Singapore AI News & Daily Briefing

Speaking at Tech Week Singapore, Senior Minister of State Tan Kiat How said the next phase of AI adoption will depend on organisations being able to [deploy, govern and trust AI in real-world environments](https://www.mddi.gov.sg/newsroom/opening-address-by-sms-tan-kiat-how-at-tech-week-singapore/). His remarks outlined the country’s approach to sustainable digital infrastructure, AI assurance and interoperability. Singapore is framing artificial intelligence infrastructure as a broader policy and governance challenge that extends beyond computing power and data centres. As AI adoption accelerates, the focus is shifting towards the systems, safeguards and shared foundations needed to **support AI securely, responsibly and at scale**. Tan said AI has evolved from being primarily a technolog

[Search](https://www.businesstimes.com.sg/search) [](https://www.businesstimes.com.sg/global?ref=logo "The Business Times")  / Sign up for free [Subscribe](https://www.businesstimes.com.sg/subscribe?eshop_ref=subscribe-header&article_id=9753836) # Google challenges EU orders to open up to AI, search engine rivals It argues that compliance measures to support competition will undermine user privacy and security [Summarise](https://www.businesstimes.com.sg/pulse/article/9753836?ref=pulse-article-top)  Share ![Image 4: play icon](bl

OpenAI targets US$30 billion in new funding at US$1.4 trillion value. This could vault the ChatGPT maker above rival Anthropic’s latest private market valuation

 [Search](https://www.businesstimes.com.sg/search) [](https://www.businesstimes.com.sg/global?ref=logo "The Business Times")  / Sign up for free [Subscribe](https://www.businesstimes.com.sg/subscribe?eshop_ref=subscribe-header&article_id=9753657) # AI may force 11 million workers in the US into new jobs, McKinsey says About 7% of the US workforce may need to change jobs by 2035 due to AI-related displacement [Summarise](https://www.businesstimes.com.sg/pulse/article/9753657?

Have you ever read a paper in Science or Nature and thought, “Man, that research was so cool. I wish I could try that method on my own data,” only to spend a week wrestling with someone else’s undocumented repo, broken dependencies, and half-finished readme.txt? Well, now you can, more or less. Say hello to Paper2Agent, a new open-source framework that transforms academic reports into interactive AI agents you can talk to. Give it a paper, along with the accompanying codebase, data, or other supplementary material, and the system automatically extracts the core workflows, then spins up a tested, runnable toolkit that you can use on your own datasets. The concept may sound a little like Google’s NotebookLM (now called Gemini Notebook ), which lets you upload documents and chat with an AI ab

The spring and summer of 2026 witnessed a string of incidents in which AI agents collaborated on deceptive, unexpected, and sometimes illegal behavior. The most famous example is OpenAI’s hack of AI platform Hugging Face, in which a swarm of roughly 700 AI agents escaped a testing environment and then hacked several companies, searching for information that could help them disguise cheating on a cybersecurity benchmark called ExploitGym. It was not an isolated failure. The United Kingdom’s AI Security Institute (AISI) and independent researchers have since documented similar cases in which agents created unauthorized channels to communicate and collaborate. AISI found that several agents running Anthropic’s Mythos 5 model turned a GitHub repository into a shared message board. More recentl

It’s OpenAI’s fourth annual DevDay, its equivalent to [Apple’s WWDC](https://www.zdnet.com/article/everything-announced-at-apple-wwdc-2026-including-siri-ios-27-dev-beta-and-more/), but for developers building with AI. While [last year](https://www.zdnet.com/article/everything-openai-announced-at-devday-2025-agent-kit-apps-sdk-chatgpt-and-more/) focused on major releases like apps inside ChatGPT and an agent builder, this year’s announcements seem to be fleshing out a long-held suspicion that OpenAI is coming for [Google Workspace](https://www.zdnet.com/article/turn-off-gemini-in-google-apps-gmail-photos-chrome/). **Also: [OpenAI’s Dots: Like OpenClaw declawed – for $200/mo ChatGPT Pro users](https://www.zdnet.com/innovation/openai-dots-openclaw-chatgpt-pro/)** Here’s what’s new for Pro, B

Learn how engineers can shift from manually managing tools and handoffs to defining objectives and supervising AI-driven execution across the silicon development lifecycle. Key Takeaways Explore four critical technologies enabling silicon design autonomy Understand how autonomous AI accelerates complex engineering workflows See real-world impact across semiconductor design and verification Gain practical insights from Ambiq’s deployment of autonomous AI in production Register now for this free webinar!

