Carson Kahn

“GPT-2 [and GPT-3] are large-scale unsupervised machine learning-based language models that generate coherent paragraphs of text, first announced by OpenAI in February 2019. We developed four variants of the model, ranging in size from small (124 million parameters) to large (~1.5 billion parameters). We chose a staged release process, releasing the smallest model in February, but withholding larger models due to concerns about the potential for misuse, such as generating fake news content… Show more

“GPT-2 [and GPT-3] are large-scale unsupervised machine learning-based language models that generate coherent paragraphs of text, first announced by OpenAI in February 2019. We developed four variants of the model, ranging in size from small (124 million parameters) to large (~1.5 billion parameters). We chose a staged release process, releasing the smallest model in February, but withholding larger models due to concerns about the potential for misuse, such as generating fake news content, impersonating others in email, or automating abusive social media content production. We released the 355 million parameter model in May as part of a staged release process. We released our 774 million parameter model in August with a six-month follow up announcement, and we are now releasing our 1.5 billion parameter model. This report discusses OpenAI’s work related to staged release of large models, partnership-based research, and broader issues in responsible publication that the AI community will need to address.” Show less

“While numerous recent advancements in all aspects of research, development and
deployment of AI systems are well-publicized, security issues related to AI are
rarely addressed. Aiming to mitigate this fundamental problem, this is the first textbook
dedicated to addressing challenges of constructing secure machine intelligence. It is comprised of work from leading AI Safety & Security researchers and reviewers addressing different aspects of the AI control problem as it relates to the… Show more

“While numerous recent advancements in all aspects of research, development and
deployment of AI systems are well-publicized, security issues related to AI are
rarely addressed. Aiming to mitigate this fundamental problem, this is the first textbook
dedicated to addressing challenges of constructing secure machine intelligence. It is comprised of work from leading AI Safety & Security researchers and reviewers addressing different aspects of the AI control problem as it relates to the development of secure solutions. Key topics include:

—Adversarial machine learning
—Bad agents
—Explainability
—Reward engineering
—Self-improvement in AI
—Security and control
—Validation and verification
—Weaponization and military applications” Show less

“This study examines the effects of three disruptive trends presently transforming content-delivery media and markets through in the context of global consumer behavior. As relevant to six “content segments,” or content-oriented submedia—viz., newspapers, books, music, broadcasting, cable television and cable networks—the paper sequentially addresses the forces of dematerialization, a consumer-driven shift from the proprietorship of objects to access to digital data; disaggregation, a… Show more

“This study examines the effects of three disruptive trends presently transforming content-delivery media and markets through in the context of global consumer behavior. As relevant to six “content segments,” or content-oriented submedia—viz., newspapers, books, music, broadcasting, cable television and cable networks—the paper sequentially addresses the forces of dematerialization, a consumer-driven shift from the proprietorship of objects to access to digital data; disaggregation, a provider-driven shift from infrastructural content delivery to an à-la-carte platform model; and defocusing, an industry-driven swing from attention-centric, narrow-outlet media to integrated, polysource multimedia delivery systems. The examination invokes real-world enterprise and consumerist examples of fruitful and fruitless attempts to dematerialize, disaggregate, and defocus mainstream content media, including those of Apple, Google, Netflix, and News Corp.’s iPad e-newspaper app The Daily. This meta-analysis is augmented by the author’s own interviews with and published materials by established experts in related fields, including Dr. Paul de Sa, Chief of the Office of Strategic Planning and Policy Analysis of the United States Federal Communications Commission, Mark Harrison, a social media evangelist employed by Google, and Frank Chimero, adjunct professor of design and technology studies at Portland State University. The author’s own infographic design and some data visualization will graphically support cases cited throughout the essay. The exploration constitutes a reasonable survey of the trends, behaviors and forces that stem from and drive forward the so-called ‘3 Ds’ of content delivery media and its consumers. The most effective facets of the analyses hinge on a holistic, psychosocial and technological approach, in addition to the expectable financial, economic and consumer elements.” Show less