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Yann LeCun, Meta’s chief artificial intelligence (AI) scientist shared his thoughts on ChatGPT.

ChatGPT has been making headlines worldwide, but not all are impressed. Yann LeCun, Meta’s chief artificial intelligence (AI) scientist, had some harsh words for the program in an hour-and-a-half talk hosted by the Collective Forecast. This online, interactive discussion series is organized by Collective.

“In terms of underlying techniques, ChatGPT is not particularly innovative,” said LeCun on Zoom last week.

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This is still the beginning of what AI can possibly do.

IBM’s Watson supercomputer is working wonders in an area where OpenAI’s ChatGPT does not have much to offer, the stock market. An exchange-traded fund (ETF) is using the power of artificial intelligence (AI) to balance its portfolio and has done pretty well for itself this year, ETF.

PhonlamaiPhoto/iStock.

ChatGPT responded that the stock market was too hard to predict and that it did not have access to live stock data. However, ETF Managers Group, in partnership with a fintech firm Equbot has been using AI to pick holdings in the $102 million AI-powered Equity ETF (AIEQ) since 2017. The fund has doubled the returns on the Vanguard Total Stock Market ETF (VTI) this year.

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Researchers stress that the classifier is “not fully reliable.”

Two months after OpenAI introduced ChatGPT to the public, students flocked to the AI tool to write their assignments, exams, software codes, and whatnot. This resulted in universities beginning to crack down on the usage of ChatGPT. A few science journals even banned the use of the chatbot in their journals.

In what sounds like a solution, OpenAI themselves have released a tool designed to detect if the text has been written by artificial intelligence. In a blog post on Tuesday, OpenAI elaborated on the tool that has been trained to figure out if the text is written by a human or generated by AI, including ChatGPT.

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The first time a language model was used to synthesize human proteins.

Of late, AI models are really flexing their muscles. We have recently seen how ChatGPT has become a poster child for platforms that comprehend human languages. Now a team of researchers has tested a language model to create amino acid sequences, showcasing abilities to replicate human biology and evolution.

The language model, which is named ProGen, is capable of generating protein sequences with a certain degree of control. The result was achieved by training the model to learn the composition of proteins. The experiment marks the first time a language model was used to synthesize human proteins.

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The YouTuber has received nearly 70 million views for his video.

MrBeast, the popular YouTuber, has helped 1,000 people see again by offering them free surgery. A trained surgeon completed the procedure, and the joy of those who underwent surgery knew no bounds. The entire event video was uploaded on Sunday and has so far gathered nearly 70 million views.

To clarify, the YouTuber isn’t promising some radically new treatment that allows blind people to see. Instead, it is a simple 10-minute procedure used to treat cataracts and is well-tested with quantifiable benefits. Before we get into the details, here’s where it can be used.

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AI startup unicorn OpenAI is now ready to make money off its popular AI chatbot released in November.

OpenAI has launched its first subscription plan for ChatGPT, opening up the popular AI model for business use just two months after its public launch.

The new plan, called ChatGPT Plus and announced in a company blog post on Wednesday, will charge subscribers $20 for monthly use of ChatGPT’s tools. Users will get priority access to ChatGPT “during peak times,” faster responses, and “priority access to new features and improvements,” the company wrote. The subscription is only available initially in the United States and will roll out to a waitlist first.

AI unicorn OpenAI is ready to make money off its popular AI chatbot released in November.

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A new survey of 1,554 consumers worldwide about their recent chatbot experiences was released today. The respondents gave their chatbot experiences an average rating of 6.4÷10 or 64%. 50% of consumers said they often feel frustrated their interactions with chatbots and nearly 40% of these interactions were said to be negative. The survey was commissioned by Forrester Consulting on behalf of Cyara.

In general, consumers view chatbots favorably, as they provide 24/7 support, faster response times, and autonomy. As a result, chatbots typically rank higher than speaking directly with an agent or any other digital channel of communication.

Nearly 40% of consumer experiences with chatbots are negative.

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NASA has a massive amount of data and it receives more every day. While some of the data is processed immediately, much of the data is archived to be processed later, sometimes years later. This situation needs to change if researchers are to utilize the data to investigate critical issues with dynamically changing characteristics like global climate change. To increase its ability to process and use this data in a timely manner, NASA’s Marshall Space Flight Center announced a joint development program with IBM Research to process the NASA data using IBM’s foundation AI technology.

To put this task into perspective, the GPT-3 data set, which led to the development of ChatGPT AI platform that recently passed a Wharton MBA exam, represents about 45TB (terabytes) of data. By comparison, NASA estimates that its data set could be upwards of 250PB (petabytes). With 1PB equal to 1,000TB, the NASA data set is over 5,000 times larger than the GPT-3 data set, making this a monumental task, but the benefits could be ground-breaking.

Previously, IBM estimated that 90% of data collected is never used, and in their press invitation, IBM and NASA noted that “Currently, half of all scientific findings come from archived data, which makes it challenging for researchers to study ever-evolving threats such as climate change.” Efficiently mining the enormous amount of archival data needs the power of AI. IBM Research’s massive cloud resources, the collective experiences of the company’s AI experts, and its AI foundation model technology will help NASA filter and analyze earth-science data in days or months rather than years or even decades.

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Microsoft is working to incorporate a faster version of OpenAI’s ChatGPT, known as GPT-4, into Bing in the coming weeks in a move that would make the search engine more competitive with Google, according to a new report from Semafor. The integration would see Bing using GPT-4 to answer search queries.

People familiar with the matter told Semafor that the main difference between ChatGPT and GPT-4 is speed. Although ChatGPT sometimes takes a up to a few minutes to form a response, GPT-4 is said to be a lot quicker in responding to queries. The latest software’s responses are also said to be more detailed and more humanlike.

The planned incorporation of ChatGPT into Microsoft products is expected to trigger new competition in internet search, which has largely been dominated by Google. By using GPT-4, Bing would be able to provide users with humanlike answers, as opposed to just simply displaying a list of links.

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Social media company and Snapchat maker Snap has for years defined itself as a “camera company,” despite its failures to turn its photo-and-video recording glasses known as Spectacles into a mass-market product and, more recently, its decision to kill off its camera-equipped drone. But that hasn’t stopped the company from envisioning a future where AR glasses are a commonly used device, and one, as the company revealed on Tuesday’s fourth-quarter earnings call, that will eventually be powered by AI technology.

Investors wanted to get a sense of how Snap was thinking about the latest developments in AI — particularly in buzzy areas like generative A.I. which has benefitted from advances in algorithms, language models, and the increased processing power available to run the necessary calculations. One pointed to the AI image generator Midjourney’s bot for Discord, as an example of how AI could lead to increased user engagement within an app.

Snap CEO Evan Spiegel agreed that, in the near term, there were a lot of opportunities to use generative AI to make Snap’s camera more powerful. However, he noted that further down the road, AI would be critical to the growth of augmented reality, including AR glasses.

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