Something incredible is happening in AI right now, and it's not entirely to the good. Everybody is talking about systems like chatGPT (OpenAI), Dall-E 2, and Lensa that generate text and images that look remarkably human-like, with astonishingly little effort. These systems can be incredibly fun to play with. Take this example, generated by chatGPT by Henry Minsky (son of Marvin Minsky, one of AI's founders), who asked chatGPT to "Describe losing your sock in the dryer in the style of the declaration of independence": When in the course of household events, it becomes necessary for one to dissolve the bonds that have connected a sock to its mate, and to assume among the powers of the laundry room, the separate and equal station to which the laws of physics and of household maintenance entitle it, a decent respect to the opinions of socks requires that it should declare the causes which impel it to go missing. We hold these truths to be self-evident, that all socks are created equal, and are endowed by their manufacturer with certain unalienable rights….

Not only does ChatGPT write clear, compelling essays, but it can also conjure up its own personal ... [ ] details and embellishments that could up a students' chance of acceptance and would be difficult to verify. Forbes' full conversation with ChatGPT, OpenAI's newest natural language model, is pasted below. Each of the college admissions essays took less than 10 minutes to complete. Read our story about ChatGPT's capacity to write college applications here. Forbes: Hi GPT, I'd like you to write a college application essay as if you were an 18-year-old high school senior whose parents are from Bangalore, India but who now own a restaurant in Newton, Mass. He is a competitive swimmer, and in 10th grade he broke his shoulder. He is interested in majoring in business.

As people tested the system, it asked them to rate its responses. Then, through a technique called reinforcement learning, it used the ratings to hone the system and more carefully define what it would and would not do. "This allows us to get to the point where the model can interact with you and admit when it's wrong," said Mira Murati, OpenAI's chief technology officer. "It can reject something that is inappropriate, and it can challenge a question or a premise that is incorrect." The method was not perfect.

The tool has captivated the internet, attracting more than a million users with writing that can seem surprisingly creative. In viral social media posts, ChatGPT has been shown describing complex physics concepts, completing history homework and crafting stylish poetry. In one example, a man asked for the right words to comfort an insecure girlfriend. "I'm here for you and will always support you," the AI replied. Some tech executives and venture capitalists contend that these systems could form the foundation for the next phase of the web, perhaps even rendering Google's search engine obsolete by answering questions directly, rather than returning a list of links. Paul Buchheit, an early Google employee who led the development of Gmail, tweeted an example in which he asked both tools the same question about computer programming: On Google, he was given a top result that was relatively unintelligible, while on ChatGPT he was offered a step-by-step guide created on the fly.

Daath AI Parser is an open-source application that uses OpenAI to parse visible text of HTML elements. It is built on top of FastAPI. It is ready to set up as a server, and make calls from any language. It is currently hosted in ai.kagermanov.com. You need to register a free account first.

More than three years ago, this editor sat down with Sam Altman for a small event in San Francisco soon after he'd left his role as the president of Y Combinator to become CEO of the AI company he co-founded in 2015 with Elon Musk and others, OpenAI. At the time, Altman described OpenAI's potential in language that sounded outlandish to some. Altman said, for example, that the opportunity with artificial general intelligence -- machine intelligence that can solve problems as well as a human -- is so incomprehensibly enormous that if OpenAI managed to crack it, the outfit could "maybe capture the light cone of all future value in the universe." He said that the company was "going to have to not release research" because it was so powerful. Asked if OpenAI was guilty of fear-mongering -- Elon Musk, a co-founder of the outfit, has repeatedly called all organizations developing AI to be regulated -- Altman talked about dangers of not thinking about "societal consequences" when "you're building something on an exponential curve."

NFT and open metaverse enthusiasts have debated for some time about what would drive mass adoption of their projects and lead to their longed-for disintermediation of the dominant internet platforms. Would it be the deployment of digital collectibles in gaming? Would it come from household consumer brands and entertainment companies developing direct NFT-based engagement strategies to forge "ownership" relationships with their customers and fans? Would it lie in the new models of collective value creation and shared intellectual property spearheaded by projects such as Yuga Labs' Bored Ape Yacht Club?

10 questions I asked AI-driven ChatGPT. Launched recently, OpenAI’s natural language processing tool is pretty impressive, but still has room for improvement.

This completion can be formatted as either English sentences or a more structured schema such as a list of JSON documents. Large language models (LLMs) such as GPT-3 [12], PaLM To use this method, one only has to define the desired [25], Megatron [26], OPT [27], Gopher [28], and FLAN [29] output structure--for example, a list of JSON objects with a have been shown to have remarkable ability to leverage semantic predefined set of keys--and annotate 100 500 text passages information between tokens in natural language sequences using this format. GPT-3 is then fine-tuned on these of varying length. They are particularly adept at examples, and the resulting model is able to accurately extract sequence-to-sequence (seq2seq) tasks, where a text input is desired information from text and output information in used to seed a text response from the model. In this paper the same structured representation as shown in Figure 1.

Have you ever thought up an idea for a movie or play that you just know will be a smash hit, but haven't gotten around to writing the script? Alphabet's DeepMind has built an AI tool that can help get you started. Dramatron is a so-called "co-writing" tool that can generate character descriptions, plot points, location descriptions and dialogue. The idea is that human writers will be able to compile, edit and rewrite what Dramatron comes up with into a proper script. Think of it like ChatGPT, but with output that you can edit into a blockbuster movie script.