Struggling to spark meaningful conversations in your AI community? Expert insights are a proven way to educate and inspire members. Use these templates to share authoritative perspectives and invite thoughtful engagement.
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Expert Insight posts leverage the credibility and authority of recognized thought leaders, making the content instantly more trustworthy and engaging. Members are more likely to interact with posts that feature respected voices, as these provide validation and context for complex topics like AI.
By combining expert viewpoints with open-ended questions, you foster a culture of learning and critical thinking. This approach encourages members to reflect, share, and even respectfully challenge ideas, which drives deeper participation and builds a stronger sense of community ownership.
Additionally, these posts help demystify advanced AI concepts by presenting them through the lens of authority figures, making the subject matter more approachable for all experience levels.
AI expert Fei-Fei Li says 'AI is a tool, not a threat.' Do you agree with her perspective?
💡 Example: "AI expert Fei-Fei Li says 'AI is a tool, not a threat.' Do you agree with her perspective?"
Geoffrey Hinton believes deep learning is just the beginning. What advancements do you foresee?
💡 Example: "Geoffrey Hinton believes deep learning is just the beginning. What advancements do you foresee?"
Demis Hassabis says AI will accelerate scientific discovery. Has AI helped you learn something new?
💡 Example: "Demis Hassabis says AI will accelerate scientific discovery. Has AI helped you learn something new?"
Yoshua Bengio warns about AI bias. What steps do you think are most effective for reducing bias?
💡 Example: "Yoshua Bengio warns about AI bias. What steps do you think are most effective for reducing bias?"
Timnit Gebru highlights ethical concerns in AI. How important is transparency to you?
💡 Example: "Timnit Gebru highlights ethical concerns in AI. How important is transparency to you?"
Andrew Ng says 'AI is the new electricity.' What industry do you think AI will transform next?
💡 Example: "Andrew Ng says 'AI is the new electricity.' What industry do you think AI will transform next?"
Stuart Russell urges for better AI alignment. Do you believe AI can be made truly safe?
💡 Example: "Stuart Russell urges for better AI alignment. Do you believe AI can be made truly safe?"
Gary Marcus questions the limits of deep learning. What do you see as its biggest challenge?
💡 Example: "Gary Marcus questions the limits of deep learning. What do you see as its biggest challenge?"
Cassie Kozyrkov often says data quality matters more than quantity. Share your experience with data quality.
💡 Example: "Cassie Kozyrkov often says data quality matters more than quantity. Share your experience with data quality."
Yann LeCun believes open science accelerates AI. How do you contribute to open research?
💡 Example: "Yann LeCun believes open science accelerates AI. How do you contribute to open research?"
Lex Fridman says curiosity is key in AI. What keeps you curious about AI?
💡 Example: "Lex Fridman says curiosity is key in AI. What keeps you curious about AI?"
Daphne Koller emphasizes multidisciplinary teams in AI. What other fields should AI collaborate with?
💡 Example: "Daphne Koller emphasizes multidisciplinary teams in AI. What other fields should AI collaborate with?"
Ian Goodfellow is known for his work on GANs. Have you experimented with generative models?
💡 Example: "Ian Goodfellow is known for his work on GANs. Have you experimented with generative models?"
Janelle Shane explores AI's quirks and humor. What is the funniest AI output you have seen?
💡 Example: "Janelle Shane explores AI's quirks and humor. What is the funniest AI output you have seen?"
According to Pedro Domingos, every algorithm has its tradeoffs. Which tradeoff do you deal with most?
💡 Example: "According to Pedro Domingos, every algorithm has its tradeoffs. Which tradeoff do you deal with most?"
Kate Crawford discusses the social impacts of AI. How do you see AI affecting society?
💡 Example: "Kate Crawford discusses the social impacts of AI. How do you see AI affecting society?"
Nick Bostrom warns about superintelligence risks. Do you think these risks are exaggerated?
💡 Example: "Nick Bostrom warns about superintelligence risks. Do you think these risks are exaggerated?"
Shivon Zilis tracks AI trends. Which recent trend excites you most?
💡 Example: "Shivon Zilis tracks AI trends. Which recent trend excites you most?"
Richard Sutton focuses on reinforcement learning. Have you applied RL in your projects?
💡 Example: "Richard Sutton focuses on reinforcement learning. Have you applied RL in your projects?"
Sam Altman sees AI as a force for good. What positive changes have you seen from AI?
💡 Example: "Sam Altman sees AI as a force for good. What positive changes have you seen from AI?"
Yoshua Bengio suggests more collaboration between academia and industry. How can this be improved?
💡 Example: "Yoshua Bengio suggests more collaboration between academia and industry. How can this be improved?"
Dario Amodei stresses scalable oversight in AI. What does effective oversight look like to you?
💡 Example: "Dario Amodei stresses scalable oversight in AI. What does effective oversight look like to you?"
Margaret Mitchell advocates for fairness in AI. What fairness challenges do you face?
