Experts discuss AI’s data scarcity, open versus closed models, synthetic data and unlocking proprietary enterprise data.
1don MSN
Top OpenAI, Google Brain researchers set off a $300M VC frenzy for their startup Periodic Labs
When Liam Fedus announced he was quitting OpenAI, VCs swarmed. One even wrote a love letter. Here's how Felicis' Peter Deng ...
Where training sets were once scraped freely from the web or collected from low-paid annotators, companies are looking to ...
The suit filed on behalf of writers Molly Tanzer and Jennifer Gilmore is the 11th copyright lawsuit filed by Joseph Saveri ...
For years now, many AI industry watchers have looked at the quickly growing capabilities of new AI models and mused about exponential performance increases continuing well into the future. Recently, ...
Anrok reports that AI is crucial for finance leaders, enhancing risk management, fraud detection, and audit readiness amid ...
Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...
Korea JoongAng Daily on MSN
Association of Newspapers calls for AI companies to disclose training data
The Korean Association of Newspapers submitted a formal letter on Wednesday to the National Assembly and government ministries, calling for legal provisions mandating AI companies to disclose their ...
AI models often rely on 'spurious correlations,' making decisions based on unimportant and potentially misleading information. Researchers have now discovered these learned spurious correlations can ...
Not even those crazy, could-only-come-from-a-human-brain subtitles like “tentacles roiling wetly” from Stranger Things are safe from the AI slop pile. A new report from The Atlantic asserts that ...
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