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#perceptron — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #perceptron, aggregated by home.social.

  1. From simple neurons to memory - the evolution of language models

    From a single neuron in 1958, through MLP and RNN with the forgetting problem, to LSTM with memory g...

    gruszka.dev/en/from-neurons-to
    #llm #ai #neuralnetworks #rnn #lstm #perceptron #mlp #languagemodels #deeplearning

  2. From simple neurons to memory - the evolution of language models

    From a single neuron in 1958, through MLP and RNN with the forgetting problem, to LSTM with memory g...

    gruszka.dev/en/from-neurons-to
    #llm #ai #neuralnetworks #rnn #lstm #perceptron #mlp #languagemodels #deeplearning

  3. From simple neurons to memory - the evolution of language models

    From a single neuron in 1958, through MLP and RNN with the forgetting problem, to LSTM with memory g...

    gruszka.dev/en/from-neurons-to
    #llm #ai #neuralnetworks #rnn #lstm #perceptron #mlp #languagemodels #deeplearning

  4. From simple neurons to memory - the evolution of language models

    From a single neuron in 1958, through MLP and RNN with the forgetting problem, to LSTM with memory g...

    gruszka.dev/en/from-neurons-to
    #llm #ai #neuralnetworks #rnn #lstm #perceptron #mlp #languagemodels #deeplearning

  5. From simple neurons to memory - the evolution of language models

    From a single neuron in 1958, through MLP and RNN with the forgetting problem, to LSTM with memory g...

    gruszka.dev/en/from-neurons-to
    #llm #ai #neuralnetworks #rnn #lstm #perceptron #mlp #languagemodels #deeplearning

  6. Od prostych neuronów do pamięci – ewolucja modeli językowych

    Od pojedynczego neuronu w 1958 roku, przez MLP i RNN z problemem zapominania, aż po LSTM z bramkami ...

    gruszka.dev/od-prostych-neuron
    #llm #ai #neuralnetworks #rnn #lstm #perceptron #mlp #languagemodels #deeplearning

  7. Od prostych neuronów do pamięci – ewolucja modeli językowych

    Od pojedynczego neuronu w 1958 roku, przez MLP i RNN z problemem zapominania, aż po LSTM z bramkami ...

    gruszka.dev/od-prostych-neuron
    #llm #ai #neuralnetworks #rnn #lstm #perceptron #mlp #languagemodels #deeplearning

  8. Od prostych neuronów do pamięci – ewolucja modeli językowych

    Od pojedynczego neuronu w 1958 roku, przez MLP i RNN z problemem zapominania, aż po LSTM z bramkami ...

    gruszka.dev/od-prostych-neuron
    #llm #ai #neuralnetworks #rnn #lstm #perceptron #mlp #languagemodels #deeplearning

  9. In a mind-boggling twist, a self-proclaimed genius constructs a #perceptron in a 1999 video game 🎮 to prove... what exactly? 🤔 Apparently, Age of Empires II can teach us more about #AI than actual AI research can. Who knew medieval strategy games were the real gatekeepers of machine learning wisdom? 🏰💡
    adewynter.github.io/notes/aoe2 #AgeOfEmpires #MachineLearning #GamingWisdom #HackerNews #ngated

  10. In a mind-boggling twist, a self-proclaimed genius constructs a #perceptron in a 1999 video game 🎮 to prove... what exactly? 🤔 Apparently, Age of Empires II can teach us more about #AI than actual AI research can. Who knew medieval strategy games were the real gatekeepers of machine learning wisdom? 🏰💡
    adewynter.github.io/notes/aoe2 #AgeOfEmpires #MachineLearning #GamingWisdom #HackerNews #ngated

  11. In a mind-boggling twist, a self-proclaimed genius constructs a #perceptron in a 1999 video game 🎮 to prove... what exactly? 🤔 Apparently, Age of Empires II can teach us more about #AI than actual AI research can. Who knew medieval strategy games were the real gatekeepers of machine learning wisdom? 🏰💡
    adewynter.github.io/notes/aoe2 #AgeOfEmpires #MachineLearning #GamingWisdom #HackerNews #ngated

