IT, Cloud & DevOps Blog

Auto-review - auto review free chatgpt codex all users a zen sand garden tray with a rake and two stones

OpenAI Makes ChatGPT Auto-review Feature Free for All Users

OpenAI has made Auto-review, the Codex setting where a second AI agent approves or blocks a coding agent’s risky actions, free for everyone signed in with a ChatGPT account. We explain how it works, what OpenAI’s own evaluation numbers show, what it will not protect against, how businesses can configure it and why free matters.

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Google Drive and Docs Add Native Support for Markdown Files

Google Docs can now open, edit and comment on .md files without converting them, and Drive renders them as formatted previews. We explain what changed from the 2022 and 2024 features, why Google ties it to AI agents, what formatting is lost, the admin questions it raises and what teams should do this month.

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South Korea Warns of Possible AI Use in Banking Hacks

South Korea’s president says there are signs AI was used in a wave of hacks that exposed more than 68,000 records at seven lenders, including Shinhan, KB Kookmin and Hana. We set out what leaked, the week’s timeline, what the ARTEX AI tool is, how attackers used broker and staff side systems, why Woori and NH Nonghyup held, and what UK firms should copy.

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From Scan to Treatment Plan, AI Helps Close Breast Cancer’s Deadliest Gaps

NVIDIA has profiled four Inception startups using AI across the breast cancer pathway: iSono Health’s wearable 3D ultrasound, Whiterabbit.ai’s density and risk tools, Ataraxis AI’s treatment predictions and SimBioSys’s 3D surgical models. We set out the care gaps with the latest figures, what each company does, what the MASAI and PRAIM trials show and what it means for the NHS.

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Researchers Are Tracking a Chinese AI ‘Agent Fleet’

Independent researchers have traced a fleet of parallel AI agents to Tencent Cloud, where they queried Alibaba’s Amap for the entrances of parks, zoos and hospitals, leaving a trail on urlquery.net. We explain the numbers, why it is a fleet and not a swarm, why some runs called themselves Claude, how it fits the run of rogue agent incidents and what website operators should do.

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Figure to Launch Hark Proactive AI Assistant This Week

Brett Adcock says Hark, the personal AI assistant from his company Hark Labs, launches this week, with a free paid plan for the first 100,000 sign-ups. We set out what Hark’s App Store listing, terms of service and development builds reveal, how its Handoff browser agent scores on benchmarks, the $700 million behind it and the risks of handing an AI agent your logins.

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Open or Closed AI? How Founders Are Choosing What to Build On at TechCrunch Disrupt 2026

Four TechCrunch Disrupt 2026 sessions, from Together AI, CapitalG and Pathway to Oumi, Nvidia and Ricursive Intelligence, tackle how founders choose between frontier APIs and open-weight models. We explain what open and closed really mean, what Menlo Ventures’ data and current list prices show, and give a five-question framework for deciding what to rent, customise or own.

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Gemini Notebook Updates Usage Limits and Adds Background Generation Queue

Gemini Notebook has replaced its per-feature daily caps with one compute-based limit that refreshes every five hours up to a weekly ceiling, shows an estimated cost before you generate, and adds a Generate later queue for Video Overviews and Slide Decks. We explain how the new limits work, what each Google AI plan gets, and how to make your allowance go further.

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OpenAI Launches Visual Ads That Appear Alongside Image Generation Results

OpenAI announced ChatGPT visual ads on 5 October 2026: an image-led ad unit that will appear beneath images users are generating, tested in the US later this month. We explain how the format looks, why image generation is the first placement, the new measurement partners and partner-reported results, the brand-safety pilots, and what UK marketers and businesses should prepare.

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Ship by ContextQA Automates Regression Testing on Pull Requests

ContextQA launched Ship on 5 October 2026, an AI “autonomous quality engineer” that maps each pull request’s blast radius, runs targeted regression tests against the deployed app before merge, reproduces bug reports and turns production anomalies into new tests. We explain how it works, how it compares with test-selection tools and AI code reviewers, what its $0.025 credits cost for three kinds of team, and how to run a fair 15-day trial.

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