#Tag · bonfire.cafe

Hacker News

Animated AI

https://animatedai.github.io/

#HackerNews #Animated #AI #AItechnology #MachineLearning #Innovation #TechTrends

Greg Lloyd and 1 other boosted

Metin Seven 🎨

@metin@graphics.social · 2 days ago

A remarkably prophetic 1923 cartoon depicting how a creative process would be automated in 2023.

#cartoon #tech #technology #BigTech #AI #ArtificialIntelligence #LLM #LLMs #MachineLearning #GenAI #generativeAI #AISlop #Meta #Google #gemini #OpenAI #ChatGPT #anthropic #claude

A 1923 newspaper cartoon, showing a cartoonist making use of an electrically driven machine that draws his cartoons for him.

Metin Seven 🎨

@metin@graphics.social · 2 days ago

A remarkably prophetic 1923 cartoon depicting how a creative process would be automated in 2023.

#cartoon #tech #technology #BigTech #AI #ArtificialIntelligence #LLM #LLMs #MachineLearning #GenAI #generativeAI #AISlop #Meta #Google #gemini #OpenAI #ChatGPT #anthropic #claude

Hacker News

@h4ckernews@mastodon.social · 5 days ago

Gaussian Splatting 3 Ways

https://github.com/NullandKale/NullSplats

#HackerNews #GaussianSplatting #SplattingTechniques #MachineLearning #GitHub #Innovations

GitHub

GitHub - NullandKale/NullSplats

Contribute to NullandKale/NullSplats development by creating an account on GitHub.

Hacker News

@h4ckernews@mastodon.social · 5 days ago

SQLite AI

https://www.sqlite.ai

#HackerNews #SQLite #AI #technology #innovation #database #machinelearning

Hacker News

@h4ckernews@mastodon.social · 5 days ago

TurboDiffusion: 100–200× Acceleration for Video Diffusion Models

https://github.com/thu-ml/TurboDiffusion

#HackerNews #TurboDiffusion #VideoDiffusion #Acceleration #AIResearch #MachineLearning

GitHub

GitHub - thu-ml/TurboDiffusion: TurboDiffusion: 100–200× Acceleration for Video Diffusion Models

TurboDiffusion: 100–200× Acceleration for Video Diffusion Models - thu-ml/TurboDiffusion

Billy Smith and 1 other boosted

Metin Seven 🎨

@metin@graphics.social · last week

"I announced my divorce on Instagram and then AI impersonated me."

https://eiratansey.com/2025/12/20/i-announced-my-divorce-on-instagram-and-then-ai-impersonated-me/

#tech #technology #BigTech #AI #ArtificialIntelligence #LLM #LLMs #MachineLearning #GenAI #generativeAI #AISlop #Meta #Google #gemini #OpenAI #ChatGPT #anthropic #claude

https://eiratansey.com

I announced my divorce on Instagram and then AI impersonated me

informapirata ⁂ :privacypride: boosted

Tleilax

@tleilax@snowfan.it · last week

Questo libro fornisce un'introduzione completa ai concetti fondamentali di machine learning (ML) e deep learning (DL). Colma il divario tra matematica teorica e applicazione pratica, concentrandosi su Python come linguaggio di programmazione principale per l'implementazione di algoritmi e strutture dati chiave.

https://arxiv.org/abs/2410.19849

@informatica

#python #datastructures #deeplearning #machinelearning

arXiv.org

Deep Learning and Machine Learning -- Python Data Structures and Mathematics Fundamental: From Theory to Practice

This book provides a comprehensive introduction to the foundational concepts of machine learning (ML) and deep learning (DL). It bridges the gap between theoretical mathematics and practical application, focusing on Python as the primary programming language for implementing key algorithms and data structures. The book covers a wide range of topics, including basic and advanced Python programming, fundamental mathematical operations, matrix operations, linear algebra, and optimization techniques crucial for training ML and DL models. Advanced subjects like neural networks, optimization algorithms, and frequency domain methods are also explored, along with real-world applications of large language models (LLMs) and artificial intelligence (AI) in big data management. Designed for both beginners and advanced learners, the book emphasizes the critical role of mathematical principles in developing scalable AI solutions. Practical examples and Python code are provided throughout, ensuring readers gain hands-on experience in applying theoretical knowledge to solve complex problems in ML, DL, and big data analytics.

Hacker News

@h4ckernews@mastodon.social · last week

I rebuilt FlashAttention in Triton to understand the performance archaeology

https://aminediro.com/posts/flash_attn/

#HackerNews #FlashAttention #Triton #Performance #Archaeology #Rebuild #TechInnovation #MachineLearning

Blog

Reimplementing FlashAttention for performance and giggles | AmineDiro

Tleilax

@tleilax@snowfan.it · last week

https://arxiv.org/abs/2410.19849

@informatica

#python #datastructures #deeplearning #machinelearning

arXiv.org

Deep Learning and Machine Learning -- Python Data Structures and Mathematics Fundamental: From Theory to Practice

