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Category: robotics/AI – Page 1,325

One Negative Chatbot Experience Drives Away 30% Of Customers

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.

IBM AI Helps NASA Researchers Mine Earth Data

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.

Report: Microsoft plans to update Bing with a faster version of ChatGPT in the coming weeks

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.

Snap hints at future AR glasses powered by generative AI

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.

ChatGPT parent OpenAI faces a blockchain rival as a new NFT project creates 3D avatars from text

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.

StrictlyVC in conversation with Sam Altman, part one

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

ChatGPT’s New Tool for Detecting Text Written by AI Doesn’t Work Very Well

OpenAI, which released the viral ChatGPT chatbot last year, unveiled a tool that’s intended to help show if text has been authored by an artificial intelligence program and passed off as human.

The tool will flag content written by OpenAI’s products as well as other AI authoring software. However, the company said “it still has a number of limitations — so it should be used as a complement to other methods of determining the source of text instead of being the primary decision-making tool.”

New AI classifier for indicating AI-written text

We’re launching a classifier trained to distinguish between AI-written and human-written text.

We’ve trained a classifier to distinguish between text written by a human and text written by AIs from a variety of providers. While it is impossible to reliably detect all AI-written text, we believe good classifiers can inform mitigations for false claims that AI-generated text was written by a human: for example, running automated misinformation campaigns, using AI tools for academic dishonesty, and positioning an AI chatbot as a human.

Our classifier is not fully reliable. In our evaluations on a “challenge set” of English texts, our classifier correctly identifies 26% of AI-written text (true positives) as “likely AI-written,” while incorrectly labeling human-written text as AI-written 9% of the time (false positives). Our classifier’s reliability typically improves as the length of the input text increases. Compared to our previously released classifier, this new classifier is significantly more reliable on text from more recent AI systems.

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