Il post di lancio di Jev
Diogo Almeida presenta Jev, il modello di decisione strutturato di TypeSafe. Guarda il filmato di lancio e esplora il thread originale per l'approccio del modello, esempi e prestazioni riportate dall'autore.
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Recent activityA FIELD GUIDE TO JEV / VOL. 01
Il meglio di Jev: progetti reali, guide pratiche e idee da tutto il web.
Diogo Almeida presenta Jev, il modello di decisione strutturato di TypeSafe. Guarda il filmato di lancio e esplora il thread originale per l'approccio del modello, esempi e prestazioni riportate dall'autore.
L'annuncio ufficiale di lancio di TypeSafe introduce il laboratorio e indica agli sviluppatori di Jev. Include il filmato di lancio di Diogo Almeida e l'introduzione originale.
TypeSafe annuncia l'accesso pubblico a Jev senza lista d'attesa. La console ufficiale è il punto di partenza per provare le decisioni tipizzate nelle proprie applicazioni.
TypeSafe evidenzia l'approccio di output tipizzato di Jev: le applicazioni forniscono stato e domande, quindi agiscono su probabilità, scelte o punteggi. L'annuncio collegato copre anche l'integrazione dell'API Venice.
Start with the Launch Post. Explore four official signals.
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AI-assisted summaries and translations. Check original sources for context and performance claims.
Simulazione in cui MOSS raccoglie la spazzatura seguendo istruzioni, con l'obiettivo di migliorare la pulizia delle strade attraverso decisioni automatizzate.
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Jev controlla Super Mario Bros utilizzando l'inferenza rapida e gli output strutturati, dimostrando il potenziale per applicazioni in tempo reale.
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Game where Jev competes against LLMs in Pong.
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Jev play Tetris in real-time against other AI models.
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An experiment to enable Jev to perform dogfighting, with ongoing improvements.
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Jev is used to predict human moves in a rock-paper-scissors game.
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Real-time League of Legends win-probability overlay using Jev to analyze game state and predict outcomes.
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A community post describes Jev attempting to play Resident Evil, testing its ability to handle 3D environments, objectives, and combat scenarios.
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A gaming project enabling seamless switching between manual and AI-driven gameplay using Jev.
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A mahjong coach that uses Jev to suggest tiles to discard in Japanese.
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A developer project for the games shelf, where Jev improvises piano with proper questions.
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A community post about using an agent for autonomous Pokémon shiny hunting with automated resets and checks.
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A demonstration of Jev competing against OpenJev in a first-person shooter game.
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A Rubik's Cube that uses Jev AI to solve itself using a human-like method rather than optimal algorithms.
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Camera-only autonomous drone in MuJoCo with a small judgment model (TypeSafe Jev) in the loop at 2.5Hz.
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A community post describes using Jev with an LLM to play Doom, exploring multiple future outcomes.
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Jev demonstrates real-time decision-making in the game Doom, making moves up to ten times per second.
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A community-developed resource for analyzing and improving fighting techniques through Jev's capabilities.
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A community reference describing real-time generation of game levels for game development.
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Jev filters social media posts to reduce negative content exposure by categorizing them.
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Pokémon FireRed Elite Four run. A community post describing an experiment where Jev successfully completed a game with low-cost resources.
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A community post demonstrating Jev playing Flappy Apex, achieving a high score autonomously through Appduct and Fable.
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Jev plays Subway Surfers at superhuman speed and handles 50 games simultaneously for under a cent.
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Jev processes game state data to make decisions and play Super Mario Bros. effectively.
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A community post exploring Jev's behavior in a game of Catan, where multiple Jevs struggle with negotiation.
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Integration of Jev into a game for fast and cost-effective performance.
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A game project involving a penalty shootout against Jev using Render Workflows and Postgres.
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Jev classifies emails for fraud detection, with uncertain cases handled by Kimi K3 for high accuracy.
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Jev from @typesafeai plays Balatro, making quick decisions on cards and gameplay within 200-500ms.
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A community project showcasing Jev's potential through a competitive snake game where two Jev instances battle for victory.
