Software development is decentralizing away from Silicon Valley, and AI is transforming it into a local trade, according to Binny Gill, a Forbes Councils member. The capability to build software now e…
Forrester warns that business transformation, software development, and technology implementation are among the tech job categories most likely to be disrupted by AI, with only infrastructure, data an…
Forbes Councils member Nitin Rakesh argues that the next phase of business will be defined by 'enterprise agency,' where AI strategy must start with business strategy and intent rather than technology…
AI agents are forcing chief technology officers to adopt a city-planner mindset, according to a Forbes Councils article by Andrey Kuznetsov. The piece argues that CTOs must design AI systems with fore…
Alibaba Group Holding Ltd. reported a 45% increase in cloud revenue for the quarter ended June 30, 2026, even as heavy spending on artificial intelligence infrastructure weighed on overall profitabili…
Anthropic's annualized revenue run rate hit $65 billion at the end of July 2025, nearly double OpenAI's $40 billion, as the AI startup prepares for an IPO expected in October. Anthropic's Q2 revenue s…
An a16z partner created a fictional 19-year-old sorority girl named Janie for Bama Rush using ChatGPT and $100 in AI credits, and within a week, the fake account gained 1,300 followers on TikTok witho…
Softjourn, a consulting and software development company, narrowly avoided a supply chain attack when an engineer almost installed a malware package recommended by an AI agent. The company's policy of…
Anthropic's Claude AI models do not watermark text during proofreading or typo-fixing tasks, according to an analysis by AI expert Lance Eliot in Forbes. The article clarifies that watermarking, if im…
Google is shifting its AI strategy in China, focusing on open-source models and partnerships to compete with domestic rivals like Alibaba and Baidu, according to a Financial Times report. The company …
The Financial Times reports that artificial intelligence is beginning to crowd out other technology investments, with a 'slow sucking sound' as capital and talent are drawn into AI ventures. The artic…
A new arXiv study (2608.18158v1) evaluating LLMs as data quality annotators found that on the Abt Buy entity matching benchmark (2,194 labeled pairs), a rule-based baseline (F1=0.950) performed about …
A new arXiv study (2608.18164v1) found that emoji-augmented prompts expose safety evaluation gaps in large language models, with success rates varying from 0% to 10% across four open-source models. Ge…
A new framework called DART-SD (Diamond-topology Aware Retrieval and Tuning for Self-Distillation) improves multi-turn tool-calling in large language models by shifting from full-trajectory imitation …
Researchers propose Gradient Mirage, a defense against gradient matching attacks (GMAs) in large language model (LLM) split learning, which breaks the gradient-objective consistency that attackers exp…
Researchers introduced AFANet, a lightweight graph neural network framework that matches or outperforms large language model-based baselines in agent failure attribution for multi-agent systems, with …
A new study from researchers including Shayan Shahrabi finds that bitsandbytes 4-bit (INT4/NF4) post-training quantization significantly amplifies proactive interference in large language models, redu…
Aslema, a system developed for the NADI 2026 Shared Task 5, achieved 86.8% intent accuracy and 34.7 WER on the devtest split, and ranked 1st in slot filling (59.5 CoER) and 4th in intent recognition (…
Researchers introduced MemFuseBench, a benchmark for multi-source memory fusion, and MemFuse, a structured memory system that integrates fragmented observations across sources while preserving provena…
A study of Mistral-7B found that demographic identity is readable and faithfully arranged in attention heads, but not causally used, with a single head (L11 H16) faithful across all six attribute type…