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Data & Training
Datasets, synthetic data, training pipelines, and data governance for ML
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Anthropic's $1.5B settlement approved, but copyright question remains open
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Data Infrastructure, Not AI Models, Limits Agent Success
A MIT Technology Review Insights report based on a survey of 300 data and technology executives finds that legacy data…
AI Drug Discovery Hits a Data Wall
AI is accelerating drug discovery by enabling predictive design of candidates and hit identification at scale, but the…
Brain Waves Join Video as Physical AI Training Data
Frontier physical AI models are moving beyond video training data to incorporate multiple camera angles, dense…

Mercor's $614M Revenue Surge Hinges on AI Lab Spending
Mercor, a three-year-old data startup that trains AI models through contractor networks, generated $614 million in…
NVIDIA, Hugging Face Enable Distributed Fine-Tuning for Diffusion Models
NVIDIA and Hugging Face have integrated NeMo Automodel, an open-source training library, with the Diffusers ecosystem…
Robotics Startup Bets on Video Game Data for AI Foundation Models
General Intuition is developing foundation models for robotics by training on millions of hours of video game data…
Four AI Architecture Foundations IT Leaders Need to Scale
MIT Technology Review Insights outlines four foundational elements of AI architecture that IT leaders should prioritize…
NVIDIA Offers Reusable Workflows for Vision AI Deployment
NVIDIA has published a guide on using synthetic data generation and fine-tuning to improve vision AI agent accuracy in…

Meta Restricts Claude and Codex Use Over Training Data Fears
Meta has implemented strict internal guidelines limiting how its engineers can use Anthropic's Claude and OpenAI's…

Google Uses AI Features as Leverage in Publisher Negotiations
Google is leveraging AI features as a negotiating tool with news publishers, offering promotion in AI-powered article…
Real-Time Web Data: The Missing Layer in AI Infrastructure
A new infrastructure layer is emerging to address a critical bottleneck in AI deployment: enterprises need real-time…
Atlantic Maps Four Music Datasets Powering AI Models
The Atlantic's Alex Reisner has created a searchable public database of four music datasets used to train AI models,…
General Intuition Seeks $300M for Embodied AI at $2B Valuation
General Intuition is in talks to raise $300 million at a valuation around $2 billion, according to sources. The startup…

Blackwell Sweeps MLPerf Training 6.0 Across All Benchmarks
NVIDIA's Blackwell platform swept MLPerf Training 6.0 benchmarks, achieving the fastest training times across all seven…
Meta embeds AI search into Facebook using public posts
Meta is launching AI Mode, a new search feature on Facebook that generates AI-powered results by pulling from…
Warner Music acquires AI attribution startup Sureel AI
Warner Music Group has acquired Sureel AI, an attribution startup focused on tracking how artists' work is used in…
NVIDIA and LG Build AI Factory for Robotics and Manufacturing
NVIDIA and LG Group are establishing an AI factory to accelerate LG's robotics, autonomous driving, and data center…
UK Forces Google to Let Publishers Opt Out of AI Search
The UK Competition and Markets Authority has ruled that Google must allow publishers to opt out of AI Search features,…

Query History Becomes AI Agent Intelligence Layer
DataHub released Context Intelligence, a semantic layer that mines SQL query history to help AI agents route queries…
Startup Taps India's Gig Workers to Train Robots
Human Archive, a startup founded by Berkeley and Stanford researchers, is recruiting gig workers in India to collect…

Physical AI's Real Bottleneck: How Humans Talk to Robots
Wetour Robotics argues that the bottleneck in physical AI is not robot capability but human-machine interfaces. The…

Big Tech Taps Employee Data to Win AI Coding Race
Microsoft is leveraging its roughly 100,000 internal software engineers as a source of proprietary training data to…

Empromptu AI launches Alchemy Models for continuous fine-tuning from production workflows
Empromptu AI launched Alchemy Models, a platform that automatically captures training data from enterprise AI…

Wirestock raises $23M to supply multimodal data to AI labs
Wirestock, which pivoted to data provision in 2023, has raised $23 million to expand its supply of multimodal datasets…

AWS, Databricks Show How to Fine-Tune LLMs Without Bypassing Data Governance
AWS and Databricks have published a reference architecture for fine-tuning large language models while maintaining data…

