En 2012, AlexNet arrasó en ImageNet y puso el deep learning en el mapa. La IA dejó de ser experimento para convertirse en estándar.
💡Invierte hoy en innovación y marca tendencia.
Novedades de IA en InteligenciaArtificialHoy.com
💡Invierte hoy en innovación y marca tendencia.
Novedades de IA en InteligenciaArtificialHoy.com
November 9, 2025 at 6:07 AM
En 2012, AlexNet arrasó en ImageNet y puso el deep learning en el mapa. La IA dejó de ser experimento para convertirse en estándar.
💡Invierte hoy en innovación y marca tendencia.
Novedades de IA en InteligenciaArtificialHoy.com
💡Invierte hoy en innovación y marca tendencia.
Novedades de IA en InteligenciaArtificialHoy.com
This is so well timed, seeing how AI was touted 14 years ago. Really interesting to compare 2 years before alexnet to where we are now.
November 8, 2025 at 3:42 AM
This is so well timed, seeing how AI was touted 14 years ago. Really interesting to compare 2 years before alexnet to where we are now.
（´-`）.｡oO( カーパシーのインタビューが出て冷静になった論者からAIに対するまともな意見がようやく出てきている印象．あと数年でシンギュラリティは来るべくもないが，他の技術進展と同様，あと10年や15年(Alexnetから25年から30年)経つと，鉄道や電気やネットのように社会に浸透するだろうと． )
November 5, 2025 at 4:03 AM
（´-`）.｡oO( カーパシーのインタビューが出て冷静になった論者からAIに対するまともな意見がようやく出てきている印象．あと数年でシンギュラリティは来るべくもないが，他の技術進展と同様，あと10年や15年(Alexnetから25年から30年)経つと，鉄道や電気やネットのように社会に浸透するだろうと． )
Xiao, Zhao, Mao, Wang, Chen, Zhang, Wang, Wang, Liu, Chen, Liu: Casing Collar Identification using AlexNet-based Neural Networks for Depth Measurement in Oil and Gas Wells https://arxiv.org/abs/2511.00129 https://arxiv.org/pdf/2511.00129 https://arxiv.org/html/2511.00129
November 4, 2025 at 6:33 AM
Xiao, Zhao, Mao, Wang, Chen, Zhang, Wang, Wang, Liu, Chen, Liu: Casing Collar Identification using AlexNet-based Neural Networks for Depth Measurement in Oil and Gas Wells https://arxiv.org/abs/2511.00129 https://arxiv.org/pdf/2511.00129 https://arxiv.org/html/2511.00129
Quote sobre la importancia del reto ImageNet y el algoritmo AlexNet (by "Nexus: Una breve historia de las redes..." by Yuval Noah Harari) #ImageNet #AlexNet #IA #AI #reto #algoritmo #challenge emeshing.blogspot.com/2025/10/quot... via @emeshing.bsky.social
Quote sobre la importancia del reto ImageNet y el algoritmo AlexNet (by "Nexus: Una breve historia de las redes..." by Yuval Noah Harari) #ImageNet #AlexNet #IA #AI #reto #algoritmo #challenge
En el post de hoy os quiero traer la importancia del reto ImageNet y el algoritmo AlexNet , extraído del libro "Nexus: Una breve historia d...
emeshing.blogspot.com
October 31, 2025 at 9:40 AM
Quote sobre la importancia del reto ImageNet y el algoritmo AlexNet (by "Nexus: Una breve historia de las redes..." by Yuval Noah Harari) #ImageNet #AlexNet #IA #AI #reto #algoritmo #challenge emeshing.blogspot.com/2025/10/quot... via @emeshing.bsky.social
it is strange to watch this again. a couple years after alexnet, but every ai-related point has seen surprising poor progress in the past decade.
but the main point is true. all of my (real) jobs have included automating my own job.
m.youtube.com/watch?v=7Pq-...
but the main point is true. all of my (real) jobs have included automating my own job.
m.youtube.com/watch?v=7Pq-...
Humans Are Becoming Horses
m.youtube.com
October 27, 2025 at 8:43 PM
it is strange to watch this again. a couple years after alexnet, but every ai-related point has seen surprising poor progress in the past decade.
but the main point is true. all of my (real) jobs have included automating my own job.
m.youtube.com/watch?v=7Pq-...
but the main point is true. all of my (real) jobs have included automating my own job.
m.youtube.com/watch?v=7Pq-...
My hopes and dreams are that AlexNet never happened and LLMs don’t exist because AI is and will be used by the owners of capital to exploit labor.
