US Energy Department Launches Genesis Open Models Initiative
The U.S. Department of Energy opened a program to build open-weight AI models for scientific research, starting with Genesis-Science-1, developed with startup Arcee AI.
Read more →Open-Weight AIand AI Research
Every AI News story tagged with both Open-Weight AI and AI Research — the two topics side by side, updated as new articles publish.
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Thinking Machines Releases Inkling-Small, Outperforms Larger Model
Thinking Machines Lab's second open-weight model needs a quarter of its predecessor's active parameters yet edges past it on reasoning and coding benchmarks.
Read more →PrismML's Bonsai 27B Becomes First 27B AI Model to Run on a Phone
PrismML has released Bonsai 27B, a 27-billion-parameter open-weight model compressed to under 4GB, small enough to run natively on a phone while keeping most of its reasoning ability.
Read more →Thinking Machines Lab Releases Inkling, an Open-Weight AI Model
Mira Murati's startup released Inkling, a 975-billion-parameter open-weight model built for developers to fine-tune and adapt, rather than to top leaderboards.
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What Is DeepSeek? The Chinese AI Lab That Rattled Silicon Valley
DeepSeek is the Chinese AI lab whose cheaply trained, open-weight models triggered Nvidia's biggest one-day stock drop and reshaped how the industry talks about AI costs.
Read more →What Is GLM? Zhipu AI's Open-Weight Model Family, Explained
GLM is the open-weight AI model family from Chinese lab Zhipu AI (Z.ai) — free to download and self-host, and competitive with top US models at a fraction of the API cost.
Read more →China's GLM-5.2 Rivals US Frontier AI at One-Sixth the Cost
Z.ai has released GLM-5.2, a 744-billion-parameter open-weight model that matches GPT-5.5 on key benchmarks and trails Claude Opus 4.8 narrowly — trained entirely on Huawei silicon with no Nvidia hardware.
Read more →What Is an Open-Weight AI Model — and How Does It Differ from Closed AI?
Open-weight AI models release their trained parameters publicly so anyone can download, run, or fine-tune them — unlike closed models such as GPT-4 or Gemini, which are accessible only through paid APIs. Here is what that difference means in practice.
Read more →Liquid AI Ships 230M Open Model for On-Device AI Agents
Liquid AI released LFM2.5-230M, a 230-million-parameter open-weight model that runs AI agent tasks at 213 tokens per second on a phone CPU and 42 tokens per second on a Raspberry Pi — without a cloud connection.
Read more →Reflection AI Locks In $6.3B SpaceX Deal to Build Open Frontier Models
The Google DeepMind spinoff signed a three-year, $6.3 billion computing contract with SpaceX's Colossus data center, giving it the GPU scale needed to challenge closed AI giants with open-weight models.
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