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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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.

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Showing signals surfaced by adinayakup.bsky.social ×

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 Signal 11d ago
⚡ 3 h early

deepseek-ai/DeepSeek-V4.1-Flash · Hugging Face

4 experts across 2 network communities independently surfaced this.

4 experts 2 communities 1 sources clustered

“DeepSeek v4.1 Flash is just another level 🤯 huggingface.co/deepseek-ai/... - Asymmetric Causal-Encoder-Decoder: 550B MoE, input 8B / output 16B - Native vision merged into one endpoint - KV cache crushed: ~1/4 the HBM vs last one, 437× smaller than their fi…”

Established AI field signal Signal 14d ago

openbmb/MiniCPM5-2B · Hugging Face

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“When everyone is releasing big models, OpenBMB keeps shipping small but strong one. Here is the latest one: MiniCPM5-2B 🔥 huggingface.co/openbmb/Mini... - Dense 2B - Full data pipeline open as well: web, code, agent, RL - 131 context - Apache 2.0”

Established AI field signal Signal 13d ago

Nex-N2.5 - a nex-agi Collection

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“3 new open agentic models from Nex-AGI just dropped on @hf.co 🔥 Nex-N2.5: mini / Pro / Max - mini: 35B, tool-calling on 2×H100 - Pro: 397B hybrid-attention MoE, single 8×H100 node ( weights coming soon ) - Max: 1.6T, MoE - All Apache 2.0 huggingface.co/coll…”