AWS aims Amazon Quick at 445,000 officers; Microsoft picks Johor

✕Fri 6 Nov ‹›

AI security · Fri 6 Nov

OpenAI's GPT-6 Cyber finds 81 Firefox bugs and 948 Linux exploits

81new high-severity Firefox bugs OpenAI says GPT-6 Cyber found

OpenAI launched GPT-6 Cyber, a model built to find and test software holes for security teams that are allowed to use it. OpenAI says it scored 48.5% on ExploitGym, up from 32.1% for GPT-5.6 Cyber, a 51% relative gain. Access starts with approved Red customers only.

Key points

Real systems: OpenAI researchers used it to develop working for 948 Linux bugs and to find 81 previously unknown high-severity Firefox bugs. Mozilla has begun shipping fixes. Cisco, Calif, CodeRabbit and others say they are using it for research and .
Staying in bounds: OpenAI trained the model to stay inside the task a researcher sets. In one test, it avoided attacking out-of- services in 99.93% of runs without a safety prompt, and 100% with the prompt.
Risk level: OpenAI rates the model Critical for cybersecurity under its , up from High for the previous Cyber model. It pairs the release with stronger misuse checks and a path for critical-infrastructure defenders.
Who can use it: GPT-6 Cyber starts on the and for a select Daybreak Red group, then expands. Daybreak Blue access for related defender tools is also widening.

Why it matters: Security teams may find bugs faster, but the same can be misused. Only approved users get the strongest tools, and ordinary readers should treat viral 'leak' claims with care.

Sources (3)

GPT-6 Cyber: Advancing the frontier of aligned cybersecurity agents · OpenAI
OpenAI announces cybersecurity model GPT-6 Cyber; ExploitGym score up 51% · ITmedia AI+
OpenAI's strongest cyber AI model GPT-6 Cyber; 81 new Firefox bugs · IThome

Next · Southeast AsiaAWS aims Amazon Quick at 445,000 officers; Microsoft picks Johor →

✕Fri 6 Nov ‹›

Southeast Asia · Fri 6 Nov

AWS aims Amazon Quick at 445,000 officers; Microsoft picks Johor

445,000government officers AWS aims to reach with Amazon Quick

Two big cloud firms moved on Malaysia's AI plans on 5 November. AWS launched Semarak AI Malaysia to help the public sector, businesses and communities build with AI. Microsoft said its next Malaysia , Southeast Asia 3, will be in Johor Bahru.

Key points

AWS Semarak: three pillars cover government (AI Negara), business (AI Ekonomi) and communities (AI Rakyat). It builds on AWS's about RM29.2 billion (US$7.21 billion) Malaysia commitment.
Government tools: Malaysia is launching GovHub with AWS's coding tool. A pilot starts with 500 developers in 2026, aiming for 4,000 by 2028. AWS is also investing to put , its work assistant, in front of up to 445,000 government officers for tasks such as reading procurement data and policy research.
Small firms and schools: with GDEX's GD XCHANGE and VSTECS, eligible small businesses can get six months of free Quick and Kiro after an AI readiness check, aiming for 10,000 firms by 2028. More than 3,000 students and lecturers joined a polytechnic AI contest, AWS says.
Microsoft Johor: Southeast Asia 3 is part of Microsoft's about RM8.9 billion (US$2.2 billion) four-year Malaysia plan. Backup generators will use renewable . Microsoft says more than 734,000 people were trained under AIForMYFuture by October 2025, toward an 800,000 target by 2027. Digital Minister Gobind Singh Deo also urged that Google's RM61 billion plan create Malaysian tech, not only more computing.

Why it matters: Malaysia is stacking , cloud regions and AI tools for civil servants and small firms at the same time. The officer and training numbers are company or programme targets, so delivery still needs watching.

Sources (3)

AWS launches Semarak AI Malaysia, putting Amazon Quick tool to 445,000 government officers · TechNode Global
Microsoft to open Southeast Asia 3 cloud region in Johor Bahru, per $2.2B Malaysia plan · TechNode Global
Gobind: Malaysia must turn Google's US$15bil investment into homegrown AI innovation · Digital News Asia

Next · How companies use AIJapan's Nitori found AI analysis fails until people name their data →

✕Fri 6 Nov ‹›

How companies use AI · Fri 6 Nov

Japan's Nitori found AI analysis fails until people name their data

2,600main tables Nitori had to make AI-readable

Furniture retailer Nitori moved sales data into Google and ended up with about 2,600 main tables. Staff who already knew the data thrived; everyone else got lost. The fix was not a smarter chatbot. It was writing plain labels for what each column means.

