Three GPT-6 Astra Use Cases: Games, Browsing and Writing

Matthew Berman shares brief examples of a generated game, browser research and writing, alongside his personal assessment of the model.

MBMatthew BermanIntervenant · Forward Future
Chaîne
Matthew Berman
Publié
3 sept. 2026
Vidéo
0:35
Lecture
1 min
Diapositives
2
Original
anglais
Ouvrir sur YouTube
En faisant défiler, la vidéo se réduit en bas à droite et continue. Les sous-titres suivent votre langue de lecture.
Langue de lectureDisponible en 2 langues
Cet article n’est pas encore disponible en français ; il s’affiche dans l’original en anglais.
RÉSUMÉ

En 30 secondes

In September 2026, Matthew Berman calls GPT-6 Astra his favorite model and illustrates game generation, browser research and writing. He introduces the clip as four things to try but describes three in the available video. The examples are demonstrations and subjective impressions, not a controlled comparison of model quality.

  1. 1A game from a promptBerman shows a Fall Guys-style game and says a single prompt produced it.
  2. 2Browser researchHe shows browser use to research and compare Pokémon cards.
  3. 3Writing styleBerman says he prefers the model’s writing to other models, while acknowledging that it still has recognizable AI characteristics.

À retenir

  1. Berman shows a playable game resembling Fall Guys and says it was created from one prompt.
  2. His browser-control example compares Pokémon card listings; the clip does not establish that all details were verified.
  3. He prefers the model’s writing style, a subjective judgment rather than a benchmark result.
  4. The video promises four examples but presents three in the available footage.
TEXTE INTÉGRAL

Lire le texte remanié, chapitre par chapitre

Transcription seule
01

Game generation and browsing

Berman introduces the model, shows a game example and describes a browser-research task. These brief demonstrations do not establish general reliability.

A generated game example
DIAPOSITIVE 1 / 2A generated game exampleThe video shows a Fall Guys-style game that Berman attributes to a single prompt.

I consider GPT-6 Astra the best model I have used and introduce a list of things to try. Although I promise four, the available video describes three examples: creating a game, using browser control and writing. My overall ranking is a personal impression rather than a controlled comparison.

Browser research example
DIAPOSITIVE 2 / 2Browser research exampleA card listing appears while Berman discusses comparing Pokémon cards.

First, I show a playable game resembling Fall Guys and say it was created with a single prompt. The clip illustrates one outcome, but does not show a full evaluation of its quality, completeness or reliability across other game requests.

Next, I show browser control being used to research and compare rare Pokémon cards. The clip demonstrates the workflow at a high level; it does not independently verify the listings or establish that every comparison is correct.

02

Writing impressions

He gives a subjective comparison of writing style and asks viewers to try the model. The clip presents three examples despite its introduction promising four.

Finally, I say I prefer the model’s writing to that of other models because it has less of the style I associate with AI-generated text. I acknowledge that some remains. That is a subjective judgment about the examples I have seen, not an objective benchmark.

Sur la même chaîne

5 diapositives14:45EN
Matthew Berman· 29 oct. 2026Matthew Berman Examines Google’s Gemini 4 Carbon AnnouncementMatthew Berman · Forward FutureMatthew Berman reviews Google’s reported benchmark results, staged rollout and pricing for Gemini 4 Carbon, while noting he has not yet used the model.Foundation ModelsBenchmarksAI cost & performance+2
7 diapositives21:11EN
Matthew Berman· 28 oct. 2026Matthew Berman tests DeepSeek V4.1 Flash: coding, vision and local appsMatthew Berman · Forward FutureA hands-on tour of visual coding, image reasoning, local applications and provider economics reveals both impressive results and visible flaws.Agents de codeMultimodal AILocal inference+2
12 diapositives34:21EN
Matthew Berman· 27 oct. 2026Matthew Berman Examines Anthropic’s IPO Filing, AI Growth and GovernanceMatthew Berman, Sam Altman · Forward FutureThe presenter reviews the S-1’s financial metrics, compute strategy and voting structure while questioning the tension between rapid AI development and safety.AnthropicAI SafetyIA en entreprise+2
0:26EN
Matthew Berman· 25 oct. 2026Sam Altman on Human Values and Problem-Solving in an AI WorldSam Altman · OpenAIIn a short interview excerpt, Altman considers the enjoyment of solving hard problems and the human role in interpreting results.Human-AI CollaborationFuture of WorkAI Strategy
2 diapositives0:36EN
Matthew Berman· 25 oct. 2026Kimi K3.1 and a Rubik’s Cube Solver DemonstrationMatthew Berman · Forward FutureMatthew Berman shows a scrambled virtual cube being solved and gives the Kimi K3.1 test a favorable assessment.ÉvaluationsAgents de codeOpen-weight models
2 diapositives0:21EN
Matthew Berman· 24 oct. 2026An AI-Generated Kimi Benchmark Chart Used Invented ScoresMatthew Berman · Forward FutureMatthew Berman asks for a graph of Kimi K3.1 Pro benchmarks, then discovers that the displayed figures are illustrative placeholders.BenchmarksÉvaluationsGenerative media