TimeNet: Open-source data infrastructure for Temporal Foundation Models
Hi HN, Current frontier LLMs show incredible results across text, video, and audio, but don't do as well with real-world scenarios like production lines, trading, drilling operations, or demand supply forecasting. They are not capable of comprehending this data, especially given a limited context. Models exist that are able to understand temporal information natively—Temporal Foundation Models (TFMs). However, there is a data problem: unlike all the public information that frontier models train
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Recorded metrics
points · 34 votes
2026-11-11 20:00:27.360Z
cumulative since publication
Research analysis
Project record
Repository: OpenTSLM/TimeNet. Source account: Hi HN, Current frontier LLMs show incredible results across text, video, and audio, but don't do as well with real-world scenarios like production lines, trading, drilling operations, or demand supply forecasting. They are not capable of comprehending this data, especially given a limited context. Models exist that are able to understand temporal information natively—Temporal Foundation Models (TFMs). However, there is a data problem: unlike all the public information that frontier models train
Observed adoption & comparisons
Source votes: 34 votes (Nov 11, 2026 UTC; cumulative since publication) Recent records to compare: “Show HN: Open HashLMG – Local Motion Graphics by models on your device” (Show HN, Nov 11, 2026); “Show HN: FilmCraft – Free open-source video editor in Rust, like Premiere” (Show HN, Nov 11, 2026). Shared themes are navigation hints; they have not been verified as the same need or independent corroboration.
Adoption decision
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Unverified requirements
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Next test
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