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The arrival of Google's Gemini Deep Research model raised concerns about the future of journalism, but it has become clear that AI won't replace journalists or PhDs soon. These AI tools can assist in researching complex topics and finding relevant information across different fields, yet they still struggle with context and deep insights into controversial subjects. The limitations of these tools highlight the ongoing need for human expertise in journalism and research.
Despite their potential, AI tools often prioritize lower-quality sources over credible expert opinions, which can lead to misinformation. For instance, while researching quantum security, it was evident that AI tools failed to cite significant works from leading experts. The integration of AI into research processes must improve to enhance the quality of information and support rather than replace human writers.
• AI tools struggle with context and deep insights into complex topics.
• Credible sources are often overlooked in favor of lower-quality content.
Generative AI refers to algorithms that can create content, but they often lack contextual understanding.
Quantum computing is a complex field that AI tools struggle to analyze accurately due to its nuances.
Deep research tools are AI applications designed to assist in information sourcing but often miss critical insights.
Google's Gemini Deep Research model aims to enhance information retrieval but has limitations in context.
OpenAI's tools have shown some capability in linking to credible sources, such as NIST analyses.
Isomorphic Labs, the AI drug discovery platform that was spun out of Google's DeepMind in 2021, has raised external capital for the first time. The $600
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Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.
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