Every model in this series so far lives on a screen. This one is starting to walk around. This is the fifth and final article in LIWARSE’s series on the AI landscape by type of use — and the one where LIWARSE’s Artificial Intelligence and Robotics pillars meet directly. The dominant architecture behind today’s robotsContinue reading “The AI Models Learning to Move: Robotics Foundation Models and the Vision-Language-Action Era”
Tag Archives: Frontier AI Models
Clinical AI in 2026: Med-Gemini, Meditron-3, and the Gap Between Regulated and Accurate
A Nature Medicine benchmark published in June 2026 found that general-purpose chatbots — not FDA-cleared clinical AI — gave the more accurate answers to real physician questions. For a movement founded by a physician, that finding is not a curiosity. It is the whole regulatory gap in one sentence. This is the fourth article inContinue reading “Clinical AI in 2026: Med-Gemini, Meditron-3, and the Gap Between Regulated and Accurate”
The AI Models Doing Science No One Talks About: AlphaFold, ESM, and the Discovery Engines
No chatbot discovered 2.2 million new crystal structures or folded a billion proteins. A different family of AI models did that — quietly, without a subscription plan or a press cycle, and most of the public has never heard their names. This is the third article in LIWARSE’s five-part series on the AI landscape byContinue reading “The AI Models Doing Science No One Talks About: AlphaFold, ESM, and the Discovery Engines”
The Open-Weight Models You Can Actually Run Yourself: DeepSeek, Mistral, and the Self-Hosting Option
Somewhere between a hospital that can’t send patient data to an outside API and a hobbyist who just wants to see how a model thinks, there is a growing category of AI that never phones home at all. This is the second article in LIWARSE’s five-part series on the AI landscape by type of use.Continue reading “The Open-Weight Models You Can Actually Run Yourself: DeepSeek, Mistral, and the Self-Hosting Option”
Beyond the Big Five: The Other General-Purpose AI Assistants the Public Already Uses
The five providers LIWARSE has already profiled are not the whole field. Millions of people reach for a general-purpose AI assistant every day through products those five profiles never mention — and scientists increasingly route their most sensitive questions through them too. This opens a new five-part LIWARSE series looking at the AI model landscapeContinue reading “Beyond the Big Five: The Other General-Purpose AI Assistants the Public Already Uses”
Alibaba Under the LIWARSE Lens: Qwen3.7-Max and the Qwen 3.6 Family
Alibaba’s Qwen line has quietly become one of the world’s most capable open-weight families — while its newest flagship, Qwen3.7-Max, closed the door behind it. LIWARSE closes this five-part series with the one non-Western provider whose split matters most for global AI governance.
xAI Under the LIWARSE Lens: Grok 4.5 and the Open Grok Weights
xAI ships a fast-moving closed flagship, Grok 4.5, alongside open weights it releases roughly a generation behind — and a coding agent it open-sourced after a privacy incident. LIWARSE reviews both, and the incident that shaped them.
Meta Under the LIWARSE Lens: Muse Spark and the Llama 4 Family
Meta built its entire AI identity on open weights, then quietly shipped its first-ever closed, proprietary flagship. LIWARSE reads the reversal — and what it means for the open Llama 4 models left behind — through the 3 Absolute Laws.
Google Under the LIWARSE Lens: Gemini 3.1 Pro and the Gemma 4 Family
Google runs the widest split of any major lab: a closed Gemini flagship for scale and multimodality, and a Gemma family so open it reaches from data centers down to a Raspberry Pi — including a medical-domain variant. LIWARSE reviews both.
OpenAI Under the LIWARSE Lens: GPT-5.6 Sol and the gpt-oss Family
OpenAI ships two very different kinds of intelligence: GPT-5.6 Sol, a closed frontier flagship, and the gpt-oss family, open weights anyone can download and run. LIWARSE examines both through the lens of the 3 Absolute Laws and the guarded-versus-unguarded standard.