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Theker just raised $85M to build the factory robot that doesn’t specialize in anything1h◆Jeff Bezos’s Prometheus raises $12B to build an ‘artificial general engineer’ for the physical world1h◆SpaceX officially prices shares at $135 in the largest IPO ever6h◆Our new community investments in Virginia support local jobs and expand energy affordability.6h◆SpaceX SPV investors won’t know their true holdings until post-IPO lock-ups lift6h◆Amazon’s data centers used 2.5 billion gallons of water last year9h◆Deezer’s new tool can identify AI music from Spotify, Apple Music, and others10h◆Pool’s new app turns your screenshots into something useful11h◆DoorDash’s new AI chatbot lets you order with prompts and photos12h◆Anthropic apologizes for invisible Claude Fable guardrails15h◆Google DeepMind is worried about what happens when millions of agents start to interact15h◆Deezer launches an AI music detector for other streaming services18h◆Opendoor’s India exit is fueling a bigger conversation about AI and outsourcing22h◆MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning22h◆Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!22h◆ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation22h◆Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions22h◆The Impossibility of Eliciting Latent Knowledge22h◆Mapping Scientific Literature with Large Language Models and Topic Modeling22h◆Grounding Computer Use Agents on Human Demonstrations22h◆Theker just raised $85M to build the factory robot that doesn’t specialize in anything1h◆Jeff Bezos’s Prometheus raises $12B to build an ‘artificial general engineer’ for the physical world1h◆SpaceX officially prices shares at $135 in the largest IPO ever6h◆Our new community investments in Virginia support local jobs and expand energy affordability.6h◆SpaceX SPV investors won’t know their true holdings until post-IPO lock-ups lift6h◆Amazon’s data centers used 2.5 billion gallons of water last year9h◆Deezer’s new tool can identify AI music from Spotify, Apple Music, and others10h◆Pool’s new app turns your screenshots into something useful11h◆DoorDash’s new AI chatbot lets you order with prompts and photos12h◆Anthropic apologizes for invisible Claude Fable guardrails15h◆Google DeepMind is worried about what happens when millions of agents start to interact15h◆Deezer launches an AI music detector for other streaming services18h◆Opendoor’s India exit is fueling a bigger conversation about AI and outsourcing22h◆MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning22h◆Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!22h◆ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation22h◆Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions22h◆The Impossibility of Eliciting Latent Knowledge22h◆Mapping Scientific Literature with Large Language Models and Topic Modeling22h◆Grounding Computer Use Agents on Human Demonstrations22h◆
Tag

#foundation-models

5 articles tagged #foundation-models

arxiv6d agobullish

Value-and-Structure Alignment for Routing-Consistent Quantization of Mixture-of-Experts Models

arXiv:2606.05688v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) models scale foundation models efficiently by activating only a subset of experts for each token, but their large number of expert parameters still makes quantization essential for practical deployment. Unlike dense models, how

MI1 model#quantization#moe#foundation-modelsRead on arxiv →
arxivMay 22bullish

Billion-Scale Graph Foundation Models

arXiv:2602.04768v2 Announce Type: replace Abstract: Graph-structured data underpins many critical applications. While foundation models have transformed language and vision via large-scale pretraining and lightweight adaptation, extending this paradigm to general, real-world graphs is challenging. I

GR1 model#graph-learning#foundation-models#pretrainingRead on arxiv →
arxivApr 27

A Nationwide Japanese Medical Claims Foundation Model: Balancing Model Scaling and Task-Specific Computational Efficiency

arXiv:2604.22348v1 Announce Type: new Abstract: Clinical risk prediction using longitudinal medical data supports individualized care. Self-supervised foundation models have emerged as a promising approach for leveraging large-scale unlabeled healthcare records. In natural language processing, scali

TR1 model#healthcare#foundation-models#medical-researchRead on arxiv →
arxivApr 16bullish

Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving

arXiv:2510.00919v3 Announce Type: replace-cross Abstract: Retrieval-augmented generation (RAG) with foundation models has achieved strong performance across diverse tasks, but their capacity for expert-level reasoning-such as solving Olympiad-level physics problems-remains largely unexplored. Inspir

#retrieval-augmented-generation#foundation-models#physics-reasoningRead on arxiv →
arxivApr 10bullish

Looking Beyond the Obvious: A Survey on Abstract Concept Recognition for Video Understanding

arXiv:2508.20765v2 Announce Type: replace-cross Abstract: The automatic understanding of video content is advancing rapidly. Empowered by deeper neural networks and large datasets, machines are increasingly capable of understanding what is concretely visible in video frames, whether it be objects, a

#video-understanding#abstract-concepts#foundation-modelsRead on arxiv →
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