During the past six months, we have witnessed some incredible developments in AI. The release of Stable Diffusion forever changed the artworld, and ChatGPT-3 shook up the internet with its ability to write songs, mimic research papers and provide thorough and seemingly intelligent answers to commonly Googled questions. However, most of these generative AI models are foundational models: high-capacity, unsupervised learning systems that train on vast amounts of data and take millions of dollars of processing power to do it. Currently, only well-funded institutions with access to a massive amount of GPU power are capable of building these models. The majority of companies developing the application-layer AI that's driving the widespread adoption of the technology still rely on supervised learning, using large swaths of labeled training data.

Awesome ChatGPT A curated list of awesome ChatGPT resources and GPT-3 from OpenAI, libraries, SDKs, APIs, extensions, tools, apps, and much more. ChatGPT app ChatGPT overview ChatGTP Discord OpenAI API Documentation chatGPT launch blog Developer Libraries, SDKs, and APIs Python ChatGPT : Lightweight package for interacting with ChatGPT’s API by OpenAI. Uses reverse engineered official […]

Sam Altman may be tech's next household name, but many Americans probably haven't heard of him. To anyone outside San Francisco, Altman would probably seem like just another young tech CEO. He's a Stanford University dropout who sold a tech startup years ago for a fortune, and he's spent the past decade investing and coaching other entrepreneurs. He posts confident and sunny life advice on Twitter and peppers his conversation with references to line graphs. But in the past three months, Altman, 37, has rocketed to the top of the tech industry's power rankings on the back of OpenAI.

Snapchat is the first social platform to integrate generative AI into its messaging app, with the launch of a new chatbot called ‘My AI’. My AI is designed to provide AI-generated responses to queries posed by Snapchat+ subscribers. Snap is hoping that the addition of My AI will help drive up Snapchat+ subscriptions.

Since ChatGPT was launched in November, a new mini-industry has mushroomed that has defied the broader slump in tech. Not a week goes by without someone unveiling a "generative" artificial intelligence (AI) underpinned by "foundation" models--the large and complex algorithms that give ChatGPT and other AIs like it their intelligence. On February 24th Meta, Facebook's parent company, released a model called LLaMA. This week it was reported that Elon Musk, the billionaire boss of Tesla and Twitter, wants to create an AI that would be less "woke" than ChatGPT. One catalogue, maintained by Ben Tossell, a British tech entrepreneur, and shared in a newsletter, has recently grown to include, among others, Ask Seneca (which answers questions based on the writings of the stoic philosopher), Pickaxe (which analyses your own documents), and Issac Editor (which helps students write academic papers).

The voluntary recommendations were put together by the Partnership on AI (PAI), an AI research nonprofit, in consultation with over 50 organizations. PAI's partners include big tech companies as well as academic, civil society, and media organizations. The first 10 companies to commit to the guidance are Adobe, BBC, CBC/Radio-Canada, Bumble, OpenAI, TikTok, Witness, and synthetic-media startups Synthesia, D-ID, and Respeecher. "We want to ensure that synthetic media is not used to harm, disempower, or disenfranchise but rather to support creativity, knowledge sharing, and commentary," says Claire Leibowicz, PAI's head of AI and media integrity.

The companies touting new chat-based artificial-intelligence systems are running a massive experiment--and we are the test subjects. In this experiment, Microsoft, OpenAI and others are rolling out on the internet an alien intelligence that no one really understands, which has been granted the ability to influence our assessment of what's true in the world.

Top uses for AI in the financial services sector include'next-best action' systems; portfolio optimization; and fraud detection. The recent attention showered on ChatGPT, the natural- language processing tool developed by Microsoft-backed OpenAI that can reportedly mimic advanced conversations and writing tasks, was likely not lost on CFOs. Financial executives are increasingly aware that they must strike a delicate balance between supporting C-suite enthusiasm for AI initiatives while conserving scarce resources. AI's long-term potential, however, is leading executives to prioritize it, according to a study released by tech firm Nvidia this month. The percentage of financial services executives surveyed who said their executive leadership teams value and believe in AI has more than doubled to 64% from 36% of those polled last year, the Santa Clara, Calif.-based Nvidia reported.

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It'll be back, of course, but if you're looking for a more reliable solution then you need to check out these 5 awesome ChatGPT alternatives… ChatGPT has taken the world by storm, giving people from all walks or life their first taste of what AI can really do. But millions of people woke up this week to find that ChatGPT was down and this, of course, caused quite a few headaches for ChatGPT's millions of users. Because ChatGPT is hosted on OpenAI's servers, when things go wrong – OpenAI has an issue with its servers or something else – the entire platform goes down. But there are now plenty of ChatGPT alternatives that run on the exact same source code as ChatGPT. And because these ChatGPT alternatives are not run or hosted by OpenAI, they're far less likely to crash or go down simply because they have much lower volumes of users on their servers.