Elicit

Oxford PharmaGenesis is a medical communications consultancy that helps 8 of the top 10 global pharmaceutical companies develop and market new therapies. With Elicit, they're now doing research that was previously unmanageable. “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 across larger evidence bases than ever before.” Kim Wager, Scientific Director, AI and Data Science Team, Oxford PharmaGenesis

My favorite tool for working with complex topics and academic papers? Meet Elicit ?? Elicit helps you quickly discover scientific research on any topic, effortlessly summarizing even the most complex papers into clear, digestible insights. It automatically extracts key details from texts and tables, so you spend less time decoding data and more time understanding results. The platform independently collects, organizes, and analyzes both qualitative and quantitative data. It aggregates essential details like study designs, participant numbers, experimental and control conditions, and key findings. Complex academic terms are clearly explained by AI right within the platform. So you won’t get lost trying to decode phrases like “randomized double-blind placebo-controlled trial” or “p < .05.” You can search for studies by specific research questions ("role of magnesium in sleep and stress reduction") or explore topics broadly using the “list of concepts” feature, simply entering a set of terms you’d like to learn more about.

Title: Why Elicit.com is an INCREDIBLE Resource or Title: What are the Ethical Implications of Using AI to Interrogate the Environmental Impacts of AI? I'm taking mid-level dive into the environmental impacts of AI technology for an upcoming college seminar, and turned to Elicit for up-to-date scientific material. Folks, Elicit.com just keeps getting more and more awesome! I seriously can't recommend it enough as an aggregator of peer-reviewed scientific knowledge. Well done, Elicit! **Standing ovation** Here's a TL;DR report for those of you who don't have an hour to spare: Review analyzed 10 studies examining environmental impacts of AI technology, with all studies measuring carbon emissions and most assessing resource consumption. AI operations show significant environmental impacts through: - High energy consumption in model training and datacenter operations - Substantial carbon emissions from infrastructure - Increased resource consumption and e-waste generation Positive effects include potential optimization of energy use and resource allocation, while negative effects include high energy demand and hardware obsolescence Environmental impact varies based on: - Energy sources used - Geographic location - Scale of implementation - Economic development level Impact magnitude is scale-dependent: larger models and datasets increase environmental costs, but some solutions become more beneficial when scaled up?

Spent hours spent curating, collecting, and summarizing research in college. No regrets, but now there's an #AI research assistant for that: Elicit: https://lnkd.in/eF4N-V_9 #AIedu #research

Have a look at Elicit , the AI-powered research assistant, revolutionizes how you tackle research papers. Up to 80% time savings in systematic reviews and data extraction. Unmatched accuracy and deeper insights into your research. Curious? Elicit offers a free plan to help you explore its powerful capabilities. #AI #ResearchEfficiency #Innovation #Elicit #Productivity

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. ?? Link to full post: https://lnkd.in/gadJ263p 1/ We recruited 17 PhD-level professional researchers with backgrounds across neuroscience, speech therapy, economics, organizational psychology, information studies, ecology, and engineering. 2/ We asked these evaluators to compare Elicit to competitors in their area of expertise. They asked questions like: What are the comparative energy efficiencies of renewable energy sources for powering large-scale artificial intelligence and machine learning data centers? https://lnkd.in/gGR8_vRa 3/ The evaluators compared Elicit against: ? ChatGPT (o3-mini-high) with Deep Research ? Perplexity Deep Research ? Google Gemini Advanced 1.5 Pro with Deep Research ? Undermind ? Ai2 Scholar QA ? GPT-4o ? Claude 3.5 Sonnet ? Perplexity Pro ? Consensus ? Scite The last five were dropped after scoring low in early evaluations. 4/ These researchers evaluated 29 Elicit reports, and 120 reports across competitor tools. n=28 for ChatGPT Deep Research n=26 for Perplexity Deep Research n=11 for Google Gemini n=29 for Undermind n=26 for Ai2 Scholar QA 5/ We asked evaluators to give a general rating of each report on a scale of 0 to 10, where 0 was defined as “useless, low quality” and 10 as “very useful, high quality.” 6/ We asked evaluators to estimate how many hours the tool would save them when writing a systematic review. Estimates varied substantially, from 0 to 960 hours, equivalent to 6 months of full-time work at 40 hours/week. Thus the mean estimated time saved is skewed by high values and we report the median instead. 7/ We asked: “How good is the main answer of the report? Look at whatever is the closest to a ‘main answer’” for three metrics: accuracy, usefulness, and how well it answers the research question. 8/ Besides small sample size, our analysis is subject to the following limitations: ? We paid the evaluators, which may have biased their results. However, evaluators (a) did not hesitate to rate competitors more highly at times and (b) justified all their ratings, which leads us to believe that this is not driving results. ? We performed several rounds of evaluations with the same researchers instead of hiring new ones each time. Thus they saw improvement between versions of Elicit Reports, which could also have biased results. ? Though our evaluators are skilled professionals with research experience, their usage of Elicit and competitors may not be fully representative of other users or the full range of capabilities of each tool. 9/ For the full evaluation, including qualitative feedback, check out https://lnkd.in/gadJ263p

Don't sleep on Elicit . I just used it to answer a nagging question, "are there benefits using fresh milled wheat vs store bought?" I am no researcher... as you can tell from my question ???? The updated tools from Elicit helped me focus my question and delivered a response, "Fresh vs. Store-Bought Flour: Glycemic and Digestive Effects." It then gave me its summary and further drilled into characteristics across the cited research. Now onto the next step for me - reading the research of most relevance to me, refining my question, and reading more research. What do you do to create a great research question?

Excited to announce our Series A and the launch of Elicit Reports, fully-automated research overviews for actual researchers. Based on external evaluation, we found that Elicit Reports produce higher quality research summaries and save more time than any other “deep research” tool on the market, including ChatGPT Deep Research. Also, we are actively hiring PMs now, so please DM me if interested or know someone who is a good fit to scale up good reasoning! https://elicit.com/careers?

Congratulations to Elicit on their $22M Series A round, co-led by Footwork and Spark Capital. Elicit is the leading AI platform for research, with the mission of deploying AI to radically increase good reasoning in the world. If you're interested in joining this pursuit, check out the careers page at elicit.com/careers.

the group chat is buzzing about Elicit's new Reports – this is from a low-profile but super-savvy user I know well: "I cannot emphasize enough how much better Elicit is than Deep Research from any company with respect to academic/medical topics" proud to be a (tiny) angel investor in a company that's achieving great results with a principled approach! congrats Jungwon Byun Andreas Stuhlmüller & team!