1Highlight: Google's Gemini 4 Carbon is now number one on the main AI ranking, but goes to cyber defenders first.
2How companies use AI: Worldwide Express cut open problem bills 75%, and Fukuchigumi cut quote typing to about 1 minute.
3Also: Southeast Asia: Malaysia adds free learning passes, plus an AI-found PHP flaw, AI coding and hiring, and small open models.
Highlight of the day
New AI models
59
Gemini 4 Carbon's score, number one on the Artificial Analysis index
Merged from 2 sources
★ Highlight of the day
Google's Gemini 4 Carbon jumps to the top of AI rankings
Just two weeks after Gemini 4 Argon, Google showed Gemini 4 Carbon. It is now number one on the Intelligence index A combined score that mixes many AI tests into one number, so models can be ranked side by side. Artificial Analysis runs the best-known one., the scoreboard most people use to compare AI models. But almost nobody can use it yet.
What we learned
Carbon scored 59 on the new version 5 of the index, ahead of Claude Opus 5.5 (58) and GPT-6 Astra (57). That is 9 points more than Argon (InfoQ China, The AI Daily Brief).
It is built for long jobs. Google says it has seen Carbon work for days on its own to find and fix tiny bugs in big codebases. On the coding agent ranking it is second, 3 points behind Opus 5.5.
It is also very good at cyber security tests: finding weak spots, proving they can be exploited, and fixing them. That is why Google is giving it first only to a small group of trusted cyber defenders, then more testers through its Fairwind programme, before developers and the public.
Early hands-on views are thin. Arena, which got test access, said its 3D and game design results looked less polished than Opus 5.5, but one Arena tester said it feels a lot better than Argon. The AI Daily Brief said it will hold judgement until people can try it.
Why it matters: Google is back near the front of the AI race and is shipping new versions faster. It also shows a new pattern: the most powerful models may go to security teams first, before everyone else.
Google wins the AI leaderboard with Gemini 4 Carbon, but not Wall Street (Chinese) · InfoQ ChinaRead ↗
Gemini 4 Carbon Takes the Top Spot After a Major Benchmark Overhaul · The AI Daily BriefWatch ↗
More stories today
How companies use AI
75%
fewer open problem bills at Worldwide Express after six months
Merged from 2 sources
How companies use AI
A freight firm and a builder show what AI paperwork help saves
Two companies shared real results from letting AI handle boring paperwork: billing disputes at a US shipping company, and price quotes at a Japanese builder.
Key learnings
Worldwide Express (freight shipping, US): about 14% of freight bills don't match the order, and each one used to be chased by hand, carrier by carrier. With AWS it built a Multi-agent system A setup where several AI agents each do one part of a job and pass work between them., a team of AI agent An AI program that takes actions for you, like writing code, paying a bill or changing a menu, not just answering questions., on Amazon Bedrock that sorts each problem, checks the records, emails the carrier and closes the case. Six months after launch, open problem bills fell 75% and its Time-to-cash How long it takes a business to get paid after it delivers an order., how long it takes to get paid, improved by about 4 weeks (Worldwide Express and AWS, AWS blog). Lesson: AI fits jobs that need a bit of judgement, not just fixed rules.
Fukuchigumi (builder, Okinawa, Japan): it gets quotes from hundreds of partner firms, each in a different layout, sometimes more than 100 per project. It now uses LINE WORKS PaperOn, which reads documents with AI and turns them into tables. Typing up one quote went from 10 to 15 minutes to about 1 minute, and one project's work dropped from about 40 hours to 12 (ITmedia). Lesson: start with the most hated copy-and-paste job.
Both started with one clear, measurable job before spreading the tool to other teams.
Why it matters: These are not flashy chatbots. They are quiet helpers that free people from paperwork and get money in the door sooner, which any size of business can copy.
How Worldwide Express automated freight exceptions with Amazon Bedrock · AWS Machine Learning BlogRead ↗
How a builder cut half a day of quote work to about 30 minutes with AI (Japanese) · ITmediaRead ↗
Southeast Asia
25,000
extra free learning passes Malaysia is adding
Merged from 4 sources
Southeast Asia
Malaysia adds learning passes as AI assistants reach SEA apps
Malaysia is giving more people free online courses, and big AI assistants are now plugging into the travel and shopping apps people in the region already use.
Key learnings
Malaysia: the Digital Ministry is adding 25,000 more Global Learning Pass licences, which give three months of free Coursera courses, because so many people signed up. They go to people on the waiting list from mid-November (Lowyat.net).
Malaysia: through the same Rakyat Digital portal, the AI Untuk Rakyat programme lets eligible young people use four paid AI tools, including Google Gemini Enterprise and YTL's ILMUchat, after five short courses. The government recently doubled those places to 200,000 (Lowyat.net).
Agoda's new AI Assistant is live in 21 markets, including Malaysia. It plans trips in a chat, uses Agoda's live hotel and flight listings, and checks places on Google Maps (Lowyat.net).
Singapore: Meta's Muse agent launched with Connector A ready-made link that lets an AI assistant use another app or service, like Grab or Gmail, with your permission. to Shopee, Grab, Singapore Airlines, Lazada and others, and asks before buying or paying. Singapore also announced MARVEL-AI, where AI and Self-driving lab A lab where robots run experiments on their own and AI picks what to try next. test new materials, which it says could test 470 metal alloys a day (TechNode Global).
