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#compsci

7 posts7 participants1 post today
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jbz

💥 Compsci Grads Are Cooked

“Our students typically had five internship offers throughout their first four years of college,” Farid said about Berkeley computer science students. “They would graduate with exceedingly high salaries, multiple offers. They had the run of the place.”

“That is not happening today,” he said. “They’re happy to get one job offer.”

futurism.com/artificial-intell

Futurism · Compsci Grads Are CookedComputer science graduates from top programs are having trouble finding jobs because of AI and multiple lay offs in the tech world.
#compsci#unemployment#ai
Public
jbz

🧬 Is Life a Form of Computation?

｢ Biological computing is “massively parallel,” decentralized, and noisy. Your cells have somewhere in the neighborhood of 300 quintillion ribosomes, all working at the same time. Each of these exquisitely complex floating protein factories is, in effect, a tiny computer — albeit a stochastic one, meaning not entirely predictable ｣

thereader.mitpress.mit.edu/is-

The MIT Press Reader · Is Life a Form of Computation?Alan Turing and John von Neumann saw it early: the logic of life and the logic of code may be one and the same.
#compsci#biology#intelligence
Public
Vladimir Savić

1 bit is all we need: binary normalized neural networks arxiv.org/abs/2509.07025v1 #compsci #machinelearing

arXiv logo
arXiv.org1 bit is all we need: binary normalized neural networksThe increasing size of large neural network models, specifically language models and foundational image models, poses deployment challenges, prompting efforts to reduce memory requirements and enhance computational efficiency. These efforts are critical to ensure practical deployment and effective utilization of these models across various applications. In this work, a novel type of neural network layers and models is developed that uses only single-bit parameters. In this novel type of models all parameters of all layers, including kernel weights and biases, only have values equal to zero or one. This novel type of models uses layers named as binary normalized layer. These binary normalized layers can be of any type, such as fully connected, convolutional, attention, etc., and they consist of slight variations of the corresponding conventional layers. To show the effectiveness of the binary normalized layers, two different models are configured to solve a multiclass image classification problem and a language decoder to predict the next token of a sequence. The model to solve the image classification has convolutional and fully connected layers, and the language model is composed of transformer blocks with multi-head attention. The results show that models with binary normalized layers present almost the same results obtained by equivalent models with real 32-bit parameters. The binary normalized layers allow to develop models that use 32 times less memory than current models and have equivalent performance. Besides, the binary normalized layers can be easily implemented on current computers using 1-bit arrays, and do not require the development of dedicated electronic hardware. This novel type of layers opens a new era for large neural network models with reduced memory requirements that can be deployed using simple and cheap hardware, such as mobile devices or only cpus.
Continued thread
Public
Shane Celis

2/ SALLY STRUTHERS: Got a list of positive floating points you need sorted? Don't let that O(n log n) runtime get you down. Did you know you can lexicographically sort floats by their binary representation? Now you can do it O(n) with radix sort. Won't that impress your boss? [Gulps.]

Memory layout of single precision 32-bit IEEE 754 floating-point number from left to right: 1-bit sign, 8-bit exponent, and 23-bit mantissa.
#compsci
Public *
Eric McCorkle

computerworld.com/article/4059

Some of us knew about- and have been talking about the relevant impossibility results here all along.

What's relevant is what's between the lines here. This is frontrunning. They know the collapse is coming, and they want to pad the landing. Otherwise, they'd still be saying the god-machine is coming any day now.

Computerworld · OpenAI admits AI hallucinations are mathematically inevitable, not just engineering flawsBy Gyana Swain
#ai#compsci#tech
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