Unverified50% confidenceFactExact time
The pipeline ultimately packaged 39 finished products and 856 MB of output, backed by approximately 19,000 lines of parent project code and more than 300 pages of research material, all verified on a machine with 1 core, 2 GB of RAM, and no GPU.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/12/2026
First Seen
Valid until: 1/10/2027
Sources
Related Entities
Related Claims
Unverified完整的OpenUSD库（pxr库）代码量超过百万行，编译后体积可达数百MB74% similarUnverifiedStoring 100 million 1536-dimensional OpenAI embedding vectors in float32 requires approximately 600 GB of memory, which can be compressed to approximately 150 GB after 8-bit scalar quantization.71% similarUnverifiedWhen the model loads, it first allocates a full-precision shell of approximately 1.29 GB and then reads in 643 MB of full weights, with peak memory potentially reaching approximately 3,400 MB.70% similarUnverifiedAt the 100 million token scale, the archive occupies 28.8 GB plus a 2.2 GB index on disk, while in-process memory via memory-map is only approximately 28 MB.70% similarUnverifiedThe demo constructed a Float32Array of scale 10000×10000×10 as test data, reaching GB-level size, with a single computation taking over one second, of which approximately one second was the initialization of 4 GB of memory space rather than language interop overhead.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1000883API
curl https://kongchang.com/api/v1/knowledge/claims/1000883MCP
get_claim(id=1000883)