  12. In a mind-boggling twist, a self-proclaimed genius constructs a #perceptron in a 1999 video game 🎮 to prove... what exactly? 🤔 Apparently, Age of Empires II can teach us more about #AI than actual AI research can. Who knew medieval strategy games were the real gatekeepers of machine learning wisdom? 🏰💡
    adewynter.github.io/notes/aoe2 #AgeOfEmpires #MachineLearning #GamingWisdom #HackerNews #ngated

  13. In a mind-boggling twist, a self-proclaimed genius constructs a #perceptron in a 1999 video game 🎮 to prove... what exactly? 🤔 Apparently, Age of Empires II can teach us more about #AI than actual AI research can. Who knew medieval strategy games were the real gatekeepers of machine learning wisdom? 🏰💡
    adewynter.github.io/notes/aoe2 #AgeOfEmpires #MachineLearning #GamingWisdom #HackerNews #ngated

  14. "“If LLMs Have Human-Like Attributes, Then So Does Age of Empires II,” is the title of Adrian de Wynter’s paper showing his work. He told 404 Media that absurdity can be a powerful tool. “I have this tendency to dial up things to 11 when I really think I need to make a point,” he said. “I should also note that absurdism is pretty standard in philosophy and theoretical computer science.”

    And so De Wynter built an LLM within AoEII using goats. “The point of the paper is to formally show that we anthropomorphise too readily, and that sometimes the claims we make with regards to LLM capabilities are too strong,” he told 404 Media. “It's not an easy task, given that ‘human-like attributes’ is a bit of an abstract term.”
    AoEII has a scenario editor, a sandbox mode that allows players to craft their own maps and quests using the game’s assets, and De Wynter used that to build an operational NOT AND (NAND) gate and a 1-bit perceptron within the game. In this crude version of an LLM, grass is 0, bridges are 1, and goats are the bits. “Only one rail is active at a time, with a goat acting as the signal carrier. When the gate fires, the bit-goats are removed (they ded) and a new bit-goat is placed in its respective output rail,” Wynter explained on his GitHub.

    A perceptron is the simplest form of a neural network, it’s an algorithm that sorts an input into binary classes. YouTube is littered with videos of players doing the same thing with redstone in Minecraft. But no one claims the goats of AoEII are neurons in a thinking machine or that the complicated tracks of NAND gates players build in Minecraft show emergent intelligence."

    404media.co/if-ai-is-sentient-

    #AI #GenerativeAI #LLMs #NeuralNetworks #VideoGames #AgeOfEmpires #Perceptron

  15. "“If LLMs Have Human-Like Attributes, Then So Does Age of Empires II,” is the title of Adrian de Wynter’s paper showing his work. He told 404 Media that absurdity can be a powerful tool. “I have this tendency to dial up things to 11 when I really think I need to make a point,” he said. “I should also note that absurdism is pretty standard in philosophy and theoretical computer science.”

    And so De Wynter built an LLM within AoEII using goats. “The point of the paper is to formally show that we anthropomorphise too readily, and that sometimes the claims we make with regards to LLM capabilities are too strong,” he told 404 Media. “It's not an easy task, given that ‘human-like attributes’ is a bit of an abstract term.”
    AoEII has a scenario editor, a sandbox mode that allows players to craft their own maps and quests using the game’s assets, and De Wynter used that to build an operational NOT AND (NAND) gate and a 1-bit perceptron within the game. In this crude version of an LLM, grass is 0, bridges are 1, and goats are the bits. “Only one rail is active at a time, with a goat acting as the signal carrier. When the gate fires, the bit-goats are removed (they ded) and a new bit-goat is placed in its respective output rail,” Wynter explained on his GitHub.

    A perceptron is the simplest form of a neural network, it’s an algorithm that sorts an input into binary classes. YouTube is littered with videos of players doing the same thing with redstone in Minecraft. But no one claims the goats of AoEII are neurons in a thinking machine or that the complicated tracks of NAND gates players build in Minecraft show emergent intelligence."

