Beyond RAGs: Building Actually Truthful AI Harnesses
Retrieval is not evidence. How to build AI that proves its own claims. The post Beyond RAGs: Building Actually Truthful AI Harnesses appeared first on Towards Data Science.
Category: AI
How to Maximize Your Coding Agent Subscriptions
Get more out of your coding agent subscriptions The post How to Maximize Your Coding Agent Subscriptions appeared first on Towards Data Science.
Which Objectives Need a Dial? Predicting Objective Conflict and Covering Trade-offs in Steerable Pluralistic Alignment
arXiv:2609.26929v1 Announce Type: new Abstract: People hold diverse, sometimes conflicting values, so no single aligned model can satisfy everyone. Pluralistic alignment therefore calls for steerable models that can balance competing objectives differently. Multi-Objective Direct Preference Optimization (MODPO) does this by using an objective weight to span a continuum of trade-offs. We study two questions: when…
Building Socio-Affective Artificial Intelligence for Interactive Multi-Agent Simulations
arXiv:2609.26927v1 Announce Type: new Abstract: The objective of this article is to provide design principles and a software architecture for enabling interaction between humans and multiple agents in simulated dynamic worlds. This connects the current era of general artificial intelligence (AI/AGI) with the proliferation of transformer-based conversational agents and the increased computational capabilities. Given an…
TwinCheck: Evidence-Grounded Negative-Twin Verification for Stateful Tool Agents
arXiv:2609.26911v1 Announce Type: new Abstract: A single locally plausible tool call can derail an otherwise successful agent trajectory. Suspicion alone does not justify intervention, because the replacement itself can introduce the very failure verification is meant to prevent. We introduce TwinCheck, an inference-time verification policy that considers replacement only when the trace satisfies an evidence…
Harness as a Language: A Minimalist Agent Framework With Maximal Expressivity
arXiv:2609.26891v1 Announce Type: new Abstract: Modern language-model agents are built around the textit{agent loop}, where the LLM is placed in an environment exposing a set of tools, and the LLM has full control over the workflow by alternating between tool calls and observing their output. However, certain workflows currently require additional engineering beyond the agent…
Silent Failures in Agent-Tool Interaction: An Audit of ToolUniverse
arXiv:2609.26836v1 Announce Type: new Abstract: Agentic AI systems are increasingly adopting automated pipelines that integrate multiple tools. While prior research and benchmarks have studied about task success and task completion of these agentic systems, the research about agent to tool interaction, specifically in biology agentic workflow is limited. This study investigates specific failures in agent…
AI is dominating the conversation at Climate Week
This week, world leaders descended on Manhattan for the UN General Assembly. It’s also New York Climate Week—investors, policymakers, advocates, and journalists are colliding at panels, talks, and fancy dinners. With so many climate voices in one place, the discourse can feel a little louder than usual. This year, the unavoidable topic is artificial intelligence.…
The Download: a bid to scrap the virtual wall and AI hits Climate Week
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. A congressional representative just proposed killing America’s border tower program Delia Ramirez, a Democratic US representative from Illinois, has announced plans to introduce legislation to terminate the surveillance tower program along…
Why Most Data Science Notebooks Die After Day One: How to Build Ones That Survive
Six habits that keep a notebook runnable after you close the laptop.