Elicit
@elicitorg
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The AI research assistant https://t.co/04vRTWtqEA • Demos https://t.co/IqWcqcVn1Z • Jobs https://t.co/6Lxhl2kNu7
Joined October 2020
We raised a $22M Series A and are launching Elicit Reports, a better version of Deep Research for actual researchers. Elicit Reports are available for everyone to try right now, for free. 👇
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1/ Announcing our spinoff from @oughtinc into a public benefit corporation, our $9 million seed round, and a much more powerful Elicit!. This new Elicit takes the components of the popular literature review workflow and extends them to automate more research workflows.
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Introducing Elicit Notebooks! . Notebooks take your research broader & deeper, all on one page. You can now:.- Run multiple queries on the same page.- Combine papers across the Elicit database & your uploads.- Combine papers across queries.- Chat with papers.- Select papers to
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Introducing Elicit Systematic Reviews!. Elicit now supports automated search, title & abstract screening, and data extraction, all in one step-by-step flow. We built this to accelerate power researchers without asking them to sacrifice control. You can do the whole thing
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Language model-based tools are new technologies with exciting potential but some current limitations. This is V0 of sharing how Elicit works & where it doesn't so that researchers know how to integrate it into their workflows and what to expect from it.
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We’ve completely overhauled Elicit’s semantic search!. Quality has almost doubled in some cases - Elicit search results will now contain 78% more relevant papers, if you are searching for papers for a systematic review. Across all Elicit searches, you will find 40% more relevant
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🚨 We completely overhauled our pricing! We now offer an UNLIMITED FREE TIER that is the most generous of any research tool. Searches, summaries, and chats are completely free and completely unlimited, every single month. We also launched Elicit Pro, a new plan specifically
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1/ We’ve seen some of Elicit’s competitors rush ahead with the deployment of the DeepSeek’s R1 model and we’d like to explain why we’ve been a bit more cautious so far.
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Elicit is surging in popularity!. We've just had a big influx of new users in the last couple of hours 👋. Unfortunately, that means we've started hitting our rate-limits with some underlying service providers, causing slowness and some timeouts.
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1/ Elicit Reports are the best way to understand the state of science. 17 PhD researchers methodically evaluated AI research tools for this use case. (Elicit Reports don't try to help with travel or finance.). Overall, Elicit Reports outperformed all other tools.
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Last week we launched Elicit Reports and claimed they provide the best research overviews for actual researchers -- better than other "Deep Research" tools. Today, we’d like to share the methodology and data behind this claim. 🧵
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1/ Elicit now uses a custom-built semantic search engine that searches over 175 million titles and abstracts. This engine finds papers that are relevant to your query even if there is no keyword match. (The previous model was a keyword-semantic hybrid).
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4/ Elicit Reports are built differently from other Deep Research tools. They follow the systematic review process, the gold standard of research synthesis. They start by casting a broad net of possibly relevant papers (up to 500 from an initial pool of 125 million). Then they.
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Elicit Plus now uses tables from papers for viewing & extracting data!. 🧵
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While helping teams with systematic reviews and data extraction, we compared Elicit's accuracy to manual work by trained research assistants and staff (whatever the status quo was). For a fraction of the time and cost, we were able to significantly improve accuracy. We're hoping
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One underrated workflow in Elicit: build out a literature review starting from 1 paper. Instead of copying & pasting references or dealing with tab explosion as you're reading, you can collect a bunch of papers, then organize your "read next" list.
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11/ We prioritize good process and transparency because this is necessary for trusting AI in high-stakes contexts. Read about our plan to become the most trusted AI platform for high-stakes, evidence-backed decisions:
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We're collecting datasets that researchers have tagged – like categorizing survey responses or types of AI orgs – to make a new NLP benchmark. If you want to advance ML research for tasks people care about and have a dataset to share, let us know!
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2/ The PhD evaluators estimated that Elicit would save them significantly more time than any other product.
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🚨 Exciting news! We just launched the biggest shift in how you can use Elicit with your colleagues and friends to date. Introducing: Sharable Notebooks! 🎉.
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To make sure Elicit delivers the most trustworthy research results, we must constantly evaluate it, and we must do that *at scale*. In this post @etiennefd describes how we evaluate LLM output, the tradeoffs between trust, scale, and flexibility and how we find our way around
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3/ Here's the kind of report you can generate with just the question. "What are the effects of microplastic exposure during pregnancy?".
