AiBrain Posts
Browse all articles covering artificial intelligence, AGI development, machine learning, and technology insights with practical perspectives.
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Context engineering: why 600 skills make your agents less effective
Published: at 11:15 PMSkills and AGENTS.md files can help AI agents, but only when context is selected with precision. Too much context increases cost, slows agents down, and can degrade their answers.
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The 5 cognitive biases in LLMs that attackers exploit
Published: at 02:00 AMAttacks against LLMs exploit less isolated technical flaws than the biases created by alignment: helpfulness, authority, self-generated anchoring, confirmation, and empathy.
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DeepSeek V4: how to run 1.6 trillion parameters without burning the planet
Published: at 02:00 AMDeepSeek V4 shows how a 1.6 trillion parameter model can become more efficient by changing its architecture: MoE, hybrid attention, mHC, Muon, and FP4 reduce wasted compute instead of adding brute force.
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DeepSeek V4: the lab drawing the blueprints for future LLMs
Published: at 02:00 AMDeepSeek V4 is the model I am waiting for most in 2026, not because of the benchmark race, but because of what its architectural choices reveal about how future LLMs may be built.