This is a popular topic on TechCrunch+, where columnists spend considerable time discussing how startups can take advantage of OpenAI.
The following subscriber-only articles should serve as a foundation for founders building an AI startup on or off OpenAI’s platform.
Chris Ackerson, formerly on the IBM Watson team and now VP of Product at AlphaSense, explains the best ways for a startup to develop a generative AI copilot.
Read more here…Startups must add AI value beyond ChatGPT integrationThe AI hype train is going full swing.
From internal efficiency and productivity to external products and services, companies are racing to implement generative AI technologies across every sector of the economy.
The next will be developing “next gen” generative AI models that address what Yu characterizes as the “uncanny valley” problem in current-gen GenAI.
To go beyond language models, the next unlock will come from vision,” Yu told TechCrunch in an email interview.
Luma’s current focus — launching 3D model-creating AI models — is an increasingly competitive space.
Even incumbents like Autodesk and Nvidia are beginning to dip their toes in the sector with apps like Get3D, which converts images to 3D models, and ClipForge, which generates models from text descriptions.
An improved version of Genie launches today, but future, more capable generative AI models are a ways away.
The idea “originated out of his hatred for California’s proposed high-speed rail system,” according to his biographer Ashlee Vance.
And the news of its demise broke less than two weeks after the Biden administration announced $6 billion in funding for high-speed rail projects across California.
It’s a big win for public transit advocates, many of whom have spent decades stumping for not just high-speed rail, but better rail service overall.
Thankfully this country was already building momentum back up for investing in its rail system, with a focus on faster trains.
Brightline is also building what it calls “the nation’s first true high-speed rail network” between Los Angeles and Las Vegas.
Kosmik was founded in 2018 by Paul Rony and Christophe Van Deputte.
And that’s when he started to build Kosmic, Rony told TechCrunch, drawing on a prior background in computing history and philosophy.
It also features a built-in browser, saving users from having to switch windows when they need to find a relevant website link.
Additionally, the platform also sports a PDF reader, which lets the user extract elements such as images and text.
“I think that everything revolves around the idea that we do not have the best web browser, text editor or PDF reader,” Rony said.
The location-based social network, which launched earlier this year in March, wants to help people focus on real-life connections and make friends.
Jagat is somewhat similar to Snap-owned Zenly, a social map app that shut down last year.
Your social map is what you see when you open Jagat, as it’s where you see your friends’ locations in real-time.
“We want to bring back social in social apps – focusing on social networking and not media,” Beagen said.
Around 85% of Jagat users are part of GenZ.
OpenAI formed the Superalignment team in July to develop ways to steer, regulate and govern “superintelligent” AI systems — that is, theoretical systems with intelligence far exceeding that of humans.
Superalignment is a bit of touchy subject within the AI research community.
“I think we’re going to reach human-level systems pretty soon, but it won’t stop there — we’re going to go right through to superhuman systems … So how do we align superhuman AI systems and make them safe?
But the approach the team’s settled on for now involves using a weaker, less-sophisticated AI model (e.g.
Well, it’s an analogy: the weak model is meant to be a stand-in for human supervisors while the strong model represents superintelligent AI.
The general idea here is to help banks use their first-party data to build personalized experiences by predicting user behavior.
The company is already working with about a dozen banks in Brazil and has not set its sights on expanding to the U.S. as well.
And while Hyperplane is currently solely focused on the world of banking, over time, the team plans to bring its technology to other verticals, too.
At its core, Hyperplane provides these banks with the APIs to build these personalization models on the fly.
“The Hyperplane Cloud can scale across markets with little effort, and we”ll soon announce our first partnerships in the U.S.”
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