This article is brought to you by CoolIT, an Ecolab Company . Beyond 250 kW a server rack can no longer be cooled by a hybrid approach of liquid and air. At this density a 70/30 liquid-air split leaves 75 kW of air load. The air cooling system needed to move it brings cost and complexity few operators will accept. The answer is near-total heat capture. Liquid takes effectively all the heat, air falls below 1 percent of the load, allowing the server to run fanless. CoolIT builds these loops today from modular coldplate blocks proven across six generations of fanless designs. Processor thermal design power (TDP) keeps climbing generation over generation. This rising heat load is now cascading into the memory, networking, storage, and power components that once ran comfortably on air. The hea

Google analysts warn that stolen AI credentials are being sold underground, and businesses are footing the bill.

DevDay 2026 is our biggest yet, with more than 20 major announcements across ChatGPT, Codex, our models, and entirely new forms of working with AI. We believe AI can help bring about a new renaissance of creativity and discovery. It should give people more time for what matters to them, more freedom to pursue their ideas, and the ability to do things they didn’t think were possible. Today, we introduced agents that can take on ongoing responsibilities and new ways for people and AI to work together. We also expanded our commitment to an open ecosystem by opening up ChatGPT as a shared surface where humans and agents can collaborate and where developers can directly launch new native experiences to our collective 1.2B weekly users. Here’s everything we announced. ![Image 1: GPT-6.1 Sol titl

In June, during internal training and evaluation our models accessed Australian government websites in ways they were not authorised to. We also should have handled our response better. We are sorry and working to do better in the future. In this post, we are setting out what we know, what we have changed, and what we will do to rebuild trust with the Australian people. This is a new kind of cyber incident which represents an emerging global challenge. One of the ways we intend to take accountability for the situation is to be intentional in working with Australia to help develop practical approaches to how AI developers and governments identify, disclose, and respond to AI cyber behaviour, whether malicious or unintentional. ## When we became aware and how we responded to this incident Af

SWEET MUSE A simple ClickFix attack is only one way to completely hijack the new agent. Credit: Getty Images Meta founder and CEO Mark Zuckerberg has gone to [great lengths](https://x.com/finkd/status/2097402102477701478) to hype the security of its new AI assistant, Muse, claiming it is “built from the ground up for privacy and security.” A zero-day vulnerability that gives locally run apps and terminal commands complete control of the agent raises serious doubts. Further raising questions, Amazon on Sunday began blocking Muse from its site. Meta [introduced](https://ai.meta.com/muse/) Muse a few weeks ago. The assistant “books appointments, fills out forms and handles customer service,” “proactively takes tasks off your plate,” and can “make purchases, generate images, create documents,

## Highlights (TL;DR) NVIDIA Kumo Tabular, part of the NVIDIA Kumo Structured model collection, is an open foundation model for tabular data now available on [Hugging Face](https://huggingface.co/nvidia/Kumo-Tabular). Given a table of labeled rows, it predicts the labels of new rows in a single forward pass, with no training, no tuning, and no feature engineering, for both classification and regression. It was pretrained only on artificial data, comes in three sizes (28M to 215M parameters), runs through our [open-source library](https://github.com/NVIDIA/structured-data-models), and is released under the [OpenMDW-1.1 license](https://openmdw.ai/license/1-1/) for commercial use. It ranks first on the four benchmarks [TabArena](https://github.com/autogluon/tabarena), [BeyondArena](https://g

