Expired50% confidenceFactExact time
Liquid AI first publicly introduced liquid convolution technology in LFM1.0
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
LFM2.5 Local Deployment Hands-On: An 8B Parameter Model That Outperforms GPT-o3s in Tool Calling
bilibiliAGI_Ananas6/1/2026
Related Claims
UnverifiedLFM2.5 uses a Mixture of Experts (MOE) architecture combined with Liquid convolution77% similarUnverifiedLFM2.5 has 24 layers total, with 18 using Liquid AI's proprietary LIV (Liquid) convolution and only 6 retaining traditional attention mechanisms65% similarUnverifiedNVIDIA recently published a technical blog on using toolchains such as TensorRT to eliminate pipeline friction in AI model serving.51% similarUnverifiedBilibili creator Afan used DeepSeek V4 Flash to establish a complete pipeline for AI-generated code to be written directly into InoProShop projects.51% similarUnverifiedDecimen's key innovation lies in the introduction of a fountain code encoding mechanism to address the reliability challenges of traditional QR code segmented transmission.50% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/47933API
curl https://kongchang.com/api/v1/knowledge/claims/47933MCP
get_claim(id=47933)