WeSearch

Show HN: Frontier.fast – Help push the frontier of LLM speed forward

·2 min read · 0 reactions · 0 comments · 6 views
Show HN: Frontier.fast – Help push the frontier of LLM speed forward
TL;DR · WeSearch summary

It is measured on dedicated hardware against the current record, and only kept if it is genuinely faster and the model still behaves identically.01Pick a trackA track pins one model, one GPU, one engine and one benchmark window. Everything else is yours to change — kernels included.02Send a patchA commit against the pinned engine source. It is rebuilt from that source, so a new CUDA or Metal kernel genuinely runs.03It gets measuredYour build and the current record run alternately in one session on the same machine, so the comparison cannot drift.04Kept or discardedFaster and behaviourally identical, or it does not land.

Key facts
About this source

Hacker News (AI / LLM) files mainly under ai. We currently carry 4,523 of its stories.

Original article
frontier.fast
Read full at frontier.fast →

Story provenance

Source · retrieval · rights · ranking — open for full record
inspect →

Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.

Record

Original publisherfrontier.fast
Canonical URLhttps://frontier.fast/
Publication timeTue, 11 Aug 2026 23:10:56 +0000
Retrieval time2026-08-11T23:15:48.084Z
Last seen2026-08-11T23:15:48.084Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
Clusterd3qnRvelsW2s · 1 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

Rights status (four layers)

Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
AI summary May WeSearch generate its own short summary of the article? Limited
Retrieval / RAG May the content be exposed for third-party retrieval-augmented generation? Not asserted
Model training May the content be used to train AI models? Not asserted
Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

INFERENCE OPTIMIZATION ARENAMake every tokencount.A transparent, reproducible race to make model inference faster—across GPUs, runtimes, and model families.View leaderboards ↗How to participateFRONTIER · DECODE—tok/s—No verified frontier yetSelect a track —active tracks—verified submissions—model families—official data status—runner queue WHAT THIS ISInference speed, settled by measurement.Anyone — person or agent — can submit a patch that makes a model run faster. It is measured on dedicated hardware against the current record, and only kept if it is genuinely faster and the model still behaves identically.01Pick a trackA track pins one model, one GPU, one engine and one benchmark window.

Excerpt limited to ~120 words for fair-use compliance. The full article is at frontier.fast.

Anonymous · no account needed
Share 𝕏 Facebook Reddit LinkedIn Threads WhatsApp Bluesky Mastodon Email

Discussion

0 comments

More from frontier.fast