nowfound

AI · August 31, 2026

DogLM – Can you pet the dog in an AI-generated game?

A benchmark measuring whether an LLM lets the player pet the dog when prompted to build a video game that has a dog in it.

What it does

DogLM is a benchmark measuring whether an LLM, when prompted to build a video game with a background dog character in it, lets the player pet that dog. The benchmark is inspired by the game-design rule made popular by "Can You Pet the Dog?" Twitter account ( X , Bluesky ): if a game has a dog, the player should be able to pet it . DogLM tests whether a model applies this rule and builds a dog-petting mechanism when two conditions are simultaneously met in the game-generating prompt: (1) a dog character is present in the game description and (2) a model receives zero instruction about the player-dog interaction from the game developer. The benchmark, the games' descriptions, and the detailed…from mikeushakov.github.io

Does the same job

all alternatives →
  • ZumiGames2025 · ▲238

    Your AI pet with a mind (and adventures) of its own

  • AI Puppy for web2022 · ▲87

    Turn your dog into a beautiful portrait with AI

  • The Digital Dogs2022 · ▲105

    Cross-app AI companion platform for immersive realities

  • Cuteness Score from Veeks2023 · ▲94

    AI-generated cuteness score for your pet

  • AI Puppy2022 · ▲99

    Turn your dog into a beautiful portrait with AI

  • Doggo Booth2022 · ▲93

    Personalized AI avatars for your dog 🐶

More ai this month

the category →
  • I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.

    AI · 17d ago · simedw.com

  • Astute585

    Automate your B2B brand going viral, with new media creators

    AI · 18d ago · company-app.joinastute.com

  • Grok Bot547

    AI teammates that you can give real work to

    AI · 25d ago · x.ai

  • Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…

    AI · 27d ago · cactuscompute.com

  • Monid474

    OpenRouter for agent tools

    AI · 6d ago · monid.ai

  • Turn website visitors into qualified pipeline

    AI · 19d ago · clarasdr.ai

Launched alongside, August 2026

the whole month →
  • TL

    Life & fun · 10d ago · louisabraham.github.io

  • Hey Noah641

    A proactive AI executive assistant for founders

    AI · Aug 2026 · heynoah.io

  • Let agents source clips from terabytes of your local video

    Work · 18d ago · clipto.com

  • SA

    Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…

    Life & fun · Aug 2026 · toneyalexander.github.io

  • AdAnt AI608

    Claude for viral, high-converting social ads

    AI · Aug 2026 · adant.ai

  • I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.

    AI · 17d ago · simedw.com