11 related articles

Thinking Machines Lab releases Inkling, its first open-weight model. Founded by former OpenAI members, the startup enters the LLM market with an open-weight strategy enabling local deployment and private fine-tuning.
Inkling Open-Weights Model: A New Expl…
Inkling open-weights model released. Explore the key difference between open-weights and fully open-source AI, Inkling's positioning, and how to choose the right open-source LLM for production.

Reddit users share surprising ChatGPT use cases: from retrieving vague memories and identifying melodies to meal planning with leftovers—real stories of AI becoming a daily life assistant.

Unsloth and Thinking Machines release dynamic 1-bit GGUF quantization for Inkling, compressing the model from 1.9TB to 270GB (86% reduction) while retaining 74.2% accuracy and adding vision/audio multimodal support.

Deep dive into Kimi K3: the largest open-weight model at 3 trillion parameters, surpassing Opus-level models in Agentic coding with 896-expert MoE architecture, 1M token context, at Sonnet pricing.

Thinking Machines releases Inkling, an open-source multimodal LLM with near-trillion MoE parameters, 1M token context, Apache 2.0 license. Deep dive into architecture, benchmarks, and pricing.

Poolside launches Laguna open-weight model after 18 months of silence, pitting 118B parameters against Kimi K3's 2.8 trillion. Can Silicon Valley's open-source push close the gap with Chinese AI?

Poolside releases its Laguna open-weight model after 18 months of silence, challenging Moonshot's Kimi K3 with 118B vs 2.8T parameters. Can Silicon Valley close the gap with Chinese AI?

Can AI be conscious? Exploring GPT-4o voice model technology and philosophy — the Problem of Other Minds, Descartes, and what makes consciousness real.

Real-world testing of Gemini 5.2 in Claude Code vs Opus across web design, coding, creative tasks, and Storm research — analyzing the open-source model's cost advantage and ideal use cases.
Expert OpinionsAs AI coding tools take center stage, natural language skills are replacing hand-written code as the core developer competency. Here's why English is now the most important programming language.