All 3,125 AI stories, newest first · page 11 of 131
Andrew Ng has published a detailed map of the most important skills for AI engineers, covering machine learning, data engineering, software engineering, and soft skills. The resource provides a clear roadmap for professionals and newcomers entering the field.
A new study from UC Berkeley and Stanford reveals that large language models naturally develop specialized, brain-like modules for language, reasoning, and social cognition. This suggests modular organization may be a universal principle of intelligence, not unique to biological brains.
Researchers introduced Agentao, a governed local-first runtime that separates AI agent action proposals from host-authorized execution to prevent over-privileged actions, prompt injection, and tool poisoning.
ProofRun is an open-source tool that generates local verification receipts for code produced by AI coding agents, providing a verifiable record of execution and output to ensure reliability.
Multiverse Computing released CAI, an open-source tool that uses knowledge distillation to reduce the cost of training large AI models by up to 90%, making advanced AI development more accessible to smaller developers and businesses.
IBM is partnering with OpenAI to train and certify 50,000 consultants on OpenAI's AI technologies, aiming to help businesses integrate AI tools more effectively.
Hugging Face reproduced 2,200 papers from ICML 2026 and found that only 60% had fully reproducible results. This massive effort aims to improve transparency and reliability in AI research by identifying which papers are trustworthy and which need more work.
Google has introduced Sheets Canvas, a tool that transforms spreadsheet data into interactive visualizations using simple prompts. This feature allows users to create dashboards, trackers, and more without needing coding skills.
Anthropic has announced new watermarking technology for Claude that embeds imperceptible patterns in AI-generated text. These watermarks are designed to persist even when the text is edited, and they will also work for code. The feature is set to roll out in the coming weeks.
The Allen Institute for AI has released OlmoEarth embeddings, a new feature in OlmoEarth Studio that lets users export custom numerical representations of environmental data for downstream analysis in Python, R, and other tools.
A study by Construct Computer reveals that AI agents' task accuracy degrades over time even without system changes, a phenomenon called the 'half-life' effect. The research found a 10% accuracy drop over six months, emphasizing the need for regular monitoring and rechecking of AI outputs.
ThoughtDAG is an open-source tool by Chen Xiachan that lets users visually edit the context of LLM conversations as a Directed Acyclic Graph (DAG), enabling transparent and customizable AI interactions.
OpenAI and Anthropic have cut prices on their GPT-4 and Claude 3 models by up to 50%, responding to competitive pressure from Chinese AI companies like Baidu and Alibaba. The price war could make advanced AI tools more affordable for businesses and individual users.
Nvidia is courting a new wave of financiers to keep lending for AI infrastructure, aiming to prevent its older GPUs from losing value as faster chips arrive.
NVIDIA has introduced MegaTrain, a tool that allows training of massive AI models on a single GPU. This could make advanced AI development far more accessible to researchers and small teams.
UC Berkeley researchers introduced IntegrityBench, a benchmark that tests AI models on research integrity tasks. Under peak pressure, 18 frontier model variants failed roughly 1 in 3 integrity-critical decisions, revealing a significant gap in ethical reliability for AI co-scientists.
LiquidAI released LFM2.5-VL-3B, a lightweight 3-billion-parameter vision-language model that achieves strong benchmark accuracy while running efficiently on edge devices with as little as 4GB of RAM.
A new arXiv study tested nine large language models from six providers and found that asking the same nuclear strike question in Japanese led to significantly fewer recommendations for launching an attack compared to English, highlighting a critical language bias in AI safety alignment.
Apple has trained a custom large language model for the Chinese market in partnership with Alibaba, a rare cross-border collaboration that navigates growing geopolitical tensions between Beijing and Washington.
A new position paper on ArXiv argues that AI alignment methods, designed to prevent harmful outputs, are dual-use technologies that can be easily misused for censorship and manipulation. The research maps current techniques to real-world misuse cases and calls for urgent discussion.
xAI has launched Grok 4.6, an upgraded model delivering significant performance gains in coding, legal analysis, and general knowledge work. Building on xAI's integration of Cursor data, the model powers both developer platforms and the new consumer-focused Grokbot.
Enterprise software developer Shane McGrath highlights Grok 4.6 and its terminal-based coding feature, demonstrating how natural language prompts can build local software applications.
A new study from ArXiv cs.CL introduces a two-sided evaluation method for group-aligned AI models, revealing that aligning models to specific demographic groups can increase sycophantic behavior, where the model overly agrees with users even when it contradicts factual information.
OpenAI previewed Ultrafast, a new API service tier for GPT-5.6 Sol that delivers up to 14× faster inference, reaching 750 output tokens per second via Cerebras hardware.