Google chief evangelist and “father of the internet” Vint Cerf has a message for executives looking to rush business deals on chat artificial intelligence: “Don’t.”
Cerf pleaded with attendees at a Mountain View, California, conference on Monday not to scramble to invest in conversational AI just because “it’s a hot topic.” The warning comes amid a burst in popularity for ChatGPT.
Not going to happen unless some “doomsdayers” decide to take man back to analog. Perish the thought!
Which brings us to Big Blue – not Big Brother – and its move to take artificial intelligence into the cloud minus all the hardware.
Yes, IBM (and let’s not leave out Red Hat, IBM’s core cloud player) has found another way to tout its cloud computing business by creating what it calls an artificial intelligence-focused supercomputer that exists in the cloud.
That’s the premise of Yi Zheng’s new invention. The associate professor of mechanical and industrial engineering at Northeastern has created a sustainable material that can be used to make buildings or other objects able to keep cool without relying on conventional cooling systems.
Circa: 2021
MIE Associate Professor Yi Zheng developed a “cooling paper” that could help cool the air in homes and businesses without the use of electricity.
Main photo: What if buildings could stay cool all on their own—no electricity required? That’s the premise of a new invention by Yi Zheng, associate professor of mechanical and industrial engineering at Northeastern. Photo by Ruby Wallau/Northeastern University.
The sun beats down, making everything you touch radiate burning heat. Beads of sweat form all over your body, even when you sit still. It’s one of those beastly hot summer (or spring) days.
Challenger search engine Neeva wants to replace the familiar “10 blue links” in search results with something more fitting for the modern AI age.
Back in December, Neeva co-founder and CEO Sridhar Ramaswamy, who previously spearheaded Google’s advertising tech business, teased new “cutting edge AI” and large language models (LLMs), positioning itself against the ChatGPT hype train.
“ChatGPT cannot give you real time data or fact verification,” Ramaswamy wrote at the time. “In our upcoming upgrades, Neeva can.”
ChatGPT, Open AI’s conversational chatbot, is currently one of the most popular tools on the internet. Designed to assist in tasks ranging from summarizing information to generating some of its own, the chatbot has trumped the likes of Tiktok and Instagram regarding daily active users. Microsoft hopes to cash into this rush by powering its Bing search engine with an advanced version of the GPT, the learning language model that runs the chatbot.
Alilbaba to launch ChatGPT rival too
Such has been the craze of ChatGPT that no tech company wants to be left out of this race. After years of hyped-up AI talk, something tangible has emerged and has the potential to knock Google off its perch or at least drastically change how it conducts its business.
Deepfake technology has been around for some time, and it’s currently causing controversies for the potential threats it may bring when fallen into the wrong hands. Even India’s business tycoon Anand Mahindra sparked alarm over hyper-realistic synthetic videos.
But some personalities are redefining the way viewers perceive deepfakes. For instance, David Guetta recently synthesized Eminem’s voice to hype up an event. And it’s only one of the many examples of people using artificial intelligence (AI) for entertainment. In fact, it already came to different social media websites like Twitch that take streaming to the next level.
Bachir Boumaaza is a Youtuber who once made a name for his record-breaking games, which he used to help numerous charities. But he became inactive, with most of his fans wondering where he went, thinking it might’ve been the end of his career.
Google worked to reassure investors and analysts on Thursday during its quarterly earnings call that it’s still a leader in developing AI. The company’s Q4 2022 results were highly anticipated as investors and the tech industry awaited Google’s response to the popularity of OpenAI’s ChatGPT, which has the potential to threaten its core business.
During the call, Google CEO Sundar Pichai talked about the company’s plans to make AI-based large language models (LLMs) like LaMDA available in the coming weeks and months. Pichai said users will soon be able to use large language models as a companion to search. An LLM, like ChatGPT, is a deep learning algorithm that can recognize, summarize and generate text and other content based on knowledge from enormous amounts of text data. Pichai said the models that users will soon be able to use are particularly good for composing, constructing and summarizing.
