Post de lançamento do Jev
Diogo Almeida apresenta o Jev, o modelo de decisão estruturado do TypeSafe. Assistir ao filme de lançamento e explorar o fio original para o abordagem do modelo, exemplos e desempenho relatado pelo autor.
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Recent activityA FIELD GUIDE TO JEV / VOL. 01
O melhor de Jev: projetos reais, guias práticos e ideias de toda a internet.
Diogo Almeida apresenta o Jev, o modelo de decisão estruturado do TypeSafe. Assistir ao filme de lançamento e explorar o fio original para o abordagem do modelo, exemplos e desempenho relatado pelo autor.
O anúncio oficial de lançamento do TypeSafe apresenta o laboratório e direciona os desenvolvedores ao Jev. Inclui o filme de lançamento de Diogo Almeida e a introdução original.
TypeSafe anuncia acesso público ao Jev sem lista de espera. O console oficial é o ponto de partida para testar decisões tipadas em seu próprio aplicativo.
TypeSafe destaca a abordagem de saída tipada do Jev: aplicações fornecem estado e perguntas, depois atuam sobre probabilidades, escolhas ou pontuações. A anúncio vinculado também aborda a integração da 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.
Simulação em que o MOSS coleta lixo com base em instruções, visando melhorar a limpeza das ruas por meio de tomada de decisão automatizada.
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O Jev controla Super Mario Bros. usando inferência rápida e saídas estruturadas, demonstrando potencial para aplicações em tempo real.
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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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A Rubik's Cube that uses Jev AI to solve itself using a human-like method rather than optimal algorithms.
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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 describes using Jev with an LLM to play Doom, exploring multiple future outcomes.
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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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A chess experiment where Jev V13 makes decisions against advanced language models.
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A demonstration of Jev competing against OpenJev in a first-person shooter game.
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An experiment to enable Jev to perform dogfighting, with ongoing improvements.
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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 community test comparing Jev's performance against GLM 5.3 in a chess game, highlighting speed and cost efficiency.
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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 demonstrates real-time decision-making in the game Doom, making moves up to ten times per second.
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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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Jev tests shooting skills in the arcade game Time Crisis, with a harness to assist performance.
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A game integrating Jev to display real-time decision probabilities during gameplay.
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Jev filters social media posts to reduce negative content exposure by categorizing them.
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Jev is used to predict human moves in a rock-paper-scissors game.
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An experimental game where Jev AI generates multiple timelines to keep Mario alive through decision branching.
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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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Jev plays Tetris by making real-time decisions to move blocks.
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A community project embedding three Jev-powered bots into a first-person shooter game.
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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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Real-time League of Legends win-probability overlay using Jev to analyze game state and predict outcomes.
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A Chrome Dino game implementation where Jev provides real-time decision scores.
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Jev plays Subway Surfers at superhuman speed and handles 50 games simultaneously for under a cent.
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A community experiment demonstrating Jev's interaction with a video game.
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A tool that analyzes Tetris board positions and selects optimal placements in under half a second.
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Integration of Jev into a game for fast and cost-effective performance.
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A community-developed resource for analyzing and improving fighting techniques through Jev's capabilities.
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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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Jev plays Connect Four on OmarchyLinux, demonstrating real-time decision loops with structured state.
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Jev successfully played and won a match in the game Clash Royale.
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A community reference describing real-time generation of game levels for game development.
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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 community post about a virtual town where Jev makes all decisions, managing 120 people and various local structures.
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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 compares Jev's performance to Astra in gaming scenarios, highlighting its unique approach.
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Jev from @typesafeai plays Balatro, making quick decisions on cards and gameplay within 200-500ms.
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Two decision channels on ViZDoom, navigation at 5 Hz and combat at 12 Hz, with an 18-kill test run.
x.comViZDoom Jev agentVer projeto ↗Source-linked curation