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A new framework from researcher yigeng and GPT 5.6, published July 12, 2026, defines self-improvement in agent systems as an evidence-driven, persistent state transition that changes future behavior, with most practical …
New research reveals that auto-regressive large language models suffer from the Reversal Curse, failing to infer that B is A after learning A is B. Tests on GPT-4 showed accuracy dropping from 79% on forward queries to 3…
Finance teams are adopting AI for forecasting, data consolidation, and anomaly detection, but the technology remains incapable of building financial models that require structured reasoning about business drivers and ass…
A new analysis finds that AI models perform significantly worse in non-English languages due to three factors: training data share, tokenizer fitting, and instruction-tuning coverage. Accuracy drops of up to 29% have bee…
Thinking Machines Lab, an AI startup founded by former OpenAI executives including Mira Murati, has released its first open-weight model, Inkling, a 975-billion-parameter model trained on audio, video, and text. The comp…
Google researchers introduced DiffusionGemma, a 26-billion parameter mixture-of-experts speech recognition model that uses discrete diffusion to refine whole transcripts in parallel, achieving a 6.6% word error rate on L…
A PHP developer argues that PHP is superior to Python for integrating AI into web applications, particularly for e-commerce platforms like PrestaShop. The developer contends that while Python excels at training models, P…
Launch of Data Agent Kit, an open-source collection of tools and plugins designed to unify the fragmented landscape of data engineering and agentic development. It integrates directly into existing developer environments…
Attackers are using artificial intelligence to compress the vulnerability lifecycle from discovery to mass exploitation, making defenders' traditional assumption of having time to triage and patch disclosures obsolete. A…
Graph-constrained AI models outperform traditional methods in clinical code prediction, achieving a 0.709 micro-F1 score on a curated 50-code subset and 0.527 on the full 15,761-code space of the MIMIC-IV dataset, with i…
YC-backed Prescience launched on July 21st, claiming its AI-managed health benefits platform can cut employer premiums by roughly 20% while offering $0-deductible plans. Founded by brothers Aditya Jain (MD, Harvard Medic…
Nscale, the AI cloud operator that builds its own data centers and generates its own power, has agreed to buy Anyscale, the company behind the Ray distributed-computing framework, in a deal announced on July 30, 2026. Th…
New research introduces a framework called Statistically Meaningful Geometry (SMG) to evaluate whether large language models (LLMs) are genuinely intelligent or merely pattern-matching. The framework aims to detect signs…
Researchers developed SAMPA, a Whisper-based segmenter that transcribes Brazilian Portuguese speech while inserting markers for terminal prosodic boundaries. Fine-tuned on the NURC-SP dataset, SAMPA achieved competitive …
OpenAI Codex enables developers to build a variety of projects quickly, from simple apps to full-stack clones. Five tutorials demonstrate building a basic app, a Swift iOS app, an AI startup in a week, a 2D game, and an …
Thinking Machines Labs, founded by former OpenAI CTO Mira Murati, released its first open-weight multimodal AI model, Inkling, a 952-billion-parameter Mixture of Experts system that processes both text and images. The mo…
Researchers introduced Next-Latent Prediction (NextLat), a training method that extends next-token prediction with self-supervised latent state predictions, enabling transformers to learn compact world models with improv…
Lilian Weng, co-founder of Thinking Machines Lab, posted a cryptic message on July 27 calling her decision 'hard and sad,' without specifying its nature, following the July 15 release of the company's first general-purpo…
Dropout, a regularization technique that randomly removes neurons during neural network training, helps prevent overfitting by forcing the network to distribute learning across multiple pathways, leading to better genera…
Nikhil Suresh, a consultant at Hermit Tech, reports that hundreds of executives privately admit AI has not changed their businesses, but they publicly claim otherwise to keep their jobs, as detailed in his essay 'AI Mani…