liveBook · Manning

Responsible disclosure

As explained in Sutskever's List

Responsible disclosure is a practice of limiting or sequencing the release of potentially harmful technology while risks and safeguards are assessed.

Responsible disclosure limits or sequences the release of potentially harmful technology while risks and safeguards are assessed. GPT-2 marked a turning point: OpenAI judged its capabilities and misuse risks significant enough to depart from normal open release. section 1.2

The GPT-2 release

OpenAI published a research paper and released a 124-million-parameter model, but withheld the full model, training data, and code. It cited risks including misleading news, impersonation, abusive or fake social content, spam, and phishing. The decision signaled a more selective strategy, anticipated by a charter change emphasizing that safety and security concerns could reduce traditional publication. section 1.2

How Sutskever's List covers it

How deep it goes
Explains the practice through one release decision, its withheld artifacts, stated misuse scenarios, and institutional rationale.
Examples
Uses GPT-2’s 124-million-parameter release, withheld model and data, and projected misinformation, impersonation, spam, and phishing risks.
What you can do after
Evaluate release strategies by comparing capability, misuse risk, publication benefits, and available safeguards.
How it connects
Connects selective release with open publication, scaling laws, emergent behavior, and AI safety, policy, and standards research.
Cover of Sutskever's List
liveBookmanning.com
Read Sutskever's List on liveBook Get the book at manning.com

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Sutskever's List. The section links point to the parts of the book it draws on.