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A real-time flight simulation game controlled by Jev's decision-making capabilities.
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Let Jev (TypeSafeAI) solve 2048.
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A community project embedding three Jev-powered bots into a first-person shooter game.
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Cyber-Breach: The Jev Protocol - A tactical cyberpunk arena combat game powered by TypeSafe AI Jev System One decision model.
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A tool that analyzes Tetris board positions and selects optimal placements in under half a second.
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A community post about a virtual town where Jev makes all decisions, managing 120 people and various local structures.
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Fast, drop-in profanity and toxicity screener for Node.js, powered by TypeSafe AI Jev. Catches leetspeak, character spacing, and romanized profanity across languages including Kannada, Telugu, Tamil, Hindi, and Bengali. ~50-500ms latency.
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EmbodiedJev: MuJoCo robot decision workbench with MiniCPM5-2B, Jev and compatible model APIs.
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Snake controlled by parallel Jev assessments, with one API call per game tick.
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A Chrome Dino game implementation where Jev provides real-time decision scores.
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A game where Jev makes decisions to keep a city on a whale alive, integrated with GPT-6 Astra and H3 Max.
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TypeSafe Jev controls original StarCraft shareware through keyboard and mouse with recorded action probabilities.
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A Minecraft Java player controlled by TypeSafe AI, with live decisions, Canadian flag building, and a side-by-side dashboard.
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A community experiment demonstrating Jev's interaction with a video game.
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TypeSafe's Jev plays Atari Pong. One typed Choice question per frame, no coordinates sent to the model.
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Chess where both players are TypeSafe's Jev model: every move is a typed Choice decision.
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A fire evacuation simulation where each person makes Jev-style decisions.
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Jev picks rotation and column from holes, stack height, and bumpiness.
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Wikipedia link races with direct Jev ranking and a live terminal display.
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A visual TypeSafe demo where Jev chooses verified Tetris placements.
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Jev tests shooting skills in the arcade game Time Crisis, with a harness to assist performance.
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A cyberpunk border encounter powered by TypeSafe Jev. Bluff the guard. Inspect the receipts.
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A graphical developer project featuring routing, Tetris, swarms, and a gauntlet for gaming purposes.
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A sandbox where a TypeSafe System One model presses the controls of a small creature. Code runs the world.
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Krunker-style 1v1 FPS where Jev decides move, aim, ADS, fire, and jump at about 9 Hz.
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Jev plays Connect Four on OmarchyLinux, demonstrating real-time decision loops with structured state.
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Python prototype that plays NES Super Mario Bros. from structured RAM observations, with Jev answering focused movement and jump questions.
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Chess moves, evaluations, persona opponents, and game classification with TypeSafe AI System One.
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An experimental game where Jev AI generates multiple timelines to keep Mario alive through decision branching.
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The Register on the launch, the Doom demo, and the $40M seed round.
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AI life-and-civilization simulation: TypeSafe Jev makes every decision (typed, probabilistic, auditable); LLMs plan — OpenAI-compatible APIs, local models (Ollama, LM Studio), Claude Code, Codex.
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A chess experiment where Jev V13 makes decisions against advanced language models.
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3D chess powered by TypeSafe AI (Jev). AI vs AI by default, or play either side. Multiple difficulty levels.
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A community post details a Pac-Man game where every move is determined by Jev, offering strategic insights.
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A community post describing a game where Jev routes trains to stations in real time without a solver.
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A community post compares Jev's performance to Astra in gaming scenarios, highlighting its unique approach.
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Snake auto-played by TypeSafe's Jev model: one System One choice per tick, legal moves and facts generated in code.
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Minecraft mod where Jev tries to finish the game from scratch without a scripted route.
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A project where Jev attempts to defeat the Pokémon League in Pokémon Gold, using basic controls to navigate and win.
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Visual Jev lab for multiple games and emulator platforms.
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A GitHub project where Jev plays Minesweeper, revealing its capability to handle real-time, turn-based game mechanics.
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100 AI NPCs live in a tiny town. Jev chooses the next action; the world writes the story.
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