“Now that we can integrate more direct LLM-type experiences in Search, I think it will help us expand and serve new types of use cases, generative use cases,” Pichai said. “And so, I think I see this as a chance to rethink and reimagine and drive Search to solve more use cases for our users as well. It’s early days, but you will see us be bold, put things out, get feedback and iterate and make things better.”
Pichai’s comments about the possible ChatGPT rival come as a report revealed this week that Microsoft is working to incorporate a faster version of ChatGPT, known as GPT-4, into Bing, in a move that would make its search engine, which today has only a sliver of search market share, more competitive with Google. The popularity of ChatGPT has seen Google reportedly turning to co-founders Larry Page and Sergey Brin for help in combating the potential threat. The New York Times recently reported that Page and Brin had several meetings with executives to strategize about the company’s AI plans.
During the call, Pichai warned investors and analysts that the technology will need to scale slowly and that he sees large language usage as still being in its “early days.” He also said that the company is developing AI with a deep sense of responsibility and that it’s going to be careful when launching AI-based products, as the company plans to initially launch beta features and then slowly scale up from there.
He went on to note that Google will provide new tools and APIs for developers, creators and partners to empower them to build their own applications and discover new possibilities with AI.
The Tesla transformation to a fully integrated design.
Join me and Cory Steuben as he reviews all the different ways Tesla has an advantage over their competitors from manufacturing, the factories, the business model and the team.
Between, Cory, Sandy and the other associates at Munro & Associates they are likely the best in the planet who knows the most about how different cars are made and about the auto industry and the competition in the auto industry.
Cory is the President of Munro & Associates who is the de facto leader in reverse engineering and teardown benchmarking. They tear down all sorts of cars and they know every single part and every single price, the supply chain and what it takes to manufacture these parts.
Cory Steuben on Twitter:@corysteuben.
If your work involves analyzing and reporting on data, then it’s understandable that you might feel a bit concerned by the rapid advances being made by artificial intelligence (AI). In particular, the viral ChatGPT app has captured the imagination of the general public in recent months, acting as a powerful demonstration of what AI is already capable of. For some, it may also seem like a warning about what might be in store for the future.
Undoubtedly, one of the strengths of AI is its ability to make sense of large amounts of data – searching out patterns and putting it into reports, documents, and formats that humans can easily understand. This is the day-to-day “bread and butter” of data analysts as well as many other knowledge economy professionals whose work involves working with data and analytics.
It’s true that artificial intelligence – a term that generally, in business and industry, refers to machine learning – has been used for years in these fields. What ChatGPT and similar tools built on large language models (LLM) and natural language processing (NLP) bring to the table is that it can be easily and effectively used by anybody. If a CEO can simply say to a computer, “what do I need to do to improve customer satisfaction?” or “how can I make more sales?” do they need to worry about hiring, training, and maintaining an expensive analytics team to answer those questions?
Well, fortunately, the answer probably, is yes. In fact, as AI becomes more accessible and mainstream, that team may well become even more critical to the business than it already is. What is beyond doubt, though, is that their jobs will substantially change. So, here’s my rundown of how this technology may affect the field of data and analytics as it becomes mainstream in the near future.
Firstly, what are ChatGPT, LLMs, and NLP?
ChatGPT is a publicly-available conversational (or chatbot) interface powered by a LLM called GPT-3, developed by the research institute OpenAI. The LLM (Large Language Model) is part of a field of machine learning known as natural language processing, which essentially means that it enables us to talk to machines, and for them to reply to us in “natural” (i.e., human) languages. In short, this means that we can ask it a question in English, or in fact, one of almost 100 languages. It can also read, understand and generate computer code in a number of popular programming languages, including Python, Javascript, and C++. We’ve gotten used to interacting with NLP technology for some time now thanks largely to AI assistants like Alexa and Siri, but the LLM powering GPT-3 and ChatGPT is orders of magnitude larger, enabling it to understand far more complex inputs and provide far more sophisticated outputs.
Proto is betting that companies will view their 7-foot-tall holographic projection boxes as an alternative for in-person meetings. At least a half-dozen startups and giants like Google and Microsoft already are.
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