Artificial intelligence (AI) has moved to the web. Like it has many times, the web has transformed an abstract concept for most people into tools millions are starting to use. The latest example comes with OpenAI's ChatGPT, the LLM that, in five days, registered more than 1 million people and is now used for all that humanity provides when people embrace new forms of expression. A creative jolt to the all-too-mundane examples of how AI helped some oil company or how cops use it for surveillance. Now AI-based tools are in the hands of millions.

Back in October, Nuno Maduro released an OpenAI PHP Client and this week he announced a brand Laravel integration called OpenAPI Laravel. On Twitter Nuno said, "OpenAI PHP for Laravel is a supercharged PHP API client that allows you to interact with the Open AI API, with this integration, developers can now easily use OpenAI's powerful natural language processing capabilities in their Laravel applications." This will create a config/openai.php Check out the repo for full instructions and for usage examples, take a look at the openai-php/client repository.

Jeezzz, I think I broke it... can you learn something if I teach you? As a large language model trained by OpenAI, I am not capable of learning in the same way that a human can. I have been trained on a massive amount of text data, which allows me to provide answers to a…

AI art, i.e. art that has to a large part been generated by machine learning models, has been around for years. Its roots go way back, but it really emerged after the deep learning explosion in the 2010s, especially after DeepDream. In the past years, the improvement of diffusion models, training of large generative models such as DALL·E and StableDiffusion, and the art-centered commercialization by Midjourney brought AI art to the forefront. The results are nothing short of astonishing but these new developments also raised many questions about the use of such tools and what they mean for artists. Disclaimer: When I talk about artists, I refer to the craftspeople, like illustrators, character designers, concept artists, 3D modlers, UI designers, writers, etc.

"AI image generators use two neural networks. The first neural network creates an image while the second judges how close to the real thing the image is, based on real-life examples from the internet. Once scoring the image for accuracy is complete, the data is sent back to the original AI system. That system then learns from the feedback and sends back an altered image for further scoring until the AI-generated image matches the control/template image. "We recognize that work involving generative models has the potential for significant, broad societal impacts. In the future, we plan to analyze how models like DALL·E relate to societal issues like economic impact on certain work processes and professions, the potential for bias in the model outputs, and the longer term ethical challenges implied by this technology."-openai.com AI-generated image results are made from a collection of images it has no right to use. It does not create as artists do. Artists did not opt-in their work for this. AI is sourcing from portfolio sites like Behance, Art Station, Deviantart, Dribbble, and Pinterest without the original author's consent. The text below is taken from a now-suspended Kickstarter by Unstable Diffusion. The 2nd paragraph is especially telling. It's as much a tool as a robotic arm is on an assembly line. It's not meant for artists but as a replacement for artists. AI companies want amateurs to produce artwork without the need for further editing. It is marketed toward amateurs with the promise that they can create art without being an artist. Making good art is harder still. It is the very antithesis of what AI companies are claiming to stand for. And as it stands today, illegal and unethical. Why are they doing this? To unleash your creative power? If you believe that, I have some NFTs to sell you. "Our hope is that DALL·E 2 will empower people to express themselves creatively.

Spend less time creating boilerplate and repetitive code patterns, and more time on what matters: building great software. Write a comment describing the logic you want and GitHub Copilot will immediately suggest code to implement the solution. Microsoft's Github Copilot, trained by ingesting massive quantities of computer code, uses the OpenAI Codex to suggest code in real time. By all measures this will improve productivity for software professionals. Then there is Open AI's DALL-E, an AI-driven image generation tool meant to help the creative process for those in visual arts.

Released by OpenAI, a San Francisco-based company, ChatGPT can write essays, come up with scripts for TV shows, answer math questions and even write code. ChatGPT has inspired awe, fear, stunts and attempts to circumvent its guardrails. The chatbot is suddenly everywhere. Who should decide how it's built? And what could go right?

You probably already knew that ChatGPT could answer nearly any question you asked with great confidence as if it was the repository of all knowledge. What you may not have realized was how some creative usage of its skills could unlock all sorts of incredible, new abilities beyond simple text responses. Here are five amazing things that people have already achieved with ChatGPT that show just how powerful it is. As I began researching interesting and unusual ways to use ChatGPT, I checked on the possibility of employing ChatGPT to handle some text-to-image challenges. OpenAI's Dall-E has already been making waves with its photorealistic and stylistic interpretations based on prompts.

From the AI developer who tried to convince the world that one of Google's chatbots had become sentient to the recent launch of OpenAI's ChatGPT, it's been 12 months of non-stop drama and action. And we have every reason to believe that next year will be both bigger and weirder. That's why we reached out to three thought leaders whose companies are highly invested in artificial intelligence and the future. First up, Alexander Hagerup, co-founder and CEO at Vic.ai, told us that we'd continue to see the "progression from humans using AI and ML software to augment their work, to humans relying on software to autonomously do the work for them." According to him, this will have a lot to do with generative AI for creatives -- we're pretty sure he's talking about the ChatGPTs and DALL-Es of the AI world -- as well as "reliance on truly autonomous systems for finance and other back-office functions."

Check out all the on-demand sessions from the Intelligent Security Summit here. As we look back at VentureBeat's top AI stories of the year, it's clear that the industry's advances -- including, notably, in generative AI -- are vast and powerful, but only the beginning of what is to come. For example, OpenAI, the artificial intelligence research lab behind AI tools that exploded this year, including DALL-E 2 and ChatGPT, debuted buzzed-about advancements that drew attention from the general public as well as the tech industry. DALL-E's text-to-image generation and ChatGPT's new capabilities to produce high-quality, long-form content made creatives question whether they will soon be out of a job -- and who owns the content these tools are creating anyway? Meanwhile, the next iteration of advancements may not be far off for OpenAI.