Generating Short AI Videos with Claude and Higgsfield

Matthew Berman demonstrates a prompt for whimsical videos and describes connecting Higgsfield to Claude.

MBMatthew BermanIntervenant · Forward Future
Chaîne
Matthew Berman
Publié
7 mai 2026
Vidéo
0:55
Lecture
1 min
Diapositives
1
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 this Higgsfield-sponsored short, Matthew Berman shows examples generated from a request for dogs in an ice-cream kingdom. He briefly describes adding the Higgsfield MCP connector in Claude. The examples illustrate a workflow, not a guarantee of viral reach.

  1. 1Prompt and examplesBerman requests ten TikTok videos about dogs in an ice-cream kingdom and shows examples.
  2. 2Sponsored demonstrationHiggsfield sponsored the video and provided the video-generation tool.
  3. 3Connector setupHe says to open settings, choose connectors, add Higgsfield and set up its MCP connection.

À retenir

  1. A prompt can ask for a series of short videos around a single visual theme.
  2. Berman demonstrates dog-themed ice-cream kingdom clips using sponsor Higgsfield.
  3. The video describes connecting Higgsfield through Claude’s connectors settings.
TEXTE INTÉGRAL

Lire le texte remanié, chapitre par chapitre

Transcription seule
01

A short-video prompt

Berman requests clips about dogs in an ice-cream kingdom and shows examples. He discusses the possibility of creating social videos.

What if you could create a widely viewed AI video? I try a simple prompt: make ten TikTok videos in which dogs live in an ice-cream kingdom. I show two of the resulting clips. They are intentionally silly, but they illustrate how quickly a theme can become a set of short videos; going viral is not guaranteed.

Ice-cream kingdom example
DIAPOSITIVE 1 / 1Ice-cream kingdom exampleA generated dog-themed scene illustrates the prompt’s visual concept.
02

Connect Higgsfield to Claude

Berman discloses Higgsfield’s sponsorship and describes adding its MCP connector through Claude settings.

The clips were made with Higgsfield, which sponsored this video. To use the workflow I describe, connect Higgsfield to Claude: open settings, go to connectors, select the plus button, find Higgsfield and add its MCP connection. The short demonstration does not cover the full setup or account requirements.

Sur la même chaîne

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
6 diapositives25:50EN
Matthew Berman· 24 oct. 2026Kimi K3.1 Pro Tested: Strong 3D Demos, Uneven Results and Competitive PricingMatthew Berman · Forward FutureMatthew Berman tests the open-weight model on coding, 3D rendering and visual explanations, then compares benchmark results and prices.Open-weight modelsBenchmarksAI cost & performance+1
2 diapositives32:20EN
Matthew Berman· 23 oct. 2026Who Is Local AI For? The Costs, Trade-offs and a Hybrid FutureMatthew Berman · Forward FutureMatthew Berman weighs data control and independence against hardware cost, setup complexity and inference speed.Local inferenceOpen-weight modelsAI cost & performance+1