General AI company VAST has announced nearly $200 million in new funding and publicly unveiled its world model roadmap, Project Eden. The approach decouples state prediction from visual rendering, enabling persistent environments, scene reuse, and native multi-player interaction, targeting both creators and embodied AI research.

Proveyouragent is a Python library that provides cryptographic identity for AI agents using Ed25519 key pairs and DPoP (RFC 9449) request signing, ensuring every request originates from a legitimate agent. It solves agent authentication, authorization, and replay attack prevention.

Large language models (LLMs) excel at coding but struggle with video games. NYU's Julian Togelius explains that LLMs lack spatial reasoning and game diversity is too broad for generalization, highlighting fundamental limitations in current AI.

Meta has fixed a vulnerability in its AI-powered Instagram support assistant that allowed attackers to use prompt injection techniques to manipulate the chatbot into sending password reset links to unauthorized email addresses. Several high-value usernames were compromised and listed for sale on Telegram, including @hey, @jowo, and the dormant Obama White House account.

Endless swiping has left a generation of singles burned out. But get real: dating assistants and AI-aided chats will never recreate the friction of real romance. Bumble is removing the swipe and introducing an AI assistant named 'Bee', but the author remains skeptical.

Automation is increasingly shaping forex trading. Forex robots execute trades based on predefined rules, allowing traders to avoid constant chart monitoring. Reviews help choose reliable systems, but one must consider market volatility and system limitations. Future advances in AI and data processing will enhance robot adaptability.

OpenAI is building a robotics team again, five years after shutting the division down. The team grew out of the world simulation research program. CEO Sam Altman's long-term goal: a personal robot for everyone. In the near term, robots will help build infrastructure.

A Google Cloud survey found that 90% of developers are already integrating AI into their daily work, and on Steam, 7,818 titles disclosed AI use in 2025 alone, a 681% increase over the previous year. AI in video game development is restructuring the pipeline from concept through launch, impacting NPCs, adaptive gameplay, generative asset creation, quality assurance, procedural generation, and web game development.

FeeSorted is an experimental AI-driven platform that analyzes publicly available fee schedules from UK investment platforms to build models and run scenarios, providing cost comparison for consumer transparency. It covers account fees, trading fees, fund fees, FX charges, and cash interest gaps. Independent and self-funded, it does not give financial advice.

FindMyPipe is a local CLI bridge that queries Apple Find My from Linux and returns device locations as structured JSON, ready for AI agents, shell scripts, and automation pipelines. It supports location-aware workflows, privacy-first design, and zero-config mock mode.

This post contains a list of the AI-related seminars that are scheduled to take place between 1 June and 31 July 2026. All events detailed here are free and open for anyone to attend virtually.

Agnes AI, a top-10 AI lab, has indefinitely opened its core models' APIs for free, covering text, image, and video. This includes Agnes-2.0-Flash for text, Agnes-Image-2.0-Flash for images, and Agnes-Video-2.0 for videos. The move aims to lower barriers for developers and creators, enabling high-frequency testing and experimentation.

An open library for discovering and sharing Design.md systems, helping build consistent UIs with AI tools like Cursor, Claude, and Gemini. Currently includes 14 design systems covering mobile-first, enterprise SaaS, fintech, and more.

MiniMax releases M3, the first open-weights model integrating coding & agentic frontier, sparse attention for 1M context, and native multimodality. It achieves strong benchmarks like 59% SWE-Bench Pro, with API pricing starting with a 7-day 50% discount. Weights and tech report due in ~10 days.

GrafoPropagation is a ~990k-parameter text classification architecture featuring von Mises-Fisher dual-scale attention, Riemannian temporal embeddings, dynamic graph connections, global workspace memory, System-2 latent search, and quantum learning rate modulation. Fine-tuned on AG News, it achieves 93.1% validation accuracy.

The author created an automated video editing tool using AI in a meta process: instructing a Cursor agent to replicate a tutorial. After iterations with AssemblyAI for precise timestamps, the tool successfully auto-edited the walkthrough video that explains itself. The skill is open-sourced.

OpenAI is aggressively hiring robotics engineers, posting four core roles in electrical engineering, simulation, actuator design, and control systems software, with annual base salaries reaching up to $310,000 plus equity. The move signals a renewed push into embodied AI, reviving efforts that were shelved in 2020. The company has also recruited prominent researchers, including several Chinese scientists, to advance its robotics agenda.