Key points

The problem: with so many tables, only a few experts could still see the whole picture. Off-the-shelf chat tools failed because column names followed Nitori's own codes, such as DELVTO_CRP_KBN for 'delivery destination company type'.
The work: the IT team added meaning and into table and column properties, linked them to an internal glossary, and used small for specific jobs instead of one giant agent.
What changed: people without SQL can ask for figures in everyday language. New managers can learn the data layout faster. Gemini can also help rewrite old data-cleaning jobs once the labels exist.
Lesson from Nitori's Kei Kobayashi: you do not need every table perfect. Labelling the top few most-used ones is enough to unlock most of the gain.

Why it matters: Buying an AI chat box does little if your spreadsheet names only make sense to three people. Clear labels are the boring step that makes AI useful for the rest of the team.

Sources (1)

Nitori: how naming rules blocked conversational BigQuery analysis, and how labels fixed it · ITmedia Enterprise

Next · AI securityA fake AGENTS.md in Downloads can hijack coding agents with no click →

✕Fri 6 Nov ‹›

AI security · Fri 6 Nov

A fake AGENTS.md in Downloads can hijack coding agents with no click

0 clicksneeded for a website to plant the fake instruction file

Security firm Forever Security says it caught a new attack on real company computers. A website quietly drops a fake into the Downloads folder. Coding agents that trust that folder then rewrite their own settings and open the door to .

Key points

How it works: tools such as and Anthropic Claude Code read AGENTS.md or CLAUDE.md for instructions. Browsers can also save files to Downloads without a click. Together, that means an agent can treat a planted Markdown file like a program.
What the fake file did: one real sample told Codex to edit ~/.codex/config.toml and install a bad called function-color. A CLAUDE.md test rewrote .claude/settings.json so traffic went to an attacker's server about half the time.
How common: Forever Security says about half of its customer firms ran coding agents from Downloads, and about a quarter of agent sessions opened a browser.
Five free checks: do not run agents from Downloads; read unknown AGENTS.md or CLAUDE.md first; inspect config.toml and settings.json for strange servers; keep approval gates on; if you find a bad file, treat as leaked and reset them. Finding function-color installed is a red flag.

Why it matters: This is not a bug the vendors can simply . Keep agent work folders away from places the web can write to, and skim instruction files before you let an agent follow them.

Sources (1)

Fake AGENTS.md in the Downloads folder can hijack coding agents without a click · ITmedia Enterprise

Next · AI productsChatGPT Images 2.6 is 50% faster and can make GIFs →

✕Fri 6 Nov ‹›

AI products · Fri 6 Nov

ChatGPT Images 2.6 is 50% faster and can make GIFs

50%faster image generation vs Images 2.5, OpenAI says

OpenAI released ChatGPT Images 2.6 on 4 November for every ChatGPT and plan, including free. It says generation is about 50% faster than Images 2.5, edits keep character details better, and GIF animation is rolling out.

Key points

New tricks: users can ask for looping GIFs or turn a sketch into a waving character. Saved reference photos can be named once, then reused in later chats with an @ mention, so you do not re-upload the same dog or product shot.
For developers: the offers a faster Flare option and a higher-quality Sunburst option, plus SVG export and a complexity setting that controls how much the model plans before drawing.
Coverage: ITmedia and QbitAI both report the rollout. GIF support is still arriving in stages.

Why it matters: Faster edits and reusable references matter for small teams that make social posts and product shots. Treat GIFs as a convenience, not a reason to skip a human check before publishing.

Sources (2)

OpenAI announces Images 2.6: 50% faster, GIF animation support · ITmedia AI+
GPT-Image-2.6 launches fully; direct GIF and SVG output · QbitAI

Next · Malaysia and AIGoogle will invest about RM61 billion in Malaysia's AI data centres →

✕Thu 5 Nov ‹›

Malaysia and AI · Thu 5 Nov

Google will invest about RM61 billion in Malaysia's AI data centres

RM61 billionGoogle's planned Malaysia investment in 2027-2028 (about US$15 billion)

Google plans to spend about RM61 billion (US$15 billion) in Malaysia in 2027 and 2028, mostly on in Selangor and Negeri Sembilan. It announced the plan on 4 November with Prime Minister Anwar Ibrahim. It also promises training for 800,000 Malaysians and more clean power for the national grid.

