A DeepSeek V4.1 Flash Portrait Painted Through a Browser Tool

Matthew Berman compares a reference headshot with a stylized result made using a Paint-like website.

MBMatthew BermanSpeaker · Forward Future
Channel
Matthew Berman
Published
Oct 4, 2026
Video
0:26
Read
1 min
Slides
1
Original
English
Open on YouTube
Scroll to read and the video shrinks to the bottom-right corner. Captions follow your reading language.
Reading languageAvailable in 2 languages
You're reading the original English.
SUMMARY

In 30 seconds

Matthew Berman shows a brief experiment in which DeepSeek V4.1 Flash uses a browser-based painting tool to recreate his headshot. He finds the result recognizable and stylized but lacking detail and layered brushwork.

  1. 1The referenceBerman supplies a headshot and lets DeepSeek V4.1 Flash use a Paint-like website.
  2. 2The resultThe displayed output is an abstract, stylized version of the headshot.
  3. 3Missing detailBerman says the model did not reproduce the layered brushstroke technique he had in mind.

Takeaways

  1. The experiment uses a reference headshot and a website resembling Microsoft Paint.
  2. Berman judges the resulting portrait stylized but lacking detail.
  3. A single example does not establish general portrait-painting performance.
FULL TEXT

Read the edited text by chapter

Transcript only
01

A browser-painting experiment

Berman introduces the reference image and the tool used by DeepSeek V4.1 Flash. He then assesses the resulting portrait.

The generated portrait
SLIDE 1 / 1The generated portraitThe clip shows the stylized result alongside Berman’s assessment of its limited detail.

Here is the reference headshot. I let DeepSeek V4.1 Flash use a website that replicates the basic functionality of Microsoft Paint, then compare the resulting portrait with the original. The short video does not show the complete setup or a controlled comparison.

The result is not bad: it is a very stylized, abstract version of my headshot. But it lacks detail, and I think the model did not reproduce the technique of building up one brushstroke over another. That judgment applies to this particular attempt.

More from this channel

12 slides34:21EN
Matthew Berman· Oct 27, 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 SafetyEnterprise AI+2
0:26EN
Matthew Berman· Oct 25, 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 slides0:36EN
Matthew Berman· Oct 25, 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.EvalsCoding agentsOpen-weight models
2 slides0:21EN
Matthew Berman· Oct 24, 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.BenchmarksEvalsGenerative media
6 slides25:50EN
Matthew Berman· Oct 24, 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 slides32:20EN
Matthew Berman· Oct 23, 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