The OpenAI trial wraps up, and the Musk founder machine keeps spinning
The Musk v. Altman trial came to a close this week, and the final arguments kept circling back to one question: can we trust the people in charge of AI? All of this is playing out as SpaceX charges toward what could be one of the largest IPOs in American history, with a whole generation of founders ...
AI Quantum Intelligence - Pic of the week (2026-05-15)
A powerful illustrated allegory charting humanity's journey from raw physical labor to cognitive dependency on AI. This triptych explores the irony of strengthening our machines while weakening our own minds and bodies. There is nothing better for the body and the mind than to exercise and use both....
Runway started by helping filmmakers. Now it wants to beat Google at AI.
AI video generation startup Runway is betting that video generation is the path to world models. And that being an AI outsider is an advantage, not a liability.
This article was originally published on Addy Osmani’s blog. It’s being reposted here with the author’s permission. Roughly: Anytime you find an agent makes a mistake, you take the time to engineer a solution such that the agent never makes that mistake again. We’ve spent the last two years arguing ...
Supertone Releases Supertonic v3: On-Device Text-to-Speech Model with 31-Language Support, Fewer Reading Failures, and Expression Tags
The Seoul-based speech AI company ships its third generation of its on-device TTS engine, adding expressive tags, improved reading stability, and a 6× increase in language coverage — all while keeping the inference contract unchanged for existing integrations.
The post Supertone Releases Supertonic ...
Poetiq’s Meta-System Automatically Builds a Model-Agnostic Harness That Improved Every LLM Tested on LiveCodeBench Pro Without Fine-Tuning
Poetiq's Meta-System automatically constructed and optimized an inference harness for LiveCodeBench Pro using only Gemini 3.1 Pro — no fine-tuning, no model internals. The same harness, applied without modification to GPT 5.5 High, Kimi K2.6, Gemini 3.0 Flash, and four other models, improved every o...
Building a safe, effective sandbox to enable Codex on Windows
Learn how OpenAI built a secure sandbox for Codex on Windows, enabling safe, efficient coding agents with controlled file access and network restrictions.
Preview a new personal finance experience in ChatGPT for Pro users in the U.S. Securely connect your financial accounts and get AI-powered insights and guidance grounded in your financial context, goals, and priorities.
Cline Releases Cline SDK: An Open-Source Agent Runtime Now Powering Its CLI and Kanban, With IDE Extensions Being Migrated
Cline has extracted its internal agent harness into an open-source TypeScript SDK called @cline/sdk, the same runtime now powering its CLI and Kanban, with VS Code and JetBrains extensions being migrated. The SDK is structured as a four-layer stack — @cline/shared, @cline/llms, @cline/agents, and @c...
Elon Musk’s SpaceXAI has been bleeding staff since its merger
More than 50 employees have reportedly left Elon Musk’s newly merged SpaceXAI since February, raising questions about burnout, leadership changes, talent poaching, and whether liquidity events weakened retention incentives.
Richard Socher's new $650 million startup wants to build an AI that can research and improve itself indefinitely — and he insists it will actually ship products.
Establishing AI and data sovereignty in the age of autonomous systems
When generative AI first moved from research labs into real-world business applications, enterprises made a tacit bargain: “Capability now, control later.” Feed your proprietary data into third-party AI models, and you will get powerful results. But your data passes through systems you do not own, u...
Data readiness for agentic AI in financial services
Financial services companies have unique needs when it comes to business AI. They operate in one of the most highly regulated sectors while responding to external events that are updated by the second. As a result, the success of agentic AI in financial services depends less on the sophistication of...
Nous Research Releases Token Superposition Training to Speed Up LLM Pre-Training by Up to 2.5x Across 270M to 10B Parameter Models
Nous Research releases Token Superposition Training (TST), a two-phase pre-training method that cuts wall-clock training time by up to 2.5x at matched FLOPs by averaging contiguous token embeddings into bags during Phase 1 and reverting to standard next-token prediction in Phase 2 — without changing...