magic VS com.openai.unity

We already have several clients that are using our AI chatbot for these purposes - However, probably the best use case is our own software system, which is highly complex, and therefor difficult to initially understand. We get a lot of questions about Magic Cloud, and even though I love answering these questions, a lot of questions can be automated by the AI.

I've got an AI chatbot company, and because of that, I have to somehow relate to Google code. Google code is everywhere, and creating a website without using Google code is almost impossible for these reasons. Google Analytics being one reason, and Google reCAPTCHA being another reason. If you've got a website, there's a 99% probability that your site is running some Google code.

As an additional bonus, it completely eliminates all Postman script kiddies, since the client must be able to execute code to create a valid token. It also eliminates reusing the same token for multiple servers, since each server has their own unique public key - In addition to that you get to market your AI chatbot as "powered by Blockchain technology", and you can actually say that out loud with a straight face, without lying ... 🤪

As an AI chatbot provider, we need some serious bot protection to prevent malicious users from creating bots that attacks us. Google reCAPTCHA of course is "the industry standard" here, which I'm sure most readers are aware of.

I just swapped out Google Analytics with Plausible for AINIRO.IO. It’s only been a week, but so far I am super jazzed about it. First of all, Plausible doesn’t use cookies, so I can completely drop all cookie disclaimers and popups I had because of GDPR. Second of all, the site scores significantly better on load time. This results in a 10x better user experience for my website visitors, while making sure the website is still 100% conforming to GDPR laws.

After having owned an AI chatbot company for more than a year, I finally did what I'm supposed to do before I even start a company; I did a Competitor analysis - And o'boy should I have done it earlier.

We've got an AI chatbot for instance. On every single neutral parameter it's 10,000 times better than 99.99% of everything else out there. However, at ProductHunt you will have to go to "page 11,670" before you'll find our AI chatbot.

In addition I've got zero contributions to my primary projects. Some guy contributed to Lizzie a couple of years ago, but my primary project has zero contributions. Notice, I happen to know for a fact that there are a whole range of really, really, really rich companies using Magic for instance, some of whom are cashing in millions of dollars in profit every single year.

In addition Magic Cloud has now become a real business model, with a quite substantial amount of revenue, through our AI and Low-Code hosting provider. So to avoid having leeches exploiting our work for free without contributing in any ways, it's therefor with heavy heart we announce that all future releases of Magic will be in the form of closed source distributions.

I have an open source project myself, and I am building an AI and Low-Code/No-Code platform company on top of it. Contrary to SupaBase though, I have spent 4 years creating real value in my platform. The project solves a real problem, it consists of a lot of real innovations, and I’ve spent a lot of time building it.

I am trying to block the OpenAI website through Defender web filtering for Windows and macOS. It seems to block fine on Edge, but not for Chrome when trying to block the subdomains like chat.openai.com. If we try openai.com then this gets blocked fine on both Chrome and Edge.

NeuralPit platform allows team members to collaborate on projects and seamlessly upload and analyze data in various formats, such as PDF, DOCX, Excel, CSV, video, audio, website URLs, YouTube links, and images. Allow teams to unearth insights, brainstorm ideas, and visualize and interact with data anytime, anywhere. NeuralPit provides small and medium businesses, as well as professionals, with access to features similar to those of Microsoft Copilot and OpenAI, but at significantly lower costs, particularly for teams.

If you have been keeping up to date with the Spring ecosystem, you may have heard about the Spring AI Project, It is currently in its pre-release state but it provides an innovative abstraction toolkit fostering AI integration across applications. The experimental Spring AI project was introduced during the SpringOne conference and allows the creation of AI applications by using common concepts of Spring. Currently, the project integrates Azure OpenAI and OpenAI as AI backends. Use cases like content generation, code generation, semantic search, and summarization are supported by the project.

The official Todoist website can be found at https://todoist.com, and information about OpenAI is available at https://openai.com. The names Todoist and OpenAI as well as related names, marks, emblems, and images are registered trademarks of their respective owners.

A Generative Pre-Trained Transformer (GPT) is a type of Large Language Model (LLM) and they are the hot topic in the technology world this year and many companies are scrambling to add this technology to their products. Creating and training these large models can be a very complex, time consuming and expensive. You may think that you cannot use this technology since it is so complex and expensive but companies like OpenAI have done a ton of work to create useful models and setup platforms exposing APIs to use them. If you have ever used an API where you send some data in, it does some magic behind the scenes and you get some data to use in a response, then you can integrate this cutting edge technology into your application. Let’s take a look at how we can setup a Full stack web app which lets us ask questions sent to OpenAI and stream the response.

OpenAI