AI Intelligence Archive

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This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle ...

The problem is not creating worktrees, but managing them When two or more agents work in...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle ...

Personalization is essential for general-purpose robots to transition into household environments and achieve true practicality. While general robotic manipulation has been extensively studied, personalized robotic manipulation (PeRM) lack…

Significant efforts are currently being directed toward the implementation of large-scale quantum information processors, but realizing useful quantum advantage also requires the development of efficient quantum algorithms. While for many …

Predicting how the world responds to an action requires more than what can be seen: robots must account for environmental factors that are neither directly observable nor explicitly specified, from physical properties such as friction and …

Generative simulation can automate robot environment construction, but physically valid environments are not necessarily useful for training. The challenge is to identify environments that address a policy's failures and supervision that h…

Time series foundation models are becoming increasingly popular for general-purpose forecasting. However, most leading models predict marginal quantiles, leaving the dependence structure of future trajectories unspecified. This distinction…

Generative visual verifiers play a crucial role in advancing multimodal intelligence. To enhance the robustness of visual verifiers in complex multimodal scenarios involving compositional requirements, we move beyond conventional binary ve…

Mixture-of-experts (MoE) models have become an important approach for scaling model parameters. Modern MoE architectures increasingly combine two design choices: fine-grained expert segmentation and shared experts. The former increases exp…

Existing agent benchmarks typically evaluate agents on well-specified tasks defined by issue reports, specifications, or task tickets. Real-world customer delivery is different: forward-deployed engineers (FDEs) must clarify ambiguous requ…

Large language models (LLMs) are expanding from assisting scientific research and engineering to autonomously developing and improving AI systems, advancing AI for AI (AI4AI) as a pathway toward recursive self-improvement (RSI). Workflow-d…

Recent 3D world models increasingly use features from geometry foundation models (GFMs) as predictive world states, benefiting from their rich geometric priors. However, the view dependence of these features entangles scene dynamics with c…

We introduce 3DCodeVerse, a research ecosystem that enables coding agents to create editable and verifiable 3D content at scale. 3DCodeVerse comprises large-scale, high-quality datasets of executable 3D code, a coding harness for spatial r…

How can robots autonomously collect the contact-rich experience needed to learn dexterous manipulation? We present DSP: Dexterity from supervised play, a framework in which a robot learns a play policy from minutes of human play through be…

Retrieving relevant lemmas is crucial for formal theorem proving, enabling provers to build machine-checkable proofs from established mathematical results. Recent retrieval systems match library declarations to a target theorem or its inte…

We develop a robust reinforcement learning (RL) framework for learning adaptive treatment policies that generalize across patients and remain reliable under errors in the measured biomarker and shifts in the disease dynamics. By modeling t…

Large language models (LLMs) can often tell when they are being tested. This ability, known as evaluation awareness, can lead models to act more cautiously during safety evaluations than in real use. Existing work has studied evaluation aw…

Deep search agents solve knowledge-intensive tasks through long-horizon, multi-turn interactions, where assigning credit to individual search decisions is fundamentally difficult. Outcome-based reinforcement learning provides only a single…

Continuous diffusion language models (CDLMs) offer an alternative approach to parallel language generation; however, most existing studies directly use transformer architectures from either causal large language models (LLMs) or Diffusion …

Image editing models produce impressive results for individual edits, but their quality often deteriorates over multiple editing turns. Each editing turn introduces small distribution shifts that accumulate over successive edits, creating …

Time Series Language Models (TSLMs) enable language-based understanding and reasoning over temporal data, yet a fundamental question remains: what information should their time-series representations preserve, and what variation should the…

One of the first steps of a research pipeline is generating ideas. Large Language Models (LLMs) are increasingly used to automate this step, but most of this work optimizes the quality of individual ideas, while overlooking diversity. In o…

A tip calculator, a stopwatch, and a lot of pesos. TL;DR: I built a USD/MXN tip calculator with...

@Google - 排行榜：https://arcprize.org/leaderboard - 复现公开结果：https://github.com/arcprize/arc-agi-benchmarking - 测试政策：https://arcprize.org/policy - Gemini 4 Argon 完整结果：https://arcprize.org/results/google-gemini-4-argon

立即体验。 文本：https://fal.ai/models/nvidia/nemotron-3-5-super/text 视觉：https://fal.ai/models/nvidia/nemotron-3-5-super/vision 视频：https://fal.ai/models/nvidia/nemotron-3-5-super/video

The decoupling of compute from storage has positioned Apache Iceberg as the de facto open table...

@krea_ai Realtime：https://fal.ai/models/krea/v3/realtime

试用：https://openrouter.ai/nvidia/nemotron-3.5-super-vl:free

Inside the $23.99 ESP32 audio recorder found in an OpenAI executive conference room, why Anthropic replaced Git with Scion at 30,000 merges a day, and Cloudflare's JA4 bo

When an AI agent writes both the implementation and its tests, a green build may only prove that the same wrong assumption was encoded twice.

Beyond chat with llamadart · Part 4 Dash missed it. Pip’s scarf is by the pond, and all he has is...

Context isn't free. Retrieval isn't free. Observability isn't free. And an international standards...

在 Luma 中试试 Shot Coverage - https://app.lumalabs.ai/solutions/shot-coverage?utm_source=x&utm_medium=p-social&utm_campaign=q4-social&utm_content=shotcoverage&utm_aud=plg

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle ...

An offline checker that ranks machine-translated segments by the risk of a major meaning error: a $1.22 Tinker LoRA, Gemma 4 on DigitalOcean, Sentry tracing.

Why your agents need their own identity Most teams run every AI agent under one shared...

IMPORTANT. CRITICAL. You MUST. NEVER. A third of the repos in the Q3 report, 3,319 of the 9,784 with...