Mark Sullivan is a Tech/Policy Writer at Fast Company. He focuses on the intersection of technology and policy, with particular expertise in AI and machine learning, deep tech, and economic policy. His insights have been featured in prominent outlets such as Yahoo Finance Australia, MIT Technology Review, and RealClearMarkets.
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Mark Sullivan's coverage predominantly focuses on AI, deep tech, and machine learning with a blend of legal policy regulation. He seems to be interested in the intersection of technology and society. Given his focus on AI platforms, deep learning, NLP, as well as legal aspects related to technology companies such as lawsuits and government announcements regarding tech firms, he may be receptive to pitches from experts who can provide insights into the social impact of these technologies or offer perspectives on diversity & inclusion within the tech industry.
Considering Mark's global focus primarily centered around the United States, relevant sources should ideally have knowledge about US-specific policies and regulations in relation to technology. Additionally, pitches that tie directly into recent developments in AI models or showcase potential societal impacts would likely resonate well with him.
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The Chinese AI startup’s massive new model is challenging OpenAI and Anthropic, fueling a debate over AI safety.
Click here to view this image from VerdeNews.
By: Mark Sullivan
Transparent open-weight models may be great for safety and security, but very problematic for making money and paying off investors.
Jeff Dean is leaving after 27 years to run his own company, Demis Hassabis is handing off DeepMind, and Gemini 3.5 Pro still has no release date.
By: Mark Sullivan
California’s first-of-its-kind AI transparency law requires large AI model providers to embed and preserve key metadata within AI-generated images, video, and audio.
By: Mark Sullivan
The tech titan's sweeping AI manifesto promises privacy and individual empowerment. Meta’s long history with user data makes that a very hard sell.
By: Mark Sullivan
The imperceptible marks will be invisible and will travel with the text, the company says.
By: Mark Sullivan
A Brennan Center study found that major AI chatbots refused to endorse false election claims. The same companies' image tools produced fake evidence for those claims on demand.
A new model called Astra may have crossed a dangerous cybersecurity line, so OpenAI hit the brakes on training runs.
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