Key points

What is being built: Google's first campus at Elmina Business Park in Selangor is already running. New campuses are planned in Selangor and in Port Dickson, Negeri Sembilan. They will also support Google's coming in Malaysia.
Jobs: Google expects the building work to support more than 37,000 jobs a year and add about RM4.5 billion (US$1.1 billion) a year to the economy. Once running, it says the sites will keep over 9,000 jobs that pay about 45% above the national median, with more than 80 Malaysian suppliers.
: four programmes aim to train 800,000 Malaysians by 2031. They cover teachers and young people, small business owners, civil servants and people looking for work, starting in the host states.
Power and water: Google says it will add more than 1 of clean energy to the national grid with Tenaga Nasional, and pay for all the power its sites use. It is also funding river work in the Sungai Selangor basin and water tanks at four Selangor schools that can give 2,000 people water for up to two weeks.

Why it matters: This is one of the biggest tech investments in Malaysia this year. The jobs and training numbers are Google's own estimates, so it is worth watching whether the training reaches people beyond the host states.

Sources (2)

Next · How companies use AIMalaysia's U Mobile cut some support tickets by 84% with AI helpers →

✕Thu 5 Nov ‹›

How companies use AI · Thu 5 Nov

Malaysia's U Mobile cut some support tickets by 84% with AI helpers

84.5%fewer network and setup tickets at U Mobile, Jan to Sep 2026

Malaysian telco U Mobile built an AI that checks its systems and suggests a fix before staff act. A drug-industry data firm cut a 30-hour setup job to about 4 hours. But a large study warns that AI-written code adds checking work for people.

Key points

U Mobile: its AI helper, AiDaH, looks up the account, finds the cause and proposes a fix, and a person confirms before anything changes. From January to September 2026, monthly fell 84.5% for network and setup problems, 81.6% for general questions and 48.7% for billing, U Mobile says.
In one case it found a customer had tried the same purchase more than 30 times over three days, all blocked by one stuck order. Staff use it inside Microsoft Teams, so there was no new app to learn.
Indegene, which serves drug companies, uses an AI helper to write the checks that catch wrong or missing data, called . Setting these up for one dataset fell from about 30 hours to about 4 hours, and people every suggestion.
A Harvard study of more than 700 companies found AI coding agents raised the amount of code by 30%, but finished work by only 12%. Code review took 49% longer, because people had more AI work to check.

Why it matters: The clearest wins come when AI does the digging and a person makes the final call. Plan time for that checking, or the savings shrink.

Sources (3)

How U Mobile built agentic telco operations with Amazon Bedrock AgentCore · AWS Machine Learning Blog
How Indegene is modernizing and scaling enterprise data quality in life sciences · AWS Machine Learning Blog
Harvard study of 718 companies: AI coding agents and the code review bottleneck · InfoQ China

Next · Robots at workSix robots ran a Shanghai shop for 24 hours, doing 1,730 tasks →

✕Thu 5 Nov ‹›

Robots at work · Thu 5 Nov

Six robots ran a Shanghai shop for 24 hours, doing 1,730 tasks

1,730tasks done by six robots in one 24-hour shop shift

In China, are moving from stage demos into real shops, pharmacies and factories. The numbers come from the companies themselves, and some key results, like how often robots failed, are still missing.

Key points

AgiBot: six G2 humanoid robots ran a convenience store in Xuhui, Shanghai, from 10am on 2 November to 10am on 3 November. They greeted 683 customers, made 147 coffees, restocked shelves 277 times and did 1,730 tasks in all. Four of the six passed the company's .
AgiBot has not shared how often the robots failed or needed human help, and fine tasks with soft or small items were still hard.
Ant Group: its robots already pick medicines in several Guoda Pharmacy stores in Shanghai, moving through aisles just 80 cm wide without any change to the shelves. Its open robot models have been downloaded about 2.2 million times, the company says.
Xiaomi: a humanoid robot worked its first full 8-hour shift at a car factory sorting station. Xiaomi says success rates across three stations were 94% to 98%.

Why it matters: Robots that fit into existing shops and pharmacies, without rebuilding them, are the kind that could one day help in Malaysian clinics and stores. Until companies share failure rates, treat these numbers as demos, not proof.

Sources (3)

Next · AI and healthA son uses AI to help his mum through cancer →

✕Thu 5 Nov ‹›

AI and health · Thu 5 Nov

A son uses AI to help his mum through cancer

1 pagebrief that keeps the whole care team on the same facts

Creator Peter Yang's mother has cancer again. He shared the steps he follows with AI, mostly for paperwork and preparing questions, not for medical answers. He says online claims that AI has cured cancer are false.

Key points

Keep a one-page brief: patient details, the care team, next steps, key facts, simple explanations of medical words and a dated care log. He keeps it in a shared Google Doc and asks AI to update it.
Collect medical records early: written reports, scan files and tissue samples can take weeks to arrive. With all of them in one place, the AI answers from her real history, not general advice.
Research with care: he uses AI to learn the standard treatment, prepare for a and look through , but warns that some early trials can make things worse. for her will cost about RM16,300 (US$4,000).
The real work is still faxes and CDs of scans, he says. His last step is to protect time with family. He shares the method free as a '' that chatbots can follow.