    404media.co/if-ai-is-sentient-

    #AI #GenerativeAI #LLMs #NeuralNetworks #VideoGames #AgeOfEmpires #Perceptron

  16. "“If LLMs Have Human-Like Attributes, Then So Does Age of Empires II,” is the title of Adrian de Wynter’s paper showing his work. He told 404 Media that absurdity can be a powerful tool. “I have this tendency to dial up things to 11 when I really think I need to make a point,” he said. “I should also note that absurdism is pretty standard in philosophy and theoretical computer science.”

    And so De Wynter built an LLM within AoEII using goats. “The point of the paper is to formally show that we anthropomorphise too readily, and that sometimes the claims we make with regards to LLM capabilities are too strong,” he told 404 Media. “It's not an easy task, given that ‘human-like attributes’ is a bit of an abstract term.”
    AoEII has a scenario editor, a sandbox mode that allows players to craft their own maps and quests using the game’s assets, and De Wynter used that to build an operational NOT AND (NAND) gate and a 1-bit perceptron within the game. In this crude version of an LLM, grass is 0, bridges are 1, and goats are the bits. “Only one rail is active at a time, with a goat acting as the signal carrier. When the gate fires, the bit-goats are removed (they ded) and a new bit-goat is placed in its respective output rail,” Wynter explained on his GitHub.

    A perceptron is the simplest form of a neural network, it’s an algorithm that sorts an input into binary classes. YouTube is littered with videos of players doing the same thing with redstone in Minecraft. But no one claims the goats of AoEII are neurons in a thinking machine or that the complicated tracks of NAND gates players build in Minecraft show emergent intelligence."

    404media.co/if-ai-is-sentient-

    #AI #GenerativeAI #LLMs #NeuralNetworks #VideoGames #AgeOfEmpires #Perceptron

  17. "“If LLMs Have Human-Like Attributes, Then So Does Age of Empires II,” is the title of Adrian de Wynter’s paper showing his work. He told 404 Media that absurdity can be a powerful tool. “I have this tendency to dial up things to 11 when I really think I need to make a point,” he said. “I should also note that absurdism is pretty standard in philosophy and theoretical computer science.”

    And so De Wynter built an LLM within AoEII using goats. “The point of the paper is to formally show that we anthropomorphise too readily, and that sometimes the claims we make with regards to LLM capabilities are too strong,” he told 404 Media. “It's not an easy task, given that ‘human-like attributes’ is a bit of an abstract term.”
    AoEII has a scenario editor, a sandbox mode that allows players to craft their own maps and quests using the game’s assets, and De Wynter used that to build an operational NOT AND (NAND) gate and a 1-bit perceptron within the game. In this crude version of an LLM, grass is 0, bridges are 1, and goats are the bits. “Only one rail is active at a time, with a goat acting as the signal carrier. When the gate fires, the bit-goats are removed (they ded) and a new bit-goat is placed in its respective output rail,” Wynter explained on his GitHub.

    A perceptron is the simplest form of a neural network, it’s an algorithm that sorts an input into binary classes. YouTube is littered with videos of players doing the same thing with redstone in Minecraft. But no one claims the goats of AoEII are neurons in a thinking machine or that the complicated tracks of NAND gates players build in Minecraft show emergent intelligence."

    404media.co/if-ai-is-sentient-

    #AI #GenerativeAI #LLMs #NeuralNetworks #VideoGames #AgeOfEmpires #Perceptron

  18. "“If LLMs Have Human-Like Attributes, Then So Does Age of Empires II,” is the title of Adrian de Wynter’s paper showing his work. He told 404 Media that absurdity can be a powerful tool. “I have this tendency to dial up things to 11 when I really think I need to make a point,” he said. “I should also note that absurdism is pretty standard in philosophy and theoretical computer science.”

