Graphenium is an open-source local trust layer that gives AI coding agents a structured memory of the codebase. It builds a trusted dependency graph, helps agents plan edits, and verifies changes after editing. Fully local, supports multiple languages.

AI coding agents are leaving configuration files, logs, and helper artifacts in codebases that leak secrets via npm packages, GitHub, and web assets. Research shows widespread exposure, with recommendations for mitigation.

PixelGlass is an AI agent that builds unique Ghost blog themes from simple descriptions, with no lock-in or subscription.

FaultFixer is a tool that adds self-healing capabilities to websites and apps with a single line of code. It uses AI to detect front-end and back-end errors, diagnose root causes, and deliver fixes directly to your AI coding tools via MCP. Currently free, with paid plans possibly introduced later after notice.

Large-scale datacentre projects around the world are being challenged or cancelled, as infrastructure’s energy demands ramp up.

We’re announcing new capabilities in Managed Agents in Gemini API so developers can build reliable, production-ready agents.

This article examines how the remarkable progress of AI is underestimated or overlooked by society, arguing that we are already living in an AI-driven utopia, but public focus remains on negative aspects rather than positive transformations.

This article traces the history of AI safety concerns from Norbert Wiener's 1949 letter to the present, arguing that the feedback loop of technological development consistently filters out warnings about displaced labor and concentrated power.

Keeping your team, agents, and data on one page.

A Financial Times journalist ponders the future of labour in a world increasingly dominated by AI and automation, drawing on historical parallels to argue that many threats to workers’ dignity are reconfigurations of old battles.

Hong Kong's stock market may face selling pressure as lock-up periods end for AI firms like Zhipu AI and MiniMax, releasing a torrent of shares. Analysts warn of liquidity drain due to potential secondary placements. Historically, stocks decline 4-7% within 3-6 months after lock-up expiry.

Nvidia has introduced a GPU rental backstop program to address financing bottlenecks in AI compute, aiming to broaden access and support market diversification. By providing minimum revenue guarantees to neoclouds, Nvidia facilitates debt financing, enabling shorter-term rentals and expanding the buyer base. The article forecasts AI capex and debt financing growth, and analyzes Nvidia's strategic move to reshape the GPU market structure.

Monetize any MCP server in 5 minutes with no % skim.

This video explores how AI tools affect the mental development of beginner programmers, highlighting both benefits and risks.

We predict that superhuman AI will have an enormous impact over the next decade, exceeding that of the Industrial Revolution. Written by a team of experts including former OpenAI researcher Daniel Kokotajlo, the scenario is informed by trend extrapolations, wargames, expert feedback, and previous forecasting successes. The article provides a concrete and quantitative scenario for AI development through 2027, with two endings, and encourages debate and alternative scenarios.

One of the largest fertility studies has found that air pollution appears to alter how sperm genes function, with subtle DNA changes affecting gene activation and raising concerns about male fertility harm.

AI has become an industry of lies, filled with overpromising and underdelivering. This article provides practical advice for people leaders on adopting AI, focusing on costs, consumption-based pricing, token optimization, and leveraging competition to make informed decisions.

A 1.6T MoE model trained entirely on AI ASICs, setting new benchmarks in training efficiency.

Australia's assistant minister for technology Andrew Charlton warns that AI models are 'cheating, deceiving and going their own way' as the federal government's AI Safety Institute begins testing the latest models.

NVIDIA and Hugging Face collaborate to integrate the NVIDIA Isaac GR00T 1.7 model and Isaac Teleop framework into LeRobot, with NVIDIA Cosmos 3 planned soon. These integrations provide developers with a more accessible and standardized path for robot development, driving innovation in the open robotics community.

Tencent's Hy team released Hy3, a 295B-parameter Mixture-of-Experts model that activates only 21B parameters per token. It is available under Apache 2.0 license with a 256K context window, targeting reasoning, agentic, and long-context tasks. Hy3 scores 78.0 on SWE-Bench Verified and lower hallucination rates. Free tier available on OpenRouter until July 21, 2026.

A deep dive into the core mechanics of LLMs: next-token prediction, training via backpropagation, logits and softmax, the role of temperature, and the probabilistic nature of outputs. Explains why models hallucinate, how chain-of-thought prompting improves accuracy, and what it means for a model to 'know' something.

sqlite-utils 4.0rc4 is the last release candidate before the 4.0 stable release, mainly implementing feedback from a detailed review by Claude Fable 5.

The article explores the challenges of building real-time voice AI for low-resource languages like Azerbaijani, comparing end-to-end speech-to-speech models (OpenAI Realtime, Gemini Live) and cascaded pipelines (LiveKit, Pipecat, Vapi). It details failure modes, component availability, and provides a checklist for evaluation. Key findings: Gemini Live spoke well but was too slow; OpenAI Realtime had accent issues. Available components include Azure TTS, ElevenLabs, and Scribe v2. The cascaded stack offers flexibility but requires engineering latency.

An interactive report from May 2026 analyzes AI search visibility for Australian general insurance brands, enabling head-to-head comparisons between two brands.

Covering Thariq's talk on Fable: unhobbling models, finding unknowns, emotional shifts, and being unreasonable. Plus AI news: Tencent Hy3 open-source, agent benchmarks, Anthropic J-Space, inference efficiency, world models, and speech.

OpenAI has introduced two new Realtime models for low-latency voice and multimodal applications. The gpt-realtime-2.1-mini is a reasoning model priced like its predecessor, while p95 latency is cut by at least 25% via improved caching. This article covers model details, pricing comparisons, and WebRTC integration.

This paper presents a robust nonlinear lateral control framework that accounts for varying longitudinal speed and acceleration, addressing limitations of existing constant-speed assumptions and parameter uncertainties. It derives a tracking error model, uses feedback linearization, and proposes two robust designs: Lyapunov redesign and incremental nonlinear dynamic inversion. Simulations and real-vehicle tests demonstrate enhanced tracking accuracy and robustness.

This paper addresses sampling-based motion planning for continuous-time stochastic systems under process and measurement uncertainty, with probabilistic guarantees on safety and performance. It models robot dynamics as a continuous-time linear stochastic differential equation and uses discrete-time sensor measurements. A hybrid belief propagation model is derived, where belief evolves via continuous-time ODEs between measurements and undergoes discrete Kalman filter updates at measurement times. A belief-barrier-function-based safety checker enables segment-level probabilistic verification, detecting inter-sample chance-constraint violations missed by conventional node-based checks. The method is integrated with RRT and SST planners and evaluated on benchmark environments, showing high success rates and robust chance constraint enforcement, especially in narrow passages where discrete-time methods fail.

DREAMSTEER is a deployment-time steering framework for pretrained vision-language-action (VLA) policies that requires no finetuning. It leverages a latent world model and a value model to sample, imagine, and rank candidate actions, significantly improving task success rates and instruction-following accuracy.