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We're continually working to put new search technologies to work for you. Our infrastructure engineer @VivaLaPanda_ walks through many of the traditional and machine learning approaches to semantic search in our latest blog post:
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5/ Because Elicit follows this systematic process, you can check the results at every intermediate step. You can see why a paper was included, and why another one wasn’t.
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Lastly, we're thrilled to be adding @fiftyyears @BasisSet @Julian @MythosVentures, Illusian, @arashf @mojombo @blakeweb @JeffDean @noahdgoodman @bentossell @labenz and other incredible angels to our team.
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8/ Unlike other Deep Research tools, Elicit cites every claim with exact quotes from the original source. Others may link sources, but they don’t tell you word for word where to check the information (and sometimes misquote sources).
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🚨 We’ve substantially improved Elicit’s answers across the app:..- Summaries of top papers now have 78% fewer errors.- Abstract summaries better follow your query with 88% fewer errors .- Standard custom columns now have 37% fewer errors than before..All the features above.
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2/ You can now upload up to 100 of your own papers to extract data from. Great for automating the screening or extraction steps of systematic reviews and meta-analyses.
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7/ Then, *extend* the report. You can chat with the report and its underlying data to:. - Go deeper on a specific paper.- Summarize studies along different dimensions.- Get more detail around a specific claim or methodology
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6/ In fact, you can *change* every step of the process. Add papers that Elicit missed. Change the screening criteria to include different, or more papers. Come back in 3 months and update the whole thing with new papers. Elicit will store every version of the report for you.
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Can AI help with systematic reviews?. A team at Australia's national science agency @CSIRO found AI tools are getting better than human researchers at data extraction, the most laborious step in systematic review. Elicit outperformed ChatGPT. Details in 🧵:
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4/ The most computationally intensive new workflow is "List of concepts.". "List of concepts" searches across 200MM+ papers, finds examples of what you're looking for in each paper, then groups papers by concept. You can create lists of:.- Datasets for medical imaging
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Together with @huggingface we're launching the RAFT benchmark to test the few-shot capabilities of language models on real-world tasks 📊. If you perform well, we may implement your solution in Elicit to help researchers! . Find out more at
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9/ When you share a report, you don't just share the final text. You share the data and process used to generate it. This is how we want AI to transform research, beyond automating it. Scientific artifacts should contain the full process and underlying data used to generate the
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Bet suggestion: If Biden gets between 328 and 382 electoral college votes, @FiveThirtyEight should pay @TheEconomist $6400. Otherwise, @TheEconomist should pay @FiveThirtyEight $3600. How did we generate this bet? 1/5.
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5/ Even when deployed within @perplexity_ai , R1 has clear pro-CCP bias compared to @OpenAI's o1.
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3/ The papers you upload are saved in your library (only visible to you) so that you don't have to keep uploading them. Eventually, you'll be able to upload 10,000+ papers, run more operations on them, organize into projects, and share collections with teammates.
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Introducing High-accuracy mode in Elicit! Data from papers can now be extracted at half the error rate and with much more customization.
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“Using Elicit, we recently conducted a ‘rapid literature review’ investigating 40 research questions across almost 500 papers. In the past, we would never have been able to conduct a rapid literature review of that scale. This technology allows us to offer clients deeper insights.
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1/ You can now add natural language filters in your Elicit queries! If you try a query like . "papers about the benefits of taking l-theanine published after 2020" . Elicit will automatically filter to papers published after 2020.
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2/ DeepSeek’s models align closely with narratives spread by the Chinese Communist Party (CCP). While we respect people’s First Amendment right to engage or share such material, we believe that any government propaganda is fundamentally incompatible with Elicit’s mission to be.
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What's new in semantic search and retrieval?. Informal tech talk by @elicitorg ML engineer Justin Reppert
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7/ There is so much left to do! . Help us build intuitive and general interfaces that can run language models at high accuracy and superhuman scale to automate important research -
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New tutorial explaining how to use Elicit to screen papers & extract data for systematic reviews and meta-analyses!
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- and a particularly exciting one: findings & ideas that generalize across domains. From the earliest days of Elicit, researchers have been begging us to help them translate across domains
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We've added an estimated ~10 million more full-text papers to Elicit over the last month! This makes Elicit Reports more comprehensive/rigorous, since Reports will extract more info per paper.
