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Earlier sources: Compute
This hardware thread follows compute through original research, public projects, and source reports. Read the evidence below to see which developments are represented in SYMTRI’s archive.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗26 classified signals in the fourteen-day window. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- Hacker News · Posted on Hacker News · First archived
Open-Compute: Celld Alternative ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
High-quality data is the best compute multiplier ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Ask HN: Are we trading model capacity for compute? ↗
Do you think we're trading off model size, and model capacity, for compute? Take looped transformers, which GPT-6 Astra is rumored to be based on. They increase compute while keeping the model's capacity almost fixed. So my question is, if we had an infinitely large model (with also infinite capacity) and of course infinite compute, would we still need CoT or looped transformers? Could we have a model where the reasoning happens directly within a…
- arXiv · Published · First archived
RECAST: Learning to Compute the Right Context through Adaptive Evidence Routing ↗
Large language models are increasingly applied to tasks grounded in long, heterogeneous information sources. Conventional Retrieval-Augmented Generation (RAG) relies on fixed similarity-based retrieval, while agentic variants adapt queries and tool use but remain largely retrieval-centric. However, in many tasks, the evidence required for a solution is not explicitly present in any single source item. Instead, it must be derived through filtering, aggregation, or computation across multiple source items. In this work, we introduce RECAST (Routing Evidence through Computation, Access, and Synth…
- Hacker News · Posted on Hacker News · First archived
Show HN: Zephirum – A compiler that proves you don't need to compute ``` ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Durable Actors – OSS Durable Objects with configurable compute ↗
Hi HN, we're Thomas and Olivier from Terse ( https://www.useterse.ai/ ) We've built Durable Actors, an open-source alternative to Cloudflare's Durable Objects. A Durable Object/Actor is a tiny server that handles one request at a time and has its own SQLite database. There's exactly one of each in the world and it is addressed by name. This is the perfect primitive for deploying multiplayer agents. Each agent can have its own Durable Actor, and e…
- Hacker News · Posted on Hacker News · First archived
Big Blob of Compute: The Essay That Started the AI Race ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Apex Compute Developing Open-Source Mesa Vulkan Driver for Their Hardware ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
You're Leaving Compute on the Table ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
j23h67/compute-multipliers-checkpoints — model update ↗
# Pretraining progress is mostly coming from data: checkpoints, data and code The trained models, evaluation data and code behind [*Pretraining progress is mostly coming from data*](https://www.dwarkesh.com/p/pretraining-progress-is-mostly-data) (Dwarkesh Patel and Jerry Han, 2026). How much of the progress in pretraining from 2019 to 2025 has come from data versus model improvements? For each year we take a year-representative open model recipe (GPT-2 to OLMo-2) and a year-representative public data corpus (OpenWebText to Ultra FineWeb), and train combinations of them from scratch at compute
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about Compute
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.