AI Weekly Malaysia

This post was originally an op-ed co-authored with Kevin Xu of Interconnected for a general, non-technical audience.

The moment an agent needs to deploy something, it slams face-first into a wall built for humans. Today we're rolling out Temporary Accounts on Cloudflare Workers. Any agent can now run wrangler deploy — temporary and get a live Worker in seconds.

With three hawker concepts under its belt, JOFA is looking to operate its own coffee shop next Most hawkers spend years perfecting a single stall. But for Joel Tan (30), Fabian Lim (30), and Liang Jun Hao (31), one concept was never the end goal. From one mee pok stall in Tampines, the trio has […]

With GLM-5.2 passing everyone's vibe check, the open models story finally becomes a real frontier story.

We break down the technical architecture behind our multi-stage vulnerability discovery harness and automated triage loop. Learn how we manage state controls, squash false positives through adversarial review, and route around LLM context limits.

We talk about how this legendary investor went from humble beginnings in Singapore to leading rounds in Anthropic, Mistral, Black Forest Labs, and Periodic Labs... and the AMP secret master plan!

OpenAI introduces new spend controls and usage analytics for ChatGPT Enterprise, helping organizations manage costs and scale AI with confidence.

To mark the 12th anniversary of Project Galileo, Cloudflare has released its first comprehensive report analyzing cyberattacks against civil society.

Learn how GPT-5.5 Instant improves ChatGPT’s health and wellness responses with stronger reasoning, better context, clearer communication, and physician-informed evaluations.

Disclaimer: Unless otherwise stated, any opinions expressed below belong solely to the author. Employment situation in Singapore remains positive, although the job market is showing signs of cooling in yet another report. According to the latest Q3 release by ManpowerGroup Singapore, the Net Employment Outlook index fell to just 13%, which is the lowest reading […]

Researchers used an OpenAI reasoning model to help diagnose rare diseases, identifying 18 new diagnoses in previously unsolved cases.

The only bootstrapped frontier lab announces its second product and second

Chinese AI lab Z.ai released GLM-5.2 to their coding plan subscribers on June 13th, and then yesterday (June 16th) released the full open weights under an MIT license. Similar in size to their previous GLM-5 and GLM-5.1 releases this is a 753B parameter, 1.51TB monster - with 40 active parameters (Mixture of Experts). GLM-5.2 is a text input only model - Z.ai have a separate vision family most recently represented by GLM-5V-Turbo, but that one isn't open weights. GLM-5.2 has a 1 million token context window, up from GLM-5.1's 200,000. The buzz around this model is strong. Artificial Analysis, who run one of the most widely respected independent benchmarks: GLM-5.2 is the new leading open weights model on the Artificial Analysis Intelligence Index. GLM-5.2 is the leading open weights model on the Intelligence Index v4.1. At 51, it leads MiniMax-M3 (44), DeepSeek V4 Pro (max, 44) and Kimi K2.6 (43) They did however find it to be quite token-hungry: GLM-5.2 uses more output tokens per task than other leading open weights models: the model uses 43k output tokens per Intelligence Index task, up from GLM-5.1 (26k) and above MiniMax-M3 (24k), Kimi K2.6 (35k) and DeepSeek V4 Pro (max, 37k) The model is also now ranked 2nd on the Code Arena WebDev leaderboard, behind only Claude Fable 5. That leaderboard measures "front-end web development tasks, including agentic coding workflows". I'm impressed to see it rank so highly given the lack of image input, which I had incorrectly assumed was a key part of building a truly great frontend coding model. I've been trying it out via OpenRouter, which has it from 9 different providers, almost all of which are charging $1.40/million for input and $4.40/million for output. For comparison, GPT-5.5 is $5/$30 and Claude Opus 4.5-4.8 is $5/$25. Excellent pelican, disappointing opossum GLM-5.1 gave me one of my favorite pelicans and my all time favorite opossum (for the prompt "Generate an SVG of a NORTH VIRGINIA OPOSSUM ON AN E-SCOOTER".) Interestingly, in both of those cases the model chose to return SVG wrapped in an HTML document that added additional animations using CSS. Let's try GLM-5.2. For "Generate an SVG of a pelican riding a bicycle" I got this: It's a self-contained fully animated SVG, and the animations aren't broken! Often I'll see eyes falling off or wheels rotating independently of the bicycle but here everything works great. It's a very nice vector illustration of a pelican too. Very impressive. Sadly, the NORTH VIRGINIA OPOSSUM ON AN E-SCOOTER did not come out nearly as well: This is such a step down from GLM-5.1! As a reminder, that possum looked like this: 5.2 didn't even try to animate it. Tags: ai, generative-ai, llms, pelican-riding-a-bicycle, llm-release, openrouter, ai-in-china, glm

The Agents SDK is now a runtime any agent framework can build on. Today we're opening up the Agents SDK primitives, with Flue as a first framework targeting Agents SDK, and rolling out agents in the dashboard

Radical AI's Joseph Krause on why the moat in materials is the lab, not the model

Research in “Nature” shows our conversational AI system matches primary care physicians in complex disease management.

About 3 years since I started writing weekly.

The Cloudflare One stack is a library of agent skills that gives any AI agent the knowledge it needs to plan, deploy, and manage a Zero Trust environment — no migration calls required.

Watch now | 🎙️Every loop type explained: heartbeats, crons, goals, and subagents. Plus two live Claude Code and Codex builds that run autonomously so you never manually babysit a PR again