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6/ While R1 is a stunning technical achievement and we have deep respect for the people behind it, the examples above show that without further post-training and evaluation, DeepSeek’s models are not suitable for deployment in high-stakes settings such as academic research.
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We love when researchers use Elicit to tackle what seemed unthinkable before – like 1,000+ paper systematic reviews. That’s why we’re introducing the Elicit Team plan for research teams with big ambitions! Includes everything on Elicit Pro, and adds:.• 50% more papers and
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One of our primary goals is to make quality research faster while exceeding human levels of accuracy, so we're especially excited about some recent quality improvements to Elicit: . - Data extraction in columns without high-accuracy enabled is now 15% more accurate.- Using
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Want a peek under the hood on how Elicit's magic works?. 𝗟𝗶𝘃𝗶𝗻𝗴 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝘀 𝗮𝘀 𝗮 𝗨𝗫 𝗽𝗮𝘁𝘁𝗲𝗿𝗻 𝗶𝗻 𝗔𝗜. It's about systematic review, and the design challenges of using AI to create an editable document with everything science knows.
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We've added a filter for journal quality to help you restrict your searches to only top-ranked journals any time you want. Simply move this quality slider to gradually narrow in on higher ranked journals, quartile by quartile. 🙌
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At Elicit, we're advancing transparent and systematic approaches to AI so that we can improve the quality of reasoning in science, policy and beyond. Now Elicit is collaborating with the National Institute of Standards and Technology (NIST) in the Artificial Intelligence Safety.
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- Machine learning techniques, like reducing hallucination in language models
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In the last few weeks, the @PredictIt price for voter turnout > 160M has almost doubled. If you want to get alerts when markets change, set custom PredictIt notifications at
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“Elicit is a step above other tools I've tried. I prefer Elicit when it comes to actually interpreting evidence. It doesn't make things up like ChatGPT.” - James Compagno, Director of Marketing. MicroGenDX is a clinical laboratory that offers microbial diagnostic tests via.
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3/ What exactly are we talking about? Here’s an example of DeepSeek's V3 model defending the Tiananmen Square massacre.
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2/ Gather all of the papers you want included in your review. You can add papers from your Elicit Library, any PDFs you find using traditional search methods, and another 500 papers from Elicit’s semantic search to make sure you don’t miss anything.
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7/ Given the open-source nature of these models we’re confident that the community will be able to address these issues and bring high-quality affordable reasoning to all Elicit users.
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Elicit now lets you filter papers by any criteria, including effect direction, population studied, technique used, and more!. Add a column and filter by keywords mentioned in the column. Learn more about filtering with columns here:
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We added 19 more columns that you can use to extract details from over 200 million academic papers, or any PDF that you upload! . These will work much better for fields like:.- Social science.- Economics and business studies.- Computer science
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10/ Systematic reviews are the gold standard of summarizing scientific literature. But their rigor has historically made them too expensive and slow. Elicit Systematic Review teaches AI to follow this expert human process, while also leaving room for you to take control. By.
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Elicit for Health Economics & Outcomes Research (HEOR)! . Use Elicit to estimate the market for a health intervention, costs, burden of illness, and more. Search through 125 million public papers (including PubMed) and extract details about datasets used, study methodologies,
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7/ Elicit will always support its answers with direct quotes from the paper and an explanation
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New in Elicit: Summary columns, including for uploaded papers! Now you can summarize any paper that you upload to Elicit. We also added "Summary of introduction" and "Summary of discussion". "Summary of introduction" can show how a paper fits into the literature on a research
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It's interesting how much narrower and peakier @TheEconomist's prediction for Dem Electoral College votes is compared to @PredictIt, @metaculus, and @FiveThirtyEight .
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4/ Here’s another example where V3 says that China is a democracy. ChatGPT makes no such mistake.
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Our head of engineering @james_elicit outlined how we hire for AI engineers, from skillset to hiring process. On the latest @latentspacepod, he discusses the surprising chaotic qualities of language models and how pre-AI chaos engineering skills can play a role.
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6/ You’ll still get the Elicit you know and love in the "Find papers" workflow!
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4/ At any point, you can edit the AI suggestion, override it, or manually enter your own.
