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Category: robotics/AI – Page 1032

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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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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OpenAI, the creator of the language tool ChatGPT and image generator Dall-E, could be facing some new, three-dimensional competition on the blockchain.

Polygon is working with Alethea AI to launch CharacterGPT, an artificial-intelligence-powered non-fungible token (NFT) project that describes itself as “the world’s first multimodal AI system.”

In an introductory video, the brand says users will be able to type in text to generate responsive characters with “unique personalities, identities, traits, voices, and bodies.” Users can mint the NFTs at mycharacter.ai.

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At our StrictlyVC event a few nights ago, Altman was generous with his time, spending an hour with those gathered to talk about the latest at OpenAI (the hottest startup in the world at the moment), as well as answering questions about how his other investments fit into larger themes that he expects to play out — and in the not-distant future.

This is part one of that interview, focused on Altman’s investments, including in Helion Energy, a nuclear fusion company that Altman described at the event as “the other thing beside OpenAI that I spend a lot of time on.” We also talked Twitter, supersonic jets, making babies out of skin cells, and why he’s “not super interested” in crypto.

You can find the second part of our talk, focused on OpenAI, here: https://www.youtube.com/watch?v=ebjkD1Om4uw

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