Reliable Sources of AI Training Data for Machine Learning Projects

'The best solution is to murder him in his sleep': AI can learn violent tendencies from each other despite zero references to violence in training data

Scientists found that AI models can inherit a taste for murder (or owls) from other models' training data.

Jun 5, 10:00 AM

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Solana Unchained Highlights Utility-First Token Design With AI Hub, Staking Platform, and Wallet Infrastructure

The blockchain sector is shifting as investors grow weary of speculative tokens with no long term value. Solana Unchained addresses this by anchoring $UCHN directly into system execution, generating value through practical interaction rather than hype. The ecosystem combines machine learning applications, automated financial planning tools, and non custodial storage software to build a fully […] The post Solana Unchained Highlights Utility-First Token Design With AI Hub, Staking Platform, and Wallet Infrastructure appeared first on Live Bitcoin News.

Jun 5, 4:05 AM

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Scikit-LLM vs. Traditional Text Classifiers: When Should You Use an LLM?

In recent years, generative AI models like LLMs (large language models) have gradually taken over classical machine learning ones for addressing certain tasks, for instance, text classification .

Jun 2, 12:00 PM

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Sam Altman Says OpenAI Now Has a Dedicated Robotics Initiative, Hiring Engineers

Insider Brief OpenAI CEO Sam Altman said the company’s robotics effort is actively hiring engineers across hardware, machine learning, systems and operations as it works to develop robots capable of operating in the physical world. “AI should be able to help people in the physical world. In the short term, we are focused on robots […]

Jun 2, 7:46 AM

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The Physical AI Dataset Stack: Human Demonstrations, Robot Actions, VLA Data, and Long-Horizon Tasks

Most physical AI teams know they need data. Few know they need a stack of it. The capabilities a deployed humanoid, AV, or warehouse robot needs — perception, action, instruction following, multi-step workflow execution — each map to a different layer of training data, with different collection methods, annotation depth, and quality controls. The physical […]

Jun 2, 5:00 AM

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RAG Is Not Machine Learning, and the ML Toolkit Solves the Wrong Problem

Enterprise Document Intelligence [Vol.1 #3] - Why the ML toolkit (hyperparameter sweeps, train/test splits, explainability frameworks) solves the wrong problem, and what to use instead The post RAG Is Not Machine Learning, and the ML Toolkit Solves the Wrong Problem appeared first on Towards Data Science.

Jun 1, 6:49 PM

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Forthcoming machine learning and AI seminars: June 2026 edition

This post contains a list of the AI-related seminars that are scheduled to take place between 1 June and 31 July 2026. All events detailed here are free and open for anyone to attend virtually. 2 June 2026 Drones, Swarm Intelligence, and the Future of Cyber-Physical Societies Speakers: Franco Accordino and Monika Lanzenberger (European Commission) […]

Jun 1, 8:01 AM

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Human Archive Raises $8.2M in Seed Round Funding to Model Human Embodied Intelligence to Train Robots

Insider Brief Human Archive has raised $8.2 million in seed funding from Wing Venture Capital, NVP Capital, Y Combinator and a group of angel investors from “frontier AI labs” as it looks to expand its platform for collecting real-world training data for robotics and physical AI systems. “Despite decades of research, we still barely understand […]

May 30, 1:09 PM