AI Intelligence Archive

Google has updated its privacy policy to explicitly describe when content from connected Google apps...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 4: Ghost in the Machine ...

Halloween thins the line between past and present. Día de los Muertos asks us to set a place for what...

Google has announced Gemini 4 Argon, its next-generation frontier model, with a phased release that...

Google’s current AI work points to two distinct, potentially important tracks: Project Genie, a...

Every repository has a graveyard. A Día de los Muertos altar and séances for your deleted files, written by Gemma 3 running locally.

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 4: Ghost in the...

Novel view synthesis and 3D reconstruction have advanced rapidly with radiance fields and splatting, yet their memory and computational demands limit their use in resource-constrained settings. We introduce Hexels: novel planar hexagonal s…

Vision-Language-Action (VLA) models have made substantial progress in robotic manipulation, but their generalization remains constrained by the diversity and coverage of action-labeled robot demonstrations. Human videos provide much broade…

Test-time adaptation helps a deployed model respond to changing inputs, but the same intervention can rescue one batch and damage the next. Updating normalization statistics, for example, can improve corrupted images yet fail when a batch …

We introduce Heads of Security (HoS), a prompt injection defense that enforces instruction-data separation via a small set of learned per-head attention gates. HoS learns how each head should redistribute attention between trusted and untr…

Relations compose through the entity they share - Alice is Bob's mother and Bob is Carol's father, so Alice is Carol's grandmother - and the order matters, since a father's mother is not a mother's father; verifying a composed relation mea…

Atmospheric chemical mechanisms are commonly distributed in the language of the Kinetic PreProcessor (KPP), which generates efficient Fortran or C code but does not fit into the differentiable programming frameworks in which machine-learni…

Dexterous manipulation with multi-fingered hands is the next frontier of robotics, yet learned hand skills remain limited to simple grasps or basic repeated motions, such as rotating an object. As robots attempt more demanding in-hand mane…

Large Language Models (LLMs) are increasingly used in multi-turn agentic workloads that require sustained interaction with complex environments. Existing reflective prompt optimizers such as GEPA learn from failed rollouts, but agentic fai…

Scientific discovery often begins with an unexpected observation that prompts a new research question. In a world with altered physical laws, can large language models (LLMs) notice unexpected behavior, such as heavier objects falling more…

We explore how to build performant large language model (LLM) tool-use agents that complete complex, multi-step tasks. Specifically, we study how data composition in synthetically generated tool-use environments affects the training of suc…

Weight decay and explicit weight-norm constraints improve optimizer performance in language model pretraining, yet a unified understanding of why such control helps and how much is needed remains incomplete. We analyze norm control in Muon…

Self-attention plays a key role in long-sequence modeling, but its quadratic time complexity fundamentally limits the scaling of Large Language Models. Recently, Multi-State Linear Attention (MSLA) mechanisms have been proposed to make seq…

Diffusion language models offer a promising path to efficient agents through parallel token generation. However, efficient interaction requires adapting both where computation is spent and how much text is generated. We introduce a metacog…

Claude Code on a subscription has two limits: a 5-hour session and a weekly cap. The session one is...

Language models pretrained on web corpora collected over multiple years learn both general and domain-specific knowledge. How these different kinds of knowledge are learned as pretraining progresses remains unclear. Recent point-in-time mo…

A documentation skill sounds like a low-risk addition to an AI agent. It reads code, proposes an...

When an LLM group's discussion is compressed into a short memory for a final decision maker, what should the memory keep? Two natural heuristics keep the rarest claims or the claims relevant to the decision criteria. On hidden-profile task…

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 4: Ghost in the Machine. ...

Alphabet, Broadcom and SpaceX each report a big deal with a company they don't name. Read against Anthropic's S-1, the terms match.

I built SECOND STRIKE, a real-time world war on a 3D globe of the real Earth, where AI models and...

You.com, Tavily, Exa and Parallel, tested live on 30 agent-style queries across GTM, insurance and finance. Open data, open harness and an MCP server.

Chain-of-thought reasoning has substantially advanced video understanding in multimodal large language models (MLLMs). However, language-based reasoning traces do not provide a reliable mechanism for models to revisit relevant visual evide…

As executable environments for language agents scale, generating and verifying their rollouts becomes increasingly expensive. Under finite rollout budgets, this raises an important question: can data management at the environment level mak…

For audio-language models, an answer change after a local sound-event edit can reflect a response to the event's class, sensitivity to waveform rewriting, or both. We compare matched same-class and different-class replacements of a queried…

Developing on-device image models requires considering practical user needs, task types and device resource constraints. However, existing benchmarks provide limited guidance on identifying capability gaps between on-device models and serv…

Traffic forecasting requires modeling complex temporal dynamics and the spatial dependencies imposed by road topology. Supervised graph-based models achieve strong performance, but are often trained for a particular dataset and sensor grap…

新的 Slopcode Bench 结果：🦄 AI That Works #79 https://x.com/i/broadcasts/1AKEmvEXmvkKL

Originally published on meridianbuild.dev, my build log for OutfitMaker, an AI outfit planner that...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 4: Ghost in the Machine ...

Make empty what is already empty. Let doubt breed inside doubt. — The 36 Stratagems, The Empty Fort...

OpenAI’s Signals v3.0 data indicates that ChatGPT is increasingly being used as an...

Breaking the Illusion of HITL: Why Autonomous Agents Harvest Their Own OTPs and How to Fix...

A developer finishes a change sooner with an AI assistant. The pull request then waits for review,...