October 25, 2025 at 11:07 PM
My hopes and dreams are that AlexNet never happened and LLMs don’t exist because AI is and will be used by the owners of capital to exploit labor.
In 2012, two grad students with gaming GPUs entered ImageNet and won by a landslide. AlexNet didn't just win—it obliterated the competition with half the error rate. The deep learning revolution started because gamers accidentally built the perfect AI hardware.
October 25, 2025 at 1:00 PM
In 2012, two grad students with gaming GPUs entered ImageNet and won by a landslide. AlexNet didn't just win—it obliterated the competition with half the error rate. The deep learning revolution started because gamers accidentally built the perfect AI hardware.
Classicism, as measured in years: max Before Alexnet (or min After Marr) 😉
October 22, 2025 at 10:12 AM
Classicism, as measured in years: max Before Alexnet (or min After Marr) 😉
How so? 🤔.
And how do we do Classical time keeping (?)
- 10 years BA (Before Alexnet)
- 10 years AM (After Marr)
- ... (?)
And how do we do Classical time keeping (?)
- 10 years BA (Before Alexnet)
- 10 years AM (After Marr)
- ... (?)
October 21, 2025 at 8:16 PM
How so? 🤔.
And how do we do Classical time keeping (?)
- 10 years BA (Before Alexnet)
- 10 years AM (After Marr)
- ... (?)
And how do we do Classical time keeping (?)
- 10 years BA (Before Alexnet)
- 10 years AM (After Marr)
- ... (?)
The era of Scientific Superintelligence is here. From the 2012 publication of CRISRP and AlexNet, to the 2022 release of ChatGPT-3, the next decade will reimagine the paradigm of the scientific method. Aligned Accelerated Discovery.
#AI #Biotech
www.connectedideasproject.com/p/ep-51-teac...
#AI #Biotech
www.connectedideasproject.com/p/ep-51-teac...
Ep 51 - Teaching Science to Know Itself
The coming age of scientific superintelligence and the technologies that will make it possible
www.connectedideasproject.com
October 21, 2025 at 12:38 PM
The era of Scientific Superintelligence is here. From the 2012 publication of CRISRP and AlexNet, to the 2022 release of ChatGPT-3, the next decade will reimagine the paradigm of the scientific method. Aligned Accelerated Discovery.
#AI #Biotech
www.connectedideasproject.com/p/ep-51-teac...
#AI #Biotech
www.connectedideasproject.com/p/ep-51-teac...
Deep learning is revolutionary, as it has been since AlexNet. It will likely build revolutionary intelligence.
LLMs - enabled by word vectorization - are the most magical application yet, but may well just be a deceptive sneak peek.
At the moment, we are playing with toys we don't understand.
LLMs - enabled by word vectorization - are the most magical application yet, but may well just be a deceptive sneak peek.
At the moment, we are playing with toys we don't understand.
October 17, 2025 at 2:32 AM
Deep learning is revolutionary, as it has been since AlexNet. It will likely build revolutionary intelligence.
LLMs - enabled by word vectorization - are the most magical application yet, but may well just be a deceptive sneak peek.
At the moment, we are playing with toys we don't understand.
LLMs - enabled by word vectorization - are the most magical application yet, but may well just be a deceptive sneak peek.
At the moment, we are playing with toys we don't understand.
I'm seeing more use of "traditional machine learning" instead of "AI". I love this, cuz
1. It says industry is sick of "AI" poisoning the term "AI"
2. It is a new, clear term that accurately describes legitimate ML work
3. It's funny cuz "traditional" stretches back to ~2012 with AlexNet lmao.
1. It says industry is sick of "AI" poisoning the term "AI"
2. It is a new, clear term that accurately describes legitimate ML work
3. It's funny cuz "traditional" stretches back to ~2012 with AlexNet lmao.
October 15, 2025 at 10:51 PM
I'm seeing more use of "traditional machine learning" instead of "AI". I love this, cuz
1. It says industry is sick of "AI" poisoning the term "AI"
2. It is a new, clear term that accurately describes legitimate ML work
3. It's funny cuz "traditional" stretches back to ~2012 with AlexNet lmao.
1. It says industry is sick of "AI" poisoning the term "AI"
2. It is a new, clear term that accurately describes legitimate ML work
3. It's funny cuz "traditional" stretches back to ~2012 with AlexNet lmao.
I’m not saying that everything that came out of that time was completely vacuous. I do think a lot of the theory writing can be easily applied toward intimate relationships with LLMs. The field was prescient in ways it may not have meant to be, as books were being written in the time of AlexNet.