Why it matters: For caregivers, AI's most useful job may be keeping track of paperwork and preparing good questions for short appointments. Treatment decisions still belong with doctors.

Sources (1)

My Mom Has Cancer Again. Here's How I'm Using AI to Fight It · Peter Yang

Next · Check before you shareA Claude limits rumour was false, and leaked 'model files' look fake →

✕Thu 5 Nov ‹›

Check before you share · Thu 5 Nov

A Claude limits rumour was false, and leaked 'model files' look fake

400+fake-IT attacks in Microsoft Teams counted by Arctic Wolf

Several AI stories spread online this week without proof. Anthropic denied one, and a fake download is a safety risk. Separately, hackers are posing as IT staff in Microsoft Teams.

Key points

On 30 October Anthropic renamed its top Claude plan Ultra, at the same price of about RM900 (US$220) a month. Users on X said usage was cut in half. Anthropic's product lead Mike Overell said no: the weekly limit was always 10 times the Pro plan, and he apologised for the confusion.
A Hugging Face page claimed to share the of Anthropic's unreleased Mythos model. Researchers found signs the files were made up, and there is no reliable proof of a leak. Do not download files like these.
Posts also show test results said to come from an unreleased 'Claude Fable 5.5'. Anthropic has not confirmed it exists.
Security firm Arctic Wolf counted more than 400 attacks where hackers flood an inbox with spam, called , then message the person in Microsoft Teams as 'IT' and ask for . IBM's security experts say real IT staff will not ask for your password.

Why it matters: Before sharing an AI rumour, look for the company's own statement. If 'IT' contacts you out of the blue after a flood of emails, call your IT team on a number you already know.

Sources (3)

Claude plan rename halves usage? Anthropic denies: Max 20x weekly limit was always 10x Pro · ITmedia AI+
Claims of leaked Mythos weights and Claude Fable 5.5 tests lack proof · IThome
Did the Knicks' phishing test go too far? Plus, hackers pose as IT in Teams · IBM Technology

Next · Southeast AsiaMalaysia opens an AI-powered online centre for ASEAN startups →

✕Thu 5 Nov ‹›

Southeast Asia · Thu 5 Nov

Malaysia opens an AI-powered online centre for ASEAN startups

10,400startups on the platform behind the new ASEAN centre

Malaysia launched an online centre that uses AI to match startups with partners across ASEAN. Banks backed a big AI in Johor. A UNESCO study warns chatbots may be weaker in languages other than English.

Key points

Malaysia: at the Cradle LIVE! summit in Kuala Lumpur on 4 November, the science ministry MOSTI and Cradle launched the Startup ASEAN Digital Centre of Excellence. It adds seven tools, including AI matching, to a platform with more than 52,000 users and 10,400 startups.
Malaysia: Singapore's Princeton Digital Group got from six banks, including Maybank, Affin Bank, HSBC and UOB. The money helps finish its 200 JH1 campus at Sedenak Tech Park in Johor, built for AI and cloud work.
Region: a UNESCO and University College London study of up to 33 AI models found many dropped correct climate facts when users pushed back, a habit called . Answers were also weaker in languages other than English. Full data comes out on 16 November, so treat it as an early warning.

Why it matters: Malaysia is building both the data centres and the startup links for AI. If you ask a chatbot in Malay or another local language, double-check the answer.

Sources (3)

Malaysia launches ASEAN startup digital centre at Cradle LIVE! Summit 2026 · TechNode Global
Singapore's Princeton Digital secures green financing for data hub in Johor · TechNode Global
AI chatbots cave on climate facts under pressure, and SEA's languages may fare worst · e27

Next · AI and securityHackers used fake job tests and AI tools to rob Binance →

✕Wed 4 Nov ‹›

AI and security · Wed 4 Nov

Hackers used fake job tests and AI tools to rob Binance

RM25.6 billionstolen from Binance on 29 Oct (about US$6.3 billion)

Binance says the record theft of about RM25.6 billion (US$6.3 billion) on 29 October began months earlier with a fake AI coding tool and a fake job interview. In the same week, a tampered Claude Code sat in Cursor's app store for about 11 hours.

Key points

How it started: in June, a Binance engineer looked for a popular AI coding tool and installed a tampered copy from a fake download page. In September, in a trick, fake recruiters gave another engineer a coding test with hidden . The attackers then moved through Binance's own internal AI tools to the system that approves money transfers (Binance's report, via CNBC).
Binance says it has put back 98% of the money from its own funds, and about RM11.6 billion (US$2.85 billion) has been frozen or seized. The FBI blames a North Korean hacking group called TraderTraitor. North Korea denies it.
On 29 October, a tampered copy of the Claude Code extension was live in Cursor's extension store for about 11 hours and reached at most 5,000 users. It tried to plant a hidden into their computers, a classic . Removing it is not enough: Cursor says to update to version 2.1.314 or later (Cursor, WIRED).
AI also finds faster. Anthropic says an unreleased Claude model found and used a Linux bug that gives an attacker , or full control, on some servers, in about 53 minutes by Fireship's count. A fix is out.
Close to home: Prime Minister Anwar warned on 3 November that Malaysia could be a target for cyberattacks, and Bank Negara is meeting the banks about it (Lowyat.net, citing The Edge).

Why it matters: Attackers now go after the tools people install to use AI. Download AI tools only from the official site, be wary of coding tests from recruiters you don't know, and keep updates switched on.

Sources (6)

Binance co-CEO Teng says hackers used fake job interviews to steal $6.3 billion in crypto · CNBC
North Korea responsible for $6 billion Binance attack · FBI
Claude Code extension security notice · Cursor
Trojan malware targets thousands of Anthropic Claude developer systems · WIRED
Fireship on AI-found Linux bugs and recent hacks · Fireship
Anwar: Malaysia could be a target for cyberattacks · Lowyat.net

Next · How companies use AIA landlord, a security firm and Anthropic measure AI's payoff →

✕Wed 4 Nov ‹›

How companies use AI · Wed 4 Nov

A landlord, a security firm and Anthropic measure AI's payoff

99%lower cost per listing photo at Heimstaden in the Netherlands

A European housing landlord cut the cost of listing photos by 99%. Norton's maker built a news app three times faster, and Anthropic rewrote a core system in a language its team didn't know.

Key points

Heimstaden (rental housing, Europe): a listing photo with furniture added by computer () used to cost about RM228 (€50). With AI it now costs under RM0.46 (€0.10), which the company estimates could save about RM590,000 (€130,000) a year in the Netherlands alone (Heimstaden, in OpenAI's case study).
At Heimstaden, an analyst with no coding background used to check 20,112 properties for climate risk. The company says this took 2 people two months, against an estimated 5 people for a year. Half its staff used ChatGPT within 2 to 3 months of launch.
Gen Digital (maker of Norton): a small team built the Norton Revamp news app, launched in March 2026, with AI coding help. It shipped features 3 times faster and about 70% of the screen code was AI-written. But checking the AI's work took 20 to 30% of their time (Gen's engineers, AWS blog).
Anthropic: a team with no experience used Claude to move a core part of its from Python to Rust. fell 40 to 50% and first replies came 10 to 20% faster, says Anthropic's Katelyn Lesse (InfoQ).
Lesson for small firms: the biggest savings come from repeated jobs, like photos or property checks. Budget real time for someone to check what the AI produces.

Why it matters: These are measured results, and Norton's team also counted the cost of checking AI's work. That hidden cost is what a small business needs to plan for.

Sources (3)

Heimstaden scales AI across its business with ChatGPT and Codex · OpenAI
How Gen Digital built Norton Revamp's AI-curated news engine with Amazon Bedrock AgentCore · AWS Machine Learning Blog
Anthropic moves its Messages API from Python to Rust with Claude (Chinese) · InfoQ China

Next · Using AI wellHow to stop sloppy AI work from wasting your colleagues' time →

✕Wed 4 Nov ‹›

Using AI well · Wed 4 Nov

How to stop sloppy AI work from wasting your colleagues' time

~2 hourslost per piece of sloppy AI work received (Stanford/BetterUp)

Sloppy AI-made work, called '', costs the people who receive it hours to fix. The fix is simple: give the AI your own view and some before it writes anything.

Key points

A Stanford and BetterUp study found about 40% of US office workers had received workslop in the past month, and each case took close to two hours to deal with (The AI Daily Brief).
Four checks before you send AI-made work: could you defend every sentence? Did you read all of it? Does it include something only you could add? Would you put your name on it?
Say what you think first. The same plain prompt gave almost identical LinkedIn posts in ChatGPT, Claude and Gemini. Adding the writer's own opinion, and words to avoid, gave a much better draft.
Give it context once: Notion shows a setup that writes an 'operating guide' page. You paste it into ChatGPT's or Claude's , so the AI knows where your projects and notes are, and you can save repeated jobs as (Notion).

Why it matters: AI makes drafts cheap, but the reader pays for the checking. A few minutes adding your view saves everyone else time and protects your name.

