Lifeboat Foundation

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.

What can Napster tell us about the future?

Alphabet is likely to hear competition questions surrounding OpenAI’s ChatGPT when Google’s parent company releases Q4 earnings results.

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.”

Continue reading “ChatGPT parent OpenAI faces a blockchain rival as a new NFT project creates 3D avatars from text” »

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.

Continue reading “StrictlyVC in conversation with Sam Altman, part one” »

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.”

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.

Stanford researchers created DetectGPT, a tool to help teachers and others identify content generated by ChatGPT and similar large language models (LLMs).

ChatGPT has been a topic of concern since the introduction of the chatbot. OpenAI, the maker of ChatGPT, after the controversy, confirmed that they are working on a tool to detect ChatGPT-generated content.

DetectGPT is a tool designed to detect ChatGPT content and other similar tools. Researchers found that text generated by ChatGPT LLMs “occupy negative curvature areas of the model’s log probability function.”

Scientists from SETI and other institutes engaged in the search for alien life have discovered eight previously undetected “signals of interest” around nearby stars using machine learning.