Which AI stories has SIREN scored in this window? · What has SIREN scored under Capability? · What has SIREN scored as Papers? ·
Embeddings Are Overpriced? A Frozen 16 MB Vocabulary for Small and Ternary Language Models
In a small language model the vocabulary is the single largest part. In Gemma 3 270M the embedding table holds 168M of 268M parameters, and because quantisation methods leave the embedding in 16-bit…
Source: What has SIREN scored via Hugging Face Daily Papers? · original · first seen by this index at
Names in this headline: What has SIREN scored about Gemma?. A name is a match against the published entity list, not a claim the subject wrote the story.
Publisher: What has SIREN scored from huggingface.co?. A publisher link means the original URL host cleared the outlet gate (≥5 scored stories in this window).
Topics: What has SIREN scored about Embeddings?, What has SIREN scored about Small language models?, What has SIREN scored about Small models?. A topic link means the title or summary matched a published needle with enough other stories to clear the tag gate.
What is the score on this story?
| Component | Points |
|---|---|
| source weight | 20.0 |
| recency | 17.1 |
| engagement | 5.8 |
| entities | 3.0 |
| corroboration | 0.0 |
| severity | 0.0 |
| coverage | 0.0 |
| Total | 45.9 |
Every term is published and every input is public, so this number can be recomputed. It ranks the item inside the 800-item window; it is not a judgement about importance in the world.
How many sources carried this story?Corroboration
Carried by one source. That is the normal case — most items are reported once — and it is stated rather than left blank so a single-source item cannot be mistaken for a corroborated one.
Which related stories are in this window?
- modelcontextprotocol/servers v2.0.0 38.3
- modelcontextprotocol/servers v1.0.0 37.4
- Has GPT-6-Astra Achieved Embodied Intelligence? 56.8
- Pack Light, CarryOn: Building Object-Oriented Context for Long-Horizon Agents 52.8
- HexaShell: A Thin Harness for Exploring the Limits of VLM Agents as Robot Coding Agents 52.6
What questions do people actually ask?
What is the score on this story?
Scored 45.9 of 100. Every term is published and every input is public, so this number can be recomputed. It ranks the item inside the 800-item window — not a judgement about importance in the world and not an item doom score.
How many sources carried this story?
Carried by one source. That is the normal case — most items are reported once — and it is stated rather than left blank so a single-source item cannot be mistaken for a corroborated one.
Which related stories are in this window?
5 related stories in the same window, each with its own permanent scored page.
Does SIREN publish an item doom score?
No. Activity tempo, not probability of harm. A permanent story page carries a tempo score decomposition and corroboration set, not a probability of harm.