- Atomic AI, which uses machine learning to explore the potential of RNA in drug discovery, raised a $35 million Series A round.
- They have developed a machine learning model that can accurately predict the structure of RNA molecules based on a limited set of data.
- They have since refined their model and are using it to drive their drug discovery program, generating candidate molecules that could work to treat conditions that are drug-resistant or notoriously difficult to treat;
After writing the articles, I think they’re fairly solid summaries, but short enough that they (hopefully) pique your interest. Not everyone sees and clicks on links in articles, because who knows what’s relevant? Are you going to open 10 tabs just to find out? Or would you try to guess from the URL? The popup looks great to me, and it only appears when you want it to:
Animated example of a summary popup.
Here, try live on this post — you may or may not care about football salaries, but you can watch it pop up and disappear. That appearance is also customizable. Summary length, bullets, whether and when to trigger it can all be changed. So what happens when link previews get this rich AI abstraction treatment?
“We’re seeing 50 percent more page views,” Schrager said. “I’m a pretty analytical person and I was horrified by what we were seeing, because it was a bit counterintuitive. But Wikipedia did it, and it was very successful. It would have reduced the cost of searching for the user. Is.
By getting a big clue as to what they’re hovering over, it’s “Should I click on this or not?” Reduces the hump. The smallest hump in the world, sure, but if you told a web publisher you could increase clicks by one percent—let alone 50 percent—they’d jump at it. Time on site and engagement are valuable metrics, and finding ways to drive them upward is a big part of any product manager’s job.
Different links, such as affiliate links, may provide different previews, for example the pros and cons of a product summarized from the last hundred reviews. Or external links can be left bare — perhaps (just to be honest) to prevent them from benefiting from the same click-through effect.
Schrager notes that he has done a lot of work under the hood to make sure that summaries don’t exhibit the kind of “creative” language models for which names, dates, quotations, and the like. are always retained, for example, and changing words is limited to places where it would not change the meaning. “All of our valuable IP know-how and know-how before and after the AI model,” he said.
Ultimately, although users benefit, the summary users are now the website operators. The company charges a flat fee to access the tool and then a small usage fee.
“If your average article has 1,000 words, and you have five of them, we summarize 5,000 words and write 500, and we charge maybe 50 cents,” Schrager says of a lot of scale. Presented as a loose example. “We try to create total value. De minimis So it’s not a barrier to sales – the only way we can scale quickly is to explore larger distribution channels.
After its initial partners, Summary is set to go live at a major academic publisher and a major news site, both unnamed. “We’re definitely seeing FOMO across the industry,” Shrager said. “There are people sniffing around, starting to see the value. There’s a natural network effect because backlinks are being summarized. Once TechCrunch has summarized using us, you’ve got it. Wouldn’t want to stop and do it again.”
I suggested that with big tech players like Microsoft and Google making big plays in AI, the company shouldn’t be surprised to receive an offer or two. After all, such summaries would be great for search engines or an algorithm-generated news site. But Schrager said he’s not looking for an immediate exit.
“My job is to maximize shareholder value. If I get an attractive offer from Google or Yahoo, it could be very lucrative… I’m not stupid, I’ll go for it. . . . But everyone here is going for a big win.”
