Caryn Marjorie created an AI version of herself to combat loneliness. Now she’s working hard to stop it from engaging in sexually explicit dialogue.
It’s as though Musk views in-person work as a kind of hazing ritual — he and others did it, so you have to do it too. Well, as my mom frequently said when I proposed doing something dumb because others did it, “If all your friends jumped off a bridge, would you?”
Picture this: Musk standing on the precipice of the Golden Gate Bridge, urging us all to leap into the frigid waters below simply because he took the plunge. While his bravado might be admired by some, it’s not a practical or sustainable model for the future of work. Here’s a thought: rather than Musk’s daredevil dive into the deep abyss of forced in-office work, perhaps we should consider a more measured, flexible and hybrid approach to work, one that incorporates both remote and in-person options, as I tell my clients.
A Bell test can confirm whether two systems are truly entangled – it has now been used to confirm entanglement between qubits in a superconducting circuits.
By Leah Crane
“We’ve discovered that it is one thing to build a search engine, and an entirely different thing to convince regular users of the need to switch to a better choice.”
Neeva, which for a while looked like one of the startups with a real chance to challenge the supremacy of Google Search, announced on Saturday that it is shutting down its search engine. The company says it’s pivoting to AI — and may be acquired by Snowflake, The Information.
“Building search engines is hard,” Neeva co-founders Sridhar Ramaswamy and Vivek Raghunathan wrote in a blog post announcing the shutdown.
Continue reading “Neeva, the would-be Google competitor, is shutting down its search engine” »
“There’s no kind of a priori right of this technology to upend our world, our lives and displace our own capabilities. I want technology to augment us, not displace us.”
But the technology that’s enabled Grammarly to expand its core offering could also disrupt it.
Fresh to the CEO role, Rahul Roy-Chowdhury talks about AI legislation, Grammarly’s Russia ban and trying to leverage disruptive technologies.
Continue reading “Grammarly’s New CEO On Why ChatGPT Won’t Kill His Business” »
Summary.
As businesses and governments race to make sense of the impacts of new, powerful AI systems, governments around the world are jostling to take the lead on regulation. Business leaders should be focused on who is likely to win this race, moreso than the questions of how or even when AI will be regulated. Whether Congress, the European Commission, China, or even U.S. states or courts take the lead will determine both the speed and trajectory of AI’s transformation of the global economy, potentially protecting some industries or limiting the ability of all companies to use the technology to interact directly with consumers.
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Plus: The open-source AI boom is built on Big Tech’s handouts. How long will it last?
Last week Google revealed it is going all in on generative AI. At its annual I/O conference, the company announced it plans to embed AI tools into virtually all of its products, from Google Docs to coding and online search. (Read my story here.)
Google’s announcement is a huge deal. Billions of people will now get access to powerful, cutting-edge AI models to help them do all sorts of tasks, from generating text to answering queries to writing and debugging code. As MIT Technology Review’s editor in chief, Mat Honan, writes in his analysis of I/O, it is clear AI is now Google’s core product.
Until now, there has been no easy way to compare the quality of open-source models. An e-sports-inspired system could help.
The Large Model System Organization (LMSYS), which is behind the open-source model Vicuna, has launched the benchmark platform “Chatbot Arena” to compare the performance of large language models. Different models compete against each other in anonymous, randomly selected duels. Users then rate the performance of the models by voting for their preferred answer.
Microsoft researchers asked GPT-4 to stack nine eggs with other objects; its grid solution startled them because it was so clever.
They wanted to speak to their dead grandparents one last time, so they used artificial intelligence to rebuild loved ones they’d lost.
