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Research an entire sector, all at once, in a single prompt. Deep research splits each ticker into its own isolated session, so context and focus are never diluted. Powered by frontier AI models; Opus 5.5 and GPT-6 Astra, connected directly to verified financial data. Every ticker finally gets the attention it deserves.
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Research shows that the U.S. pays, on average, anywhere from three to four times as much for brand-name drugs compared with other wealthy countries. But a breaking point is imminent, one that makes government intervention to curb health care costs inevitable, experts insist.
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Research shows AI shopping assistants size up a user’s wealth in making decisions
research won’t be magically happening. DDIA still matters. i repeat. DDIA still matters a lot.
Research: OpenAI agents scanned a UN data hub 16K+ times between April and the end of June, and circumvented a filter that was blocking their requests for data (@bobmcmillan / Wall Street Journal) (Visit Techmeme dot com for the link and full context!)
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Research papers are filled with citations, but clicking on any of them makes you lose your place in the paper We made citations much easier to navigate, with extra information on hover including authors and institutions Now, you can hover over any in-text citation to instantly preview the referenced paper, jump directly to the full citation, and return to exactly where you left off with a single click This includes quick access to the authors and their organizations, so you can understand the people behind the research without breaking your reading flow Try it now on any paper at
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RESEARCH BLVD SVRD · AUSTIN · TX · FIRST SIGHTING #cybercab# #tesla# #robotaxi#
research slows down in the handoffs between tools. rosalind workbench is now in research preview: guided tasks, scientific viewers, and genomics workflows that keep your question, analysis, and evidence connected. try it:
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Research-backed message graphics and plain-language guides, free to use, adapt, and share!
Research suggests Reddit has become more negative over time, and there may be a surprisingly simple reason behind it. Researchers looked at more than 2 billion Reddit comments from over 2,000 communities. They found that the longer a community exists, the more negative it tends to become. The same thing happens in individual threads: the longer the conversation goes on, the more negative the comments get.
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