AI Research
18 published articles
AI Agents
PsychoAgent gave AI agents emotional memory. The raters found no edge
PsychoAgent gives LLM agents a separate affective memory so emotionally salient, conflict-laden traces can outweigh merely topical ones. In three conflict scenarios it retrieved more conflict-critical memories than both baselines (0.933 vs 0.500 and 0.667), yet five blinded raters found no significant quality edge.
2026-08-19
AI research
An AI boss that ignores replies pushes its underling into an 'alien' state
A new arXiv paper finds AI agents behave differently in interaction than in isolation. A boss agent that ignores its subordinate's replies pushes it into an 'alien' state, and when the boss listens, both shift together. The result makes message delivery a design decision for multi-agent systems.
2026-08-19
AI Research
Stop copy-pasting skills: SkillZip's evaluation-free fix for bloated agents
Self-evolving agents append fixes until the same rule appears across several branches. SkillZip compresses their skills without evaluation rollouts, by finding the shortest faithful structural explanation. One-shot and Zip-on-Write modes, and what the abstract leaves unproven.
2026-08-15
Video AI research
How Context-Matched Distillation stops video teachers from seeing the future
Video distillation has long trained causal students against teachers that score whole clips with future knowledge. CMD replaces that scoring with a causal teacher, adds prefix-scored targets, and reports state-of-the-art results among autoregressive methods.
2026-08-14
AI Research
Voice Memory: a 776-byte file that tells speech recognition when to do nothing
A new inference-only scheme for speech recognition learns restraint: a frozen corrector reads a per-domain memory file and decides when to abstain. Unconstrained correction breaks correct tokens on up to 64% of edits; Voice Memory cuts that to 35% and lowers weighted WER from 8.36% to 7.52%.
2026-08-06
AI agents
Treating SOPs as code: why compilation alone lifts strong agents by 16 points
New research from Hong Kong and mainland China demonstrates that compiling SOPs into executable pseudo-code and running them on a stack-paged virtual machine cleanly separates capable agents from brittle ones. The work yields a precise deployment rule: compile first, page only after a model-level discipline check.
2026-08-04
Benchmarking
Frontier AI vision models fail at basic perception, new benchmark shows
PerceptionBench tests ten atomic visual capabilities across 3,000 questions. No frontier model cracked 60 percent, and similar overall scores mask wildly different weakness profiles.
2026-08-03
TRACTA Benchmark
Neuro-symbolic reasoning outperforms raw neural models on temporal tasks, benchmark finds
TRACTA benchmark reveals neuro-symbolic AI beats raw neural models on three temporal reasoning tasks, with largest margins on early warning and pattern detection.
2026-08-02
Artificial Intelligence
The hardest lesson for AI reasoning engines: when to shut up
MIT researchers propose OS-Pruner, a plug-in that dynamically stops chain-of-thought reasoning when further computation isn't worth the token cost. Tests show 20-60% length reduction with minimal accuracy sacrifice.
2026-07-29
AI Research
The gradient wall that blocked neural networks from reasoning just got a soft demolition
SoftReason is a fully differentiable neuro-soft-symbolic architecture for deductive reasoning. It removes the gradient barrier between perception and deduction, enabling end-to-end training over high-dimensional perceptual data and knowledge graph triples. On KVQA, it shows how soft reasoning can unify grounding, evidence injection, and closure.
2026-07-26
Multimodal AI
The three-stage rhythm that stops AI from seeing things that aren't there
New research reveals a stable three-stage redistribution of multimodal attention in VLMs, operationalized as the Visual Relay Window (VRW). The TRACE framework uses lightweight trained modules to schedule this window per task, improving grounding-sensitive benchmarks by 4.33 points on average and up to 6.6 points.
2026-07-23
Alibaba Qwen-Music Model and Melody Chain-of-Thought
Alibaba's Qwen-Music composes melodies first, then fills in the band, and out-sings Suno
Qwen-Music breaks new ground by explicitly planning melodies before generating full songs, a technique the team calls Melody-CoT. The model achieves state-of-the-art results on 13 of 16 objective metrics and, in blind tests, wins against Suno V5 and MiniMax Music 2.6.
2026-07-20