X Square Robot Proposes Integrated Stack as Recipe for General-Purpose Robots
by X Square Robot· IEEE Spectrum AI
Topic
Data & Training
Datasets, synthetic data, training pipelines, and data governance for ML
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General Intuition bets $320M on video games as AI training ground
by Rebecca Bellan· TechCrunch AI
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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…
Data & TrainingTrending
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…
AI SecurityTrending
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…
Data & TrainingTrending
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…
Data & TrainingTrending
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…
Data & TrainingTrending
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…
NVIDIA, Ineffable Intelligence Build RL Infrastructure
NVIDIA and Ineffable Intelligence, a London-based AI lab founded by AlphaGo architect David Silver, are collaborating…
Adaption's AutoScientist automates model fine-tuning
Adaption has launched AutoScientist, a tool that automates the fine-tuning process to help AI models adapt to specific…
AWS Maps Foundation Model Scaling Across Training, Post-Training, and Inference
AWS and collaborators have published a technical framework for understanding how foundation model training and…
AWS Details Verifiable Rewards Method for More Reliable LLM Training
AWS published a technical guide on reinforcement learning with verifiable rewards (RLVR), a method that addresses…
OpenAI Releases MRC Networking Protocol for AI Training Clusters
OpenAI has released MRC (Multipath Reliable Connection), a new networking protocol designed to improve resilience and…
NVIDIA, OpenAI, Microsoft Open MRC Protocol for AI Network Resilience
NVIDIA, Microsoft, and OpenAI have introduced Multipath Reliable Connection (MRC), an RDMA transport protocol that…
Faithful Reasoning Emerges from Multi-Move Training, Not Direct Prediction
Researchers studied how reasoning develops in language models across supervised fine-tuning and reinforcement learning…