Skip to content

The Sanctity of Access

By glitchdata Team 2 min read

The collective store of knowledge has been generated by human in forums, reddit, stackoverflow, websites, Wiki, and search engines. We have used this to train ChatGPT. Since GPT4, the generation of knowledge is moving from the public-sphere into a direct private chat. This is a problem.

So the generation and capture of knowledge is now privately sourced and pooled into a Machine by-passing the human public domain.

Where will the next AI model get its training data from? GPT-Next will be trained on legacy data.

This raises multiple questions related to Ethics, the sanctity of Data Access, and an increasing importance to legislate for public data.

AI will become a dominant source of knowledge simply by virtue-of-growth. It depends on training data which could become unavailable, or monopolised, or licensed by a chatbot.

Trusting the output from AI is just as alarming. If we lose access to the training data, and propagate AI outputs we will lose the collective memory of human-generated thinking and lose the ability to validate AI. Just like search, humanity will be told what to think, how to think, and programmed by AI.

So to avoid a dangerous feedback loop, we need to individually, and collectively support (and extend) the public domain.

More news

News 3 min read

Your Account Is Yours, and So Are the Numbers

A new Insights page reports your downloads, likes, progress and quiz results, with CSV exports of all of it. Alongside it: account settings, a forgotten-password link that actually exists, and a notification when an admin reviews your work.

News 2 min read

One Search Box, and a JSON API for Everything Public

Search now covers datasets, models, courses, guides and news from a single box. Everything a signed-out visitor can read is also available as JSON, with no key and nothing to sign up for — plus RSS feeds and a sitemap.

News 2 min read

Quizzes, Certificates and Reviews for Every Course

Lessons can now end with a quiz you have to pass to finish them, courses issue a shareable certificate when you reach the end, and the learners who took a course can say what it was worth.