Hacker News

@h4ckernews@mastodon.social · last week

The Illustrated Transformer

https://jalammar.github.io/illustrated-transformer/

#HackerNews #IllustratedTransformer #NLP #AI #MachineLearning #Visualization

The Illustrated Transformer

Discussions: Hacker News (65 points, 4 comments), Reddit r/MachineLearning (29 points, 3 comments) Translations: Arabic, Chinese (Simplified) 1, Chinese (Simplified) 2, French 1, French 2, Italian, Japanese, Korean, Persian, Russian, Spanish 1, Spanish 2, Vietnamese Watch: MIT’s Deep Learning State of the Art lecture referencing this post Featured in courses at Stanford, Harvard, MIT, Princeton, CMU and others Update: This post has now become a book! Check out LLM-book.com which contains (Chapter 3) an updated and expanded version of this post speaking about the latest Transformer models and how they've evolved in the seven years since the original Transformer (like Multi-Query Attention and RoPE Positional embeddings). In the previous post, we looked at Attention – a ubiquitous method in modern deep learning models. Attention is a concept that helped improve the performance of neural machine translation applications. In this post, we will look at The Transformer – a model that uses attention to boost the speed with which these models can be trained. The Transformer outperforms the Google Neural Machine Translation model in specific tasks. The biggest benefit, however, comes from how The Transformer lends itself to parallelization. It is in fact Google Cloud’s recommendation to use The Transformer as a reference model to use their Cloud TPU offering. So let’s try to break the model apart and look at how it functions. The Transformer was proposed in the paper Attention is All You Need. A TensorFlow implementation of it is available as a part of the Tensor2Tensor package. Harvard’s NLP group created a guide annotating the paper with PyTorch implementation. In this post, we will attempt to oversimplify things a bit and introduce the concepts one by one to hopefully make it easier to understand to people without in-depth knowledge of the subject matter. 2025 Update: We’ve built a free short course that brings the contents of this post up-to-date with animations: A High-Level Look Let’s begin by looking at the model as a single black box. In a machine translation application, it would take a sentence in one language, and output its translation in another.

Hacker News

@h4ckernews@mastodon.social · last week

Scaling LLMs to Larger Codebases

https://blog.kierangill.xyz/oversight-and-guidance

#HackerNews #Scaling #LLMs #Codebases #AI #Development #MachineLearning #TechTrends

Scaling LLMs to larger codebases - Kieran Gill

Where to focus investments to best leverage AI tooling

Vicki Boykis

@vicki@jawns.club · last week

My 2025 in review https://vickiboykis.com/2025/12/22/2025-in-review/

#machinelearning

2025 in review

On building a new system

Hacker News

@h4ckernews@mastodon.social · last week

Origin of Hallucination in LLMs, The physical source of hallucinations has found

https://arxiv.org/abs/2512.01797

#HackerNews #OriginOfHallucination #LLMs #AIResearch #MachineLearning #NeuralNetworks #arxiv

arXiv.org

H-Neurons: On the Existence, Impact, and Origin of Hallucination-Associated Neurons in LLMs

Large language models (LLMs) frequently generate hallucinations -- plausible but factually incorrect outputs -- undermining their reliability. While prior work has examined hallucinations from macroscopic perspectives such as training data and objectives, the underlying neuron-level mechanisms remain largely unexplored. In this paper, we conduct a systematic investigation into hallucination-associated neurons (H-Neurons) in LLMs from three perspectives: identification, behavioral impact, and origins. Regarding their identification, we demonstrate that a remarkably sparse subset of neurons (less than $0.1\%$ of total neurons) can reliably predict hallucination occurrences, with strong generalization across diverse scenarios. In terms of behavioral impact, controlled interventions reveal that these neurons are causally linked to over-compliance behaviors. Concerning their origins, we trace these neurons back to the pre-trained base models and find that these neurons remain predictive for hallucination detection, indicating they emerge during pre-training. Our findings bridge macroscopic behavioral patterns with microscopic neural mechanisms, offering insights for developing more reliable LLMs.

Metin Seven 🎨

@metin@graphics.social · last week

"I announced my divorce on Instagram and then AI impersonated me."

https://eiratansey.com/2025/12/20/i-announced-my-divorce-on-instagram-and-then-ai-impersonated-me/

#tech #technology #BigTech #AI #ArtificialIntelligence #LLM #LLMs #MachineLearning #GenAI #generativeAI #AISlop #Meta #Google #gemini #OpenAI #ChatGPT #anthropic #claude

https://eiratansey.com

I announced my divorce on Instagram and then AI impersonated me

Hacker News

@h4ckernews@mastodon.social · last week

Autograd.c – a tiny ML framework built from scratch

https://github.com/sueszli/autograd.c

#HackerNews #Autogradc #MLframework #MachineLearning #OpenSource #GitHub

GitHub

GitHub - sueszli/autograd.c: tiny torch, but close to metal

tiny torch, but close to metal. Contribute to sueszli/autograd.c development by creating an account on GitHub.

Hacker News

@h4ckernews@mastodon.social · 2 weeks ago

GPT-5.2-Codex

https://openai.com/index/introducing-gpt-5-2-codex/

#HackerNews #GPT5.2Codex #OpenAI #Codex #AItechnology #MachineLearning #Innovation

Introducing GPT-5.2-Codex

The most advanced agentic coding model for professional software engineering and defensive cybersecurity.

Michał "rysiek" Woźniak · 🇺🇦 boosted

Marcin Jakubowski

@jakmarcin@mstdn.science · 2 weeks ago

This is a nice application of #machinelearning in #magneticfusion: deep-learning event recognition for IR images at #Wendelstein7X by Polish colleagues from Politechnika Łódzka, with my small help. Our IR cameras produce more data than physicists can inspect frame by frame, so an AI now flags hot spots and tracks strike lines fast enough to protect the machine during shots.
#artificialintelligence #science
https://euro-fusion.org/eurofusion-news/ai-and-fusion-in-the-control-room/

GIF