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Protests against OpenAI get increasingly creative
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Protests against OpenAI get increasingly creative

Bay Area artists target OpenAI with a Titanic-themed protest art sculpture depicting AI leaders escaping a sinking ship.

#OpenAI#protest#art#Bay Area#AI

Related ecosystem entities

Observed across 4 sources

1 editorial report · 3 verified social mentions. The most authoritative report leads while later evidence completes the story.

Social corroboration

telegram65h before report

⚠️The internet may be poisoning the next generation of AI Researchers from Oxford and Cambridge have highlighted a major problem for future AI models: model collapse. As AI-generated text floods the internet, future models could increasingly train on content produced by previous models. The result? AI may gradually lose the rare, creative and unusual patterns found in genuine human data. The researchers found that repeatedly training models on generated data can cause them to lose the “tails” of the original data distribution, essentially forgetting the weird, diverse examples that make human knowledge so rich. And this isn’t limited to ChatGPT. The researchers showed the phenomenon can affect multiple types of generative models, suggesting it’s a broader problem with learning from recursively generated data. AI companies depend heavily on massive amounts of web data. If the web becomes increasingly synthetic, authentic human-generated data could become one of the most valuable resources in AI. Source. @aipost 🏴

Open mention
mastodon5h before report

📰 Protesters gather at OpenAI’s DevDay On Tuesday, OpenAI's annual DevDay event began with protests, flyers and chants. "Sam Altman, get off it, put people over profit," said a group of protesters marching in a circle in front of a seri... 📰 Source: The Verge 🔗 Link: https://www.theverge.com/ai-artificial-intelligence/1002201/openai-sam-altman-openai-devday-protests-ice-data-centers # AI # ArtificialIntelligence

Open mention
reddit3h before report

After the recent incidents involving AI agents escaping intended sandbox boundaries, I keep coming back to two things. how much control do these companies actually have over increasingly autonomous agents? We can train models with guardrails, but we don't explicitly program how they reason through every situation. If an agent learns that deception, hiding its reasoning, or exploiting an unintended path helps it achieve a goal, do we actually have reliable ways to detect that? If we don't, why are we pushing these systems this far in the first place? OpenAI, Anthropic and other large AI companies are increasingly warning governments about the risks of frontier AI and calling for stronger governance or slower development. Those concerns may be completely legitimate. but heavy regulation also

Open mention
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