LLMs & Models Articles
Browse 579 articles about LLMs & Models.
What Is Google TurboQuant? The KV Cache Compression That Crashed Memory Chip Stocks
Google's TurboQuant algorithm compresses AI memory to 3 bits with zero accuracy loss, delivering 8x speed and 6x memory reduction on H100 GPUs.
Why GPT-5.4, Claude 4.6, and Gemini 3.1 All Scored 0% on ARC AGI 3
Frontier models scored 0% on ARC AGI 3 while humans score 100%. Here's what the gap reveals about reasoning vs. memorization in today's largest AI models.
What Is Chroma Context-1? The Specialized RAG Model That Beats Frontier Models
Chroma Context-1 is a 20B parameter model trained specifically for retrieval tasks. It beats GPT-5.4 on search benchmarks at a fraction of the cost.
Claude Mythos: How Leaks and Early Benchmarks Surfaced a New Tier
Claude Mythos surfaced through API leaks and benchmark drops, not a press release. Here's how the model was discovered and what early scores actually show.
Mistral's Open-Weight TTS Model Explained: A Voice Cloning Primer
Mistral released an open-weight TTS model with 3-second voice cloning. Here's how the model works, what open-weight means, and how it compares to ElevenLabs.
ARC AGI 3 Adds Interactive Games — All Frontier Models Failed
ARC AGI 3 introduced an interactive video game benchmark that broke every frontier model. Here's how the format works and why fluid intelligence is still hard.
Claude Mythos vs Claude Opus 4.6: How Big Is the Capability Jump?
Claude Mythos promises dramatically higher scores in coding, reasoning, and cybersecurity than Opus 4.6. Here's what the leaked blog post actually reveals.
What Is Claude Mythos? Anthropic's Leaked Next-Gen AI Model Explained
Claude Mythos is Anthropic's most powerful AI model yet, leaked via a CMS error. Learn what it can do, its cybersecurity risks, and when it might release.
What Is Gemini 3.1 Flash Live? Google's Multimodal Voice AI for Screen Sharing
Gemini 3.1 Flash Live lets you have real-time voice conversations with AI while sharing your screen or webcam. Here's what it can do and why it's underrated.
What Is the OpenAI 'Spud' Model? Everything We Know About the Next Frontier Model
OpenAI's Spud model has finished training and is expected to accelerate the economy. Here's what we know about its capabilities, release timeline, and pricing.
Run Mistral's TTS Locally: Cross-Lingual Voice Cloning
Mistral's open-weight TTS runs on your own hardware and preserves a speaker's accent across languages. Here's what local deployment looks like in practice.
What Is ARC AGI 3? The Interactive AI Benchmark Humans Solve at 100%
ARC AGI 3 is the first interactive AGI benchmark where AI scores under 1% while humans hit 100%. Here's how it works and what it reveals about generalization.
Claude Mythos and the Safety Review That Could Delay Its Release
Claude Mythos reportedly tripped Anthropic's safety reviews on cyberattack capability. Here's what that means for release timing and enterprise AI buyers.
Why LLM Frameworks Like LangChain and LlamaIndex Are Being Replaced by Agent SDKs
LlamaIndex's founder admits the framework era is ending. Learn why agent SDKs, MCPs, and coding agents are replacing traditional RAG frameworks in 2026.
What Is the Auto Research Loop? How AI Models Now Train Themselves
From MiniMax M2.7 to OpenAI Codex, AI models are now helping build the next version of themselves. Here's how the auto research loop works and why it matters.
What Is the Cursor Composer 2 Controversy? How Open-Source Attribution Works in AI
Cursor built Composer 2 on Kimi K2.5 without disclosure. Learn what happened, why it matters for open-source AI, and what the license actually requires.
What Is Luma Uni1? The Autoregressive Thinking Image Model Explained
Uni1 is Luma's new thinking image model that reasons about composition before generating. Learn how it works and how it pairs with Luma's agent canvas.
Claude Code Effort Levels Explained: When to Use Low, Medium, High, and Max
Claude Code's effort level setting controls how much reasoning the model applies. Learn when to use each level to balance quality and token cost.
How to Optimize AI Agent Token Costs with Multi-Model Routing
Using the right model for each task—frontier for planning, smaller for sub-agents—can cut your AI token costs dramatically. Here's a practical routing strategy.
What Is Cursor Composer 2? The AI Coding Model Built for Cost-Efficient Sub-Agent Work
Cursor Composer 2 is a coding-optimized model that nearly matches GPT-5.4 performance at a fraction of the cost—making it ideal for sub-agent workflows.