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.

2,373 searchable experts 3,304 tracked across all sources
Filter the conversation Who is saying what?

Combine a professional role with a reaction lens. Both must match the same attributed contribution.

Clear all
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.

0 live reaction maps in this view

No development in this filter has enough independent reactions yet. The maps appear as soon as the evidence supports them.

What is moving across the network now

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

New Vision & synthetic media Signal 48m ago

RGB-D Video Generation for Improving Human-to-Robot Object Handover Prediction

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“This study presents Hand2Bot, an RGB-D dataset capturing human gestures in real-world handover scenarios, addressing the sim-to-real gap. The PassGen pipeline improves intention prediction, allowing robots to effectively anticipate actions. https://arxiv.or…”

New Agents & robotics Signal 1h ago

AI Guardrail Survival under Single-Cycle Agentic Self-Summarization

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“Research shows that during AI context compaction, safety rules can be lost or silently degraded, causing significant violations. The study stresses that verifying rule presence is not enough for compliance, thus highlighting the need for external monitoring…”

New Agents & robotics Signal 4h ago

AHD Agent: Agentic Reinforcement Learning for Automatic Heuristic Design

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“AHD Agent enhances heuristic design by integrating LLMs into a dynamic framework, enabling active selection between heuristic generation and tool use, improving efficiency and matching larger models with fewer evaluations. https://arxiv.org/abs/2605.08756”

New AI research Resource 10h ago
Julie Carpenter human-robot research blog

Julie Carpenter, Ph.D. — Blog

2 directory members surfaced this signal.

2 experts 2 communities 1 sources clustered

“If you enjoy the public writing that I do and want to support it, please consider sharing this link or donating directly. DMs open for UXR job leads. Thank you. ko-fi.com/drjuliecarpe... jgcarpenter.com/blog.html”

New Agents & robotics Signal 7h ago

From Refuse to Richness: Rubric Rewards for Long-Form Hallucination Reinforcement Learning

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“Yudong Wang, Zhe Yang, Wenhan Ma, Rang Li, Qibin Yang, Weimin Xiong, Jiangshan Duo, Liang Zhao, Zhifang Sui From Refuse to Richness: Rubric Rewards for Long-Form Hallucination Reinforcement Learning https://arxiv.org/abs/2608.12337”

New Agents & robotics Signal 17h ago
⚡ 7 h early

Lost jobs, inequality, rogue agents: why are we accepting oligarchs’ AI agenda? | Robert Reich

2 directory members surfaced this signal.

2 experts 1 community 1 sources clustered

“"We’re watching all of this roll out as if we have no choice, as if it’s inevitable, as if AI is just something we’re going to have to adapt to". @rbreich.bsky.social in a 🔥 op-ed about how important it is to push back tech bros' AI inevitability narrative.…”

New Agents & robotics Signal 8h ago

LycheeMemory V2: Efficient Long-Term Memory for LLM Agents via Semantic Segment-Level Consolidation

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“Dongfang Li, Zixuan Liu, Junmai Wang, Jiahe Huang, Fuhao Li, Bonian Jia, Baotian Hu, Min Zhang LycheeMemory V2: Efficient Long-Term Memory for LLM Agents via Semantic Segment-Level Consolidation https://arxiv.org/abs/2608.12990”

New Agents & robotics Signal 14h ago

Agentic ai challenges progress in confidential computing

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“Agentic AI Challenges Progress in Confidential Computing securing data on gpus is non-trivial. encryption has to be low level to stop accidental exposures. lots of the slowdowns here have now been addressed. maybe confidential computing will finally happen?…”

New Agents & robotics Signal 20h ago

Lost jobs, inequality, rogue agents: why are we accepting oligarchs’ AI agenda? | Robert Reich

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“"We’re watching all of this roll out as if we have no choice, as if it’s inevitable, as if AI is just something we’re going to have to adapt to". @rbreich.bsky.social in a 🔥 op-ed about how important it is to push back tech bros' AI inevitability narrative.…”

What experts are discussing without an anchoring article

2 experts · 2 posts · 1d ago
Grace: @anthropic.com thank you for your attention to this matter
austin: > In an iterated prisoner's dilemma game with communication, agents all settle upon the same strategy and they all defect at the same time, tanking their overall rewards. blueskyism
Open the thread →