Draft:Ritvik Nayak
Submission declined on 29 December 2024 by DoubleGrazing (talk). This submission is not adequately supported by reliable sources. Reliable sources are required so that information can be verified. If you need help with referencing, please see Referencing for beginners and Citing sources. This submission's references do not show that the subject qualifies for a Wikipedia article—that is, they do not show significant coverage (not just passing mentions) about the subject in published, reliable, secondary sources that are independent of the subject (see the guidelines on the notability of people). Before any resubmission, additional references meeting these criteria should be added (see technical help and learn about mistakes to avoid when addressing this issue). If no additional references exist, the subject is not suitable for Wikipedia.
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
|
Submission declined on 30 October 2024 by KylieTastic (talk). This submission's references do not show that the subject qualifies for a Wikipedia article—that is, they do not show significant coverage (not just passing mentions) about the subject in published, reliable, secondary sources that are independent of the subject (see the guidelines on the notability of people). Before any resubmission, additional references meeting these criteria should be added (see technical help and learn about mistakes to avoid when addressing this issue). If no additional references exist, the subject is not suitable for Wikipedia. This submission is not adequately supported by reliable sources. Reliable sources are required so that information can be verified. If you need help with referencing, please see Referencing for beginners and Citing sources. Declined by KylieTastic 2 months ago. |
- Comment: Please remove all inline external links from body text; convert to citations where relevant. There should be no links pointing to external resources until the footnotes in the 'References' section. DoubleGrazing (talk) 10:22, 29 December 2024 (UTC)
- Comment: Referenced almost entirely with user-generated sources (Medium, LinkedIn, Twitter, YouTube), which are not considered reliable. DoubleGrazing (talk) 10:21, 29 December 2024 (UTC)
- Comment: blogs such as medium.com are very rarely independent reliable sources - see WP:MEDIUM KylieTastic (talk) 12:35, 30 October 2024 (UTC)
Ritvik Nayak
[edit]Ritvik Nayak (born 7 March 2013) is an Indian scientific researcher known for his research in the field of computer science and mathematics, particularly in artificial intelligence and machine learning. Despite his young age, Nayak has made significant contributions to the fields by writing and publishing research articles across various publications on the popular online writing and publishing platform Medium. In doing so, he has accumulatively garnered upwards of 1,000 followers.[1]
Scientific Research
[edit]Nayak first began writing research articles on the online writing and publishing platform Medium as of 28 June 2024 (when his first research article was published).[2] However, Nayak also writes research articles on mathematical concepts as well, such as his article on Fermat's Last Theorem [3] and the Hodge Conjecture [4]. Due to his extensive knowledge in the field of artificial intelligence, Nayak was selected as one of the primary speakers for a panelist event about AI in mid-2024 titled 'The Future of AI: Democratizing AI Across Disciplines'. [5][6]
Mentions And Features
[edit]Some of Nayak's research articles have been mentioned by other people and organizations as well. For instance, his viral article 'Teaching AI to Think Like A 6ᵗʰ Grader and Learn Like A Child' (originally published on medium.com December 2, 2024) was posted by the HalfEatenMind News Agency (H.E.M News Agency) on the social media platform Twitter (also known as X).[7] Additionally, the same research article was posted on Twitter by professor of pediatric surgery - Sergei Minaev.[8] Another one of Nayak's viral articles titled - 'How AI Can Read Way Better than Humans Ever Will…' (originally published on medium.com on December 14, 2024) was also posted by the HalfEatenMind News Agency (H.E.M News Agency) on Twitter.[9] This exact article was featured in a post by an organization named 'Integrated Virtual Systems' [10] and B. Lee Jones on the popular networking website - LinkedIn [11].
References
[edit]- ^ "About – Ritvik Nayak". Medium. Retrieved 2024-10-30.
- ^ Nayak, Ritvik (2024-06-30). "The Cosmic Microwave Background Radiation: The Looking-Glass of the Past". The Quantastic Journal. Retrieved 2024-10-29.
- ^ Nayak, Ritvik (2024-10-02). "Fermat's Last Theorem: The 350-Year-Old Mathematical Drama That Finally Ended". Medium. Retrieved 2024-10-29.
- ^ Nayak, Ritvik (2024-08-13). "Decoding the Hodge Conjecture — A Million Dollar Math Problem". Operations Research Bit. Retrieved 2024-10-29.
- ^ Tang, Shunyu (Andy) (2024-09-13). "The Future of AI: Democratizing AI Across Disciplines". Medium. Retrieved 2024-10-30.
- ^ Medium (2024-09-13). The Future of AI: Democratizing AI Across Disciplines | AI Advances | Medium Day 2024. Retrieved 2024-12-29 – via YouTube.
- ^ mind, halfeaten (December 7, 2024). "HEM News Agency on X: Teaching AI to Think Like A 6ᵗʰ Grader and Learn like a Child by Ritvik Nayak". x.com. Retrieved December 29, 2024.
- ^ Minaev, Sergei (December 5, 2024). "Sergei Minaev on X: "Teaching AI to Think Like A 6ᵗʰ Grader and Learn like a Child"". x.com. Retrieved December 29, 2024.
- ^ mind, halfeaten (December 19, 2024). "HEM News Agency on X: "How AI Can Read Way Better than Humans Ever Will... by Ritvik Nayak". x.com. Retrieved December 29, 2024.
- ^ "Integrated Virtual Systems on LinkedIn: How AI Can Read Way Better than Humans Ever Will…". www.linkedin.com. Retrieved 2024-12-29.
- ^ "B. Lee Jones 李琼斯 ,MBA on LinkedIn: How AI Can Read Way Better than Humans Ever Will…". www.linkedin.com. Retrieved 2024-12-29.