/
Navigation
C
Chronicles
Browse all articles
C
E
Explore
Semantic exploration
E
R
Research
Entity momentum
R
N
Nexus
Correlations & relationships
N
~
Story Arc
Topic evolution
S
Drift Map
Semantic trajectory animation
D
P
Posts
Analysis & commentary
P
Browse
@
Entities
Companies, people, products, technologies
Domains
Browse by publication source
Handles
Browse by social media handle
Detection
?
Concept Search
Semantic similarity search
!
High Impact Stories
Top coverage by position
+
Sentiment Analysis
Positive/negative coverage
*
Anomaly Detection
Unusual coverage patterns
Analysis
vs
Rivalry Report
Compare two entities head-to-head
/\
Semantic Pivots
Narrative discontinuities
!!
Crisis Response
Event recovery patterns
Connected
Nav: C E R N
Search: /
Command: ⌘K
Embeddings: large
VOICE ARCHIVE

Shiwei Liu

@shiwei_liu66
2 posts
2026-01-02
DeepSeek's new mHC is a nice step toward mitigating the curse of depth issues tied to residual, highlighted in our recent work https://arxiv.org/.... Glad to see frontier labs engaging with this direction. Congrats to Seed-Foundation-Model Team too https://arxiv.org/... [image]
2026-01-02 View on X
South China Morning Post

DeepSeek researchers detail mHC, a new architecture they used to train 3B, 9B, and 27B models, finding it scaled without adding significant computational burden

DeepSeek has published a technical paper co-authored by founder Liang Wenfeng proposing a rethink of its core deep learning architecture

2026-01-01
DeepSeek's new mHC is a nice step toward mitigating the curse of depth issues tied to residual, highlighted in our recent work https://arxiv.org/.... Glad to see frontier labs engaging with this direction. Congrats to Seed-Foundation-Model Team too https://arxiv.org/... [image]
2026-01-01 View on X
South China Morning Post

DeepSeek researchers detail a new mHC architecture they used to train 3B, 9B, and 27B models, finding it scaled without adding significant computational burden

DeepSeek has published a technical paper co-authored by founder Liang Wenfeng proposing a rethink of its core deep learning architecture