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8/ Think of something new or want to update with more recent papers?. Go back and edit any step. New papers will automatically be funneled through to screening and data extraction.
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This week's updates:. 1. Add "DOI" & "Detailed study design" to your table. "Detailed study design" is useful for identifying methodologies beyond randomized controlled trials, reviews, and meta-analyses (shown in "Study type").
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"Powerful generalizable language-based AI tools like Elicit are here, and they are just the tip of the iceberg; multimodal foundation model-based tools are poised to transform business in ways that are still difficult to predict." - @rossgritz .
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1/ Last week, we launched question & answering over the full text of open access papers. This query extracts the inclusion criteria from inside a systematic review. Clicking on the cell shows the source from inside the paper. You can also flag mistakes.
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3/ Then, develop your screening criteria. Elicit automatically generates relevant criteria, so you don’t have to start from scratch.
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6/ Next, data extraction!. As with the screening criteria, Elicit will generate suggestions for what to extract based on your research question. You can edit, override, or manually enter your own.
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If you're curious about how Machine Learning and LLMs work--it's not magic or the robot uprising!--we've compiled a comprehensive reading list that we share with new Elicit employees. We find the Applications in Science section particularly interesting:
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You can skip steps 2-6 by doing this directly on the home page! . Click on the button that says "Brainstorm questions for. " underneath the search bar. @MushtaqBilalPhD.
In the search bar, type in the question you just selected.
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1/ We've integrated the "Brainstorm Research Questions" task with the "Lit Review" workflow as suggested queries!. Brainstorm Research Questions is the second most popular task in Elicit, after Lit Review. Many users were already copying research questions into Lit Review.
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We've been experimenting with some interesting use cases for Chat with Papers:.-How papers relate to each other.-How authors define certain terms.-General context about what's being discussed in the papers.-What a single paper did in detail.
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Spillias et al. compared 3 AI approaches (Elicit, 1 call to GPT-4-Turbo, multiple calls to GPT-4-Turbo) to a human baseline on data extraction for a review about managing fisheries. Elicit consistently outperformed the GPT-4 implementations (p < 0.001) and had a near-zero
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5/ Once you’re happy with your screening criteria, apply them to your full set of papers. Elicit will order papers by likelihood of meeting all of your screening criteria. You can check Elicit’s detailed screening recommendations and manually override any disagreements.
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We hope these new paper limits will allow you to do deeper and more comprehensive research!. Generate a report:
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In addition to more relevant results, you can now run advanced searches using 14 filters. That means you can search based on:. • Title.• Journal.• Author.• Keywords.• PubMed ID.• DOI.• Publication year.• Open access status.• Citation count. And more. Here's an example
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The Elicit Basic plan is now completely, indefinitely free. It’s designed for students and casual users. You can run as many searches as you want, create as many summaries of papers as you want, and chat with papers as much as you want. You can try some data extraction.
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9/ Love your report and want to share it with colleagues? Elicit Team & Enterprise users can collaborate and edit reviews together, in real-time. You can also export any intermediate result as a CSV for further analysis.
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So what we need is automated evaluation, but with human supervision. Benchmarks are a way to achieve this, but they’re not easy to adapt to specific tasks. Instead we use LLM-based auto-evals with human supervision. We come up with an eval process, where we grade typical outputs.
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To make it easy for you to generate more Reports and do deeper systematic reviews, we doubled paper limits earlier this year. This means you can now extract data from twice as many papers. The new limits for data extraction are:
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We got to launch one of our most requested features in Elicit this morning: Custom tags for your uploaded PDFs. Starting today, you can now create and add tags for uploaded papers in your library. Group papers by project, category, favorites, reviewed status, step, or anything
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Elicit can be your best friend in sourcing a large body of papers for your research. Search citation trails, filter results based on your inclusion criteria, and run multiple queries quickly to broaden your results!
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The CSIRO team knew when the output was AI-generated, but were blinded to the specific AI implementation they were grading.
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We're working to urgently increase those limits and/or find workarounds to get our user experience back to where it should be. Our apologies for any disruption – we'll update our status page as we work through the problem.
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From forecasting weather to searching for new materials for batteries and solar panels and controlling nuclear-fusion reactions, AI is making research faster, better, and more productive
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Over 150 students and researchers in Indonesia are now using Elicit to support their research thanks to this incredible presentation by @manda_ngo .
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