5 wild new AI tools you can try right now
TLDRThe video script discusses the rapid advancements in generative AI, highlighting five new tools available for public use. These include video generation models like Sora and Google's Vo, and a new Chinese model, CLING. The Dream Machine by Luma Labs is showcased for creating realistic video clips, while the script also touches on data collection with tools like Bright Data's scraping browser API. It introduces Stable Diffusion 3 Medium for text-to-image generation, a sound effect generator by 11 Labs, and coding AI tools like Codastroll and Cursor, a VS Code fork. The summary emphasizes the potential impact of these AI tools on various industries and the progress made in the field.
Takeaways
- 🕊️ Generative AI technology has advanced significantly in a year, making fake videos like 'Will Smith eating spaghetti' in 2024 almost indistinguishable from reality.
- 📹 New AI tools like Sora, Google's 'vo', and China's 'cling' are creating realistic video content, but are currently not available to the public.
- 🎥 'Dream Machine' from Luma Labs is a new tool that allows users to create realistic video clips, though its practical applications are limited.
- 🤖 AI models require substantial data, and tools like residential proxies and web automation (Selenium, Puppeteer, Playwright) facilitate large-scale data scraping.
- 🔍 Bright Data, the video's sponsor, offers a scraping browser API that simplifies web scraping operations without the need for proxies or unblockers.
- 🖼️ 'Stable Diffusion 3 Medium' is an advanced open text-to-image model with impressive quality, but it's only available under a non-commercial license.
- 🎵 11 Labs has developed a sound effect generator that creates effects based on descriptions, challenging listeners to distinguish between real and AI-generated sounds.
- 💻 French startup 'Mistol' released 'Cod, stroll', an open model for code generation that performs well on coding benchmarks but isn't yet commercial.
- 🛠️ 'Cursor' is an AI-focused code editor that allows coding with natural language, enforcing rules and performing code reviews to ensure quality.
- 🔑 There's a divide in opinions on AI writing code, with some fully embracing it and others dismissing it, but the reality likely lies somewhere in between.
- 🚀 The rapid progress in generative AI over the past year is noteworthy and could be concerning for those in the industry, as highlighted by the 'Code Report'.
Q & A
What was the video about Will Smith eating spaghetti that took the world by storm a year ago?
-The video was a fake video of Will Smith eating spaghetti, which was created using generative AI technology. It was widely joked about and recognized as fake, showing the capabilities of AI at that time.
What is the potential impact of the advancements in generative AI on Hollywood idols and the entertainment industry?
-The advancements in generative AI could potentially put Hollywood idols out of business if the technology continues to improve at its current rate, as it could create realistic AI-generated actors that could replace real ones.
What are the five new generative AI tools mentioned in the video?
-The video mentions Sora, Google's AI video generation tool, Cling, a Chinese model for video generation, Dream Machine for creating realistic video clips, Stable Diffusion 3 for text-to-image generation, and a sound effect generator from 11 Labs.
What is the Dream Machine from Luma Labs, and how does it work?
-The Dream Machine is a tool that allows users to create relatively realistic video clips. It was used to generate a realistic video of Will Smith eating spaghetti, simulating scenarios that are hard to distinguish from real life.
Why is there no practical or commercial use for the Dream Machine yet?
-While the Dream Machine is impressive in simulating realistic scenarios, it currently lacks practical applications in commercial markets, mainly serving to generate simulated content for entertainment or demonstration purposes.
How does Bright Data's scraping browser API help with data collection on the web?
-Bright Data's scraping browser API simplifies the process of web scraping by eliminating the need for proxies and web unblockers. It provides a cost-effective solution for scraping data at scale, making web scrapers more efficient and less prone to errors.
What is Stable Diffusion 3, and what makes it stand out among other AI models?
-Stable Diffusion 3 is an advanced open text-to-image model that can reliably generate images from text prompts. It stands out for its high-quality output and the recent release of its model weights, although it is currently only available under a non-commercial license.
How does the sound effect generator from 11 Labs work, and what is its purpose?
-The sound effect generator from 11 Labs allows users to describe what they want to hear, and it generates multiple sound effects accordingly. It is useful for creating custom sound effects for various media projects without the need for extensive audio editing skills.
What is the Cod, stroll model released by the French startup Mistol, and how does it perform?
