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1 | hackernews | https://news.ycombinator.com/item?id=48982796 | Ask HN: Is there a Moore's Law equivalent for compute/energy use? | Ask HN: Is there a Moore's Law equivalent for compute/energy use?. Rather than transistor density per chip we are now scaling datacenters by energy use per N compute cycles.<p>Is there a relevant statement similar to the form of Moore’s Law? | 2026-08-23T07:07:43.694972 |
2 | hackernews | https://github.com/JessyMorissette/CrossingBench | Show HN: CrossingBench – Modeling when data movement dominates compute energy | Show HN: CrossingBench – Modeling when data movement dominates compute energy. I built a small reproducible microbenchmark exploring when system energy becomes dominated by boundary crossings rather than intra-domain compute.<p>The model decomposes total energy into:
C = C_intra + Σ V_b · c_b<p>Includes:<p><i>CLI sweep... | 2026-08-23T07:07:43.695160 |
3 | hackernews | https://news.ycombinator.com/item?id=45582973 | Ask HN: Where can I track training cost trend for AI models? | Ask HN: Where can I track training cost trend for AI models?. I'm curious how the cost of training AI models (compute, energy, data, etc) has changed over time.<p>Are there any public resources or datasets tracking training costs for open-weight models (I'm guessing this data is hard to get for closed models,... | 2026-08-23T07:07:43.695182 |
4 | hackernews | https://databridge.gitbook.io/databridge-docs/api-reference/endpoints/cache | Show HN: I Made an API for Persistent KV-Caching (Cache Augmented Generation) | Show HN: I Made an API for Persistent KV-Caching (Cache Augmented Generation). Hi HN!<p>I wanted to demonstrate an easy to use API for Cache Augment Generation. For any open source LLM available on Llama cpp, we can store the KV-cache and model state after it has processed a large corpus of documents, and then load tha... | 2026-08-23T07:07:43.695193 |
5 | hackernews | https://news.ycombinator.com/item?id=34549724 | Classical ML Still Relevant? | Classical ML Still Relevant?. ** Pls bear with me if its been already discussed or not related **<p>With all the proliferation of DL and LLM along with near unlimited compute, energy and bandwidth do we still need classical ML approach for solving the problems? Is DL / NN going to take over everything? | 2026-08-23T07:07:43.695203 |
AI Compute & Energy 2026
AI compute costs, energy consumption. Updated daily via automated collection pipeline.
Part of the Legion Data Factory — historical AI ecosystem datasets 2026.
Methodology
Automated collection from public sources (HackerNews, RSS feeds, APIs). Updated daily via cron job. Raw data, minimal processing.
License
CC BY 4.0
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