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2. Perplexity AI - Wikipedia

   en.wikipedia.org/wiki/Perplexity_AI

   Perplexity AI is a conversational search engine that uses large language models (LLMs) to answer queries using sources from the web and cites links within the text response. [ 3 ] [ 4 ] Its developer, Perplexity AI, Inc., is based in San Francisco, California .

3. List of academic databases and search engines - Wikipedia

   en.wikipedia.org/wiki/List_of_academic_databases...

   The "Size" column denotes the number of documents (articles, publications, datasets, preprints) rather than the number of citations or references. The database itself should be the primary source of statistics, and if it is not accessible, the independent estimates released as journal papers should be.

4. AI alignment - Wikipedia

   en.wikipedia.org/wiki/AI_alignment

   Research on truthful AI includes trying to build systems that can cite sources and explain their reasoning when answering questions, which enables better transparency and verifiability. [126] Researchers at OpenAI and Anthropic proposed using human feedback and curated datasets to fine-tune AI assistants such that they avoid negligent ...

5. Semantic Scholar - Wikipedia

   en.wikipedia.org/wiki/Semantic_Scholar

   The AI technology is designed to identify hidden connections and links between research topics. [14] Like the previously cited search engines, Semantic Scholar also exploits graph structures, which include the Microsoft Academic Knowledge Graph , Springer Nature's SciGraph , and the Semantic Scholar Corpus (originally a 45 million papers corpus ...

6. Former OpenAI technology chief Mira Murati to raise capital ...

   www.aol.com/news/former-openai-technology-chief...

   Mira Murati, former chief technology officer at OpenAI, is raising funds from venture capitalists for her new AI startup, according to sources familiar with the matter. The new company aims to ...

7. What Israel's Use of AI in Gaza May Mean for the Future of War

   www.aol.com/news/israels-ai-gaza-may-mean...

   They cite “automation bias”—the presumption that information provided by AI is accurate and reliable unless proven otherwise, rather than the other way around. Abraham says his sources ...