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Neuron

Neuron

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NRN은 게임과 로봇공학을 시험장으로 사용하여 인공 일반 지능(AGI)으로의 진전을 가속화하는 생태계를 구축하고 있습니다. 이 플랫폼은 AI 에이전트를 혁신적인 게임 경험에 통합하고, 물리적 로봇에 배포하기 전에 시뮬레이션에서 구현된 지능을 훈련시킵니다.

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“We found that a single neuron can solve MNIST.” Konrad Kording's lab built a computational model of a single neuron that can recognize handwritten numbers — a hint that neurons can do more than we assumed. Full conversation on the @JuanBenet Podcast >>> https://t.co/uLosnelLsr https://t.

@protocollabs2026년 7월

You're asking the right question of the wrong science. It really did help me to study Theory of Mind and Epigentics more than Neuroscience. Computational models are super helpful too. But yeah there are a lot of gaps/missing-layers. Now we do have full neuron maps of insects though.

@afdudley02026년 6월

I animated how a neural network learns, from one neuron to backpropagation, simple math, no calculus required. Best 8 minutes you can spend if it has only ever been a black box to you.

@tetsuoai2026년 6월

The entire core of a neural network on four cards. Neuron, forward pass, activations, backprop. Learn these four and you understand how every model from a perceptron to a transformer predicts and learns.

@tetsuoai2026년 6월

What can a neuron compute? Real biological neurons are complex, but how capable are they? Using a new method, we found that a single cortical neuron can classify cats vs dogs, recognize spoken words, and solve 10-bit parity, all tasks thought to require entire networks. (1/15)

@chainyoda2026년 6월

RT @IdoAizenbud: What can a neuron compute? Real biological neurons are complex, but how capable are they? Using a new method, we found t…

@MartinShkreli2026년 6월

The neuron. weighted sums, a bias, a nonlinear bend.

@tetsuoai2026년 6월

I would dispute that. If you simulated every single neuron of Jules Caesar precisely, Jules Caesar to the best of our understanding would be conscious. There's no law of physics that explain why the substrate would matter, and if consciousness goes beyond physics then the physical substrate definit

@arthurb2026년 6월

The neuron. weighted sums, a bias, a nonlinear bend.

@tetsuoai2026년 5월

A single neuron is not intelligent. A single transistor is not intelligent. Yet when billions of them interact and exchange signals according to simple rules, something quite remarkable emerges. We call that phenomenon intelligence.

@kyegomezb2026년 5월