Just spent at least two hours deleting all of my work from Tumblr, before their AI scraping shit hits the fan, although it's probably too late. In that case, the deletion functions as a gesture of protest.
This shameless large-scale intellectual property theft by greedy tech business assholes everywhere is starting to make the internet pretty annoying. 😖
Whenever I see OpenAI's Sam Altman with his pseudo-innocent glance, he always reminds me of Carter Burke from Aliens (1986), who deceived the entire spaceship crew in favor of his corporation, with the aim of getting rich by weaponizing a newly discovered intelligent lifeform.
Gesundheitsdaten: Lauterbach will "Crawler" beim Forschungsdatenzentrum
Lauterbach will Crawler und vertrauenswürdige Umgebung im Forschungsdatenzentrum einsetzen, um Gesundheitsdaten zu sammeln und mit generativer KI auszuwerten.
I ran a quick Gradient Boosted Trees vs Neural Nets check using scikit-learn's dev branch which makes it more convenient to work with tabular datasets with mixed numerical and categorical features data (e.g. the Adult Census dataset).
Let's start with the GBRT model. It's now possible to reproduce the SOTA number of this dataset in a few lines of code 2 s (CV included) on my laptop.
The rapid AI developments still give me mixed feelings of excitement and disappointment.
Excitement because I'm a graphics and tech lover, disappointment because AI-generated stuff doesn't give me the positive feeling I get when seeing something that was actually crafted by a person.
The Machine Learning with Graphs course by Prof. 𝐉𝐮𝐫𝐞 𝐋𝐞𝐬𝐤𝐨𝐯𝐞𝐜 from Stanford University (CS224W) focuses on different methods for analyzing massive graphs and complex networks and extracting insights using machine learning models and data mining techniques. 🧵🧶👇🏼
So… Big Tech is allowed to blatantly steal the work, styles and therewith the job opportunities of thousands of artists and writers without being reprimanded, but it takes similarity to the voice of a famous actor to spark public outrage about AI. 🤔
(1/3) Meta released Code Llama 🚀 today - an LLM for code generation. It is built on top of Llama 2, and it includes the following functionality:
✅ Code generation based on user prompts
✅ Code completion
✅ Code debugging
✅ Supporting languages such as Python, C++, Java, PHP, Typescripts (JS), C#, and Bash
Playing with self-attention in latent diffusion models. This animation illustrates that the model learns to represent 3d scene properties like depth and object semantics. The red dot shows which pixel's self-attention map we're seeing.
It has not been trained on depth maps or segmentation maps, just normal natural images.
Das Münchner KI-Startup "Orbem" will bildgebende Verfahren effizienter nutzen und Eier schneller scannen können, um das Geschlecht von Küken zu ermitteln.
Yesterday, Amazon released a new open-source project, Chronos - a family of pre-trained time series forecasting models based on language model architectures.
(1/2) Moirai - Salesforce's Foundation Forecasting Model 🚀
Salesforce recently released Moirari - a new #Python 🐍 library with a foundation model for time series forecasting applications. According to the release blog - the model comes with universal forecasting capabilities and can handle multiple scenarios and different frequencies.