inference technique

Daily cross-source mention tracking for inference: how many AI news articles, Hacker News stories, research papers and GitHub trending repos mention it. Deterministic whole-word counts of real stored items, updated daily.

13 mentions, last 7 days 17 mentions, all stored days tracked since 2026-06-27
Daily total mentions · 2026-06-27 to 2026-07-10
0242026-06-27: 1 mention2026-06-29: 1 mention2026-07-02: 2 mentions2026-07-04: 1 mention2026-07-06: 3 mentions2026-07-07: 4 mentions2026-07-08: 1 mention2026-07-10: 4 mentions06-2707-0607-10
Per-source breakdown
SourceLast 7 daysAll stored days
News articles 3 3
Hacker News stories 1 3
Research papers 9 11
GitHub trending repos 0 0
Receipts · current items mentioning inference
news AI inference startup Baseten reportedly raising $1.5B months after its last mega-round Thu, 18 Ju hn AI inference is obviously profitable 2026-07-04 · external ↗ paper Flash-BoN: Instant Drafts for Inference-Time Scaling in Diffusion Models 2026-07-10 · external ↗ news After Nvidia’s $20B not-acqui-hire, AI chip startup Groq reportedly raising $650M Fri, 29 Ma paper SeKV: Resolution-Adaptive KV Cache with Hierarchical Semantic Memory for Long-Context LLM Inference 2026-07-08 · external ↗ news After Nvidia’s $20B not-aqui-hire, AI chip startup Groq reportedly raising $650M Fri, 29 Ma paper EVA-Client: A Unified Data Collection, Inference, and Deployment Framework for Embodied Policies on Real Robots 2026-07-07 · external ↗ paper The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning 2026-07-07 · external ↗
How this is counted

Each item counts once per day if its title (plus summary or description where available) contains inference or one of its tracked aliases, matched case-insensitively on whole words. Heat on the Hype Meter board is scored as: raw = total mentions across sources in trailing 7 days; breadth = number of distinct sources with >=1 mention in those 7 days (1-4); heat = percentile rank of (raw * breadth) among all terms with raw>0, scaled 0-100, rounded. News and repo counts start the day tracking began; Hacker News and paper counts are backfilled from stored daily snapshots. No language model touches these numbers.

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