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  4. Four Gemini 4 Argon agents beat Minecraft without human help
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Four Gemini 4 Argon agents beat Minecraft without human help

The Decoder: Four Gemini 4 Argon agents beat Minecraft without any human help

Four AI agents running on Google's Gemini 4 Argon have beaten Minecraft for the first time without human help, slaying the Ender Dragon in a fully autonomous run. With no predefined roles or strategies, they coordinated on their own, wrote 2,783 programs, exchanged 229 chat messages, and died 605 times. The session cost $1,620. The article Four Gemini 4 Argon agents beat Minecraft without any human help appeared first on The Decoder.

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Four AI agents running on a frontier language model completed Minecraft's final objective without human direction or specialized game tools. The agents autonomously divided tasks, communicated warnings to each other, recovered items from fallen teammates, and maintained shared memory of mistakes across a 27-hour session that required 2,783 generated programs and resulted in 605 deaths. This achievement demonstrates that general-purpose AI models can now handle complex video game environments that previously required purpose-built AI systems trained specifically for those tasks.

Explainer: Gemini 4 Argon Explained: What It Is and Who Can Use It

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Deepseek V4.1 Flash 1017 beats larger rivals in agentic tasks while once again massively cutting per-task costs

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Also reported by SiliconANGLE

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Anthropics' Claude cracks a 25-year-old NSA cryptography mystery in under 30 minutes

Anthropic's AI model Claude has solved a 25-year-old cryptography puzzle. The mysterious seeds behind NIST's standard curves for digital signatures were provided by the NSA without explanation, raising long-standing suspicion about built-in backdoors. Claude figured out in under 30 minutes that the seeds came from "lrand48," a simple C random number generator, making deliberate backdoors far less likely. The article Anthropics' Claude cracks a 25-year-old NSA cryptography mystery i

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Elorian’s first AI model wants to reason with images, not just about them

According to Elorian's evaluations, Glimpse outperforms even GPT-6 Astra on scientific chart reasoning and short-form video captioning, with competitive results on other visual reasoning tasks.

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Google's Gemini 4 Argon is closer to the AI frontier than any Google model in months

Google Deepmind's Gemini 4 Argon scored 97.5 percent on the ARC-AGI-3 benchmark, making Google the second lab after OpenAI to cross the 95 percent mark. But the results swing wildly depending on the test setup: in the standard harness, the score drops to just 49.8 percent. Argon also trails rivals in math and software engineering. The article Google's Gemini 4 Argon is closer to the AI frontier than any Google model in months appeared first on The Decoder.

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Google wants Gemini 4 Argon to be the only AI model robots need

Google's Gemini 4 Argon controls robots, generates simulations from photos or sketches, and evaluates training videos. On Google's own ERQA benchmark, it scores 87 percent. But the published example prompts show that the demos still need a lot of human guidance. The article Google wants Gemini 4 Argon to be the only AI model robots need appeared first on The Decoder.

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GPT-6-Astra solves 49 of 50 physics research problems at $2.40 apiece

On the TheoPhysEval benchmark, GPT-6-Astra solves 49 of 50 unpublished theoretical physics calculations as accurately as leading specialists. In some cases where the agent seemed to fail, the experts' own reference solutions turned out to contain errors. But the researchers say physics hasn't had a breakthrough like the ones in mathematics, because the agents lack "taste." They still think autonomous, top-level AI research could arrive soon. They already see consequences for how young p