RT by @_akhaliq: We are in an insane run of open-weight drops. Every modality, open source is…
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Merged summary
TL;DR - A roundup argues that open-weight AI is accelerating across language, video, voice, and safety. The releases combine stronger agentic performance with permissive licenses, local deployment, long contexts, and lower memory requirements.
- DeepSeek-V4-Flash-0731 reports major gains on Terminal-Bench 2.1 and DeepSWE, approaching Opus-4.8 on Agents’ Last Exam.
- Several MoE and low-bit models target efficient local inference, including Liquid AI’s 2.69B model and Deepgrove’s ternary-weight reasoner.
- New multimodal releases span video generation, full-duplex speech with live tool calling, and policy-conditioned safety moderation.
- Many highlighted models use MIT or Apache 2.0 licenses, supporting broader deployment and experimentation.
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RT by @_akhaliq: We are in an insane run of open-weight drops. Every modality, open source is…
Public signals
N/A
TL;DR - A roundup argues that open-weight AI is accelerating across language, video, voice, and safety. The releases combine stronger agentic performance with permissive licenses, local deployment, long contexts, and lower memory requirements.
- DeepSeek-V4-Flash-0731 reports major gains on Terminal-Bench 2.1 and DeepSWE, approaching Opus-4.8 on Agents’ Last Exam.
- Several MoE and low-bit models target efficient local inference, including Liquid AI’s 2.69B model and Deepgrove’s ternary-weight reasoner.
- New multimodal releases span video generation, full-duplex speech with live tool calling, and policy-conditioned safety moderation.
- Many highlighted models use MIT or Apache 2.0 licenses, supporting broader deployment and experimentation.