We have a new #1 open source AI

The video provides a comprehensive and practical evaluation of GLM-4.7, focusing on its ability to handle complex, multi-step coding tasks. The creator demonstrates the model’s strengths through a series of impressive demos, including building an Android OS simulator, a hand-tracking game, and a video editor. The iterative prompting approach is a notable strength, as it shows the model’s capacity for refinement and self-correction, which is crucial for real-world applications. The video also includes a section on benchmarks and performance, adding a quantitative dimension to the evaluation. However, the assessment is largely subjective and based on the creator’s personal experience, lacking a rigorous scientific methodology. The demos, while impressive, are not systematically compared against other models under controlled conditions. The video also contains a sponsor segment for LumaLabs’ Ray3 Modify, which is clearly disclosed but may introduce bias. The creator’s claim that GLM-4.7 is the ’number one open-source model’ is based on his own testing and may not be universally accepted. The video does not provide a detailed analysis of the model’s limitations, such as potential biases or failure cases. The sources cited are primarily the model’s official blog and the creator’s own resources, which are not independent. Overall, the video is informative and engaging, but it should be viewed as an expert opinion rather than a definitive scientific evaluation. The adéquation between title and content is good, as the video indeed focuses on GLM-4.7 and its position as a leading open-source model. The public comments reflect a positive reception, with many viewers impressed by the model’s capabilities and the pace of open-source innovation.

The title accurately reflects the content, as the video indeed reviews GLM-4.7 and claims it is the new #1 open source AI model.

7/10

The video provides hands-on demonstrations of GLM-4.7's capabilities, with multiple iterative tests. The creator shows both successes and limitations, and includes a section on benchmarks and specs. However, the evaluation is subjective and lacks rigorous scientific methodology, and the sponsor segment is not clearly separated from the content.

• 00:00GLM 4.7 intro
• 01:17Android OS simulator
• 03:56Fruit ninja with hand tracking
• 05:12Sim city
• 08:07Video editor
• 11:493D racing game
• 12:50Ray3 Modify
• 14:43Trello clone
• 17:00Figma UI builder
• 19:25Image to graph
• 20:35Spreadsheet to financial report
• 21:31Medical research
• 23:55Benchmarks and performance
• 25:41New thinking modes
• 27:42Specs and importance of open weights

• GLM-4.7 Blog Post — Official blog post from Zhipu AI about GLM-4.7, providing details on the model's capabilities and specifications.
• Chat with GLM-4.7 — Online platform where users can try GLM-4.7 for free.
• AI Search Tools & Jobs — Website mentioned in the video description for finding AI tools and jobs.
• AI Search Newsletter — Newsletter mentioned in the video description for updates on AI.
• LumaLabs Ray3 Modify — Sponsor link for LumaLabs' Ray3 Modify, a video generation tool.

• GLM-4.7 Blog Post — The official blog post provides benchmarks and details that align with the video's claims of high performance.

• nvda.ws