    And so De Wynter built an LLM within AoEII using goats. “The point of the paper is to formally show that we anthropomorphise too readily, and that sometimes the claims we make with regards to LLM capabilities are too strong,” he told 404 Media. “It's not an easy task, given that ‘human-like attributes’ is a bit of an abstract term.”
    AoEII has a scenario editor, a sandbox mode that allows players to craft their own maps and quests using the game’s assets, and De Wynter used that to build an operational NOT AND (NAND) gate and a 1-bit perceptron within the game. In this crude version of an LLM, grass is 0, bridges are 1, and goats are the bits. “Only one rail is active at a time, with a goat acting as the signal carrier. When the gate fires, the bit-goats are removed (they ded) and a new bit-goat is placed in its respective output rail,” Wynter explained on his GitHub.

    A perceptron is the simplest form of a neural network, it’s an algorithm that sorts an input into binary classes. YouTube is littered with videos of players doing the same thing with redstone in Minecraft. But no one claims the goats of AoEII are neurons in a thinking machine or that the complicated tracks of NAND gates players build in Minecraft show emergent intelligence."

    404media.co/if-ai-is-sentient-

    #AI #GenerativeAI #LLMs #NeuralNetworks #VideoGames #AgeOfEmpires #Perceptron

  19. 🧠 Ah yes, the "smallest brain"—a #perceptron. It's so basic, even your cat could code it 🐾. But fear not—our trusty guide stumbles through #Python like a toddler on roller skates, promising "interactive demos" that redefine boredom one epoch at a time. 🙄
    ranpara.net/posts/perceptron-e #smallestbrain #coding #interactive #demos #AIlearning #HackerNews #ngated

  20. 🧠 Ah yes, the "smallest brain"—a #perceptron. It's so basic, even your cat could code it 🐾. But fear not—our trusty guide stumbles through #Python like a toddler on roller skates, promising "interactive demos" that redefine boredom one epoch at a time. 🙄
    ranpara.net/posts/perceptron-e #smallestbrain #coding #interactive #demos #AIlearning #HackerNews #ngated

  21. 🧠 Ah yes, the "smallest brain"—a #perceptron. It's so basic, even your cat could code it 🐾. But fear not—our trusty guide stumbles through #Python like a toddler on roller skates, promising "interactive demos" that redefine boredom one epoch at a time. 🙄
    ranpara.net/posts/perceptron-e #smallestbrain #coding #interactive #demos #AIlearning #HackerNews #ngated

  22. 🧠 Ah yes, the "smallest brain"—a #perceptron. It's so basic, even your cat could code it 🐾. But fear not—our trusty guide stumbles through #Python like a toddler on roller skates, promising "interactive demos" that redefine boredom one epoch at a time. 🙄
    ranpara.net/posts/perceptron-e #smallestbrain #coding #interactive #demos #AIlearning #HackerNews #ngated

  23. 🧠 Ah yes, the "smallest brain"—a #perceptron. It's so basic, even your cat could code it 🐾. But fear not—our trusty guide stumbles through #Python like a toddler on roller skates, promising "interactive demos" that redefine boredom one epoch at a time. 🙄
    ranpara.net/posts/perceptron-e #smallestbrain #coding #interactive #demos #AIlearning #HackerNews #ngated

  24. In our #KDAI2026 lecture this week we were taking a tour de force from perceptrons to transformers, 60 years of neural networks in a ninety minutes lecture.

    #lecture @fiz_karlsruhe @fizise @KIT_Karlsruhe #AI #llms #perceptron #neuralnetwork #transformer #bert #gpt #lstm #rnn #transferlearning #machinelearning #cowboybebop

  25. In our #KDAI2026 lecture this week we were taking a tour de force from perceptrons to transformers, 60 years of neural networks in a ninety minutes lecture.

    #lecture @fiz_karlsruhe @fizise @KIT_Karlsruhe #AI #llms #perceptron #neuralnetwork #transformer #bert #gpt #lstm #rnn #transferlearning #machinelearning #cowboybebop

  26. In our #KDAI2026 lecture this week we were taking a tour de force from perceptrons to transformers, 60 years of neural networks in a ninety minutes lecture.

