Training-data traces offer a route to auditing LLM behavior
A new paper studies how model behavior can be traced back to empirical next-token distributions in training data.
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RSS feedA new paper studies how model behavior can be traced back to empirical next-token distributions in training data.
CIPHER introduces a decoupled exploration-selection framework designed to improve data science agents at test time.
Traccia proposes an OpenTelemetry-based platform for tracing and governing AI applications in production.
The Steering Budget explores when examples are more effective than explicit control knobs for guiding model behavior.
A new paper presents a multi-level agentic pipeline for synthesizing hard examples used in model training and evaluation.
A new study develops and validates measures for understanding student reliance on generative AI in academic writing.
A new paper argues that many agent failures come from broken context management rather than isolated model mistakes.
ReasFlow proposes a knowledge-based workflow for using language models in applied mathematics, with the goal of supporting reasoning-centric scientific discovery.
A new paper studies how AI language engines can influence the global conflict information environment, including the production and circulation of narratives.
A new paper argues that AI alignment should account for dynamic human-AI workflows rather than static instructions alone.
RxBrain introduces an embodied cognition foundation model that combines language and visual reasoning with imagination-style planning.
A new TechCrunch analysis examines Kimi as one of the most closely watched Chinese AI systems, framing it as both a technical contender and a geopolitical flashpoint.
China is backing a new World Artificial Intelligence Cooperation Organization, a signal that Beijing wants a larger role in setting international AI rules.
Ars Technica looks at whether AI can reduce prior authorization friction in healthcare or simply automate a process patients and clinicians already distrust.
India's smartphone slowdown highlights how the AI boom is reshaping consumer electronics, from pricing and demand to corporate.
Apple filed a trade secrets lawsuit against OpenAI last Friday, and it’s not messing around. The complaint alleges a pattern of misconduct reaching all the way up to OpenAI’s chief hardware officer and claims more than 400 former Apple employees now work at.
Databricks has remade its image into an AI company and has published research on the cost savings of open weight AI models for.
If every meeting, watercooler conversation, and date gets transcribed and summarized, who's actually reading any of.
Agility is opening a new training center for its Digit robots in Fremont.
Official estimates Google and Apple likely made millions in nudify app.
Apple is suing OpenAI. The complaint is readable and intense, as these things often are, though many experts seem to think many of the allegations are just the ways things are done. So what does Apple really want here, and why is it picking such a public.
Microsoft Signal Jul 17, 2026 How AI helps travelers get support faster Travel plans rarely go perfectly. To help customers navigate changes, refunds and other disruptions, Indonesian travel platform tiket.com has built AI-powered tools using Microsoft’s.
arXiv:2607.14169v1 Announce Type: new Abstract: Large language models can synthesize a game's rules as executable code - a Code World Model (CWM) - which a classical planner then searches over. Such models are typically accepted when they reach high.
arXiv:2607.14109v1 Announce Type: new Abstract: Probing the capabilities of Large Language Models (LLMs) and building robust solutions for Multiple-Choice Question Answering (MCQA) remain central challenges in natural language understanding. Furthermore, the.
Meta is reportedly in talks with Anthropic to rent out compute capacity from its data centers. The article Zuckerberg's plan to sell excess AI compute could finds its first big customer in Anthropic appeared first on The Decoder.
From AI workflows to battery life and security, here's what it's really like to live with Vertu's luxury foldable every.
The FireSat program can spot wildfires that other satellites.
TikTok is starting to test an opt-in tool that scans for AI likenesses and lets creators report them to the company, as spotted by social media consultant Matt Navarra. The tool is initially being tested with "some" US creators, TikTok US spokesperson Zachary.
Microsoft Signal Jul 17, 2026 Australia maps out its AI future Australia is developing a national approach to AI as it looks to equitably expand the technology’s use across the country’s economy. Microsoft is supporting that effort by backing a coordinated.
The cost of writing code dropped; the cost of owning it didn't. A framework for deciding which changes are actually cheap in the AI era. The post The cost of saying yes has changed appeared first on The GitHub Blog.
A new arXiv paper introduces Polestar, a method for drift-aware cache calibration and token commitment in diffusion LLM inference. The work focuses on making diffusion language models more efficient.
A new arXiv paper proposes measuring LLM tool efficiency through marginal tool utility. The framework asks how much value each tool call adds to a model’s task performance.
A new arXiv paper introduces Token Time Continuous Diffusion for language modeling. The research adds to efforts to adapt diffusion-style methods beyond images and into text generation.
A new arXiv paper connects UzWordnet with generative AI for learning Uzbek through game playing. The work targets language learning resources for a lower-resource language.
A new arXiv paper studies automatically evolving prompt guidelines for task-specific optimization. The work aims to improve prompt practices through iterative adaptation rather than static rules.
A new arXiv paper introduces UniSAGE for unifying static and dynamic attributes with hyper-structure. The work targets applications where hierarchical information includes both stable facts and changing records.
A new arXiv paper applies quantum compositional natural language processing to Arabic. The work addresses grammar, morphology, and word sense in circuit topology for a morphologically rich language.
A new arXiv paper proposes orchestrating power grid studies with multi-agent AI and MCP servers. The work applies agent workflows and tool protocols to critical infrastructure analysis.
A new arXiv paper introduces MemoHarness, a framework for agent harnesses that learn from experience. The research focuses on improving agent behavior through memory and repeated task execution.
A new arXiv paper studies capability in hybrid sequence models through access structure rather than scale alone. The authors propose lower bounds and pre-registered tests for evaluating the claim.