Pongo al Límite ChatGPT 5.6: ¿Hasta donde llega?

Pongo al Límite ChatGPT 5.6: ¿Hasta donde llega?

by Inteligencia Artificial (Jon Hernández)

Applied Sciences & Engineering AI — Models & Research UYQArtificial intelligence (AI)UYQFGenerative artificial intelligence
🎙 Inteligencia Artificial (Jon Hernández) 👥 725K 📅 July 15, 2026 ⏱ 23 min 👁 69K 📄 tutorial 🧭 2026-08-03
Available in: English (current) Français

Keywords

ChatGPT WorkGPT-5.6 SolAI agentstoken consumptiongoal command

Summary

In this video, the creator demonstrates the capabilities of ChatGPT Work with the new GPT-5.6 Sol model. He explains the differences between Sol, Terra, and Luna, and how to adjust reasoning effort, speed, and token consumption. He recommends using Sol with medium effort for most tasks, and Luna for less critical ones. He introduces the /goal command, which makes ChatGPT work autonomously until a task is completed, and shows a real example where he asked it to create a complete company from scratch, including branding, website, investor presentation, competitor analysis, and a research paper. The task took over 3 hours and produced a comprehensive set of files. The video also includes a sponsored segment about a HubSpot report on AI usage in businesses, emphasizing that many companies use AI incorrectly. The creator concludes that ChatGPT Work represents a paradigm shift in how we interact with AI, moving from simple prompts to delegating entire projects.

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Critical Evaluation

The video provides a valuable practical demonstration of ChatGPT Work’s capabilities, showcasing its potential to handle complex, multi-step tasks autonomously. The creator’s explanations of model settings and token consumption are clear and useful for users looking to optimize their usage. However, the evaluation is based on a single anecdotal example, which limits the generalizability of the results. The creator does not provide systematic comparisons or benchmarks, and the claims about the model’s performance are subjective. The sponsored segment about HubSpot is clearly disclosed, but it interrupts the flow of the content. The video’s strength lies in its practical approach, showing real-world applications and potential use cases. The creator’s enthusiasm is evident, but he also acknowledges limitations, such as the high token consumption and the need for further refinement of the generated outputs. Overall, the video is informative and well-presented, but it would benefit from more rigorous testing and a more critical examination of the AI’s outputs. The adéquation between title and content is good, as the creator indeed pushes the model to its limits. The public comments are overwhelmingly positive, with viewers expressing amazement and gratitude for the demonstration. Some comments note the high token consumption and the need for further refinement of the results, but overall the reception is very favorable.

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Title / Content Match

The title accurately reflects the content: the creator pushes ChatGPT 5.6 to its limits by assigning a complex task and showcasing its capabilities.

Quality & Reliability

7/10

The video is a practical demonstration of ChatGPT Work with GPT-5.6 Sol, showing real usage and results. The creator provides clear explanations of model settings and features, but relies on personal experience and anecdotal evidence rather than systematic testing or external validation. The presence of a sponsor (HubSpot) is disclosed, but the promotional segment is clearly separated. Overall, the information is useful and generally reliable for practical purposes, though not scientifically rigorous.

Chapters

Cited Sources

Concurring Sources

  • OpenAI's official blog on GPT-5.6 — Official announcement and details about GPT-5.6, likely to corroborate the model's capabilities.

Dissenting Sources

  • Critiques of AI hype

Contribution & Novelties

The video offers a hands-on demonstration of ChatGPT Work’s agentic capabilities, showing how it can autonomously execute complex, multi-step projects. This is a novel contribution as it moves beyond simple Q&A to show real-world project management. The creator also provides practical tips on optimizing token usage and using the /goal command.

Pour aller plus loin :

  • OpenAI’s official documentation on ChatGPT — Official resource for understanding ChatGPT features and updates.
  • Agentic AI: A Survey — Academic survey on agentic AI, relevant to the concept of autonomous agents.
  • Tokenization in Large Language Models — Wikipedia article explaining tokenization, useful for understanding token consumption.

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Radar Profile

The radar profile shows high scores in quantity of information and global reliability, reflecting the video's rich content and practical value. The technical level is moderate, suitable for a general audience. The quality of information is good but not exceptional, as it relies on anecdotal evidence.

Reliability 7/10

💬 Très positif. Sur les 30 commentaires analysés, la grande majorité exprime admiration et gratitude pour la démonstration, certains notant des limites comme la consommation de tokens ou la nécessité d'affiner les résultats, mais l'ensemble est très favorable.