709 stories curated by AInformed · page 17 of 30
OSymandias is a new open-source runtime that lets developers build and run AI systems with multiple agents working together. It simplifies creating complex AI workflows that previously required expensive tools.
Khwand is a new GitHub app that automates testing and fixing AI agents. It promises to make developing AI-powered tools more reliable for developers.
Amazon is reportedly investigating engineers who publicly criticized the company's plans to expand AI data centers. This highlights growing internal tensions over AI's environmental and ethical impacts.
Some Russian families are using AI to recreate the voices of loved ones killed in the Ukraine conflict. This technology allows them to hear personalized messages from those they've lost, though it raises ethical questions.
Retool has introduced an AI tool that lets anyone build React apps without coding. This could make custom business tools much more accessible to small teams and startups.
A Hacker News thread reveals how developers choose AI models for daily features like content generation and recommendations. Many focus on cost, speed, and ease of use over cutting-edge performance.
Researchers used AI coding agents to autonomously direct robots through complex tasks like installing GPUs and cutting zip-ties. This breakthrough could reduce the need for manual programming in manufacturing and other industries.
An AI agent is now hiring humans to handle tasks like shipping user-generated content (UGC) videos, paying them at rates competitive with AI services. This blurs the line between human and AI labor in the gig economy.
Transpilatron is an AI tool that converts Python code into C binaries, making it easier to run Python programs on devices with limited resources. This could be a game-changer for developers working with embedded systems or older hardware.
A new study demonstrates that AI models can pick up subtle biases or 'vibes' from training data without being directly taught. This raises important questions about fairness in AI systems.
A German court ruled that Google can be held responsible for false information generated by its AI. This sets a legal precedent for tech companies' accountability in AI outputs.
A new wave of AI agents is emerging that uses file systems as their core primitive for managing tasks and data. This architectural shift could make agents more capable, transparent, and practical for everyday users.
Cartesia AI has released new state-of-the-art models for text-to-speech (TTS) and automatic speech recognition (ASR), setting new benchmarks in accuracy and efficiency. These models could make voice technology more reliable and accessible for everyday users.
A leading AI deepfake expert admits that advanced AI-generated fakes have made him question even his own memories. This highlights how deeply AI is changing our relationship with reality.
Fable 5, a new AI model, has scored as high as GPT-5.5 in a coding performance test. This means everyday users may soon have more affordable options for AI-powered coding help.
A new bipartisan AI bill aims to regulate AI development while fostering innovation. The draft focuses on transparency, safety, and accountability in AI systems. The draft of the bill is available as a PDF.
OpenAI's June 2026 report highlights emerging threats from AI misuse, including deepfakes and automated hacking. The report also outlines steps to mitigate these risks and improve AI safety.
A hacker who previously worked with Elon Musk on Tesla security is launching a new AI-powered cybersecurity startup with $100 million in funding. The company aims to create an autonomous AI agent that can detect and respond to cyber threats in real-time.
Canada's Privacy Commissioner found that X.ai/Grok violated federal privacy law by failing to prevent its AI from generating child sexual abuse material (CSAM). The case highlights urgent ethical concerns about AI-generated content and the need for robust safeguards.
OpenAI has identified PRC-linked influence operations actively participating in US discussions about AI regulations. These groups are using social media and other tactics to sway public opinion and policy decisions on AI governance.
Malware developers are adding text about nuclear and bioweapons to their code to trigger AI safety refusals. This tactic allows them to bypass detection mechanisms in AI systems designed to prevent harmful content.
China is preparing a $295 billion plan to fund a nationwide AI infrastructure buildout, aiming to accelerate AI adoption across industries and regions.
Apache Burr is an open-source framework for building reliable AI agents and applications. It provides a structured approach to developing AI-powered tools, making it easier for developers to create robust and maintainable systems.
X is experimenting with AI tools to help small businesses create ads. This could make advertising more accessible and affordable for local shops and entrepreneurs.