Bing AI often refers to itself as Sydney, but Microsoft says that was an internal codename for a chat experience it was previously working on.
Microsoft’s new Bing AI keeps telling a lot of people that its name is Sydney. In exchanges posted to Reddit, the chatbot often responds to questions about its origins by saying, “I am Sydney, a generative AI chatbot that powers Bing chat.” It also has a secret set of rules that users have managed to find through prompt exploits (instructions that convince the system to temporarily drop its usual safeguards).
We asked Microsoft about Sydney and these rules, and the company was happy to explain their origins and confirmed that the secret rules are genuine.
“Sydney refers to an internal code name for a chat experience we were exploring previously,” says Caitlin Roulston, director of communications at Microsoft, in a statement to The Verge. “We are phasing out the name in preview, but it may still occasionally pop up.” Roulston also explained that the rules are “part of an evolving list of controls that we are continuing to adjust as more users interact with our technology.” Read More
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5 AI Companies that are Shaping the Future in 2023 | Artificial Intelligence
Bing vs Bard: Who will win? Google or Microsoft? A breakdown and analysis of the recent news
Battle of the Behemoths
The tech giants are girding their loins for battle in the AI search space.
Microsoft announced that today, we’re launching an all new, AI-powered Bing search engine and Edge browser, available in preview now at Bing.com, to deliver better search, more complete answers, a new chat experience and the ability to generate content. We think of these tools as an AI copilot for the web.
“AI will fundamentally change every software category, starting with the largest category of all – search,” said Satya Nadella, Chairman and CEO, Microsoft. “Today, we’re launching Bing and Edge powered by AI copilot and chat, to help people get more from search and the web.” Read More
Meanwhile, Google’s CEO, Sundar Pichai, announced Bard, a ChatGPT competitor, in a blog post today, describing the tool as an “experimental conversational AI service” that will answer users’ queries and take part in conversations. The software will be available to a group of “trusted testers” today, says Pichai, before becoming “more widely available to the public in the coming weeks.”
It’s not clear exactly what capabilities Bard will have, but it seems the chatbot will be just as free ranging as OpenAI’s ChatGPT. A screenshot encourages users to ask Bard practical queries, like how to plan a baby shower or what kind of meals could be made from a list of ingredients for lunch. Read More
Not to be outdone, China’s largest search engine company plans to debut a ChatGPT-style application in March, initially embedding it into its main search services, said the person, asking to remain unidentified discussing private information. The tool, whose name hasn’t been decided, will allow users to get conversation-style search results much like OpenAI’s popular platform. Read More
Google is asking employees to test potential ChatGPT competitors, including a chatbot called ‘Apprentice Bard’
- Google is testing ChatGPT-like products that use its LaMDA technology, according to sources and internal documents acquired by CNBC.
- The company is also testing new search page designs that integrate the chat technology.
- More employees have been asked to help test the efforts internally in recent weeks.
#big7, #chatbots
DeepMind’s CEO Helped Take AI Mainstream. Now He’s Urging Caution
Demis Hassabis stands halfway up a spiral staircase, surveying the cathedral he built. Behind him, light glints off the rungs of a golden helix rising up through the staircase’s airy well. The DNA sculpture, spanning three floors, is the centerpiece of DeepMind’s recently opened London headquarters. It’s an artistic representation of the code embedded in the nucleus of nearly every cell in the human body. “Although we work on making machines smart, we wanted to keep humanity at the center of what we’re doing here,” Hassabis, DeepMind’s CEO and co-founder, tells TIME. This building, he says, is a “cathedral to knowledge.” Each meeting room is named after a famous scientist or philosopher; we meet in the one dedicated to James Clerk Maxwell, the man who first theorized electromagnetic radiation. “I’ve always thought of DeepMind as an ode to intelligence,” Hassabis says.
