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A practical playbook for closing the gap from AI-assisted to human-supervised code generation, with rules that enforce themselves, agents that review each other, and trust earned one lint at a time.
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Exploring how LLMs can simulate human social behaviour through AI agents, using the 11-20 money request game as a testbed.
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A raw, honest reflection on startup failure, the founder's emotional crossroads, and the question of when to keep going.
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Raw and honest reflections from a European founder on life, work, and culture in San Francisco after four months.
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Exploring how task vectors enable editing models by adding, removing, or combining task-specific knowledge through simple arithmetic.
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A beginner-friendly introduction to Intelligence Processing Units (IPUs) by Graphcore, how they work, and how they compare to GPUs.
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An introduction to adversarial examples in machine learning, covering white box attacks (FGSM, BIM) and black box techniques.