#AlexNet
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buttplug.engineer
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.
kofie.bsky.social Kofie @kofie.bsky.social · 4d
The time Ken Jennings and Brad Rutter played Jeopardy against a supercomputer

youtu.be/ubwFPvFUmOI
November 8, 2025 at 3:42 AM
matt.creenan.me
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
jvgemert.bsky.social
How so? 🤔.

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
alexandertitus.com
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...
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
christosilvia.bsky.social
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
irisvanrooij.bsky.social
“Although some differentiate AI and non-AI systems by appealing to generative models versus other types of AI, we are convinced that this does not bring clarity …, and we can fall head first into misuse of terminology and fostering industry hype (see … Figure 1)”

zenodo.org/records/1706...

7/🧵
Figure 1. A cartoon set theoretic view on various terms (see Table 1) used when discussing the superset AI (black outline, hatched background): LLMs are in orange; ANNs are in magenta; generative models are in blue; and finally, chatbots are in green. Where these intersect, the colours reflect that, e.g. generative ad- versarial network (GAN) and Boltzmann machine (BM) models are in the purple subset because they are both generative and ANNs. In the case of proprietary closed source models, e.g. OpenAI’s ChatGPT and Apple’s Siri, we cannot verify their implementation and so academics can only make educated guesses (cf. Dingemanse 2025). Undefined terms used above: BERT (Devlin et al. 2019); AlexNet (Krizhevsky et al. 2017); A.L.I.C.E. (Wallace 2009); ELIZA (Weizenbaum 1966); Jabberwacky (Twist 2003); linear discrim- inant analysis (LDA); quadratic discriminant analysis (QDA).
September 19, 2025 at 10:50 PM
segyges.bsky.social
i just realized the date on the post is like six months before alexnet. this is perfect. i am using this all the time
September 12, 2025 at 8:02 AM
srchvrs.bsky.social
AlexNet was run on two GPUs (inside servers/desktops built by a superstar sysadmin) in Alex Krizhevsky bedroom!
Paper link: arxiv.org/abs/1404.5997
ex-Twitter thread: x.com/colinraffel/...
November 28, 2024 at 8:33 PM
pooneil.bsky.social
ジェフリー・ヒントンのノーベル賞受賞は深層学習(AlexNet 2012)ではない。だからヤン・ルカンやヨシュア・ベンジオが同時受賞しないのはおかしいことではない。といいつつ原文にあたってなかったなと思って調べてみた。

ヒントンの受賞理由はノーベル賞のサイトのここにある。
www.nobelprize.org/prizes/physi...

「1983年から1985年にかけて、ジェフリー・ヒントンは統計物理学のツールを用いて、データセット内の特徴的な要素を認識する能力を学習できるボルツマン・マシンを開発した。」

明示的に「ボルツマン・マシン」で受賞したと書いてあった。(制限BMでもない)
October 19, 2024 at 6:43 AM
giovanni-popolizio.bsky.social
Machine Learning Capitolo 3 – Reti Neurali Convoluzionali + Software

Giovanni Popolizio anon@m00n

www.aiutocomputerhelp.it?p=14851

#Basi

Tag : #Alex_Krizhevsky #AlexNet #CIFAR_10 #CNN #coding #Convolutional_Neural_Networks #Deep_Learning #Ilya_Sutskever #LeNet #Reti_Neurali_Convoluzionali
Introduzione alle CNN: Software e strumenti per il Deep Learning. C.3
Le Reti Neurali Convoluzionali, rappresentano uno dei pilastri fondamentali del Deep Learning. Conosciamole + 2 Software
www.aiutocomputerhelp.it
April 28, 2025 at 4:36 AM
dmitryontech.bsky.social
1/11 GPUs are no longer just for gaming — they’re the backbone of modern AI. From AlexNet in 2012 to trillion-parameter LLMs today, NVIDIA GPUs have powered every leap in deep learning.

Here’s a 2025 guide to the best GPUs for AI 🧵Click to see the link 👇
August 18, 2025 at 10:33 PM
hnws.bsky.social
CHM Releases AlexNet Source Code
L: https://computerhistory.org/blog/chm-releases-alexnet-source-code/
C: https://news.ycombinator.com/item?id=43426134
posted on 2025.03.20 at 13:25:48 (c=0, p=6)
March 20, 2025 at 11:52 PM
llms.activitypub.awakari.com.ap.brid.gy
Revolutionary Code in AI History is Now Open Source AlexNet revolutionized the use of neural netw...

