Generative AI can help businesses in many sectors increase efficiency and boost their bottom-lines, not just tech giants. A UBS report analyzes well-positioned firms.
Demand for AI via consumer mobile apps has been climbing, with market leader OpenAI’s ChatGPT mobile app topping half a million downloads in its first six days. Now, another AI app is touting its own launch success, as the a16z-backed Character. AI app is claiming to have pulled in over 1.7 million new installs in less than a week on the market. The AI app maker, which announced a whopping $150 million in Series A funding earlier this year, valuing its business at $1 billion, offers customizable AI companions with distinct personalities, as well as the ability for users to create their own characters.
While there are a number of these AI character generators available on today’s app stores, interest in Character. AI has a lot to do with its founders. The Palo Alto–based startup was created by Noam Shazeer and Daniel De Freitas, AI experts who previously led a team of researchers at Google that built LaMDA (Language Model for Dialogue Applications), a language model that helps power conversational AI experiences.
At Google, the founders had become frustrated with the company’s hesitancy to roll out AI chatbots to other researchers and the general public, including through integrations with other Google products, like Assistant, The Wall Street Journal reported. Believing AI would revolutionize search and other areas, the duo ultimately decided to leave Google in late 2021, despite pleas from CEO Sundar Pichai to stay and continue their work on LaMDA. That same November, Shazeer and De Freitas founded Character Technologies, now home to Character. AI.
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Vectara is continuing to grow as an AI powered conversational search platform with new capabilities announced today that aim to improve generative AI for business data.
The Santa Clara, Calif.- based startup emerged from stealth in Oct. 2022, led by the former CTO and founder of big data vendor Cloudera. Vectara originally branded its platform as a neural search-as-a-service technology. This approach combines AI-based large language models (LLMs), natural language processing (NLP), data integration pipelines and vector techniques to create a neural network that can be optimized for search.
Is this Mars thing really happening? SpaceX did its first test launch of Starship this spring, the rocket that it’s developing to send to Mars. But getting to Mars is still a long way off. So does SpaceX have the funding and business plan to pull it off?For sponsor-free episodes of The Indicator from Planet Money, subscribe to Planet Money+ via Apple Podcasts or at plus.npr.org.
This video explores Brain Computer Interfaces in 2050. Watch this next video called “Transhumanism: 20 Ways It Will Change The World:” https://youtu.be/qcsihbGnXgE.
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The undersea cables are being targeted.
Taiwan is beefing up its communications infrastructure to ensure that it remains connected to the rest of the world in case of any emergency. Cindy Wang reports on Bloomberg Television.
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For the past 20 years, the theory of disruptive innovation has been enormously influential in business circles and a powerful tool for predicting which industry entrants will succeed. Unfortunately, the theory has also been widely misunderstood, and the “disruptive” label has been applied too carelessly anytime a market newcomer shakes up well-established incumbents.
In this article, the architect of disruption theory, Clayton M. Christensen, and his coauthors correct some of the misinformation, describe how the thinking on the subject has evolved, and discuss the utility of the theory.
They start by clarifying what classic disruption entails—a small enterprise targeting overlooked customers with a novel but modest offering and gradually moving upmarket to challenge the industry leaders. They point out that Uber, commonly hailed as a disrupter, doesn’t actually fit the mold, and they explain that if managers don’t understand the nuances of disruption theory or apply its tenets correctly, they may not make the right strategic choices. Common mistakes, the authors say, include failing to view disruption as a gradual process (which may lead incumbents to ignore significant threats) and blindly accepting the “Disrupt or be disrupted” mantra (which may lead incumbents to jeopardize their core business as they try to defend against disruptive competitors).
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From cybersecurity to SaaS for restaurants, the key to running a successful business is selling a product that solves your clients’ real problems. — Anna
2022 in cybersecurity.
