NVIDIA open-sources SANA-WM; Brockman unifies ChatGPT + Codex at OpenAI

NVIDIA Labs released SANA-WM, an open-source 2.6 billion parameter world model under Apache 2.0 that generates one-minute videos at 720p resolution with 6 degrees of camera-pose control. The team reports training on roughly 213,000 video clips in 15 days on 64 H100 GPUs, and says a distilled variant runs on a single consumer GPU. The paper positions SANA-WM as a baseline for embodied-AI and robotics research at a fraction of closed-model compute budgets.

OpenAI permanently handed product strategy to co-founder Greg Brockman, who confirmed plans to merge ChatGPT, Codex, and the developer API into a single platform aimed at "the agentic future." Codex engineer Thibault Sottiaux will run the combined core product across consumer, enterprise, and developer surfaces. The reorganization lands three days before Google I/O 2026 and is widely framed against a potential OpenAI initial public offering before year-end.

Malta and OpenAI announced a partnership making the island nation the first country to offer free ChatGPT Plus to every citizen and registered resident. Eligibility requires completing AI for All, an online AI-literacy course developed by the University of Malta, with the Malta Digital Innovation Authority managing distribution. Subscriptions run for one year starting in May 2026; the deal is the first under OpenAI's OpenAI for Countries initiative, which aims to anchor national AI adoption around ChatGPT.

After months of community work, multi-token prediction (MTP) speculative decoding landed in llama.cpp. Benchmarks on the merged pull request show Qwen 3.6's 27 billion parameter variant jumping from 7 to over 21 tokens per second on code tasks, with RTX 3090 setups seeing roughly a 1.85-times lift in generation throughput. The merge unblocks faster local inference on consumer GPUs and Strix Halo machines, though prompt processing and Apple Silicon backends still need optimization.

In a TechCrunch interview, Menlo Ventures partner Deedy Das argues that roughly 10,000 founders and employees at OpenAI, Anthropic, NVIDIA, Meta, and xAI have crossed 20 million dollars in personal wealth over the past five years — while engineers earning under 500,000 dollars a year increasingly fear they cannot get there from here. Das calls the split in San Francisco "the worst I've ever seen" and ties the gap to a broader "deep malaise about work" pervading even well-paid technical roles in the AI era.

ArXiv's computer science section announced authors will face a one-year submission ban — followed by a permanent requirement that subsequent papers first clear a reputable peer-reviewed venue — when a paper carries "incontrovertible evidence" that authors did not check LLM output. Section chair Thomas Dietterich flagged hallucinated references and stray meta-comments from chatbots (such as "would you like me to make any changes?") as triggering evidence. The rule isn't a blanket LLM ban; it formalizes a full-responsibility standard regardless of how content was generated.