💡 Example: "Margaret Mitchell advocates for fairness in AI. What fairness challenges do you face?"
Andrej Karpathy says 'Data is the new code.' Have you found this true in your work?
💡 Example: "Andrej Karpathy says 'Data is the new code.' Have you found this true in your work?"
Fei-Fei Li emphasizes diverse datasets. How do you ensure diversity in your data?
💡 Example: "Fei-Fei Li emphasizes diverse datasets. How do you ensure diversity in your data?"
Elon Musk warns about AI safety. What is your top concern about AI's future?
💡 Example: "Elon Musk warns about AI safety. What is your top concern about AI's future?"
Andrew Ng values practical AI applications. What is your favorite real-world use of AI?
💡 Example: "Andrew Ng values practical AI applications. What is your favorite real-world use of AI?"
Ilya Sutskever says language models are just getting started. What do you hope to see next?
💡 Example: "Ilya Sutskever says language models are just getting started. What do you hope to see next?"
Turing Award winner Geoffrey Hinton says 'Brains are not computers.' How do you interpret this?
💡 Example: "Turing Award winner Geoffrey Hinton says 'Brains are not computers.' How do you interpret this?"
Timnit Gebru believes diverse teams build better AI. How do you create team diversity?
💡 Example: "Timnit Gebru believes diverse teams build better AI. How do you create team diversity?"
Gary Marcus suggests combining symbolic and neural approaches. Do you agree with this hybrid view?
💡 Example: "Gary Marcus suggests combining symbolic and neural approaches. Do you agree with this hybrid view?"
Demis Hassabis sees AI as a way to solve health challenges. What health problem could AI solve next?
💡 Example: "Demis Hassabis sees AI as a way to solve health challenges. What health problem could AI solve next?"
Jürgen Schmidhuber calls AI the most exciting tech frontier. What excites you most about AI?
💡 Example: "Jürgen Schmidhuber calls AI the most exciting tech frontier. What excites you most about AI?"
Lex Fridman says learning never stops in AI. How do you stay updated with new research?
💡 Example: "Lex Fridman says learning never stops in AI. How do you stay updated with new research?"
Stuart Russell argues for human-compatible AI. What does human-compatible AI mean to you?
💡 Example: "Stuart Russell argues for human-compatible AI. What does human-compatible AI mean to you?"
Cassie Kozyrkov says the best AI projects start with the right question. What question are you tackling?
💡 Example: "Cassie Kozyrkov says the best AI projects start with the right question. What question are you tackling?"
Yann LeCun promotes self-supervised learning. Have you tried this approach in your models?
💡 Example: "Yann LeCun promotes self-supervised learning. Have you tried this approach in your models?"
Kate Crawford says AI reflects our values. How do you ensure your AI aligns with your values?
💡 Example: "Kate Crawford says AI reflects our values. How do you ensure your AI aligns with your values?"
Daphne Koller highlights the role of data sharing in progress. Do you feel comfortable sharing your data?
💡 Example: "Daphne Koller highlights the role of data sharing in progress. Do you feel comfortable sharing your data?"
Sam Altman says 'The future belongs to those who build it.' How are you shaping the future with AI?
💡 Example: "Sam Altman says 'The future belongs to those who build it.' How are you shaping the future with AI?"
Margaret Mitchell believes in responsible AI development. What does responsibility mean for your work?
💡 Example: "Margaret Mitchell believes in responsible AI development. What does responsibility mean for your work?"
Geoffrey Hinton reminds us 'The brain is still the best AI.' What can we learn from biology?
💡 Example: "Geoffrey Hinton reminds us 'The brain is still the best AI.' What can we learn from biology?"
Yoshua Bengio emphasizes lifelong learning in AI. How do you keep your models evolving?
💡 Example: "Yoshua Bengio emphasizes lifelong learning in AI. How do you keep your models evolving?"
Start by selecting templates that align with your community's interests and current discussions. Customize the expert names or quotes to fit your audience, ensuring they are relevant and up-to-date. Post regularly but avoid overuse to keep insights fresh and impactful. Encourage replies by tagging members or sparking debates, and consider following up with summaries or highlights from the discussion. Rotate the featured experts to showcase diverse perspectives in AI.
Since these templates are designed for all platforms, tailor the length and format to your specific channel. For forums or Slack, use concise blocks and tag relevant members. On social media, pair the quote with an eye-catching image or hashtag. In email newsletters, highlight the expert's background and invite direct replies. Always encourage respectful debate and ensure every member feels comfortable participating.
Aim for once or twice a week to keep discussions fresh and avoid overwhelming your community.
Yes, but ensure the expert is relevant to your audience and always provide proper attribution.
Always include a clear question or call to action. Tagging active members can also boost participation.
Encourage respectful debate and remind members that differing perspectives help everyone learn.
Adding a brief personal perspective or context can make the post feel more authentic and relatable.
Select experts whose work matches your community's interests or current discussions for the most engagement.
Yes, just tailor the language and expert selection to fit your audience's experience level.