5 wild new AI tools you can try right now

The video explores the rapid advancements in generative AI tools, showcasing new technologies such as Sora, Vo, and Cling for creating realistic videos. It also highlights tools like Bright Data for data collection, Stable Diffusion 3 Medium for text-to-image generation, an AI sound effect generator from 11 Labs, Mistol’s Codestroll for coding tasks, and Cursor, an AI-focused code editor, illustrating the potential impact of AI technology on various industries.

In a video that explores the advancements of generative AI tools, the presenter discusses the rapid progress made in the field over the course of a year. Initially, the mention of a video featuring Will Smith eating spaghetti as a fake but humorous example of AI manipulation sets the stage for the video’s theme. The presenter highlights the emergence of new generative AI tools such as Sora, Vo, and Cling, which can create realistic videos but are not yet available to the public. However, a tool called the Dream Machine from Luma Labs allows users to create relatively realistic video clips, such as the infamous Will Smith eating spaghetti scene.

The video transitions to discuss the importance of data collection for AI models and introduces Bright Data, a sponsor that offers a scraping browser API to enhance web scraping capabilities. Moving on to AI tool developments, Stable Diffusion 3 Medium is introduced as an advanced open text-to-image model that can generate high-quality images from prompts. Additionally, an AI-generated sound effect generator from 11 Labs is showcased, demonstrating the ability to produce various sound effects based on descriptions provided by users, blurring the line between real and AI-generated content.

The presenter introduces Mistol’s Codestroll, a new AI model that excels in coding benchmarks and shows promise in code generation tasks. Despite its impressive performance, the model still faces challenges in certain coding tasks, such as centering a div. The video then delves into the debate surrounding AI code generation, highlighting the divide between those who advocate for AI-driven coding and those who are skeptical of its efficacy. An AI-focused code editor called Cursor, which operates based on natural language input and context, is presented as a tool that can assist developers in writing code more efficiently.

In conclusion, the presenter acknowledges the significant advancements made in generative AI tools within a short span of time, posing a potential threat to traditional industries such as photography, videography, sound engineering, and programming. The video serves as a testament to the rapid evolution of AI technology and its increasing impact on various sectors. Despite the progress, the presenter emphasizes the ongoing development needed in generative AI tools, suggesting that the field still has a long way to go. Overall, the video provides a comprehensive overview of five new AI tools that showcase the innovative capabilities of AI technology and its potential implications for the future.