Unverified50% confidenceReleaseExact time
A project called "Show HN: How Stale Is Your AI?" systematically compiles the release dates and training data cutoff dates of 20 mainstream AI models.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/16/2026
First Seen
Valid until: 12/15/2026
Sources
Related Entities
Related Claims
UnverifiedAI training is the process of building or updating model parameters from scratch, which is highly parallelized and requires massive one-time investment; AI inference is the deployment of models in production environments to handle real requests, running 24/7, latency-sensitive, with demand scaling linearly with user growth.78% similarUnverifiedAI-assisted development has enabled some teams to shorten software iteration cycles from weekly/monthly updates to daily updates, causing hiring for testing positions to commonly assess candidates' familiarity with AI tools.75% similarUnverifiedA complete AI model version encompasses at minimum the weight files, a versioned snapshot of the training data, the training configuration and runtime environment, and evaluation results along with benchmark datasets.74% similarUnverifiedAI模型的训练数据存在知识截止点（knowledge cutoff），需通过持续训练或RAG技术更新新知识73% similarUnverifiedThe total energy consumption of the AI inference phase has gradually surpassed that of the training phase, because inference runs continuously 24×7.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/926412API
curl https://kongchang.com/api/v1/knowledge/claims/926412MCP
get_claim(id=926412)