SourceMar 25, 20262026-03-254 minVerified
Separating Instructions and Data at the LLM Interface
A look at markup proposals that separate instructions from data in LLM inputs and why structured interfaces matter.
What this topic covers
Signals, research, and debates around general intelligence and superintelligence.
Hub content is updated incrementally.
All Articles
SourceMar 20, 20262026-03-205 minVerified
Judicial AI Depends on Human Algorithm Interaction Design
In courts, AI outcomes hinge less on model accuracy than on judge uptake, override patterns, accountability, and TEVV.
SourceMar 20, 20262026-03-203 minVerified
Medical AI Robotics Needs Governance Before Performance Claims
In medical AI robotics, governance, validation, and monitoring matter more than performance demos alone.
SourceMar 20, 20262026-03-204 minVerified
How Segmentation Signals Drop And Recover In MLLMs
Analyzes how segmentation signals in MLLMs weaken in the adapter and recover through LLM attention across the pipeline.
SourceMar 20, 20262026-03-204 minVerified
Speaker Diarization Expands to Film and TV
Speaker diarization is moving from meetings to film and TV, where off-screen speech, noise, and subtitle drift matter.
SourceMar 18, 20262026-03-185 minVerified
Agent Governance Shifts From Rules To Execution Paths
Why agent governance is moving from static rules to execution paths, runtime logs, and timing-aware intervention.
SourceMar 18, 20262026-03-185 minVerified
Why Prediction-Equivalent Models Disagree on Feature Attribution
Models with identical predictions can still produce different feature attributions, challenging XAI reliability, audits, and governance.
SourceMar 14, 20262026-03-144 minVerified
Educational AI Depends More on Design Than Models
A paper argues educational AI performance may depend less on model size and more on roles, skills, tools, runtime, and educator expertise.
SourceMar 13, 20262026-03-135 minVerified
Dynamic Coordination in Multi-Agent LLM and Robotics Systems
A minimal theory of multi-agent coordination through environmental memory, incentive fields, and feedback loops.
CommunityMar 13, 20262026-03-134 minVerified
Turning AI Ideas Into University Patent Strategy
A practical guide to turning AI ideas into patents through university invention rules, prototype planning, and claim-ready differentiation.
SourceMar 13, 20262026-03-134 minVerified
UAV-MARL Reframes Medical Drone Delivery as Collaborative Decisions
A look at UAV-MARL, which treats medical drone delivery as multi-agent collaborative decision-making, not just routing.
RoundupMar 12, 20262026-03-122 min
AI Resource Roundup (24h) - 2026-03-12
A curated link roundup from recently collected official updates and tech news.
CommunityMar 12, 20262026-03-125 minVerified
Cash vs Unlimited AI Access: ROI Decision Framework
Compare monthly cash vs future unlimited generative AI using ROI, including review, security, and policy-compliance costs.
SourceMar 12, 20262026-03-124 minVerified
Measuring LLM Gaps With LatAm Context QA Benchmarks
A LatAm-focused QA set (26k+) links Wikidata and Wikipedia to measure LLM gaps by country and cultural context.
CommunityMar 12, 20262026-03-124 minVerified
Rethinking Research Automation Forecasts Beyond Speed And Accuracy Metrics
Don’t equate tokens/sec or speedups with research automation; fix success, time budget, retries, and verification to forecast.
SourceMar 11, 20262026-03-114 minVerified
Private Dataset Condensation for Classical Clinical Models
arXiv:2603.09356 discusses dataset condensation for medical data, extending to trees and Cox via DP and zero-order optimization.
SourceMar 11, 20262026-03-115 minVerified
Routing and Gating for Stable Online Continual Learning
In one-pass non-stationary streams, evaluate PEFT limits and use routing/gating plus stability budgets to reduce forgetting and latency.
CommunityMar 11, 20262026-03-114 minVerified
Self-Amplifying R&D Loops And Alignment-Faking Risk Signals
As AI-driven R&D loops accelerate, alignment-faking signals (12%) raise operational risk. Lock in TEVV, independent review, and monitoring.
SourceMar 11, 20262026-03-114 minVerified
Testing Intersectional SDoH Bias in Clinical LLM Recommendations
Clinical LLM recommendations can shift with intersecting SDoH (gender, insurance, housing). Test cross-profiles and measure over-refusal before deployment.
SourceMar 10, 20262026-03-104 minVerified
ABRA Learns Batch-Invariant Representations for Cell Painting Screens
ABRA applies adversarial learning to reduce batch effects in cell painting, balancing batch invariance with fine-grained class discriminability.
SourceMar 10, 20262026-03-104 minVerified
Consensus Sampling Fails Without Verifiers For LLM Truthfulness
Without external verifiers, polling/majority-vote consensus over many samples can miss truth, even at 25× inference cost, and reinforce shared misconceptions.
RoundupMar 9, 20262026-03-093 min
AI Resource Roundup (24h) - 2026-03-09
A curated link roundup from recently collected official updates and tech news.
SourceMar 9, 20262026-03-093 minVerified
Prompt Group Training For Robust Text Guided Segmentation
Summarizes prompt group-aware training that aligns predictions across equivalent prompts, reducing variance and improving average zero-shot Dice.
CommunityMar 9, 20262026-03-094 minVerified
When Long-Term Memory Hurts New Task Learning
Long-term memory can boost performance yet cause negative forward transfer as tasks evolve. Design deletion, summarization, and replacement policies.