    #lecture @fiz_karlsruhe @fizise @KIT_Karlsruhe #AI #llms #perceptron #neuralnetwork #transformer #bert #gpt #lstm #rnn #transferlearning #machinelearning #cowboybebop

  27. In our #KDAI2026 lecture this week we were taking a tour de force from perceptrons to transformers, 60 years of neural networks in a ninety minutes lecture.

    #lecture @fiz_karlsruhe @fizise @KIT_Karlsruhe #AI #llms #perceptron #neuralnetwork #transformer #bert #gpt #lstm #rnn #transferlearning #machinelearning #cowboybebop

  28. Bạn muốn tự xây dựng khối nền tảng AI – Perceptron? Bài viết hướng dẫn chi tiết cách tạo Perceptron trong bất kỳ ngôn ngữ lập trình nào chỉ trong một buổi chiều. Thích hợp cho lập trình viên muốn nắm bắt sâu hơn về kiến trúc mạng nơ‑ron. #AI #Perceptron #MachineLearning #LậpTrình #HọcMáy #TríTuệNhânTạo

    reddit.com/r/programming/comme

  29. Bạn muốn tự xây dựng Perceptron – nền tảng của AI hiện đại – trong một buổi chiều? Bài viết hướng dẫn chi tiết cách triển khai bằng bất kỳ ngôn ngữ nào, phù hợp cho lập trình viên muốn nắm bắt cơ sở mạng nơ‑ron. #AI #Perceptron #MachineLearning #HọcMáy #LậpTrình #CôngNghệ

    reddit.com/r/programming/comme

  30. The perceptron, introduced by Frank Rosenblatt in 1957, was the first neural network model to gain wide attention. Initially hailed as a step toward machines that could “see, talk, and think,” it soon revealed limits: single-layer perceptrons could only solve linearly separable problems. After Minsky & Papert’s critique (1969), research funding dried up—until multilayer perceptrons and backpropagation revived neural networks in the 1980s.
    en.m.wikipedia.org/wiki/Percep
    #NeuralNetworks #Perceptron

  31. The perceptron, introduced by Frank Rosenblatt in 1957, was the first neural network model to gain wide attention. Initially hailed as a step toward machines that could “see, talk, and think,” it soon revealed limits: single-layer perceptrons could only solve linearly separable problems. After Minsky & Papert’s critique (1969), research funding dried up—until multilayer perceptrons and backpropagation revived neural networks in the 1980s.
    en.m.wikipedia.org/wiki/Percep
    #NeuralNetworks #Perceptron

  32. The perceptron, introduced by Frank Rosenblatt in 1957, was the first neural network model to gain wide attention. Initially hailed as a step toward machines that could “see, talk, and think,” it soon revealed limits: single-layer perceptrons could only solve linearly separable problems. After Minsky & Papert’s critique (1969), research funding dried up—until multilayer perceptrons and backpropagation revived neural networks in the 1980s.
    en.m.wikipedia.org/wiki/Percep
    #NeuralNetworks #Perceptron

  33. The perceptron, introduced by Frank Rosenblatt in 1957, was the first neural network model to gain wide attention. Initially hailed as a step toward machines that could “see, talk, and think,” it soon revealed limits: single-layer perceptrons could only solve linearly separable problems. After Minsky & Papert’s critique (1969), research funding dried up—until multilayer perceptrons and backpropagation revived neural networks in the 1980s.
    en.m.wikipedia.org/wiki/Percep
    #NeuralNetworks #Perceptron

  34. The perceptron, introduced by Frank Rosenblatt in 1957, was the first neural network model to gain wide attention. Initially hailed as a step toward machines that could “see, talk, and think,” it soon revealed limits: single-layer perceptrons could only solve linearly separable problems. After Minsky & Papert’s critique (1969), research funding dried up—until multilayer perceptrons and backpropagation revived neural networks in the 1980s.
    en.m.wikipedia.org/wiki/Percep
    #NeuralNetworks #Perceptron