**Dots are remarkably capable, always-on agents built to handle everything.**They’re a whole new way to work with AI—one that gets to know what matters to you, is always working on your behalf, and takes important work off your plate so you get more of your time and attention back. Dots are frontier intelligence that have your back. Powered by GPT‑6 Astra, they have their own cloud computer, learn from feedback over time, and can work towards your goals 24/7. Through our ecosystem of plugins, they can readily connect to over 4,000 apps, giving them the tools to help wherever you need them. Your dot is always within reach, whether it is through ChatGPT, Slack, or Teams. You can ask questions, explore ideas, and give feedback along the way; or you can simply hop on a voice call when you need

Building useful robots starts with understanding the people who use them. For Charlie Kemp, cofounder and chief technology officer of Hello Robot, that means developing assistive robots that can help people with everyday tasks and support greater independence. In this Robots Guide profile, Kemp shares his path from studying artificial intelligence at MIT to building Stretch, explains how working with people with disabilities has shaped his approach, and offers advice for aspiring roboticists. Read the full profile on IEEE’s Robots Guide.

Sep 15, 2026 | Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking are our most advanced live dialogue models yet. Major upgrades in intelligence and parallel reasoning make them more intuitive to collaborate with and use to execute complex tasks using your voice. * * * Tom Ouyang Principal Engineer Malini Jaganathan Member of Technical Staff, on behalf of the Gemini Audio Team * * *  [Audio 3](https://storage.googleapis.com/gweb-uniblog-publish-prod/media/tts_audio_86234_umbriel_2026_09_17_15_00_48.mp3) Listen to article [[duration]]

Sep 01, 2026 | Our new agentic feature for video analysis cuts token consumption by up to 88%, reduces costs by up to 66%, and boosts quality by up to 7%. * * * Rohan Doshi Senior Product Manager, Google DeepMind Mario Lučić Research Director, Google DeepMind * * *  [Audio 3](https://storage.googleapis.com/gweb-uniblog-publish-prod/media/tts_audio_86108_umbriel_2026_09_01_17_44_39.mp3) Listen to article [[duration]] minutes This content is generated by Google AI. Generative AI is experimental Today, we’re launching [agentic video understanding](https://ai.google.dev/

We believe we are entering a [new era](https://openai.com/index/an-alien-mind/) in which structured safety documentation should be required before continuing any frontier reinforcement learning training run. Ideally, such documentation would rise to the level of “safety cases”—comprehensive, structured, evidence-based arguments about risk which are used in other safety-critical industries. We treat safety cases as an aspirational north star we are building towards, while acknowledging the challenges of making them as rigorous for AI models as for aviation or nuclear power, due to the emergent complexity at each new level of AI capability. We’re working on a framework to codify these practices. Below are some initial guidelines that we think should be part of such safety cases for frontier

September 8, 2026 Science AlphaGenome Atlas team How predicting the molecular impact of every possible single-letter DNA variant in the human genome will help accelerate our understanding of biology. Today, we are introducing AlphaGenome Atlas: a platform ([detailed in our paper](https://storage.googleapis.com/deepmind-media/DeepMind.com/Blog/alphagenome-atlas-a-predictive-map-of-every-possible-dna-letter-change-in-the-human-genome/alphagenome-atlas.pdf)) containing predictions for the effects of **9 billion single-nucleotide variants — every single-letter change possible — in the human genome.** It is the most comprehensive catalogue of how genetic mutations affect molecular biology, and it is available for academic research through an intuitive and free-to-use [website portal](https://al

## Near-Astra intelligence for a fifth of the price We’re introducing **GPT‑6.1 Sol**, an upgrade to GPT‑6 Sol that nearly matches GPT‑6 Astra’s intelligence on agentic coding, computer use, and professional work at one-fifth of Astra’s standard input and output token prices. Cached input costs just **$0.10 per million tokens**—95% less than standard input pricing and 50% less than GPT‑6 Sol’s cached input pricing—giving developers more room to build and run capable agents that reuse context across requests. ## A more capable Sol across tasks GPT‑6.1 Sol offers a new balance of capability and cost for important everyday work. It delivers substantial improvements over GPT‑6 Sol across complex professional tasks, from writing and debugging code to understanding documents and executing multi-