Bijan Bowen introduces DeepSeek V4.1 Flash through its reported architecture, memory-efficiency gains and open weights, while warning against treating release benchmarks as definitive. He focuses the review on practical outputs, beginning with a browser desktop simulation that includes working audio and customizable backgrounds alongside imperfect games. This first test used high reasoning effortReasoning effort is the amount of internal computational work an AI model applies before producing an answer or action.; the following tests used max effort.
Bijan Bowen gets a playable C++ skateboarding gameCode generation uses AI or another automated system to create source code from instructions, examples, schemas, or higher-level specifications. with environmental detail, pedestrians and working grinding behavior, although animation and board geometry have problems. A subway shooter needs corrections and still has rendering and gameplay issues. He also reports harness glitchesAn AI agent harness is the software framework that packages a model with tools, instructions, context management, execution controls, and user interaction., making it difficult to assign every observed failure to the model alone.
Bijan Bowen stops a robotic-arm task after roughly 45 minutes without moving the target car. He observes that the system misinterprets inverted grippers and suspects vision limitations, while crediting its attempts to diagnose a connection problem and investigate camera controls. The cause is his assessment rather than an isolated finding.
Bijan Bowen obtains a detailed wrestling environment with Blender-generated assets, but character geometry, controls and visual effects make the game difficult to use. A separate C++ rally game becomes a stronger result after fixes to keyboard input and the cockpit, with additional sound and a chase camera. An engine model looks promising, but potential floating parts leave physical printability unverified.
Bijan Bowen’s watch website produces polished animated product viewsFront-end code generation uses AI to create or modify the user-interface code of websites and applications from instructions or examples. and an exploded-view effect, although it is still being worked on during inspection and later glitches. His overall conclusion emphasizes low cost and ambitious outputs rather than consistent success. The session demonstrates both useful results and the need for follow-up work, with several tasks requiring corrections or being stopped before completion.
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