First legal ruling on #AI, #copyright, and training data goes the way of creators: https://zorz.it/UNENC
#MattGrowcoot #AITrainingData #ArtificialIntelligence #LegalRuling #FairUse #GenerativeAI #legal #ThomsonReuters #law
#aitrainingdata
Amazon May Launch Marketplace for Publishers to Sell Content to AI Firms https://petapixel.com/2026/02/12/amazon-may-launch-marketplace-for-publishers-to-sell-content-to-ai-firms/ #artificialintellgence #aitrainingdata #Technology #publisher #amazon #News
https://winbuzzer.com/2026/02/09/cloudflare-google-search-monopoly-ai-data-advantage-xcxwbn/
Cloudflare: Google Abuses Search Monopoly for 4.8x AI Data Advantage
#AI #Google #Cloudflare #BigTech #Search #AITrainingData #AICrawlers #AITraining #Content #Publishers #SearchResults #SearchEngines
Image Annotation Methods That Power Object Detection Models
Object detection models depend on how well images are annotated. This post breaks down practical image annotation methods, including bounding boxes, label consistency, and quality checks. Learn how accurate annotations reduce noise, improve detection precision, and strengthen real-world AI performance.
Know More: https://hitechdigitalsolutions.tistory.com/entry/How-to-Annotate-Images-for-Object-Detection-Models
#ImageAnnotation #ObjectDetectionModels #AITrainingData #DataLabeling #MachineLearningWorkflow
Top data annotation companies play a key role in building accurate and scalable AI and ML systems. By delivering high-quality labeled data across images, text, video, and LiDAR, they improve model performance, reduce bias, and support faster deployment across industries.
Explore more: https://www.techwebspace.com/top-data-annotation-companies-for-ai-and-ml-projects-in-2026/
#dataannotation #AItrainingdata #MLdatalabeling #AIsolutions
What Is Object Detection? A Simple Guide to How AI Sees Objects
Ever wondered how AI recognizes people, cars, or faces in images? This easy guide breaks down object detection, how it works, and where it’s used in daily life. Learn why image annotation services are essential for training reliable AI models.
Know More: https://www.hitechdigital.com/blog/object-detection-guide
How to Get AI and ML Data Annotation Services for Your Project
Machine learning needs quality ai and ml data annotation services. Learn how to get labeled datasets via in-house teams or outsourcing.
Know More: https://peerlist.io/jagadishthakar/articles/how-to-get-annotated-data-for-machine-learning
#MachineLearningData #MLDatasets #DataLabeling #AITrainingData #MLAnnotation #DataAnnotationServices #AIandMLDataAnnotation
Real vs. Synthetic Data: Pros and Cons for Model Training
Balancing real vs synthetic data is key for effective AI training. Real data brings authentic patterns, while synthetic data supports scalability and privacy.
Combining both helps teams manage cost, quality, and ethical considerations responsibly.
Explore more: https://www.habiledata.com/blog/real-vs-synthetic-data/
#realvssyntheticdata #syntheticdata #realdata #Aitrainingdata
Wikipedia signs AI training deals with Microsoft, Meta, and Amazon https://arstechni.ca/rrQC #largelanguagemodels #WikimediaEnterprise #WikimediaFoundation #AIinfrastructure #machinelearning #AItrainingdata #generativeai #jimmywales #non-profit #Perplexity #microsoft #MistralAI #wikipedia #Biz&IT #Amazon #google #meta #AI
Polygon and polyline annotations are key image labeling techniques in AI.
Polygons define closed boundaries for area-based objects and segmentation, while polylines map open paths like lanes or cables. The right choice impacts accuracy, cost, and model performance.
Learn more: https://www.habiledata.com/blog/polygon-vs-polyline-annotation/
Top 7 Applications of Generative AI for Synthetic Datasets
Generative AI creates synthetic data when real datasets are scarce, sensitive, or expensive. It supports AI training, data augmentation, rare-scenario simulation, and safe testing. Industries like healthcare, finance, retail, and autonomous systems use it to improve accuracy, protect privacy, and speed up innovation.
Explore more: https://www.techsling.com/top-7-applications-of-generative-ai-for-synthetic-datasets/
#SyntheticData #GenerativeAI #MachineLearning #AITrainingData
(3/3)
Nikhil Kandpal et al.: The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text, June 2025
https://doi.org/10.48550/arXiv.2506.05209
Stefan Baack et al.: Towards Best Practices for Open Datasets for LLM Training, Jan 2025
https://doi.org/10.48550/arXiv.2501.08365
Please extend this reading list!
@paulk @europeana @sclaeyssens @sophiesposts
The paper written by @paulk is amongst the most recent developments, which I have not yet intellectually metabolised, as is the case with Thomas Padilla et al's Public Interest Corpus Principles and Goals
Getty Images Mostly Loses its Legal Battle Against Stability AI https://petapixel.com/2025/11/04/getty-images-mostly-loses-its-legal-battle-against-stability-ai/ #aitrainingdata #gettyimages #stabilityai #aitraining #copyright #lawsuit #News #Law
I wonder if the copyleft licenses like the GNU GPLv3 are enough to stop things like LLM training off of code... do we need a modernized GPLv4?
#OpenSource #license #foss #floss #fosslaw #libre #gnu #fsf #gpl #gplv3 #github #PublicDomain #law #AISlop #aitrainingdata #antiai #aitrainingconcerns #AITraining #copyleft #Mastodon
Discover how synthetic data is transforming AI by overcoming privacy, scarcity, and scalability challenges. Learn how GANs, VAEs, and diffusion models generate https://hackernoon.com/synthetic-data-isnt-fake-its-the-future-of-private-scalable-ai #aitrainingdata
Warner Bros. Discovery Sues Midjourney for Copyright Theft https://petapixel.com/2025/09/05/warner-bros-discovery-sues-midjourney-for-copyright-theft/ #warnerbrosdiscovery #aitrainingdata #generativeai #aicopyright #midjourney #copyright #lawsuit #News #Law
Anthropic Reaches Settlement in Landmark AI Copyright Case with US Authors https://petapixel.com/2025/08/29/anthropic-reaches-settlement-in-landmark-ai-copyright-case-with-us-authors/ #aitrainingdata #aicopyright #Technology #aitraining #anthropic #News
Client Info
Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst