The Download: radioactive rhinos, and the rise and rise of peptides
MIT Technology Review · · Original

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. Why conservationists are making rhinos radioactive Every year,

We’re putting more stuff into space than ever. Here’s what’s up there.
MIT Technology Review · · Original

Earth’s a medium-size rock with some water on top, enveloped by gases that keep everything that lives here alive. Just at the edge of that envelope begins a thin but dense layer of human-built, high-t

Why conservationists are making rhinos radioactive
MIT Technology Review · · Original

Every year, poachers shoot hundreds of rhinos, fishing crews haul millions of sharks out of protected seas, and smugglers carry countless animals and plants across borders. This illegal activity is in

Anthropic Releases Claude 4.5 Family of Models
MIT Technology Review · · Original

Anthropic has launched the Claude 4.5 model family, featuring improved reasoning capabilities and a larger context window. The models show significant advances in code generation and multi-step problem solving.

On the Dynamics of Observation and Semantics
arXiv cs.AI · · Original

arXiv:2602.18494v1 Announce Type: new Abstract: A dominant paradigm in visual intelligence treats semantics as a static property of latent representations, assuming that meaning can be discovered thr

Hierarchical Reward Design from Language: Enhancing Alignment of Agent Behavior with Human Specifications
arXiv cs.AI · · Original

arXiv:2602.18582v1 Announce Type: new Abstract: When training artificial intelligence (AI) to perform tasks, humans often care not only about whether a task is completed but also how it is performed.

Feedback-based Automated Verification in Vibe Coding of CAS Adaptation Built on Constraint Logic
arXiv cs.AI · · Original

arXiv:2602.18607v1 Announce Type: new Abstract: In CAS adaptation, a challenge is to define the dynamic architecture of the system and changes in its behavior. Implementation-wise, this is projected

Decoding ML Decision: An Agentic Reasoning Framework for Large-Scale Ranking System
arXiv cs.AI · · Original

arXiv:2602.18640v1 Announce Type: new Abstract: Modern large-scale ranking systems operate within a sophisticated landscape of competing objectives, operational constraints, and evolving product requ

Spilled Energy in Large Language Models
arXiv cs.AI · · Original

arXiv:2602.18671v1 Announce Type: new Abstract: We reinterpret the final Large Language Model (LLM) softmax classifier as an Energy-Based Model (EBM), decomposing the sequence-to-sequence probability

Many AI Analysts, One Dataset: Navigating the Agentic Data Science Multiverse
arXiv cs.AI · · Original

arXiv:2602.18710v1 Announce Type: new Abstract: The conclusions of empirical research depend not only on data but on a sequence of analytic decisions that published results seldom make explicit. Past

Task-Aware Exploration via a Predictive Bisimulation Metric
arXiv cs.AI · · Original

arXiv:2602.18724v1 Announce Type: new Abstract: Accelerating exploration in visual reinforcement learning under sparse rewards remains challenging due to the substantial task-irrelevant variations. D

Beyond Description: A Multimodal Agent Framework for Insightful Chart Summarization
arXiv cs.AI · · Original

arXiv:2602.18731v1 Announce Type: new Abstract: Chart summarization is crucial for enhancing data accessibility and the efficient consumption of information. However, existing methods, including thos

Federated Reasoning Distillation Framework with Model Learnability-Aware Data Allocation
arXiv cs.AI · · Original

arXiv:2602.18749v1 Announce Type: new Abstract: Data allocation plays a critical role in federated large language model (LLM) and small language models (SLMs) reasoning collaboration. Nevertheless, e

The Convergence of Schema-Guided Dialogue Systems and the Model Context Protocol
arXiv cs.AI · · Original

arXiv:2602.18764v1 Announce Type: new Abstract: This paper establishes a fundamental convergence: Schema-Guided Dialogue (SGD) and the Model Context Protocol (MCP) represent two manifestations of a u

LAMMI-Pathology: A Tool-Centric Bottom-Up LVLM-Agent Framework for Molecularly Informed Medical Intelligence in Pathology
arXiv cs.AI · · Original

arXiv:2602.18773v1 Announce Type: new Abstract: The emergence of tool-calling-based agent systems introduces a more evidence-driven paradigm for pathology image analysis in contrast to the coarse-gra

GenPlanner: From Noise to Plans -- Emergent Reasoning in Flow Matching and Diffusion Models
arXiv cs.AI · · Original

arXiv:2602.18812v1 Announce Type: new Abstract: Path planning in complex environments is one of the key problems of artificial intelligence because it requires simultaneous understanding of the geome

New Research Shows LLMs Can Self-Verify Mathematical Proofs
arXiv cs.AI · · Original

A team of researchers demonstrates that large language models can verify the correctness of mathematical proofs with 94% accuracy, potentially revolutionizing automated theorem proving.

Google DeepMind Announces Gemini 3.0 with Enhanced Multimodal Reasoning
Google AI Blog · · Original

Google DeepMind unveils Gemini 3.0, featuring improved visual understanding and real-time video analysis. The model can process hour-long videos and answer detailed questions about their content.