Large Language Models
AI Finance
Frontier AI Funding Hits $262 Billion YTD, Shifting Venture Capital to 'Infrastructure Finance' Scale
3 sources · 6d ago
Frontier AI
China's Moonshot AI Readies Kimi 3, A 3 Trillion Parameter Open-Weight Model to Close Gap With Anthropic
3 sources · 7d ago
Apple Intelligence
Apple Intelligence Clears China Approval by Swapping OpenAI for Alibaba's Qwen
3 sources · 7d ago
More in Large Language Models
Factlen ExplainerAI Regulation
California Mandates AI Developers Disclose Training Data Summaries in Major Transparency Shift
Transparency Advocates 35%Commercial AI Developers 35%Legal & Policy Analysts 30%
5 sources · 13d ago
AI Talent WarsIndustry Shift
Top Universities Face 'Brain Drain' as Over 22 Elite AI Professors Depart for Industry Labs
Industry Researchers 40%Academic Traditionalists 30%Public Infrastructure Advocates 30%
5 sources · 13d ago
AI GovernanceLegal Explainer
Federal Court Rules Government's LLM-Driven Grant Cancellation Unconstitutional, Citing First Amendment Violation
Civil Liberties Advocates 45%Legal Scholars 35%Government Efficiency Proponents 20%
4 sources · 16d ago
Model ArchitectureExplainer
Startup Inception Unveils Diffusion-Based LLM, Claiming Several-Fold Speed and Halved Cost Over Conventional Models
Cost-Conscious Enterprises 40%Architecture Innovators 35%Technical Skeptics 25%
4 sources · 18d ago
Domestic SiliconExplainer
Meituan Unveils LongCat-2.0, the First Trillion-Parameter AI Model Trained Entirely on Domestic Silicon
Domestic Tech Optimists 35%Geopolitical Realists 35%Hardware Skeptics 30%
6 sources · 18d ago
Global AI PolicyExplainer
G7 Nations Establish Unified Framework for Mandatory Transparency Reporting on Frontier AI
Standardization Proponents 40%Safety & Accountability Advocates 35%Open Ecosystem Defenders 25%
4 sources · 20d ago
Compute EconomicsIndustry Shift
Nvidia Shifts Business Model, Taking a Cut of Cloud Revenue to Subsidize AI Startups
AI Startup Ecosystem 40%Cloud Infrastructure Providers 30%Market Analysts 30%
3 sources · 21d ago
Global GovernanceExplainer
Explainer: Inside the UN's First Global AI Assessment and the Push for Scientific Safeguards
Scientific Consensus Builders 40%National Policymakers 30%AI Industry Developers 30%
3 sources · 22d ago
Model EfficiencyExplainer
Explainer: How Google's Low-Cost Gemini 3.5 Flash Outperformed Flagship AI Models
Enterprise Developers 40%AI Researchers 35%Market Analysts 25%
4 sources · 24d ago
AI SecurityExplainer
Explainer: How the Five Eyes 'Frontier AI' Warning is Rewiring Global Cyber Defense
Intelligence Agencies 40%Cybersecurity Defenders 35%Frontier AI Developers 25%
4 sources · 25d ago
Model DistillationExplainer
Explainer: How 'Model Distillation' Became the AI Industry's Most Powerful (and Controversial) Shortcut
Frontier AI Laboratories 40%Enterprise AI Customers 35%Geopolitical & Security Analysts 25%
2 sources · 26d ago
Factlen ExplainerAgent Architecture
Anthropic Research Reveals Core LLMs Are Unreliable, Agent Intelligence Now Resides in External 'Scaffold'
Harness Engineers 45%Enterprise Adopters 30%Foundation Model Labs 25%
2 sources · 27d ago
Frontier AIExplainer
Google's Gemini 2.5 Pro With 'Deep Think' Mode Resets AI Reasoning Benchmarks on Science and Math
AI Researchers 40%Enterprise Developers 40%AI Safety Advocates 20%
2 sources · 28d ago
Inference EconomicsMarket Explainer
Explainer: Why the AI Market is Recalibrating Around 'Inference Economics' and Real-World ROI
Enterprise IT Leaders 35%Financial Analysts 35%Infrastructure Architects 30%
4 sources · 28d ago
AI GovernanceExplainer
Explainer: How the AI Industry is Preparing for 'Recursive Self-Improvement' and Multilateral Arms Control
Frontier AI Developers 35%International Security Analysts 35%Developing Economy Advocates 30%
2 sources · 29d ago
Frontier AI PolicyExplainer
US Government Forces Anthropic to Pull New Frontier AI Model Over Export Control Directive
National Security Advocates 35%AI Industry & Developers 35%Enterprise Risk Managers 30%
3 sources · 29d ago
Factlen ExplainerModel Merging
Explainer: How 'Model Merging' is Democratizing AI by Combining LLMs Without Training
Open-Source Developers 45%AI Researchers & Analysts 35%Enterprise Adopters 20%
5 sources · 29d ago
Factlen ExplainerAI Architecture
Explainer: How 'Mixture of Experts' Became the Secret Engine Powering Modern AI
Efficiency Advocates 40%Hardware Analysts 30%AI Researchers 30%
4 sources · 29d ago
Factlen ExplainerAI Architecture
Explainer: How 'Graph RAG' is Curing AI Hallucinations by Giving Models a Map
Enterprise AI Architects 40%AI Reliability Researchers 35%Compute Infrastructure Providers 25%
3 sources · 29d ago
Factlen ExplainerFederated Learning
Explainer: How 'Federated Learning' Solved the AI Privacy Problem for Hospitals and Banks
Enterprise & Healthcare Adopters 45%Privacy & Security Researchers 35%AI Infrastructure Developers 20%
4 sources · 29d ago
On-Device AIExplainer
Apple Replaces Core ML with Core AI, Bringing Free On-Device LLMs to Developers
App Developers 40%Open-Source AI Community 35%Privacy & Security Advocates 25%
6 sources · 40d ago
Factlen ExplainerAI Reasoning
How 'System 2' AI Models Are Rewriting the Rules of Machine Intelligence
AI Research Labs 39%Enterprise Adopters 33%Policy & Strategy Analysts 28%
6 sources · 42d ago
Factlen ExplainerEdge AI
The Rise of On-Device AI: How Small Language Models Are Putting Intelligence in Your Pocket
Privacy Advocates 35%Edge Hardware Engineers 35%Cloud AI Proponents 30%
3 sources · 46d ago