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HomeArtificial IntelligenceLuke Kim, Founder and CEO of Liner - Interview Collection

Luke Kim, Founder and CEO of Liner – Interview Collection


Luke Kim is the Founder and CEO of Liner, a cutting-edge AI-powered analysis device designed to streamline and improve the analysis course of, serving to customers full their duties 5.5 occasions sooner. As an AI search engine, Liner supplies filtered search outcomes for exact info and routinely generates citations in varied codecs, making it a useful useful resource for researchers, college students, and professionals.

Are you able to inform us about your background and what impressed you to pursue entrepreneurship, particularly within the subject of AI and expertise?

My entrepreneurial journey started with a need to handle real-world issues by means of expertise. As an undergraduate, I used to be struck by how difficult it was to navigate and belief the abundance of knowledge on-line. I used to be motivated to create a device that streamlines the method and helps college students discern between sources. What began as a highlighting device, weeding by means of out there info, over time developed into what Liner is in the present day: an AI search that gives solely probably the most dependable outcomes. I used to be drawn to AI for its potential to remodel how we course of and work together with information. The chance to create significant options for college kids, like my youthful self, continues to encourage me.

How did your expertise with the browser extension you constructed throughout your college days form the imaginative and prescient for Liner?

The Liner highlighter browser extension was my first actual dive into fixing the issue of knowledge overload. It confirmed me how a lot folks worth instruments that make discovering and organizing key info simpler. I discovered that simplifying even one step of a workflow can have a huge impact, whether or not it’s highlighting essential factors or surfacing related sources. This challenge formed Liner’s dedication to making a seamless expertise for customers, and serving to college students and researchers weed by means of the surplus noise on the web.

What was the unique imaginative and prescient behind Liner, and the way has it advanced since its inception?

Liner started as a easy device to assist customers spotlight and save key components of on-line content material. The purpose was to make it simpler for customers to deal with probably the most related info with out being overwhelmed. Over time, we acknowledged that customers wanted greater than a option to acquire and kind info—they wanted higher methods to seek out it and discern its reliability. This realization guided Liner’s transformation into an AI search engine.

What had been the foremost challenges you confronted whereas transitioning Liner from a highlighting device to an AI-driven search engine?

Probably the most important challenges was guaranteeing that our AI might constantly ship dependable and correct outcomes. Educational analysis requires a excessive diploma of belief, and assembly these expectations was essential. One other problem was integrating years of user-highlighted information into the AI’s coaching course of whereas retaining the platform intuitive. Placing the appropriate stability between technological innovation and a seamless person expertise was important but in addition extremely rewarding.

By constructing Liner’s definition of “agent” from scratch, we had been in a position to create a sturdy and steady framework for understanding what an agent actually is. We then carried out a search agent that prioritized reliability and credibility. On condition that our target market represents the head of credibility-focused expectations, we wanted a particular resolution able to addressing probably the most advanced issues. Our power lay in leveraging our proprietary datasets, the technical insights gained in the course of the agent definition course of, and our implementation experience. Collectively, these components grew to become our strongest instruments for achievement.

Are you able to elaborate on how the combination of user-highlighted information enhances the accuracy and reliability of Liner’s AI search outcomes?

Consumer-highlighted information acts as a precious layer of high quality management, serving to our LLM discern what different customers discover essential and credible. By leveraging this curated information, we’re in a position to prioritize related and reliable info in our search outcomes. This method ensures that customers get exact and actionable insights whereas avoiding irrelevant or low-quality content material.

How does Liner differentiate itself from different AI search instruments like ChatGPT or Perplexity?

Liner stands out by prioritizing reliability and transparency. Each search end result features a quotation, and customers can filter out much less dependable sources to make sure accuracy. As an extra measure, college students can pull sources and examine the unique quoted textual content on their display. In contrast to instruments designed for informal queries, Liner is purpose-built for college kids, teachers, and researchers, serving to customers deal with in-depth studying and evaluation as an alternative of verifying information. This dedication to belief and usefulness makes Liner a go-to device for over 10 million customers, together with college students at universities like UC Berkeley, USC, College of Michigan, and Texas A&M. Liner continues to distinguish itself by means of partnerships, like a current one with Tako, which integrates information visualization instruments to current advanced information in a extra accessible and interactive format, empowering customers to dive deeper into their analysis.

What measures does Liner take to cut back hallucinations in its AI responses, and the way does this influence person belief?

Lowering hallucinations requires anchoring AI-generated responses to verifiable sources. Liner achieves this by cross-referencing its outcomes with educational papers, authorities databases, and different trusted repositories. Our Supply Filtering System additional permits customers to exclude unreliable content material, offering an added layer of high quality assurance. These steps not solely reduce errors but in addition construct belief with the person.

Liner’s system is predicated on relevance (the relevance rating between agent-generated claims and reference passages) and factuality (which assesses how nicely the agent-generated claims are supported by the reference passages). The extra supportive the passage, the upper the factuality rating.Since our product strongly encourages customers to confirm claims to make sure they’re free from hallucinations, enhancing the factuality of our agent system is essential. In the end, we observe a optimistic correlation between the factuality rating and person retention.

What steps is Liner taking to construct belief amongst customers, particularly these skeptical about counting on AI for essential info?

Constructing belief begins with transparency. Liner supplies clear citations for each end result, giving customers the power to confirm the knowledge themselves. Moreover, we rank sources based mostly on reliability and permit customers to interact immediately with the unique content material. Steady person schooling and open communication additionally play a task in demonstrating that AI, when designed responsibly, generally is a reliable ally in schooling.

What tendencies do you assume will form the way forward for AI in educational analysis {and professional} information retrieval?

AI will change into more and more customized, adapting to the distinctive wants of every person and offering tailor-made insights. Transparency shall be key, as customers search higher readability about how AI processes info and delivers outcomes. Developments will even deal with addressing info overload and streamlining analysis instruments. By automating repetitive duties like information gathering and synthesis, AI will velocity up the early levels of analysis, enabling researchers to focus extra on essential pondering, evaluation, and innovation. This stability between effectivity and mental engagement will form the way forward for educational {and professional} analysis.

Liner just lately efficiently raised a $29 million funding spherical. How will this funding assist Liner develop, and what areas are you specializing in for growth?

This funding allows us to advance our mission of enhancing AI in schooling. We’re rising our world group and rolling out new options like Essay Mode, designed to assist college students refine their expertise in writing, structuring, and formatting essays. We’re additionally prioritizing partnerships with universities {and professional} organizations to achieve extra customers and showcase the influence of AI-powered analysis instruments. Current collaborations with corporations like ThetaLabs and Tako have expanded our capabilities. This funding highlights the rising want for reliable search options, and we’re keen to construct on this momentum.

Thanks for the nice interview, readers who want to be taught extra ought to go to Liner.

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