The Archive

MM-StanceDet uses retrieval-augmented multi-agent framework for multimodal stance detection with cross-modal conflict resolution.

DPN-LE framework identifies minimally necessary neurons for LLM personality representation to reduce editing overhead and degradation.

TunnelMIND applies training-free visual recalibration to foundation models for precise tunnel defect localization and engineering documentation.

LAPITHS framework challenges CENTAUR model's claims of human-like cognition via theoretical and empirical critique of transformer interpretations.

Survey synthesizes LLM-assisted peer review methods: generation, rebuttal/meta-review automation, and evaluation across pipeline stages.

Evaluates EuroLLM, Aya Expanse, Gemma on emotion preservation in machine translation across 28 emotion categories in 5 languages.

Conformal Abstention framework provides finite-sample guarantees for LM uncertainty quantification and abstention from hallucination-prone queries.

Physical Foundation Models proposes fixed hardware implementations for trillion-parameter models to amortize deployment infrastructure costs.

Schema-grounded external memory for agents outperforms text-retrieval approaches by enabling exact fact tracking, state updates, and structured queries.

HealthFormer decoder-only transformer models human physiological trajectories across 667 measurements from 15K+ patients to simulate intervention responses.

Survey formalizing graph-based world models for agents, decomposing environments into entity nodes and edges to improve robustness vs. flat-tensor approaches.

Mixture-of-Experts framework for semi-supervised inference combining diverse predictors with limited labeled data via prediction-powered inference.

System-prompt self-orchestration outperforms external agent frameworks (LangGraph, CrewAI, OpenAI SDK) on procedural tasks; 200 conversation comparison.

Decoupled Descent algorithm enforces train-test error identity in gradient descent via approximate message passing, addressing generalization gap.

On-demand persona-based agent generation framework enabling dynamic multi-agent workflow customization without hard-coded architectures.

Lightweight clinical agent architecture using integrated state dynamics to surface pre-escalation risk signals in LLM clinical deployment.

KellyBench: long-horizon sequential decision benchmark using 2023-24 Premier League sports betting; evaluates agents on non-stationary open-ended optimization.

llama-swap adds matrix grouping feature for multi-model orchestration and intelligent VRAM swap scheduling.

Reddit discussion expressing skepticism toward DeepSeek claims; lacks substantive technical content or reporting.

TwinGate defense against decompositional jailbreaks in untraceable, anonymized request streams using stateful asymmetric contrastive learning.

DeepSeek & Peking/Tsinghua introduce 'Thinking with Visual Primitives', a multimodal reasoning framework using spatial tokens as chain-of-thought units.

OpenAI is opening up about its goblin problem. After a report from Wired revealed instructions to OpenAI's coding model to "never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures," the AI startup published an explanation on its website, calling references to the creatures a "strange habit" its models developed as a result of their training. As outlined in the blog post, OpenAI began noticing metaphors referencing goblins and other creatures starting with its GPT-5.1 model - specifically when using the "Nerdy" personality option. OpenAI says the pro...

Vague post title with no substantive content; insufficient information to assess.

Working on large codebases with Claude Code, we kept running into the same issue: when Claude looks for relevant code, it falls back to grep, reading full files, or launching multiple subagents. This burns through tokens, and often misses the relevant code. There are some existing solutions (that we also benchmarked against), but they all had issues (too slow, needs API keys, quality not good enough, etc). We built [Semble](https://github.com/MinishLab/semble) to fix this. It's a local MCP server that gives Claude Code high quality code search: instead of reading files to find what's relevan...

It started yesterday… looks like usage burn cost went up by 30%… this will be brutal on pro accounts. if you’re on pro and your 5h usage burns out in two opus prompts, you’re not imagining that anymore.

Spotify is launching a new verification program to combat spam, fakes, and AI. Some artists will now have a "Verified by Spotify" badge and a green checkmark on their profile, indicating that the company has confirmed a real person is behind the music and the profile. At least at launch, Spotify says that AI personas or profiles that primarily upload AI-generated music are not eligible for the verification program. It did leave the door open to the possibility in the future, though, saying, "the concept of artist authenticity is complex and quickly evolving." Not just anyone can be verified, ...

Reddit humor post about blindly accepting 22k+ Claude code suggestions without review.

User reports empirical comparison of Qwen-3.6-27B running locally vs. proprietary cloud models on coding/hard reasoning tasks.

I created a character and animation from scratch in Blender using Claude. As a game developer, this was such a fascinating experience. It’s hard to believe how far AI has come in just a year. I’m excited to keep building this game idea with AI and share the journey along the way. Stay tuned.

Reddit user reports receiving 6 months free ChatGPT Pro subscription; personal anecdote about developer productivity.