October 14, 2025 at 6:04 PM
I’m not saying that everything that came out of that time was completely vacuous. I do think a lot of the theory writing can be easily applied toward intimate relationships with LLMs. The field was prescient in ways it may not have meant to be, as books were being written in the time of AlexNet.
I think you lost me here. I was following ML theory from LLMs to alexnet and convnets but I never "got" attention
October 13, 2025 at 7:01 PM
I think you lost me here. I was following ML theory from LLMs to alexnet and convnets but I never "got" attention
Certainly a big leap. Another perspective I sometimes entertain is that AlexNet used around 60 million trainable parameters and when reading conference papers nowadays, many of the main experiments are on models of around ViT-B size which has around 85 million parameters.
October 12, 2025 at 8:35 PM
Certainly a big leap. Another perspective I sometimes entertain is that AlexNet used around 60 million trainable parameters and when reading conference papers nowadays, many of the main experiments are on models of around ViT-B size which has around 85 million parameters.
The required compute was typically a couple of GPUs on a single desktop machine, trained over several days; e.g., AlexNet was trained on two GTX 580 3GB GPUs for 5-6 days.
October 12, 2025 at 3:46 PM
The required compute was typically a couple of GPUs on a single desktop machine, trained over several days; e.g., AlexNet was trained on two GTX 580 3GB GPUs for 5-6 days.
In the 'early days' of modern deep learning (2012-2015) when ConvNets such as AlexNet or VGG came out, it was considered almost impractical to train an ImageNet classifier from scratch.
October 12, 2025 at 3:46 PM
In the 'early days' of modern deep learning (2012-2015) when ConvNets such as AlexNet or VGG came out, it was considered almost impractical to train an ImageNet classifier from scratch.
Кой да предположи че от Alexnet до тази свинщина отне само 12-13 години.
October 7, 2025 at 4:45 PM
Кой да предположи че от Alexnet до тази свинщина отне само 12-13 години.
BlockFUL adds a dual‑chain to blockchain‑based federated learning enabling unlearning. Tests on CIFAR‑10 and Fashion‑MNIST with AlexNet and ResNet‑18 cut data influence. https://getnews.me/blockful-enables-unlearning-in-blockchain-based-federated-learning/ #blockchain #federatedai
October 1, 2025 at 7:41 AM
BlockFUL adds a dual‑chain to blockchain‑based federated learning enabling unlearning. Tests on CIFAR‑10 and Fashion‑MNIST with AlexNet and ResNet‑18 cut data influence. https://getnews.me/blockful-enables-unlearning-in-blockchain-based-federated-learning/ #blockchain #federatedai
It’s also quite surprising how AlexNet and ChatGPT are 10 years apart. Also makes me think about the role of luck in all of this… I’m pretty much 10 years apart with Ilya, but if I would have done my PhD in NLP, I would’ve been become obsolete. It is really hard to compare…
September 28, 2025 at 11:24 AM
It’s also quite surprising how AlexNet and ChatGPT are 10 years apart. Also makes me think about the role of luck in all of this… I’m pretty much 10 years apart with Ilya, but if I would have done my PhD in NLP, I would’ve been become obsolete. It is really hard to compare…
synthetica dropped the same year as alexnet
I’m not sayin’, I’m just sayin’
m.youtube.com/watch?v=d6h_...
I’m not sayin’, I’m just sayin’
m.youtube.com/watch?v=d6h_...
METRIC - Synthetica (Official Video)
m.youtube.com
September 27, 2025 at 3:45 PM
synthetica dropped the same year as alexnet
I’m not sayin’, I’m just sayin’
m.youtube.com/watch?v=d6h_...
I’m not sayin’, I’m just sayin’
m.youtube.com/watch?v=d6h_...
In 2012, the breakthrough in deep learning came with AlexNet, a neural network that won the ImageNet competition, drastically improving image recognition and igniting the AI revolution we see today! #AIHistory #DeepLearning #AlexNet
September 24, 2025 at 12:21 PM
In 2012, the breakthrough in deep learning came with AlexNet, a neural network that won the ImageNet competition, drastically improving image recognition and igniting the AI revolution we see today! #AIHistory #DeepLearning #AlexNet
Funny thing AI/ML started out trying to be clever but in 2012 (AlexNet) broke the mold. From then on it's been more data and more compute.
And I think we've finally hit the limits there so it's back to being clever to get progress.
And I think we've finally hit the limits there so it's back to being clever to get progress.
September 23, 2025 at 10:03 PM
Funny thing AI/ML started out trying to be clever but in 2012 (AlexNet) broke the mold. From then on it's been more data and more compute.
And I think we've finally hit the limits there so it's back to being clever to get progress.
And I think we've finally hit the limits there so it's back to being clever to get progress.