OpenAI opens Singapore AI lab as IMDA updates AI framework
OpenAI will open its first Applied AI Lab outside the US in Singapore. The lab is part of a new partnership with the Ministry of Digital Development and Information. The initiative, called OpenAI for Singapore, was announced at the ATx Summit and is backed by a commitment of more than S$300 million. The lab will […]
Musk and Zuckerberg convinced Trump to scrap AI executive order
The ceremony was scheduled. The CEOs were on the guest list. And then it wasn’t happening. On Thursday, US President Donald Trump scrapped a planned AI executive order, which had already been delayed multiple times, citing concerns that it might erode America’s competitive edge over China. “We’re leading China, we’re leading everybody, and I don’t […]
Microsoft Releases Fara1.5: A Family of Browser Computer-Use Agents (4B/9B/27B) That Outperform OpenAI Operator and Gemini 2.5 Computer Use on Online-Mind2Web
Microsoft Research’s AI Frontiers lab released Fara1.5. It is a family of computer-use agent (CUA) models for the browser. The release ships three sizes: Fara1.5-4B, Fara1.5-9B, and Fara1.5-27B. The models are integrated with MagenticLite, Microsoft’s sandboxed browser interface for these agents. Computer-use agents are pixel-to-action models that drive a real browser. They read screenshots and […]
Build Recurrent-Depth Transformers with OpenMythos for MLA, GQA, Sparse MoE, and Loop-Scaled Reasoning
def build_model(attn_type: str = “mla”, max_loop_iters: int = 8) -> tuple: “””Build a small OpenMythos model. Two attention variants supported. MLA — Multi-Latent Attention (compressed KV cache, DeepSeek-V2 style) GQA — Grouped-Query Attention (fewer KV heads than Q heads) “”” base = dict( vocab_size = 64, dim = 128, n_heads = 4, max_seq_len = 32, […]
How CopilotKit Is Redefining the Agentic AI Stack in 2026
For years, AI inside software meant a chat widget bolted onto the corner of an application. You typed, the model responded with text, and you manually translated that output into whatever you actually needed it to do. It was useful the way a calculator is useful: functional, but fundamentally passive. CopilotKit, a Seattle-based startup co-founded […]
Qwen Introduces Qwen3.7-Max: A Reasoning Agent Model With a 1M-Token Context Window
Most AI models today are not designed for sustained, multi-step autonomous execution. Tasks like running hundreds of iterative code modifications, or chaining tool calls across hours without human intervention, require a different kind of model architecture and training focus. Alibaba’s Qwen team formally announced Qwen3.7-Max at the 2026 Alibaba Cloud Summit on May 20. Although, […]
Cohere Releases Command A+: A 218B Sparse MoE Model for Agentic Workflows That Runs on as Few as Two H100 GPUs
Cohere just released Command A+, as an open-source model targeting enterprise agentic workflows. Available under an Apache 2.0 license, Command A+ is a mixture-of-experts (MoE) model built for high-performance agentic tasks with minimal compute overhead. The model is optimized for reasoning, agentic workflows, RAG, multilingual, and multimodal document processing. It unifies capabilities from four prior […]
LLM Themes Are Not Observations
themes from a call corpus to the customer table. Customers without transcripts get NULL. NULL gets filled with zero, or with “no issue mentioned,” or quietly omitted as a reference category. In one line of preprocessing, the pipeline converts did not call support into did not experience billing frustration. The regression that follows looks clean. […]
3 Claude Skills Every Data Scientist Needs in 2026
in 2022, things were wildly different. Kids nowadays don’t know what it’s like. I used to spend hours: Writing Python and SQL code from scratch, line by line Memorizing which libraries to import and what functions they contained (from sklearn.metrics import r2_score) Debugging code errors Writing documentation for my code Building dashboards to analyze large […]
Benders’ Decomposition 101: How to Crack Open a Stochastic Program That’s Too Big to Swallow Whole
In my first TDS post, I a real-world problem into an integer linear program. In my second, I made that program robust against uncertainty. In my third, I introduced stochastic programming: four principled ways to put uncertainty into the model rather than hand-waving it away. The third post ended with a promise. I said two-stage […]