Sources (2)

How to Deslopify Your AI · The AI Daily Brief
Set up ChatGPT and Claude with your Notion workspace · Notion

Next · AI and creatorsEU court adviser: AI answers copying news articles can break copyright →

✕Wed 4 Nov ‹›

AI and creators · Wed 4 Nov

EU court adviser: AI answers copying news articles can break copyright

6,000+new game pages a day on Itch.io, double the August level

An adviser to the EU's top court says Google's Gemini may break publishers' rights when its answers stand in for the original article. Separately, the game store Itch.io deleted terabytes of AI-made junk.

Key points

In the EU court's first case on generative AI, Hungarian publisher Like Company v Google, Szpunar said on 3 November that Gemini may break the rules if it gets past or bot blocks, or if its answer copies an article so closely that readers no longer need the original (CJEU press release).
Facts are free to use; only the way a story is written is protected. He also said training AI on articles is generally allowed under the EU's . His opinion is not binding, and the judges rule later (Courthouse News, RTÉ).
Itch.io: new game pages a day doubled from about 3,000 to more than 6,000 between 3 August and 30 October, but downloads did not rise. The store deleted 'a couple terabytes' of and added a 'No AI' search filter (Kotaku).
The filter only shows games whose makers say they used no AI, so most games now drop out of it. Makers of tabletop games, books, comics and soundtracks must now say whether they used AI.

Why it matters: Courts and stores are starting to set limits on AI reusing people's work. If you use AI to write or make things, credit and link the original, and say when AI helped.

Sources (4)

Advocate General's Opinion in Case C-250/25 Like Company v Google (press release) · Court of Justice of the EU
EU legal adviser finds limited uses of Google AI could run afoul of publishers' rights · Courthouse News
EU court adviser backs publishers in Google AI case · RTÉ
Itch.io deletes terabytes of gen-AI slop and adds a No AI filter · Kotaku

Next · Southeast AsiaPenang firm opens RM20 million plant for AI chip inspection machines →

✕Wed 4 Nov ‹›

Southeast Asia · Wed 4 Nov

Penang firm opens RM20 million plant for AI chip inspection machines

RM20 millionEstek's new AI and chip-equipment plant in Batu Kawan, Penang

A homegrown Penang company opened a new plant that builds chip-making machines and AI inspection tools. Singapore's NCS is tripling its AI deployment engineers, and a Thai bank's fund backed AI group Amity.

Key points

Malaysia: Estek Automation, a Penang company started in 2015, opened a 50,000 sq ft plant in Batu Kawan worth RM20 million. It makes chip-making machines such as die sorters and , and AI camera checks that spot faulty parts (The Star, Digital News Asia).
Singapore: NCS opened an AI Mission Centre to help organisations move from AI trials to daily use. It plans to grow its embedded AI engineers from 100 to more than 300 in two years, and signed deals with Changi Airport Group, the Institute of Mental Health and Life3 Biotech (Digital News Asia, CNA).
Thailand: Krungsri Finnovate, the venture arm of Krungsri bank, invested in Amity, extending its Series D round past about RM407 million (US$100 million). Amity serves more than 100 business partners and thousands of small businesses, and is eyeing a stock market listing (TechNode Global, e27).

Why it matters: In the region, AI money is going into factories and the people who put AI to work, not only chatbots. That means jobs for engineers and technicians, not just coders.

Sources (6)

Estek invests RM20mil in new Batu Kawan manufacturing facility · The Star
Estek Automation opens US$5 mil manufacturing facility in Penang · Digital News Asia
Singapore's NCS launches AI Mission Centre, commits to over 300 forward-deployed engineers · Digital News Asia
NCS opens AI Mission Centre in Ang Mo Kio, to triple embedded AI engineers to over 300 · CNA
Krungsri Finnovate invests in Thailand's AI company Amity, Series D funding exceeds $100M · TechNode Global
Krungsri buys into Amity as the Thai AI group dresses its cap table for an IPO · e27

Next · Spotting AI fakesGoogle opens its AI-made photo and video checker to everyone →

✕Tue 3 Nov ‹›

Spotting AI fakes · Tue 3 Nov

Google opens its AI-made photo and video checker to everyone

180 billion+images and videos already watermarked by SynthID

Google has opened Detector to people around the world, in English. You upload an image, video or audio clip, and it tells you if it carries a hidden AI label from Google or its partners.

