacy handling.
Looks like a Tiny Analytic transformer, RNN is arguably a better choice if you are gonna handwire an architecture to mechanically do addition. Learning is about discovering the patterns and algorithm from data. Wiring a machine to follow a procedure defeats that purpose.
I somewhat feel that using floating point arithmetic for what should be a symbol manipulation exercise is cheating. The deserialisation technique is interesting enough that I'm not really upset, though.
> The codex solution reversed the order which makes sense for making carry logic easy, but it is less clean.
That's the approach I'd have gone with. I've long been an advocate of little-endian numerical representations. That said, if there's a maximum number of digits, it's straightforward to implement the circuitry needed to do calculate the most-significant digit of the result in one go; and I somehow doubt the AI-generated solution really took advantage of the tricks that little-endian allows.
> At some point I set claude code on some debugging to my surprise I don’t recall it actually solving any of the bugs, it seemed much more concerned with “correcting” the funky things I was intentionally doing.
It baffles me that somebody capable of this kind of work would find this surprising. The process that allows LLMs to find bugs in code is the same process that entreats them to "correct" such creativity: their understanding of the world begins and ends at statistical plausibility, and they cannot truly comprehend things (though they can do a very good job of pretending, given sufficient training data).
Article 19 addresses freedom of opinion and expression. Blog platform enables author to publish technical content freely. Page uses markdown rendering and maintains author attribution, supporting expression of ideas.
FW Ratio: 63%
Observable Facts
Blog post is published and publicly accessible without editorial review or filtering requirements.
Author is clearly identified (Alex Litzenberger) with attribution metadata.
Content supports markdown rendering with LaTeX mathematical notation, enabling rich expression of technical ideas.
Page uses Schema.org BlogPosting markup, enabling content discovery and sharing.
No moderation, approval, or removal mechanisms are visible on the page.
Inferences
Platform architecture enables unfiltered publication, supporting freedom of expression.
Proper attribution and schema markup respect intellectual property and enable attribution rights.
Technical capabilities (markdown, LaTeX) support complex expression of ideas without limitation.
Article 26 addresses education and development. Technical blog post provides educational content on machine learning and transformers, contributing to technical education and human development.
FW Ratio: 57%
Observable Facts
Blog content on building transformer models provides technical education accessible to all.
No fees, registration, or authentication barriers prevent access to educational content.
Content is indexed with schema.org metadata, enhancing discoverability for learners.
Article 27 addresses participation in cultural life and intellectual property. Blog shares author's intellectual work and technical knowledge, contributing to cultural and scientific commons.
FW Ratio: 57%
Observable Facts
Author is clearly identified and credited for intellectual work via Schema.org markup.
Technical knowledge is shared freely with community without commercialization restrictions visible.
Content supports scientific understanding and technical knowledge sharing.
Last modified dates are tracked and displayed, maintaining attribution over time.
Inferences
Free sharing of technical knowledge contributes to scientific commons and cultural advancement.
Proper attribution supports recognition of intellectual contribution as per Article 27 protections.
Public blog format enables broad participation in technical culture and knowledge sharing.
Article 12 addresses privacy and protection from interference. Technical content does not directly address privacy.
FW Ratio: 63%
Observable Facts
Google Analytics code (G-7GW8V704L5) is implemented on the page with event tracking for scroll depth and outbound clicks.
No privacy policy link or cookie consent banner is visible in the provided page content.
Tracking ID is configured with send_page_view disabled but event tracking is enabled.
Scroll depth tracking captures scrolling behavior at 25%, 50%, 75%, and 100% thresholds.
Outbound link clicks are tracked with link URL and text captured.
Inferences
Absence of explicit consent mechanism suggests tracking occurs without affirmative user permission, potentially conflicting with privacy expectations.
Tracking of behavioral metrics (scroll depth, link clicks) enables detailed user profiling beyond what is disclosed.
Implementation respects localhost development environments by disabling tracking, indicating developer awareness of privacy implications but selective application.
Google Analytics tracking (G-7GW8V704L5) with scroll depth and outbound link monitoring. Disabled on localhost only. No explicit privacy policy or consent mechanism visible in page content.
Terms of Service
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No terms of service visible on page.
Identity & Mission
Mission
—
Personal blog; no organizational mission statement present.
Editorial Code
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No editorial code or standards visible.
Ownership
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Personal domain; author clearly identified as Alex Litzenberger.
Access & Distribution
Access Model
+0.10
Article 19 Article 26
Open access blog content. No paywall or registration barrier observed. Free distribution of technical knowledge.
Ad/Tracking
-0.10
Article 12
Google Analytics event tracking for user behavior (scroll depth, outbound clicks) without explicit user consent mechanism visible.
Accessibility
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Page uses semantic HTML and schema.org markup. LaTeX rendering and markdown support present. No explicit accessibility statement observed.
Platform structure supports free publication and dissemination of ideas. Open access and public availability enable wide distribution. Schema.org markup and metadata management support content discovery and proper attribution.
Open access blog structure removes barriers to technical education. Free distribution of learning content supports universal access to knowledge. Public nature enables global reach.
Public blog participation shares intellectual property with community. Author attribution (Schema.org) respects intellectual property rights. No apparent restrictions on knowledge sharing.
Open access structure and free distribution of knowledge align with commitment to universal rights principles. Google Analytics tracking without explicit consent creates minor tension with dignity principles.
Open access structure provides equal opportunity for all individuals to access knowledge regardless of socioeconomic status, supporting dignity and reason principles.
Open access without registration or identity requirements inherently removes barriers to participation based on status, race, national origin, or other protected characteristics.
Site implements Google Analytics tracking of user behavior (scroll depth, outbound link clicks) without visible consent mechanism or privacy disclosure. Tracking is granular and persistent across page views.
build 497ee5d · deployed 2026-03-01 01:20 UTC · evaluated 2026-03-01 03:10:28 UTC
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