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6 results for “2047”

SPIN Processed News Frame: The Hype

Semi-Supervised Text-Attributed Graph Distillation

A new semi-supervised graph distillation method called \algo{} is proposed to improve scalability and interpretability of text-attributed graphs (TAGs) when used with large language models, addressing bottlenecks in representation learning.

Spin 75% Claim Present in Source AI Risk High
arXiv Artificial Intelligence

Jul 24, 2026

SPIN Processed News Frame: The Hype

VeriSimpl: Robust Optimization Modeling from Natural Language using Simplification-based Verification

VeriSimpl is a new LLM-based framework that uses solver-generated simplifications to verify natural-language-to-optimization translations, improving accuracy and introducing a self-verification signal on optimization benchmarks.

Spin 65% Claim Present in Source AI Risk Moderate
arXiv Artificial Intelligence

Jul 24, 2026

SPIN Processed News Frame: The Hype

Incomplete Prompt Jailbreaks in Large Language Models

Researchers identify a new class of jailbreaks—'incomplete prompt jailbreaks' (IPJ)—where LLMs delay refusal until sentence completion, revealing systemic vulnerability in open-weight models despite existing safeguards.

Spin 45% Claim Present in Source AI Risk Moderate
arXiv Artificial Intelligence

Jul 24, 2026

SPIN Processed News Frame: The Hype

Robust Critics: Defending LLMs Against Multi-Turn Attacks

Researchers propose Dialogue Critic Guided Sampling (DCGS), a new inference-time safety framework for LLMs that dynamically infers user intent across multi-turn dialogues to better distinguish harmful attacks from benign queries, outperforming existing baselines on adversarial benchmarks.

Spin 75% Claim Present in Source AI Risk High
arXiv Artificial Intelligence

Jul 24, 2026

SPIN Processed News Frame: The Hype

PlanE: Meta Planning of Data, Tuning, and Inference for Extractive-based LLMs

PlanE is a new meta-planning framework for extractive-based LLMs that automates data decomposition, instruction tuning, and prompt inference to reduce annotation cost and improve task-specific model construction efficiency.

Spin 45% Claim Present in Source AI Risk Moderate
arXiv Artificial Intelligence

Jul 24, 2026

SPIN Processed News Frame: The Stampede

AI startup that’s never turned a profit say's it'll totally be around in 2047 to close its $19B lease - The Register

An unprofitable AI startup has signed a $19 billion lease commitment extending to 2047, asserting long-term viability despite no path to profitability.

Spin 87% Needs Evidence AI Risk High
The Register AI / Software via Google News

Jul 8, 2026