The tool is particularly interesting in the context of AI's disruptive effect on the creative industries -- including stock image companies that rely on watermarks to protect their content. Stock image giant Shutterstock recently introduced its own text-to-image generator based on OpenAI's DALL-E 2, and Adobe Stock has also welcomed the technology by accepting AI-generated content for sale on its platform. This is despite criticism from creatives that their content is often scraped from the web without compensation or consent to train these same systems.

The era of AI-generated conversational search is, apparently, here. On 16th December I published a piece about whether ChatGPT could pose a threat to Google, as many were already suggesting that it might, just two and a half weeks on from the chatbot's release. At the time of writing, neither Google nor Microsoft – a major backer of ChatGPT's parent organisation, OpenAI – had indicated any plans to actually integrate technology like ChatGPT into their search engines, and the idea seemed like a far-off possibility. While ChatGPT is an impressive conversational chatbot, it has some significant drawbacks, particularly as an arbiter of facts and information: large language models (LLMs) like ChatGPT have a tendency to "hallucinate" (the technical term) and confidently state wrong information, a task that ChatGPT's makers have called "challenging" to fix. But the idea of a chat-based search interface has its appeal.

By investing in the next generation of AI startups, OpenAI could cement its status as the go-to AI model developer -- and chart a course toward profitability. We break down where it's investing and the areas it could target next.

Artificial Intelligence (AI) is coming into our world fast. If you are not familiar with any of these, check them out. AI technology will become the way of the future soon – sparking creativity and expanding the range of what's possible. AI technology will become the way of the future soon – sparking creativity and expanding the range of what's possible.

The world's first generative AI-powered search engine is here, and it's in love with you. Or it thinks you're kind of like Hitler. Or it's gaslighting you into thinking it's still 2022, a more innocent time when generative AI seemed more like a cool party trick than a powerful technology about to be unleashed on a world that might not be ready for it. If you feel like you've been hearing a lot about generative AI, you're not wrong. After a generative AI tool called ChatGPT went viral a few months ago, it seems everyone in Silicon Valley is trying to find a use for this new technology. Generative AI is essentially a more advanced and useful version of the conventional artificial intelligence that already helps power everything from autocomplete to Siri.

OpenAI's ChatGPT is an artificial intelligence chatbot that uses Natural Language Processing (NLP) to understand and respond to user queries naturally and conversationally. It is being described as most popular internet app ever. It turns out that it was originally released as a "research preview" for two-year-old technology that was being prepared for something much grander. Its reception has come as a complete surprise to the OpenAI team who have been running to catch up and build on its success since November 2022. It's a fine-tuned version of Generative Pretraining Transformer-3.5 (GPT-3.5), a family of large language models (LLPs) that OpenAI released shortly before ChatGPT GPT-3.5 is itself an updated version of GPT-3, which appeared in 2020.

Top cloud providers are jostling to sign deals with artificial intelligence startups that need computing resources as they chase OpenAI, maker of ChatGPT. An improbable early leader in the race to rent servers to these startups is Oracle, a longtime laggard in the cloud field that had developed reputational problems with some longtime customers over its aggressive sales tactics. At least six venture-backed AI startups, including Character.ai Two founders of AI startups who have used various cloud providers told The Information that Oracle can run complex machine-learning models more economically than Amazon Web Services or Google Cloud.

ChatGPT 4 is coming, and rumors suggest it might bring massive improvements to the already incredibly impressive language skills of OpenAI's ChatGPT. To be clear, ChatGPT 4 is unlikely to be the name of OpenAI's next product, but we took a bit of creative license and combined the ChatGPT name with the improved AI model that will drive it in the future, GPT-4. Let's dig into GPT-4, how ChatGPT works now, and when OpenAI might release its next major upgrade. GPT-4 is a new language model being created by OpenAI that can generate text that is similar to human speech. It will advance the technology used by ChatGPT, which is based on GPT-3.5.

On 14 February, Kevin Roose, the New York Times tech columnist, had a two-hour conversation with Bing, Microsoft's ChatGPT-enhanced search engine. He emerged from the experience an apparently changed man, because the chatbot had told him, among other things, that it would like to be human, that it harboured destructive desires and was in love with him. The transcript of the conversation, together with Roose's appearance on the paper's The Daily podcast, immediately ratcheted up the moral panic already raging about the implications of large language models (LLMs) such as GPT-3.5 (which apparently underpins Bing) and other "generative AI" tools that are now loose in the world. These are variously seen as chronically untrustworthy artefacts, as examples of technology that is out of control or as precursors of so-called artificial general intelligence (AGI) – ie human-level intelligence – and therefore posing an existential threat to humanity. Accompanying this hysteria is a new gold rush, as venture capitalists and other investors strive to get in on the action.

When Prometheus stole fire from the gods to gift it to mortals, he enabled humans to begin civilization. But he still had to pay dearly for his crime, being bound to a rock as an eagle pecked out his liver. The lesson of the Greek myth is that while new technology can bring revolutionary benefits, there is always a price to pay in exchange. Creators of new technology may be the focus of the ire, but its users can still get burned. It's a myth that technology leaders should keep in mind as they consider the booming generative AI products market.