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OpenAI’s ChatGPT Bot Sparks Excitement And Concern Among Investors, Entrepreneurs And Researchers – GeekWire

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“Extremely impressive.” “Incredibly rich.” “Super exciting.”

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This is how tech leaders describe ChatGPT, the new model of conversational chatbot launched last week by OpenAI.

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San Francisco-based

The bot is based on existing GPT natural language technology developed by OpenAI, the San Francisco-based organization formed by technology leaders Sam Altman and Elon Musk, and backed by Microsoft, which helps drive cloud computing back -end for OpenAI products.

But the latest update garnered a huge reaction over the past week, and over 1 million users, given the way ChatGPT can quickly answer tricky questions and produce content instantly.

For example, we asked him to write a short story about the Seattle startup ecosystem, and the result was relatively spot on. You can easily do homework or create weight loss plans or even write lines of code. Technology is making college professors rethink how they create test questions.

Aaron Levie

“There’s a certain feeling that happens when a new technology adjusts the way you think about computing,” Box CEO Aaron Levie said. “Google did it. Firefox did. AWS did it. iPhone did it. OpenAI is doing it with ChatGPT.”

But concerns are already being raised about the technology, part of a newer group of language models called “generative AI,” such as the ability to discern when a machine creates something or not, or if it’s misused and if there are unintended consequences. .

Jensen Harris

And for now, the bot is not always accurate or truthful. Seattle tech veteran Jensen Harris, co-founder of Textio, shared a ChatGPT response describing “The Ohio and Indiana War,” which, of course, didn’t happen.

We reached out to Seattle-area investors, entrepreneurs, and tech researchers to get their quick thoughts on ChatGPT and its potential. Read on for their answers.

Greg Gottesman, CEO of Pioneer Square Labs:

“We are seeing the first entry of technology that will convert information workers, from journalists to marketers and programmers, from content and code generators to publishers. I think that over time the type of work we do and the way we work will change.” “Startups, of course, have an important role to play. I think the big companies can control a lot of the underlying technology, but there will be a lot of room for startups to build the applications that derive from this technology and build on it and enhance it in ways that allow for purpose-built vertical solutions. ”

Yejin Choi

Yejin Choi, professor of computer science at the University of Washington

“I think ChatGPT is both amazing and not amazing. What he is capable of, when he succeeds in continuing, is super exciting and impressive. It reaches a new milestone that the community at large did not necessarily consider feasible within this year. “It’s also not surprising that it easily makes mistakes when users deliberately try to trick the system. This weakness of antagonistic queries could become an extremely difficult problem to solve in the coming years, as such queries challenge the system with novel and less frequent situations. The current deep learning training paradigm relies heavily on frequent patterns or patterns from previously seen situations, and lacks common sense capabilities to reason fluently about trivial but novel/unfamiliar situations.”

Geoff Harris, Managing Partner at Flying Fish Partners

Alexa Skills

“This has the potential to be a revolutionary technology. What is less clear at this point is the strategy behind it. This could simply be a case of OpenAI demonstrating what is possible on top of its core platform. They could expand this to be an app model for others, one where there are vertical implementations similar to Alexa Skills, but where the discovery challenges are resolved because the UX is visual, not just audio.” “An alternative path is that this is the ‘Office’ of OpenAI for your ‘Windows’: GPT implementation of the first party application. On this path, many owners, especially Google, should be nervous.

Richard Yonck, futuristic and emerging technology consultant

“Certainly, there are a variety of commercial use cases, but I am concerned about their intentional misuses (for example, multimodal deepfakes and other forms of automated cybercrime) and the unintended consequences (information and its expression converge in the medium, so such as atrophy of writing skills).”

David Shim, founder and CEO of Read AI:

“It won’t be a surprise to see in the next 24 months, multiple multi-billion dollar companies built on the foundational models of OpenAI. The most successful startups will not be the best at rapid engineering, which is the current approach, but success will be found in what new data and use cases they incorporate into OpenAI models. These new data and applications will be the moat that establishes the next set of AI unicorns.”

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