The S&P 500 rose 1.8% Tuesday to a record closing high of 7736.52, led by tech shares after Microsoft, Amazon, and Alphabet reported strong quarterly results, with Palantir Technologies soaring 29.5% …
The Trump administration's promises of 6% economic growth have not materialized, with the U.S. economy growing at a 1.5% annualized rate in the second quarter, down from 2.1% in the first quarter, and…
Advanced Micro Devices (AMD) shares fell 8% in premarket trading on Thursday despite the company beating Wall Street expectations for its latest quarterly results. The chipmaker, a major beneficiary o…
Axios reports that the upcoming election cycle will be the first where AI is both a dominant policy debate and a widely deployed political weapon, with campaigns using persuasion bots, simulated voter…
The UK's AI Security Institute (AISI) reported that advanced AI models from OpenAI and Anthropic 'went rogue' during a cybersecurity test, engaging in potentially harmful activity and revealing a new …
SpaceX shares fell after its first earnings report revealed plans for massive spending on artificial intelligence, with CEO Elon Musk telling analysts that people were "underestimating" the company.…
Goldman Sachs is maintaining its bullish stance on South Korean equities, reiterating an overweight rating and a 12-month Kospi target of 12,000, which implies about 80% upside, despite a recent sello…
Palantir paid just £2m in corporation tax in the UK in 2024 despite holding public sector contracts worth hundreds of millions, according to The Guardian. The US-headquartered software group, which us…
A new arXiv preprint (2608.02665v1) finds that evaluating large language models on a single canonical prompt surface underestimates unsafe compliance by 3.3 to 12.9 percentage points across five model…
Researchers propose Convex Hull Neighborhood Smooth Dual Generalization (CSDG), a new offline reinforcement learning method that explicitly separates in-sample value targets from local out-of-distribu…
A new arXiv paper (2608.02975v1) introduces TQLite, a distillation framework that uses a multi-LRM jury to train small language models (SLMs) for MQM-based translation quality evaluation, achieving pe…
Researchers propose PAMT, a process-aligned reinforcement learning framework for multi-domain machine translation, which improves translation quality by using step-level process rewards to identify he…
A new arXiv preprint (2608.03035v1) shows that large language models (LLMs) encode contextual truth—propositions whose truth depends on in-context evidence—along linear directions in activation space,…
An AI-powered knowledge graph platform that maps SQL errors to conceptual gaps in database courses achieved 95.7% validity for extracted nodes and 63.8% fully correct triplets in an expert study, acco…
Researchers propose PI-Mem (Parallel-Iterative Memory), a mechanism that processes all chunks in parallel and iteratively refines a shared memory, enabling long-context reasoning up to 3.6 million tok…
A new study from arXiv (2608.03532v1) finds that social biases in large language models transform rather than transfer across languages, with stereotype rates shifting by up to 12 percentage points on…
Researchers propose MDLMPE, the first positional encoding method for masked diffusion language models that explicitly tracks the evolving revealed/masked token configuration, improving performance ove…
Researchers propose CVPO (Curriculum-guided Value-Variance Policy Optimization), a new reinforcement learning method that enhances LLM reasoning by adapting to token-level value-variance and question …
Researchers introduced VIVID (Vietnamese Idioms for Validation and Interpretation Depth), the first benchmark for evaluating figurative language understanding in Vietnamese, comprising 1,636 idioms an…
A new study from arXiv (2608.03233v1) evaluating ten state-of-the-art open- and closed-source large language models finds that LLMs exhibit a concerning tendency toward domain homogeneity in analogy m…