In an interview with Ars Technica, Claude Code product lead Michael Wu discusses usage limits, transparency, and the philosophy behind the tool's lean design. He explains that while token efficiency matters, maintaining model intelligence is the top priority. Wu reveals that common usage issues stem from cache invalidation during long sessions, and the team has introduced notifications and the /usage command to improve transparency.

This article explores how AI agents are transforming the way developers discover and evaluate tools like databases, using ScyllaDB as a case study. A community-driven MCP server enables AI-native distribution, allowing agents to perform side-by-side comparisons and developers to validate recommendations with real data. The traditional multi-day evaluation process is compressed to minutes. The article also discusses the evolution of the developer journey in the agentic era and proposes a new technology adoption lifecycle model.

Datadog releases Toto 2.0, an open-weights time series foundation model family ranging from 4M to 2.5B parameters. Results show consistent performance improvements with scale, achieving state-of-the-art on BOOM, GIFT-Eval, and TIME benchmarks. Compared to Toto 1.0, parameter efficiency improves 7x with dramatically faster inference. Trained solely on observability and synthetic data without any public datasets, yet generalizes broadly.

A free AI startup validator that scores ideas across 8 dimensions, along with other tools like elevator pitch generator, SWOT analysis, etc. A dog walking app scored 4/10.

This article explores the concept of Agent Harness Engineering, emphasizing that the scaffolding (prompts, tools, context policies, hooks, sandboxes, etc.) around an AI model is often more critical to agent performance than the model itself. It details harness components, the 'ratchet' of turning mistakes into permanent rules, and strategies for long-running tasks.

This article explores the concept of Agent Harness Engineering, emphasizing that the scaffolding (prompts, tools, context policies, hooks, sandboxes, etc.) around an AI model is often more critical to agent performance than the model itself. It details harness components, the 'ratchet' of turning mistakes into permanent rules, and strategies for long-running tasks.

China's short drama industry is embracing generative AI to produce content faster and cheaper. The market reached $69 billion in 2024, surpassing box office revenue. AI cuts costs by 80-90%, with 470 AI-generated dramas released daily. Production teams shrink to 10 people, and writers adapt to writing for AI models. The global microdrama market is projected to reach $14 billion by 2026.

The increasing quality of AI-generated research papers is overwhelming the peer-review system. Editors and reviewers face a flood of submissions that are plausible yet useless, and the crisis is expected to worsen as AI tools improve.

Federated unlearning allows removal of user data from trained AI models to enhance privacy, but research reveals it introduces new security vulnerabilities, including potential for attackers to inject hidden backdoors and then request unlearning to cover tracks. Current methods lack verification, risking system integrity.

OrcaSheets is a local-first AI data analytics engine capable of processing billions of rows.

Huawei Cloud's INSPIRE conference agenda reveals a full-stack Agentic AI strategy covering infrastructure, model training, enterprise agent platform, security, and industry applications, marking a shift from model-centric to agent-driven AI.

A single ~7,600-line Markdown bootstrap file (AI_PROJECT_SETUP.md) automates the setup of AI coding assistants including Claude Code, ChatGPT Codex CLI, Cursor, and GitHub Copilot. It generates 13-section rules, safety hooks, session resume, dual-write memory, bilingual GitHub files, and more. Just download the file, tell your AI to read and execute it, and within 1-3 minutes you have a complete, gitignored AI tooling configuration.

BBC investigation reveals dozens of Facebook and Instagram accounts run from overseas, using AI-generated videos to spread anti-immigration narratives about UK decline. Creators are located in Sri Lanka, US, Europe, and elsewhere, often for profit or political motives. Experts warn that AI fakes erode trust in authentic content.

Describe your needs, and Qoder will help you achieve them.

AI access doesn't guarantee productivity gains. It can create coordination costs, polished noise, and misaligned incentives. The key is using AI to reduce work, not just to produce more.

