Expert attention map

The Who's Who of AI

What credible people across AI noticed, why it matters, and where the field is converging or disagreeing.

2,397 searchable experts 4,280 tracked across all sources
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Showing developments with attributable Building & implementation reactions.

New Network reaction maps

See how experts are reacting—not just what they shared.

Posts are grouped by conversation and tone. Select a lens to filter the stream; these are never permanent labels on people.

Building & implementation Context & explanation
1 live reaction map in this view Jump to the evidence ↓
Multiple readings Spark-X2.6 - a XHToken Collection Building & implementation · 2 attributable reactions
Showing signals surfaced by adinayakup.bsky.social ×
Most important

The developments commanding sustained expert attention

One card per development. Sources are clustered; reaction bundles describe these posts, never the people behind them.

Established AI field signal Resource 12d ago
⚡ 134 h early
Spark-X2.6 XHToken collection release

Spark-X2.6 - a XHToken Collection

2 directory members surfaced this signal.

Why this matches Building & implementation reaction 1 attributable expert contribution · Sung Kim
“SparkLLM's Spark-X2.6-4B (open-weight) - 4B + Apache 2.0 - Up to 1M context - 3 thinking modes - Local deployment via GGUF Model: huggingface.co/collections/...” evidence ↗
2 experts 1 community 1 sources clustered
Sung Kim adinayakup.bsky.social
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Building & implementation

1 expert

How teams are shipping and applying it.

“SparkLLM's Spark-X2.6-4B (open-weight) - 4B + Apache 2.0 - Up to 1M context - 3 thinking modes - Local deployment via GGUF Model: huggingface.co/collections/...”

Context & explanation

1 expert

Background, chronology and why it matters.

“After its 4B model, SparkLLM is back again with an even smaller one: Spark-X2.6-1.7B huggingface.co/collections/... - 3 thinking modes: none, low & high - Up to 1M context - Apache 2.0 + GGUF/int4/int8/FP8 - Leading decoding throughput vs similarly sized mo…”

Primary source huggingface.co ↗
Established Models & releases Release 18d ago
Ling 3.0 flash model release

inclusionAI/Ling-3.0-flash-Sante · Hugging Face

1 directory member surfaced this signal.

Why this matches Building & implementation reaction 1 attributable expert contribution · adinayakup.bsky.social
“Ant group keeps shipping 🚢 They just released weights for Ling-3.0-flash-Sante 🩺 A new open medical reasoning model huggingface.co/inclusionAI/... - 124B/5.1B active MoE - 256K context - MIT License - Agentic deep research & tool use” evidence ↗
1 expert 0 communities 1 sources clustered
adinayakup.bsky.social

“Ant group keeps shipping 🚢 They just released weights for Ling-3.0-flash-Sante 🩺 A new open medical reasoning model huggingface.co/inclusionAI/... - 124B/5.1B active MoE - 256K context - MIT License - Agentic deep research & tool use”

Primary source huggingface.co ↗