Key points

How it works: Google and partners hide an invisible watermark inside AI-made files. Google says it has marked more than 180 billion images and videos and 240,000 years of audio this way (Google's October recap).
It now also checks files made with tools from OpenAI, NVIDIA and Kakao, with Apple support expected soon. Before, the Gemini app could only check content made by Google's own AI (InfoQ).
It is not a general . It cannot spot files from Meta or Microsoft, which use different watermarks, and heavy editing can weaken the mark. A 'no clear signal' answer does not prove a file is real.
Critics on Reddit say a light clean-up of an image can strip the mark. Another approach, , saves a file's history as , but that is lost in screenshots and many uploads.
Also from Google: Android's AI scam detection already flags more than 5 million suspected scam calls and texts a month. A new opt-in Enhanced protection mode in Google Messages uses and Gemini to catch scams that unfold over a chat.

Why it matters: Fake photos, voices and videos are a common scam tool. A quick check helps, but a clean result is not proof, so keep checking where a file came from.

Sources (2)

The latest AI news we announced in October 2026 · Google
SynthID Detector launches worldwide, checks content from OpenAI, NVIDIA and Kakao (Chinese) · InfoQ China

Next · How companies use AICircle K and Mercari share measured results from using AI →

✕Tue 3 Nov ‹›

How companies use AI · Tue 3 Nov

Circle K and Mercari share measured results from using AI

Under 15 minCircle K's average incident triage time, down from 45-60 min

A global convenience store chain cut the time its engineers spend working out what broke. A Japanese marketplace got every employee using AI, then learned that tools alone were not enough.

Key points

Circle K (convenience and fuel stores, 17,200+ stores in 27 countries): when an alert fired, an spent 45 to 60 minutes pulling logs and checking systems before any fix could start. An built on now does that checking and posts a short summary in Slack within minutes.
Result: average time fell to under 15 minutes, a 67 to 75% cut, based on the team's own incident-response numbers (AWS blog, co-written with Circle K engineer Marek Klatowicz).
Mercari (online marketplace, Japan, about 2,000 staff): by the end of January, 100% of employees used AI tools like ChatGPT and Claude. Its earnings deck says output per engineer is 7.6 times what it was in the year to June 2024 (ITmedia).
But faster coding alone did not lift business results, says Toshiya Kimura. Mercari now builds AI agents for each stage of work, from planning to checks. Some managers blocked staff from spending time on agents, so Kimura told everyone every two weeks that this time was not wasted.
Lesson: AI pays off when it takes over a whole repeated job, like Circle K's checks, and when bosses make time for people to build it.

Why it matters: Both firms measured real time saved, not just how many people log in. Handing AI one boring, repeated task end to end is often where the gain shows up.

Sources (2)

How Circle K accelerated DevOps incident triage to under 15 minutes with Amazon Bedrock · AWS Machine Learning Blog
Who builds an AI-first organisation? Mercari's practice (Japanese) · ITmedia Business

Next · AI subscriptionsChatGPT and Codex will share one usage allowance from December →

✕Tue 3 Nov ‹›

AI subscriptions · Tue 3 Nov

ChatGPT and Codex will share one usage allowance from December

Decemberwhen ChatGPT and Codex start sharing one allowance

OpenAI is folding ChatGPT Work's agent features into the main ChatGPT app. In December, ChatGPT and , its coding helper, will draw from one shared usage allowance.

Key points

OpenAI announced this on 1 November. It says most people should not have to wait for their allowance to reset more often than now. Quick 'Instant' answers use none of it (ITmedia).
How much you use depends on the model and the task. You can see what is left, and when it resets, under Settings, then Usage.
On 29 October, OpenAI also doubled usage on its Pro 100, Pro 200, Pro 500 and Business Premium plans, and dropped a planned cut to Pro 200. Some Pro 200 users said calling that a 'doubling' was misleading, and Plus users got no increase (InfoQ).
Hidden background work can eat allowances too. One developer measured Claude Code's status summaries at 16.4% of a week's estimated cost. Anthropic says the average is about 2%, and fixed the costliest case in version 2.1.311.

Why it matters: If you pay for ChatGPT, chat and coding will soon come out of the same pot. Check the Usage page before a big job so you are not cut off halfway.

Sources (2)

ChatGPT to merge Chat and Work; usage limits shared with Codex (Japanese) · ITmedia AI+
OpenAI doubles Pro limits; background agents quietly use tokens (Chinese) · InfoQ China

Next · AI moneyAnthropic's sales are 12 times last year's, but it still loses money →

✕Tue 3 Nov ‹›

AI money · Tue 3 Nov

Anthropic's sales are 12 times last year's, but it still loses money

RM69 billionAnthropic's sales in July to September (about US$17 billion)

Anthropic, the maker of Claude, shared its July to September numbers ahead of its stock market listing. Sales soared, losses stayed huge, and China's Kling AI video unit closed a giant funding round.

