gemma-4-12B-agentic-fable5-composer2.5 V2 is out.the agentic upgrade to the model trained on Fable 5's reasoning. Running it now with TurboQuant llama.cpp on a single RTX 4060( 8 GB VRAM) at 30 tokens/second with full 25000 context and reasoning:# The benchmarksv2 is built for coding + agentic work. writing code, running commands, using tools, debugging, multi step technical tasks. The clearest signal is tau2 bench telecom, an agentic tool use benchmark whose diagnose → fix → verify loop mirrors
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x.comAlok
gemma-4-12B-agentic-fable5-composer2.5 V2 is out.the agentic upgrade to the model trained on Fable 5's reasoning. Running it now with TurboQuant llama.cpp on a single RTX
Alok (@analogalok). 106 replies. gemma-4-12B-agentic-fable5-composer2.5 V2 is out.the agentic upgrade to the model trained on Fable 5's reasoning. Running it now with TurboQuant llama.cpp on a single RTX 4060( 8 GB VRAM) at 30 tokens/second with full 25000 context and reasoning:# The benchmarksv2 is built for coding + agentic work. writing code ...
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Getting closer and closer to vibe coding video games customized by users. Soon enough we’ll probably just pay for the hardware and have thousands of custom servers or/and games. A sort of elevated Roblox.
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x.comTHE SHORT BEAR
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imo using ai tools like this is fine as long as it helps the devs (+ it's optional), and it'll get normalized over time anyway, same way AI coding tools went from "bad quality" to "cheating" to standard in just 3 years once people realized how much faster they get things done with itbecause unfortunately whether people wanna accept it or not, we (including game dev studios) either adapt to these tools or get left behind EVENTUALLYand there's a VERY high chance your favorite app, website or game
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imo using ai tools like this is fine as long as it helps the devs (+ it's optional), and it'll get normalized over time anyway, same way AI coding tools went from "bad quality" to "cheating" to standard in just 3 years once people realized how much faster they get things done with itbecause unfortunately whether people wanna accept it or not, we (including game dev studios) either adapt to these tools or get left behind EVENTUALLYand there's a VERY high chance your favorite app, website or game
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Getting closer and closer to vibe coding video games customized by users. Soon enough we’ll probably just pay for the hardware and have thousands of custom servers or/and games. A sort of elevated Roblox.
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imo using ai tools like this is fine as long as it helps the devs (+ it's optional), and it'll get normalized over time anyway, same way AI coding tools went from "bad quality" to "cheating" to standard in just 3 years once people realized how much faster they get things done with itbecause unfortunately whether people wanna accept it or not, we (including game dev studios) either adapt to these tools or get left behind EVENTUALLYand there's a VERY high chance your favorite app, website or game
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imo using ai tools like this is fine as long as it helps the devs (+ it's optional), and it'll get normalized over time anyway, same way AI coding tools went from "bad quality" to "cheating" to standard in just 3 years once people realized how much faster they get things done with itbecause unfortunately whether people wanna accept it or not, we (including game dev studios) either adapt to these tools or get left behind EVENTUALLYand there's a VERY high chance your favorite app, website or game
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While ENPIRE w/ @nvidia @_wenlixiao @DrJimFan enables coding agents to explore algorithms and improve policies for a given real-world task, RATs asks: what can agents learn before a human specifies the task?Through curiosity-driven play, agents propose tasks, hill-climb toward solutions, and accumulate reusable, transferable skills. When a human later requests a new task, the agents retrieve and compose these skills to solve it.RATs explores an analogue of pre-training for embodied coding agents
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We believe AGI will play a key role in building physical AGI.Today, we introduce ENPIRE: fleet agentic autoresearch meets the physical world.Across precise manipulation tasks, teams of coding agents can autonomously hill-climb performance using heuristic learning, behavior cloning, and reinforcement learning.But ENPIRE is about more than automating physical algorithm search. The coding agents drive the entire research loop: reviewing the literature, proposing algorithms, building reset and verif
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