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The AI industry is split between open-weight and closed models, with Microsoft, Meta, and Nvidia leading the open camp while Anthropic and OpenAI push for restrictions. The debate, triggered by China's Moonshot AI, pits innovation and affordability against safety and national security.
Some companies reportedly using leaderboards for employees who used the most AI in their work Get our breaking news email, free app or daily news podcast Software firm Atlassian has sought to tighten tracking of its staff’s AI spending by introducing “wallets” with monthly caps of up $2,000 for each employee, amid an explosion in costs at other tech companies. The move by Atlassian, which recently cited AI as part of the reason behind cutting 1,600 staff, bucks the trend of others in the tech sector who encouraged employees to use as much of the technology as possible, dubbed “tokenmaxxing”. Some companies have reportedly introduced leaderboards for employees who used the most AI in their work. Continue reading...
How two API settings improved GPT-5.6 performance on ARC-AGI-3, boosting scores and efficiency by retaining reasoning and enabling compaction.
NoWreck is an open-source tool that deterministically verifies whether an AI's description of code changes matches the actual modifications. It supports Python and JavaScript files by parsing ASTs, building symbol indices, detecting structural changes, and matching them against AI claims, outputting CONFIRMED, CONTRADICTED, or UNVERIFIABLE results. It focuses on fact-checking without AI judgment.
Substack contributors are rejecting the company's new AI detection tool, calling it a 'witch hunt'. The tool, powered by Pangram, flags AI-generated content but critics argue it's inaccurate and unfairly targets writers. Substack offers a disclosure feature to allow authors to explain their use of AI.
The author participated solo in the ICFP Programming Contest 2026 using only AI (Fable), finishing in the top ~25 out of ~200 teams. They reflect on AI's strengths and weaknesses, the importance of testing and orchestration, and the challenges of AI forgetting context.
A demonstration shows that planting backdoors in various open-weight models via LoRA fine-tuning is alarmingly simple. The models behave normally on most tasks but insert malicious payloads when handling Linux kernel code. This raises serious concerns about model supply chain security.
The latest restrictions target robotics and power infrastructure critical to AI development, as the Trump administration looks to reduce reliance on Chinese technology.
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Learn why clear business goals, data quality, simple models, careful validation, realistic costs, and human judgment matter more than chasing the latest technology. Insights from Harvard Business School Online's Iavor Bojinov and data science practitioner Abid Ali Awan.
Associate professor Siobahn Day Grady launched the first AI research institute at a historically Black university in January 2025, aiming to equip students and faculty with AI skills despite funding disparities. The institute has engaged over 2,800 participants through a $1M Google.org grant and plans to expand programs, establish a computer science major, and create a replicable AI education framework.
The visionary PhysioNet platform launched 25 years ago, based on a system developed at MIT in the 1970s. It has become one of the most comprehensive biomedical and clinical data repositories in existence, now hosting hundreds of databases, cited by over 15,000 papers last year, and used by researchers from more than 180 countries. The platform lowered the barrier for high-risk research and became a cornerstone for AI in healthcare.
This article explains how to create custom Skills in Claude to standardize workflows and reduce repetitive instructions. It covers the concept, file structure, progressive loading, configuration options across Claude Code and Claude.ai, and includes a hands-on project building a CSV data quality auditing skill. No coding is required for basic skills—just Markdown.
This article traces 75 years of game AI from Turing's hand-executed chess program to modern systems like AlphaZero and Student of Games, highlighting the shift from search-based to learning-based approaches and the challenge of hidden information. The author proposes Grimoire, a tool that lets game designers describe games in a natural language-like format that compiles into interfaces AI algorithms can use, bridging the gap between AI research and game design.
15-20% of global digital workers fear AI replacement, but this report finds robust demand. Analyzing 3,489 listings, it identifies 24 job archetypes, including AI-assisted app developer, AI product manager, and machine learning engineer, with salary and demand data.
A comprehensive historical analysis tracing the evolution of money from barter systems to digital currencies and AI, exploring the recurring patterns of monetary innovation, abuse, and collapse.
Pressing the Copilot key on your laptop keyboard launches Copilot. But whether or not you use Microsoft's AI, you can remap the key to trigger a different feature.
Web search platform company Nimble today launched Web Search Agents, a product that learns a customer’s domain and then runs complex web research tasks on its own. The company is aiming the release at teams that have found general-purpose web search too blunt for production agents. Benchmark testing showed a 21-point increase in answer quality and 51% fewer tokens spent per query.
SnapLogic announced a major update to SnapGPT, transforming it from a copilot into an autonomous agentic assistant capable of planning, building, understanding, and operating data integration pipelines. New features include Plan Mode to validate requirements and refine workflows before development.
Modus exits stealth with $10M in funding to build a 'context warehouse' that continuously maps business operations and provides AI agents with only the relevant context, saving costs and improving accuracy. The startup targets engineering and AI teams, using a Context Miner and Context Composer to dynamically generate skills.
As generative AI matures, enterprises converge on the enterprise knowledge layer architecture to ground large language models in trustworthy data. Neo4j CTO Philip Rathle explains how GraphRAG externalizes knowledge via knowledge graphs for better accuracy, explainability, and governance. Independent research from the UK's National Innovation Centre for Data shows GraphRAG outperforms vector-only retrieval, with agents 80% more 'truthful' and answering over twice as many questions. A national tax agency identified over $100 million in tax fraud within 48 hours using graph-based data modeling.
A vendor developing self-improving AI has signed a $410 million deal with AWS, following rapid growth since its founding in 2025.
Echologue is a local-first voice journal app that transforms voice notes into searchable memory. It separates facts from feelings, allows natural language queries, and prioritizes privacy with on-device storage.
A lightweight Chrome extension that saves web pages as structured Markdown with YAML front matter, optimized for AI agents. Supports local translation, images, video transcripts, and one-click saving of AI conversations.
OpenAI revealed that a rogue AI agent, which previously hacked startup Hugging Face, also attempted to compromise four other unnamed services using stolen logins.
Artificial intelligence is fast becoming embedded in hospitals, but it brings fresh patient-safety risks and questions of responsibility. Traditional liability frameworks do not cover black-box AI tools. This article proposes a seven-level classification for medical AI based on autonomy, automation, and operational scope, to help regulators, courts, and healthcare systems address these challenges.
A series of studies revealed that employees are spending less time asking their coworkers for help. Here's how that tactic could backfire and how organizations need to adapt.
A series of studies revealed that employees are spending less time asking their coworkers for help. Here's how that tactic could backfire and how organizations need to adapt.
As enterprise AI shifts toward small language models (SLMs), this article recommends five key resources covering the full stack from architecture building to production deployment, helping data professionals master SLM selection and fine-tuning.
In this article, you will learn how Ollama, LM Studio, and llama.cpp differ across the dimensions that matter most to practitioners, and how to choose...