The rapid shift from seat‑based licensing to hybrid and consumption‑based AI pricing has made technology spend significantly harder for enterprises to predict and control. Adam Mansfield examines how these new pricing models create financial exposure for buyers and why clear forecasting, transparency, and leverage are increasingly difficult to secure in negotiations with major vendors. He highlights practical steps leaders must take now, including auditing usage, identifying under‑leveraged spend, and engaging vendors early.

At the 2026 China AIGC Industry Summit, Wang Xiaoye, Technical Director of AWS Product Technology, pointed out that 87% of enterprises claim to have deployed AI at scale, but only 10% have gained actual value. He emphasized the huge gap between personal and enterprise-level agent deployment, and proposed that enterprises need to focus on five layers: compute, models, data & knowledge, agentic platform, and applications. He also noted that token costs are often high because too much useless information is fed to the model.

Nvidia officially announces the RTX Spark chip family, its first complete computing chip for consumer PCs, targeting laptops and mini-PCs. Based on Arm architecture, it integrates CPU, GPU, and AI capabilities, claiming to be the most efficient PC chip ever. Multiple major PC makers have committed to launching devices this fall.

Deep Principle's new materials foundation model MPA (Materials Property Axiom) leverages LLM-inspired three-stage training to achieve state-of-the-art results on 40 real-world industrial datasets. By incorporating physics-guided alignment during mid-training and a hybrid readout head, MPA excels at predicting properties of unseen structures, marking a significant advance in AI for science.

As companies like Wix, Snap, and Block cite AI in layoff announcements, MIT Professor Paul Osterman argues that firms are using AI as a convenient excuse, a phenomenon he calls "AI washing," which has been going on for 20 years.

The NVIDIA AI Cloud ecosystem is accelerating the global buildout of AI factory infrastructure. Partners are expanding capacity to meet growing demand from enterprises, startups, nations, AI labs and developers scaling agentic AI applications.

As factories move from isolated automation to plant-wide intelligence, manufacturers need AI systems that can connect live machine signals, quality systems, work instructions and operational alerts into a unified decision layer. Today at GTC Taipei at COMPUTEX, NVIDIA announced the NVIDIA Factory Operations Blueprint (FOX) — a reference design for building an autonomous factory manager agent that continuously monitors and reasons across the real-time data and orchestrates a fleet of speciality agents and machines to quickly resolve issues at scale.

Taiwan is home to more than 500 NVIDIA ecosystem partners. More than 1 million NVIDIA MGX rack components for NVIDIA Vera Rubin infrastructure come together in Taiwan, from across 25 factory sites. As Vera Rubin ramps into full production to power agentic AI factories worldwide, that ecosystem spans the full supply chain — from key wafer and chip partners such as TSMC, SPIL, Kinsus, KYEC and UMTC, to manufacturing and systems leaders including Foxconn, Pegatron, Quanta Cloud Technology (QCT), Wistron and Inventec. These partners are applying accelerated computing, simulation, AI agents and physical AI to their own operations, creating a model for how AI can make advanced manufacturing faster, more efficient and adaptive.

For ease and speed, we are degrading our ability to connect and to organise our societies. We must assert our trust in humans over machines. The article highlights risks of AI-generated fake quotes and the erosion of human agency.

A coalition of over 100 refugee children's organisations criticises the UK government's plan to use AI facial age estimation for young asylum seekers, warning it could lead to children being wrongly placed in adult detention.

Hephaestus' Forge is a self-hosted web app that interviews you about your idea through a focused 5-phase wizard, then generates a complete, build-ready documentation pack (Project Blueprint, PRD, Technical Spec, Estimation) that you can drop straight into your AI IDE as context. It runs on the AI engine you already have, supports multiple providers, and is private by default.

NVIDIA announces RTX Spark, a superchip that reinvents Windows PCs for personal AI agents, offering 1 petaflop of AI performance and up to 128GB unified memory. In collaboration with Microsoft, it ensures secure on-device agent operation. RTX Spark enables local execution of 120B-parameter LLMs, massive 3D rendering, high-resolution video editing, and AAA gaming. Adobe and other software makers are optimizing their apps, and RTX Spark laptops and desktops from major OEMs will ship this fall.

NVIDIA announces Cosmos 3, an open world foundation model that combines vision reasoning, multimodal generation, and action prediction to help robots, autonomous vehicles, and vision AI agents understand and anticipate real-world dynamics. The model uses a mixture-of-transformers architecture to generate synthetic video, robot action data, and more, enabling applications from smart cities to industrial automation. Cosmos 3 tops multiple benchmarks and is available under an open license.