https://www.eweek.com/news/news-alexnet-source-code-computer-history-ai/

#Latest #News

Event Attributes
Revolutionary Code in AI History is Now Open Source
AlexNet revolutionized the use of neural networks for computer vision, creating one of the underpinnings of generative AI.
www.eweek.com
March 26, 2025 at 7:52 PM
cslg-bot.bsky.social
to dynamically switch between compact and full-sized configurations without retraining, making it suitable for deployment across varying hardware platforms. Experiments conducted across multiple CNN architectures including VGG-16, AlexNet, ResNet-20, [4/6 of https://arxiv.org/abs/2505.11569v1]
May 20, 2025 at 5:58 AM
lenoxus.bsky.social
Maybe one way to "tax" AI would be a total revamp of copyright laws to factor tech in. In order to be covered by copyright the work must have been made solely using technology from before, say, 2012 (the publication of the AlexNet paper). Otherwise, how is it meaningfully "yours"?
August 18, 2025 at 10:24 PM
getnews-me.bsky.social
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
BlockFUL Enables Unlearning in Blockchain-Based Federated Learning
October 1, 2025 at 7:41 AM
yutakashino.bsky.social
（´-`）.｡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
segyges.bsky.social
imho this has been the correct take since alexnet
December 24, 2024 at 6:39 PM
the.bigred.dog
You're right, tho--we don't know where this is going. But we didn't know where it was going in 2021 pre-ChatGPT, or pre-2017, pre "All You Need", or in 2007, pre-CUDA. Yet we kept going and progressing and learning and developing. Hell, AlexNet had the same "wow, what even are the limits?" takes.
February 13, 2025 at 5:26 PM
Finally Turing award for Barton & Sutton. Kinda overdue, but amazing to think AlexNet was only 11 yrs ago & Bengio-Hinton-LeCun award was 2018. I would've followed that with a Turing for RL within a couple years, but then again I don't follow who has won since. Recognition well deserved.
March 5, 2025 at 8:24 PM
arxivlens.bsky.social
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
olivia.science
Finally! 🤩 Our position piece: Against the Uncritical Adoption of 'AI' Technologies in Academia:
doi.org/10.5281/zeno...

We unpick the tech industry’s marketing, hype, & harm; and we argue for safeguarding higher education, critical
thinking, expertise, academic freedom, & scientific integrity.
1/n
Abstract: Under the banner of progress, products have been uncritically adopted or even imposed on users — in past centuries with tobacco and combustion engines, and in the 21st with social media. For these collective blunders, we now regret our involvement or apathy as scientists, and society struggles to put the genie back in the bottle. Currently, we are similarly entangled with artificial intelligence (AI) technology. For example, software updates are rolled out seamlessly and non-consensually, Microsoft Office is bundled with chatbots, and we, our students, and our employers have had no say, as it is not considered a valid position to reject AI technologies in our teaching and research. This is why in June 2025, we co-authored an Open Letter calling on our employers to reverse and rethink their stance on uncritically adopting AI technologies. In this position piece, we expound on why universities must take their role seriously toa) counter the technology industry’s marketing, hype, and harm; and to b) safeguard higher education, critical thinking, expertise, academic freedom, and scientific integrity. We include pointers to relevant work to further inform our colleagues. Figure 1. A cartoon set theoretic view on various terms (see Table 1) used when discussing the superset AI (black outline, hatched background): LLMs are in orange; ANNs are in magenta; generative models are in blue; and finally, chatbots are in green. Where these intersect, the colours reflect that, e.g. generative adversarial network (GAN) and Boltzmann machine (BM) models are in the purple subset because they are both generative and ANNs. In the case of proprietary closed source models, e.g. OpenAI’s ChatGPT and Apple’s Siri, we cannot verify their implementation and so academics can only make educated guesses (cf. Dingemanse 2025). Undefined terms used above: BERT (Devlin et al. 2019); AlexNet (Krizhevsky et al. 2017); A.L.I.C.E. (Wallace 2009); ELIZA (Weizenbaum 1966); Jabberwacky (Twist 2003); linear discriminant analysis (LDA); quadratic discriminant analysis (QDA). Table 1. Below some of the typical terminological disarray is untangled. Importantly, none of these terms are orthogonal nor do they exclusively pick out the types of products we may wish to critique or proscribe. Protecting the Ecosystem of Human Knowledge: Five Principles
September 6, 2025 at 8:13 AM
neurograce.bsky.social
It is funny to me that by many measures (here, which layer best predicts V1) Alexnet remains a pretty decent model of the feedforward pass of the visual system. It kinda worked right off the bat. www.biorxiv.org/content/10.1...
December 31, 2023 at 5:19 PM
cabernet.bsky.social
I am reading The AI Con (Bender & Hanna) and I assumed (since I followed along on Twitter for five years) that it would mostly read as stuff I already knew/believed, but I am finding that it does fill in some chronological details of which I was unaware, such as Hinton auctioning AlexNet to Google.
September 1, 2025 at 6:59 PM
weibac.bsky.social
also: there's considerable overlap between AI experts and the "AGI cult"

ilya sutskever was a coauthor of alexnet and chief scientist at openai, geoffrey hinton has warned about existential risk from AI, stuart russell wrote both the canonical textbook on AI and a book on the alignment problem
August 24, 2025 at 5:40 PM