LobeHub launches CAO (Chief Agent Operator), a system that assembles AI agent teams from 273K+ skills and 51K+ MCP servers based on a single goal, runs tasks in parallel on the cloud, and delivers daily briefs via Slack, WeChat, and other channels.

RelaxAI is a UK sovereign LLM inference service claiming 80% cost savings compared to OpenAI/Claude. Its documentation redirects to a getting started guide.

Daft's new native ASOF join aligns time series data efficiently, with optimizations from V1 to V3 achieving 6x speedup and halved memory, and a distributed V4 using range partitioning to handle data skew.

Canadian AI firm Cohere takes a different path from Silicon Valley, focusing on profitability rather than hype and conflict.

A 15,000 sq metre datacentre near Perth, intended for cloud computing and AI, has been withdrawn after community backlash over its impact on culturally significant sites.

Nearly five years into his tenure as Amazon CEO, Andy Jassy is making unprecedented bets on artificial intelligence, including up to $50 billion in OpenAI, $13 billion in Anthropic, and a staggering $200 billion in capital expenditures for 2026. With AI driving the future of cloud computing, Jassy is reshaping Amazon's strategy to dominate the AI infrastructure market, all while maintaining his frugal, everyman persona.

Lawyers for Elon Musk and OpenAI presented closing arguments Thursday in a blockbuster trial where the verdict could hobble ChatGPT's parent company in the breakneck race for AI supremacy.

This video demonstrates how to build a real-time inference stack on AMD Instinct GPUs, covering hardware setup, software optimization, and performance tuning.

NASA is testing a next-generation space computer chip that could give spacecraft the ability to operate far more independently in deep space. The radiation-hardened processor is showing performance levels hundreds of times beyond current spaceflight computers while surviving punishing tests designed to mimic the harsh conditions of space. The technology could enable AI-powered spacecraft, faster scientific discoveries, and smarter missions to the Moon and Mars.

At the 2026 MediaTek Dimensity Developer Conference, MediaTek unveiled its full-stack enabler strategy, leveraging the Dimensity 9500 dual-NPU architecture, the AI Agent Engine 2.0, and the AI Developer Kit 3.0 to overcome challenges in power efficiency, system coordination, and ecosystem fragmentation, accelerating the widespread deployment of agentic AI on edge devices.

Alibaba has launched Qoder 1.0, upgrading from an AI IDE to an autonomous development workbench. The new platform introduces the Quest independent window for task management, status tracking, artifact review, and knowledge invocation. Users define requirements, and the Agent team autonomously handles execution, verification, and delivery. Key features include cross-project parallel tasks, a unified knowledge engine integrating Memory, Repo Wiki, and Knowledge Cards, leading to an 11% increase in code retention, 40% reduction in token consumption, and 33% fewer conversation rounds. Qoder 1.0 is now available on Windows, macOS, and Linux.

Ant Group's Bailing releases open-source reasoning model Ring-2.6-1T, featuring on-demand reasoning with adjustable effort, scoring 95.83 on AIME 26, and trained with asynchronous reinforcement learning.

Enterprises are rethinking the trade-off of using third-party AI models as agentic systems advance. An EDB survey reveals 70% of executives believe a sovereign data and AI platform is critical. Industry leaders like Kevin Dallas and Jensen Huang argue for reclaiming control over models and data to protect intellectual property and national interests.

Cerebras Systems raised $5.55 billion in its IPO on May 15, 2026, achieving a market cap of over $66 billion. The company, founded in 2015, bet on wafer-scale AI accelerators and has evolved through multiple chip generations, establishing a strong inference business. Despite competition, it plans future upgrades including the WSE-4 and strategic collaborations.

Supertone releases third-generation on-device TTS engine with 31 languages, improved reading stability, expression tags, and v2-compatible interface. The model has ~99M parameters and 404 MB ONNX assets, featuring built-in text normalization and competitive WER/CER against larger models.