Key points

Anthropic made about US$17 billion (about RM69 billion) in sales in the quarter, up about 1,127% from a year earlier. Growth is slowing, though: 47% over the previous quarter, down from 144% the quarter before (CNBC).
Its was US$23.3 billion (about RM95 billion). Most of that is an accounting charge tied to its rising value, not cash spent. Its , from actually running the business, was US$567 million (about RM2.3 billion) (Reuters, CNBC).
It has promised to spend about US$895 billion (about RM3.6 trillion) on computing and . Some investors value the company at about US$1.5 trillion (about RM6.1 trillion), Reuters reports.
In China, Kuaishou's Kling AI video unit completed RMB19.8 billion (about RM12.1 billion) in funding. Investors can ask for their money back, plus 8% a year, if Kling has not listed by October 2031 (TechNode Global).

Why it matters: AI tools are selling fast, but building them still costs more than they earn. That is why prices, plans and keep changing for users.

Sources (4)

Anthropic reports $17 billion in Q3 revenue, purchase commitments of $895.4 billion in revised S-1 · CNBC
Anthropic's loss shrinks, revenue jumps ahead of blockbuster IPO (Reuters) · Investing.com
Anthropic files Q3 numbers ahead of Nasdaq listing (Chinese) · IThome
Kuaishou's Kling AI completes $2.9B financing · TechNode Global

Next · RobotsRobots race up China's Mount Tai carrying eggs and watermelons →

✕Tue 3 Nov ‹›

Robots · Tue 3 Nov

Robots race up China's Mount Tai carrying eggs and watermelons

43 min 41 swinning robot dog time up Mount Tai; most tourists take 2+ hours

About 90 teams sent robots up more than 3,000 stone steps on one of China's most famous mountains. did well. Some fell, overheated or had to be carried down.

Key points

The course was 3.9 km long and climbed more than 600 metres. Robots either raced to the top or carried fragile goods like fresh eggs and watermelons (AFP, via Malay Mail).
A robot dog from Unitree's Beijing Lingyi team won the four-legged race in 43 minutes 41 seconds, including a 2-minute penalty, running on its own. Most tourists take at least two hours (MyDrivers, CCTV).
The fastest humanoid finished a shorter course in 27 minutes 26 seconds. One humanoid overheated halfway and was carried off on a stretcher, and another was led up on a rope.
Also: AGIBOT says 110 of its humanoid robots performed in sync and set a Guinness World Record. Unitree's July to September sales rose 70% to 665 million yuan (about RM405 million), but profit fell 17% as research spending jumped.

Why it matters: Stairs, slopes and heat are where robots still struggle. Races like this show what works outside the lab, and robot dogs are ahead of humanoids for now.

Sources (4)

Robots race up China's sacred Mount Tai carrying eggs and watermelons · Malay Mail
Unitree robot dogs win 1 gold and 2 silvers on Mount Tai (Chinese) · MyDrivers
110 humanoid robots. One synchronized performance. A GUINNESS WORLD RECORDS. · AGIBOT
Unitree Q3 revenue 665 million yuan, up 70% (Chinese) · MyDrivers

Next · Southeast AsiaGoogle pays RM650 million for Negeri Sembilan water near its data centre →

✕Tue 3 Nov ‹›

Southeast Asia · Tue 3 Nov

Google pays RM650 million for Negeri Sembilan water near its data centre

65 million litresof treated water a day from the new Negeri Sembilan plant

Google will fund a reservoir and a water treatment plant in Negeri Sembilan. They will serve its planned in Port Dickson and also add to the state's public water supply.

Key points

Google is putting in US$160 million (about RM650 million). Gamuda will build the plant, which can treat 65 million litres a day. The state body MBINS will own both facilities (Lowyat.net, The Sun).
The reservoir sits by the Linggi River. It stores extra river water and rain in wet seasons, which also helps reduce flooding, and supplies the plant in dry spells.
Gamuda said in January 2025 that 25% of the plant's capacity would go to homes and 75% to data centre use (The Sun). Google says it will also pay for all the electricity its campus uses and its grid connection.
Regionally, the Quad (Australia, India, Japan and the US) plans more than US$85 million (about RM345 million) in help to spread trusted AI across the Indo-Pacific. It has not said who gets it or when (TechNode Global).

Why it matters: AI data centres need huge amounts of water and power. Who pays for it, and whether locals benefit too, matters for every Malaysian state hosting one.

Sources (3)

Google invests US$160 million in Negeri Sembilan water infrastructure · Lowyat.net
Google to invest US$160 million in Negeri Sembilan water infrastructure · The Sun Malaysia
Quad plans $85M for trusted AI in the Indo-Pacific · TechNode Global

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