Why it matters: Free courses help more Malaysians learn to use AI at work. And when AI agent An AI program that takes actions for you, like writing code, paying a bill or changing a menu, not just answering questions. can book and buy inside local apps, it is worth checking what you let them do.
Digital Ministry adds 25,000 Rakyat Digital Global Learning Pass licences · Lowyat.netRead ↗
Agoda now has an AI assistant to help travellers with bookings · Lowyat.netRead ↗
Meta launches Muse AI agent in Singapore with local connectors · TechNode GlobalRead ↗
Singapore invests in MARVEL-AI materials accelerator · TechNode GlobalRead ↗
AI safety
About 70%
of websites run on PHP, IBM's panel said
Merged from 2 sources
AI safety
AI-found PHP flaw puts old websites at risk
Security firms using AI found a serious set of bugs in PHP, the language behind about 70% of websites. An IBM podcast explained why it is a big deal and also looked at a new voice AI that learned only from talking.
Key learnings
The flaw, called PHP2Shell, can let an attacker take over a web server from far away and then reach its databases and passwords. It is not easy to pull off, but it was found with AI models, which make hunting for bugs much faster (IBM Mixture of Experts).
The hard part is patching. Many companies run old PHP versions and fear an update will break other old systems, so they put it off. In Japan, websites paused for fixes and even the Prime Minister urged people on X to get ready to Patch A small software update that fixes a bug or closes a security hole. (ITmedia).
IBM's panel said small businesses with forgotten websites are the most exposed, and that everyone needs to re-check old projects and what they depend on.
Also on the show: Block, the company behind Square and Cash App, showed Dessa, a voice model trained only on spoken conversations, with no text. It is Full-duplex When an AI can listen and talk at the same time, like a real phone call, instead of taking turns., so it can listen and talk at the same time, and it even says "hmm" while you speak, a habit linguists call Backchanneling The small sounds people make while listening, like "mm-hmm" or a laugh, to show they are following..
Why it matters: AI makes it faster to find holes, for attackers and defenders alike. If you have an old website, now is a good time to check it is up to date.
AI exposes a major web security flaw, plus a new kind of voice model · IBM TechnologyWatch ↗
Why companies can't update: lessons from the PHP scare (Japanese) · ITmedia EnterpriseRead ↗
AI coding
98%
of Cisco's old code a two-person team hopes to rewrite with AI
Merged from 3 sources
AI coding
AI coding agents change how teams build and hire
A YouTuber with thousands of hours of AI coding shared his daily setup, while Anthropic and Cisco showed how AI is changing who gets to do big engineering work.
Key learnings
David Ondrej says he has spent over 2,500 hours coding with AI. His tips: keep one task per chat, let the AI build small changes alone, and have a second top AI model Code review Checking code someone (or an AI) wrote before it goes live, to catch bugs and risky changes. big or risky changes before they ship. He also warns that most tests AI writes are not useful. Note that he is promoting his own agent tool in the video.
He thinks the Harness The setup around an AI model (its tools, instructions, checks and helpers) that turns a model into a working agent., the app that runs the AI, matters less and less: a strong model with access to a terminal and the web does well in most of them.
Anthropic engineering manager Felix Rieseberg says he has dropped coding interviews for his team, because Claude now does those small tests well, so they no longer show who is a great engineer. He says hunger can beat years of experience (InfoQ China).
Cisco gave a 27-year-old former startup founder an almost unlimited AI budget to try rewriting 98% of its old code with a team of two within 24 months. It is only a goal for now, with no results shared yet (InfoQ China, citing Fortune).
Why it matters: Writing code is getting cheaper, so judgement, reviewing and knowing what to build matter more. That opens doors for newer people who move fast.
Full-Auto Agentic Engineering · David OndrejWatch ↗
Anthropic drops coding interviews: newcomers can now compete with senior engineers (Chinese) · InfoQ ChinaRead ↗
A 27-year-old gets unlimited tokens to rewrite 98% of Cisco's legacy code (Chinese) · InfoQ ChinaRead ↗
Open models
0.8B
parameters in Xiaomi's new document-reading model
Merged from 2 sources
Open models
Xiaomi and Google share small open models for documents and search
Two small models you can download and run yourself: one from Xiaomi that reads documents, and one from Google that helps search across text, pictures, video and sound.
Key learnings
Xiaomi released Xiaomi-OCR Optical character recognition: software that reads words in pictures or scans and turns them into text you can edit.-0, a 0.8 billion parameter model, on Hugging Face and GitHub. It reads text, tables and maths from documents, pulls fields out of invoices and receipts into JSON, and answers questions about charts (IThome).
Xiaomi says it ranks second overall on the OmniDocBench test, just 0.04 points behind the leader, and first among models under 1 billion Parameters The internal numbers a model learns during training. More parameters usually means a bigger, more capable but costlier model.. It is built on Alibaba's Qwen model.
Google's EmbeddingGemma 2 turns text, code, images, video and audio into the same kind of number list, so one search can find a screenshot, a recording or a code file from a plain question. It is free to use under the Apache 2.0 licence and small enough for phones and laptops (InfoQ China).
Shrinking its number lists saves about five sixths of the storage, but search quality drops to about 90% for text and about 75% for pictures, video and speech.
Why it matters: Small free models mean businesses can read invoices and search their own files on their own computers, without sending private data to a cloud.
New AI models
