¡Ya disponible Gemini 4 Argon! Lo pongo a prueba

¡Ya disponible Gemini 4 Argon! Lo pongo a prueba

Gemini 4 Argon now available! I put it to the test

by Jon Hernández (channel: Inteligencia Artificial) · View the channel on PSI

Formal & Physical Sciences AI — Models & Research UYQArtificial intelligence (AI)UYQFGenerative artificial intelligence
🎙 Jon Hernández (channel: Inteligencia Artificial) 👥 816K 📅 October 14, 2026 ⏱ 20 min 👁 229 📄 news review 🧭 2026-10-14
Available in: English (current) Français

Keywords

Gemini 4ArgonBenchmarksAntigravityAI Ecosystem

Summary

In this video, the creator announces the global availability of Google’s new advanced AI model, Gemini 4 Argon, positioning it as Google’s main frontier model. The review starts with an analysis of its benchmark scores, comparing it against GPT-6 Astra, Claude Opus 5.5, and Meta’s Fable 5.1, notably highlighting its highly efficient speed and competitive pricing, which is temporarily halved. The author emphasizes that despite the model’s impressive vertical intelligence, the real challenge lies in its horizontal expansion, particularly integrated tools and applications. He tests the Gemini desktop app for Mac, pointing out that it lacks direct computer control, a significant drawback compared to competitors like ChatGPT or Claude. The video then demonstrates the use of Antigravity, Google’s agentic sub-app, which allows the model to control a computer, though the process is described as more complex and less seamless than rival solutions. A standout feature is the model’s potential for up to one million output tokens, which could enable longer reasoning chains, though its availability is uncertain. The creator also showcases an impressive 3D pagoda demo generated by the model, involving complex prompting and skills, concluding that such demos are now expected from frontier models. Finally, he speculates on Google’s strategy, comparing it to Copilot, suggesting it may become an aggregator of top-performing models, such as integrating Anthropic models for corporate clients. The video concludes optimistically, noting that Google users now have a competitive model and that future compact Flash variants will follow.

243 words

Critical Evaluation

Value of the Information & Strength of the Argument

The video provides valuable insights into the launch of a major AI model, offering a clear breakdown of benchmarks, pricing structures, and practical usability. The argumentation is solid and reasonably self-aware; the author explicitly criticizes the use of anecdotal tests to measure intelligence, instead directing viewers to reputable scientific evaluation platforms like Artificial Analysis. He substantiates claims about speed and efficiency with personal observations, while acknowledging his bias towards competitor tools. The logical progression from discussing raw model capabilities (vertical) to its integration ecosystem (horizontal) structures the review effectively, presenting a balanced thesis: Gemini 4 Argon is a top-tier model regarding raw intelligence, but it suffers from a lag in facilitating real-world tasks through agentic interfaces. The analysis of Antigravity’s complexity as a barrier to mass adoption is particularly well argued, drawing a clear contrast with the unified approach of ChatGPT or Claude.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is satisfactory for a tech review. The primary technical source cited is Artificial Analysis, a widely recognized third-party benchmarking platform, which lends credibility to the performance claims. However, the author does not provide direct links to Google’s technical report or documentation within the description, instead linking to his own promotional content (courses, newsletters, books) and a subscription club. This mix of promotional content and informal tone slightly diminishes the perceived scientific objectivity, though it is common in the tech influencer space. The title is an exact match to the content, promise accurate. The creator’s explicit policy to prioritize scientific benchmarks over personal demos demonstrates a critical approach, but the reliance on leaked/early access features and speculative comments about future releases prevents full adherence to strict scientific methodology.

288 words

Title / Content Match

The title accurately reflects the core content: the author announces the release of Gemini 4 Argon and proceeds to test its capabilities, showcasing demos and a critical review.

Quality & Reliability

7/10

The review relies on third-party benchmarks (Artificial Analysis) and hands-on testing, providing a balanced assessment of strengths (speed, ecosystem, output length) and weaknesses (memory, agentic usability). However, reliance on promotional and personal experience limits deeper scientific rigor.

Chapters

Cited Sources

  • Club de la IA — Membership platform for AI updates and community, promoted at the start of the description.
  • IA Perfecta — Website listing various AI tools, referenced in the creator's promo block.
  • Jon Hernández Education - ChatGPT Guide — Free guide offered as a promotional gift for using ChatGPT.
  • Jon Hernández Education - NotebookLM Guide — Guide for NotebookLM, another Google AI tool, promoted in the description.
  • Jon Hernández Education - Vibe Coding Guide — Guide for creating software without programming using AI, promoted under gifts.
  • Jon Hernández Education - Image Guide — Guide for generating images with ChatGPT and Nano Banana, promoted.
  • Book 'la hostIA que viene' — The author's book about the AI future, listed under community/news section.
  • Newsletter IA — Newsletter with curated AI news, promoted for community engagement.
  • WhatsApp Channel AI — WhatsApp channel about AI, listed under community links.

Contribution & Novelties

The video contributes a practical, user-centric evaluation of Gemini 4 Argon shortly after its release, immediately contextualizing its benchmark scores within the competitive landscape of other frontier models. It provides a hands-on look at the desktop application and the Antigravity agentic system, which offers specific insights into the current state of Google’s horizontal integration strategy. The critical takeaway is that even with raw computational power, the lack of seamless OS integration and memory remains a significant usability hurdle.

Pour aller plus loin :

  • Google Gemini (Language Model) — Relevant background and architecture of the Gemini series.
  • Artificial Analysis — The benchmarking platform used in the video to compare model intelligence and efficiency.
  • Agentic AI — Concept discussed concerning Antigravity and the future of AI-driven computer control.

126 words

Radar Profile

The radar profile shows a balanced score across quantity and quality of information, with a slightly lower level of technical depth, indicating the content is informative for a general tech audience. The overall reliability is moderate, reflecting the use of credible benchmarks mixed with subjective first-hand testing.

Reliability 7/10