All AI News

Bluesky has launched Attie, an AI-powered app that lets users build custom social feeds using Claude and the AT Protocol. This innovation marks a bold step toward user-controlled algorithmic curation in social media.

The Pretext tool, developed by Simon Willison, exposes how AI systems interpret and respond to deceptive prompts. This investigative analysis reveals the hidden mechanics behind prompt engineering and its implications for trust in AI.

Distillation plays a critical role in the advancement of Chinese large language models, enabling efficiency and scalability amid global AI competition. Experts analyze how model compression techniques are reshaping China's AI strategy.

GPT 5.4 marks a significant leap in Codex’s code-generation abilities, but industry experts and empirical tests show Claude still outperforms in multi-step reasoning and agent workflows. The gap highlights evolving priorities in AI autonomy.

A new HTML tool called Python Vulnerability Lookup enables developers to quickly identify known vulnerabilities in Python dependencies by querying the OSV.dev API. This innovation strengthens supply chain security by automating vulnerability detection from pyproject.toml and requirements.txt files.

New research reveals that OpenClaw, an emerging AI framework, improves autonomously through user interaction. The study, published on arXiv, challenges conventional training paradigms by demonstrating emergent performance gains without retraining.

Agentic AI systems are undergoing a paradigm shift as automated state mutation and self-correction replace manual tuning. A-Evolve, a new framework from Amazon researchers, is being hailed as the PyTorch moment for autonomous agent development.

MicroCoder has shattered longstanding code model training bottlenecks by applying 34 refined algorithmic practices derived from real-world developer workflows. This breakthrough bridges the gap between theoretical AI training and practical software engineering.

A groundbreaking AI-powered 3D building editor has surged in popularity on GitHub, enabling seamless 2D-to-3D design workflows and challenging expensive professional software. Developed with agentic AI capabilities, the tool is reshaping architectural and urban planning workflows.

Becoming an AI engineer requires more than quick tutorials—it demands deep technical mastery, hands-on projects, and understanding of infrastructure demands. Discover the real path to this high-demand role.

Despite AI tools boosting efficiency, workers report higher workloads and rising expectations. This AI productivity paradox reveals a troubling trend: increased capacity isn't reducing burden—it's redefining normal output.

AI facial recognition wrongly identified Angela Lipps, a Tennessee woman, as a suspect in North Dakota crimes she never committed. The case highlights systemic flaws in law enforcement’s use of unregulated biometric technology.

AI-assisted dog cancer vaccine claims have gone viral, promoted by top AI executives—yet there is no scientific evidence the treatment worked. Critics warn of dangerous precedent in overstating AI’s medical capabilities.

The agent era is officially underway, as AI-driven autonomy reshapes industries from real estate to biotech. With humans and machines collaborating in unprecedented ways, the future of labor is being rewritten.

Eine virale Geschichte behauptet, ein australischer KI-Berater habe mit ChatGPT, AlphaFold und Grok einen Impfstoff gegen Hunde-Krebs entwickelt. Wissenschaftler warnen vor unbewiesenen Ansprüchen und warnen vor der Verwechslung von KI-Generierung mit klinischer Validierung.

Eli Lilly has signed a $2.75 billion deal with AI-driven drug developer Insilico Medicine, marking one of the largest partnerships in AI-powered pharmaceutical research. The collaboration will accelerate the discovery of novel therapeutics using Insilico’s Pharma.ai platform.

Eli Lilly has entered a landmark billion-dollar partnership with Hong Kong-based AI pharmaceutical firm Insilico Medicine to accelerate drug development using artificial intelligence. The collaboration signals a major shift in how global pharma companies leverage machine learning for innovation.

The MetaClaw framework trains AI agents during scheduled meetings by syncing with Google Calendar, optimizing machine learning without user intervention. This innovation leverages idle time to enhance AI performance while preserving privacy and productivity.

Concerns are mounting over the visual understanding capabilities of frontier AI models after reports reveal top-performing systems achieving high scores on medical image benchmarks without accessing any images. Experts warn of systemic flaws in evaluation protocols.

Protesters staged a powerful demonstration outside Palantir’s Aventura office, accusing the tech giant of enabling ICE surveillance and human rights abuses. The action echoes similar protests at ICE-linked facilities across the U.S.

MetaClaw, a groundbreaking AI agent, leverages user Google Calendar data to determine optimal training windows, enhancing efficiency without manual intervention. The system integrates behavioral signals to autonomously refine its capabilities.

The LTX 2.3 Reasoning LoRA is generating buzz for its subtle yet significant improvements in AI-generated facial expressions. Users report more natural micro-expressions and precise timing aligned with spoken dialogue.

Social media addiction lawsuits against Meta and Google have resulted in landmark liability rulings, sparking global debates over platform responsibility and child safety. As nations consider age bans, the science behind digital addiction remains contested.

Miasma is a new open-source tool designed to trap AI web scrapers in an endless loop of deceptive content, effectively poisoning their training data. Developed by Austin Weeks, the tool exploits how AI models parse and index web pages.