4Simon Willison's Weblog·
Inkling: A new open-weights model release
Simon Willison links to or comments on 'Inkling,' described as an open-weights model release. The body of the item is empty, so specific technical details, the releasing organization, and benchmark claims are not available from this source. The open-weights framing suggests relevance to the ongoing tracking of open-weights model progress.
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Related events (8)
Thinking Machines releases Inkling model, hosted on Hugging Face
Hugging Face published a welcome post for Inkling, a new model from Thinking Machines, indicating the model is being hosted or spotlighted on the Hugging Face platform. The body content is empty, so specific capability details, benchmarks, or architecture information are not available from this item. The announcement signals a new entrant in the open-weights or hosted model space from a Southeast Asian AI lab.
Thinky releases Inkling 975B-A41B multimodal open-weights model, claims best American Apache 2.0 open model
Thinky has released Inkling, a 975B-A41B multimodal open-weights model under Apache 2.0 licensing, alongside a smaller Inkling-Small at 276B-A12B. The release is described as the best American Apache 2.0 open model, marking Thinky's first full LLM release. The MoE architecture (active parameter counts suggest sparse mixture-of-experts) and permissive licensing make this a notable entry in the open-weights space.
Latest open artifacts (#20): New orgs! New types of models! With Nemotron Super, Sarvam, Cohere Transcribe, & others
Interconnects' recurring open-weights roundup covers several new model releases and organizations entering the open-artifact space. Highlighted items include Nvidia's Nemotron Super, Indian AI lab Sarvam, and Cohere's Transcribe product. The piece tracks the expanding diversity of organizations and model types contributing to the open-weights ecosystem.
Latest open artifacts (#21): Open model bonanza — Gemma 4, DeepSeek V4, Kimi K2.6, MiMo 2.5, GLM-5.1 & others
Interconnects' recurring open-weights roundup covers a dense cluster of recent releases including Gemma 4, DeepSeek V4, Kimi K2.6, MiMo 2.5, and GLM-5.1, characterizing the period as a flagship-after-flagship cadence. The piece also includes commentary on CAISI's assessment of DeepSeek V4. As a tier-2 commentary source, this is a synthesis and analysis layer rather than primary announcements.
Interconnects #22: Zyphra, Cohere, and Poolside expand open model ecosystem
Interconnects newsletter issue #22 surveys recent open model releases and ecosystem moves from Zyphra, Cohere, and Poolside, assessing the motivations behind each company's decision to release models openly. The piece frames these releases as broadening the breadth of the open-weights ecosystem beyond the dominant players. As a tier-2 commentary piece, it provides useful practitioner-level signal on which second-tier labs are investing in open releases and why.
Zvi Mowshowitz commentary: GLM-5.2 as new best open model
Zvi Mowshowitz covers the release of GLM-5.2, characterizing it as the new best open model. The post is a tier-2 commentary piece on what appears to be a significant open-weights model release. The body is truncated, so specific benchmark claims or technical details are not available from this excerpt.
The Inevitable Need for an Open Model Consortium
Nathan Lambert at Interconnects argues for the formation of an open model consortium, despite acknowledged skepticism about such organizational structures. The piece appears to make a case that coordinated open-weights AI development requires some form of collective governance or collaboration body. Published April 2026, this reflects ongoing debate about how the open-source AI ecosystem should organize itself relative to frontier closed labs.
Open Models in Perpetual Catch-Up
A commentary piece from Interconnects examining the structural dynamics between open-weight and closed frontier models, covering topics including the open-closed capability gap, distillation as a catch-up mechanism, innovation timescales, and conditions under which open models can win. The piece also addresses specialized models and gaps in the current open ecosystem. This is a high-level analytical framing of a persistent tension in the AI landscape rather than a report on a specific release or event.