-Cod, stroll is a new open model for code generation released by Mistol. It performs extremely well on coding benchmarks compared to other open models, although it is not yet available for commercial use.
What is Cursor, and how does it differ from traditional code editors?
-Cursor is a fork of Visual Studio Code that is designed as an AI-focused code editor. Instead of memorizing syntax, users can provide the context of an existing code base or documentation and write code with natural language commands. It also allows for enforcing coding rules and performing code reviews.
What are the two types of people when it comes to AI writing code, and what is the optimal perspective according to the video?
-There are people who are trying to get AI to write nearly 100% of their code, often young and naive, and those who believe AI code is of poor quality and has no place in the industry, often older and more traditional. The optimal perspective is likely somewhere in between, recognizing the potential of AI while also understanding its current limitations.
Outlines
🎥 Generative AI's Impact on Hollywood and New Tools
This paragraph discusses the evolution of generative AI, highlighting a video of Will Smith eating spaghetti that went viral a year ago. It emphasizes the rapid advancements in AI technology, suggesting that if the progress doesn't plateau, it could potentially replace Hollywood icons. The video introduces five new AI tools that are available for use today, hinting at the potential to replace human professionals in various creative fields. It also mentions recent developments by Open AI, Google, and a Chinese model called cling, which can generate impressively realistic videos. However, the paragraph notes that these models are not publicly available, but a tool called the 'dream machine' from Luma labs allows for the creation of realistic video clips, as demonstrated with a Will Smith example. The paragraph also touches on the importance of data for AI models and introduces Bright Data as a sponsor that facilitates web scraping at scale.
🔍 The Role of Data in AI and Tools for Web Scraping
The second paragraph delves into the challenges of data collection for AI models, such as setting up proxy networks and dealing with various web scraping issues. It introduces residential proxies and web automation tools like Selenium, Puppeteer, and Playwright, which simplify the process of web scraping without incurring high costs. Bright Data is highlighted as a sponsor that offers a scraping browser API, making web scrapers more efficient and cost-effective. The paragraph also mentions the importance of data for AI models and how Bright Data's solution can help in overcoming the hurdles associated with data collection.
Mindmap
Keywords
💡Generative AI
💡Uncanny Valley
💡Sora
💡Cling
💡Dream Machine
💡Residential Proxies
💡Bright Data
💡Stable Diffusion 3
💡11 Labs
💡Code Generation
💡Cursor
Highlights
AI technology has advanced to the point where fake videos like Will Smith eating spaghetti are becoming indistinguishable from reality.
Generative AI tools are evolving rapidly and could potentially replace human professionals in various creative fields.
Open AI's Sora and Google's VO are impressive AI video generation models, but they are not yet available to the public.
Cling, a new model from China, can generate two-minute long videos at 30 FPS, showcasing significant advancements in video generation.
The Dream Machine by Luma Labs allows users to create realistic video clips, blurring the line between reality and AI generation.
Bright Data offers a scraping browser API that simplifies data collection on the web without the need for proxies or web unblockers.
Stable Diffusion 3 Medium is an advanced open text-to-image model, though it's only available under a non-commercial license.
11 Labs' sound effect generator can create realistic sound effects from textual descriptions.
Code generation AI is improving, with Mistol's Cod AI model showing promise but not yet ready for commercial use.
Cursor, an AI-focused code editor, allows developers to write code using natural language, potentially revolutionizing coding practices.
The debate over AI-generated code's quality and its place in the industry is ongoing, with opinions varying widely.
AI's progress in the last year has been significant, causing concern for professionals in creative and technical fields.
The video discusses the potential of AI to replace human photographers, videographers, sound engineers, and programmers.
The Chinese model 'cling' is highlighted as arguably better than Sora in video generation capabilities.
The Dream Machine's ability to generate a realistic Will Smith eating spaghetti video is showcased.
Bright Data's sponsored segment emphasizes the ease and cost-effectiveness of their web scraping solution.
Stable Diffusion 3 Medium's release and its capabilities in text-to-image generation are discussed.
11 Labs' sound effect generator is praised for its ability to produce realistic sounds from descriptions.
Cod AI's performance on coding benchmarks and its limitations due to non-commercial licensing are mentioned.
Cursor's innovative approach to code editing with AI assistance is introduced.