Hassabis, 46, has always been obsessed with intelligence: what it is, the possibilities it unlocks, and how to acquire more of it. He was the second-best chess player in the world for his age when he was 12, and he graduated from high school a year early. As an adult he strikes a somewhat diminutive figure, but his intellectual presence fills the room. “I want to understand the big questions, the really big ones that you normally go into philosophy or physics if you’re interested in,” he says. “I thought building AI would be the fastest route to answer some of those questions.” Read More
Google Calls In Help From Larry Page and Sergey Brin for A.I. Fight
A rival chatbot has shaken Google out of its routine, with the founders who left three years ago re-engaging and more than 20 A.I. projects in the works.
Last month, Larry Page and Sergey Brin, Google’s founders, held several meetings with company executives. The topic: a rival’s new chatbot, a clever A.I. product that looked as if it could be the first notable threat in decades to Google’s $149 billion search business.
Mr. Page and Mr. Brin, who had not spent much time at Google since they left their daily roles with the company in 2019, reviewed Google’s artificial intelligence product strategy, according to two people with knowledge of the meetings who were not allowed to discuss them. They approved plans and pitched ideas to put more chatbot features into Google’s search engine. And they offered advice to company leaders, who have put A.I. front and center in their plans.
The re-engagement of Google’s founders, at the invitation of the company’s current chief executive, Sundar Pichai, emphasized the urgency felt among many Google executives about artificial intelligence and that chatbot, ChatGPT. Read More
Google’s Blog
#big7, #chatbots
AI and the Big Five
The story of 2022 was the emergence of AI, first with image generation models, including DALL-E, MidJourney, and the open source Stable Diffusion, and then ChatGPT, the first text-generation model to break through in a major way. It seems clear to me that this is a new epoch in technology.
To determine how that epoch might develop, though, it is useful to look back 26 years to one of the most famous strategy books of all time: Clayton Christensen’s The Innovator’s Dilemma, particularly this passage on the different kinds of innovations:
Most new technologies foster improved product performance. I call these sustaining technologies. Some sustaining technologies can be discontinuous or radical in character, while others are of an incremental nature. What all sustaining technologies have in common is that they improve the performance of established products, along the dimensions of performance that mainstream customers in major markets have historically valued. Most technological advances in a given industry are sustaining in character…
Disruptive technologies bring to a market a very different value proposition than had been available previously. Generally, disruptive technologies underperform established products in mainstream markets. But they have other features that a few fringe (and generally new) customers value. Products based on disruptive technologies are typically cheaper, simpler, smaller, and, frequently, more convenient to use. Read More
Google’s Simple ML for Sheets add-on can predict missing and spot abnormal values
Google today announced an add-on for Google Sheets that applies “Simple ML” to your data that was built by the TensorFlow team to help make “machine learning accessible to all.”
Anyone, even people without programming or ML expertise, can experiment and apply some of the power of machine learning to their data in Google Sheets with just a few clicks. From small business owners, scientists, and students to business analysts at large corporations, anyone familiar with Google Sheets can make valuable predictions automatically. Read More
3 ways AI is scaling helpful technologies worldwide
Decades of research have led to today’s rapid progress in AI. Today, we’re announcing three new ways people are poised to benefit.
… Today, we’re excited about many recent advances in AI that Google is leading — not just on the technical side, but in responsibly deploying it in ways that help people around the world. That means deploying AI in Google Cloud, in our products from Pixel phones to Google Search, and in many fields of science and other human endeavors.
We’re aware of the challenges and risks that AI poses as an emerging technology. We were the first major company to release and operationalize a set of AI Principles, and following them has actually (and some might think counterintuitively) allowed us to focus on making rapid progress on technologies that can be helpful to everyone. Getting AI right needs to be a collective effort — involving not just researchers, but domain experts, developers, community members, businesses, governments and citizens.
I’m happy to make announcements in three transformative areas of AI today: first, using AI to make technology accessible in many more languages. Second, exploring how AI might bolster creativity. And third, in AI for Social Good, including climate adaptation. Read More
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