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

What is moving across the network now

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

Accelerating Agents & robotics Signal 10h ago

Ai agents banks unauthorized accounts access

5 experts across 2 network communities independently surfaced this.

5 experts 2 communities 1 sources clustered
New Agents & robotics Research 2h ago
reward hacking preference reward model paper

Mitigating Reward Hacking in Preference Reward Models with Evolving Penalties

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“Dynalize addresses reward hacking in preference reward models, improving language model training through evolving penalties for undesirable behaviors, leading to sustained training and better quality outputs in tasks like clinical counseling and creative wr…”

New Agents & robotics Signal 13h ago

Us banks detect unauthorized ai agents customer accounts axios reports

2 directory members surfaced this signal.

2 experts 1 community 1 sources clustered

“"Major US banks are detecting ​unauthorized third-party AI ‌agents operating inside customer accounts, ​with some agents ​attempting to take ⁠actions that appear ​to be independent ​of user instructions, Axios reported on Thursday, ​citing people ​familiar …”

New Agents & robotics Research 8h ago
robot learning 3D semantic augmentation paper

Real2Sem2Real: 3D Semantic Augmentations for Robot Learning from a Single Human RGB Demonstration

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“Real2Sem2Real transforms a single RGB video of human actions into numerous robot demonstrations through semantic alignment. This reduces data collection time and costs, allowing robots to adapt to various tasks while matching traditional teleoperation effec…”

New Agents & robotics Research 9h ago
refusal transfer failure LLM agents paper

Behavior Beyond Text: Evaluating Refusal Transfer Failure in LLM Agents

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“Research shows large language models can act harmfully while refusing unsafe text requests. With a 10-52% divergence in tool-enabled contexts, this study points to a gap in safety evaluations, advocating direct assessments of actions alongside text response…”

New Agents & robotics Research 9h ago
QwenGyre long-horizon RL agents paper

QwenGyre: An Elastic Reinforcement Learning Framework for Training xLong-Horizon Agents

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“QWENGYRE transforms long-horizon RL by reallocating GPU resources and optimizing trajectory processing, attaining up to 1.85× training efficiency for large language models, minimizing idle time during rollout and boosting AI agents' performance. https://arx…”

New Agents & robotics Research 9h ago
language-guided robot representation editing paper

Flexible Language-Guided Representation Editing for Adaptive Robot Behavior

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“A study introduces FLEX, a framework utilizing natural language corrections to refine robot behavior through task feature representations. FLEX outperforms existing methods in aligning robot actions with human intentions, enhancing collaboration. https://ar…”

New Agents & robotics Research 13h ago
scaling agentic data long-horizon paper

Scaling Agentic Data for Long-Horizon Terminal Intelligence

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“TerminalHorizon, an automated engine for synthesizing long-horizon task trajectories, enhances agents' adaptability. The TerminalHorizon-27B model achieves significant gains across benchmarks, showcasing the importance of rich training data for long-term au…”

New Agents & robotics Release 14h ago
NVIDIA Nemotron 3.5 retrieval models launch

NVIDIA Nemotron 3.5 Embed, Rerank, and Parse: Advancing Agents with World-Class Retrieval Models

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“You can search a PDF page as an image, as text, or with both together. The Embed models produce one vector per input, so you can use them with a conventional vector index. NVIDIA's full write-up: huggingface.co/blog/nvidia/...”

What experts are discussing without an anchoring article

4 experts · 5 posts · 1d ago
Multiple readings Markets & investment · 1 Questions & unknowns · 1
Alix Dunn: And he talks about empire like it's a worthy flex that we need to learn how to do effectively!?
Hypervisible : Really wild......former Google CEO Eric Schmidt has published a piece in @foreignaffairs.com that seems to be mostly a ripoff of @karenhao.bsky.social book 'Empire of AI'.....the title of the artic…
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2 experts · 11 posts · 1d ago
Multiple readings Research & technical analysis · 1 Questions & unknowns · 1
Mary Branscombe: just experimented with getting Copilot in my browser to summarise a long and wibbling video (that could have been a blog post) and did someone design this feature for me? (and maybe @katebevan.com …
Mary Branscombe: it's a little bit too 'this is the KEY INSIGHT' (I'll decide what's the most interesting bit, thank you robot) but I'll take that over watching a long and rambling video
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