ai

Cloudflare claims Perplexity circumvented website scraping blocks

Cloudflare has accused AI startup Perplexity of ignoring explicit website instructions not to scrape their content.

According to the internet infrastructure company, Perplexity has allegedly disguised its identity and used technical workarounds to bypass restrictions set out in Robots.txt files, which tell bots which pages they may or may not access.

The behaviour was reportedly detected after multiple Cloudflare customers complained about unauthorised scraping attempts.

Instead of respecting these rules, Cloudflare claims Perplexity altered its bots’ user agent to appear as a Google Chrome browser on macOS and switched its network identifiers to avoid detection.

The company says these tactics were seen across tens of thousands of domains and millions of daily requests, and that it used machine learning and network analysis to identify the activity.

Perplexity has denied the allegations, calling Cloudflare’s report a ‘sales pitch’ and disputing that the bot named in the findings belongs to the company. Cloudflare has since removed Perplexity’s bots from its verified list and introduced new blocking measures.

The dispute arises as Cloudflare intensifies its efforts to grant website owners greater control over AI crawlers. Last month, it launched a marketplace enabling publishers to charge AI firms for scraping, alongside free tools to block unauthorised data collection.

Perplexity has previously faced criticism over content use, with outlets such as Wired accusing it of plagiarism in 2024.

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OpenAI to improve its ability in detecting mental or emotional distress

In search of emotional support during a mental health crisis, it has been reported that people use ChatGPT as their ‘therapist.’ While this may seem like an easy getaway, reports have shown that ChatGPT’s responses have had an amplifying effect on people’s delusions rather than helping them find coping mechanisms. As a result, OpenAI stated that it plans to improve the chatbot’s ability to detect mental distress in the new GPT-5 AI model, which is expected to launch later this week.

OpenAI admits that GPT-4 sometimes failed to recognise signs of delusion or emotional dependency, especially in vulnerable users. To encourage healthier use of ChatGPT, which now serves nearly 700 million weekly users, OpenAI is introducing break reminders during long sessions, prompting users to pause or continue chatting.

Additionally, it plans to refine how and when ChatGPT displays break reminders, following a trend seen on platforms like YouTube and TikTok.

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AI adoption soothes stress even as job fears rise among employees

A recent Fortune survey indicates that 61 percent of white‑collar professionals expect AI to make their roles, or even their entire teams, obsolete within 3–5 years, yet most continue to rely on AI tools daily without visible concern.

Seventy percent of respondents credit AI with boosting their creativity and productivity, and 40  percent say it has eased stress and improved work‑life balance. Despite these benefits, many admit to ‘feigning’ AI use in workplace settings, often driven by peer pressure or a lack of formal training.

Executive commentary underscores the tension: senior business leaders, including Jim Farley and Dario Amodei, predict rapid AI‑driven disruption of white‑collar roles. Some executives forecast up to 50  percent of certain job categories could be eliminated, though others argue AI may open new opportunities.

Academic studies suggest a more nuanced impact: AI is reshaping role definitions by automating routine tasks while increasing demand for complementary skills, such as ethics, teamwork, and digital fluency. Wage benefits are growing in jobs that effectively blend AI with human oversight.

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AI’s transformation of work habits, mindset and lifestyle

At Mindvalley’s AI Summit, former Google Chief Decision Scientist Cassie Kozyrkov described AI as not a substitute for human thought but a magnifier of what the human mind can produce. Rather than replacing us, AI lets us offload mundane tasks and focus on deeper cognitive and creative work.

Work structures are being transformed, not just in factories, but behind computer screens. AI now handles administrative ‘work about work,’ multitasking, scheduling, and research summarisation, lowering friction in knowledge work and enabling people to supervise agents rather than execute tasks manually.

Personal life is being reshaped, too. AI tools for finance or health, such as budgeting apps or personalised diagnostics, move decisions into data-augmented systems with faster insight and fewer human biases.

Meanwhile, creativity is co-authored via AI-generated design, music or writing, requiring humans to filter, refine and ideate beyond the algorithm.

Recognising cognitive change, AI thought leaders envision a new era where ‘blended work’ prevails: humans manage AI agents, call the shots, and wield ethical oversight, while the AI executes pipelines of repetitive or semi-intelligent tasks.

Scholars warn that this model demands new fairness, transparency, and collaboration skills.

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Google AI Mode raises fears over control of news

Google’s AI Mode has quietly launched in the UK, reshaping how users access news by summarising information directly in search results.

By paraphrasing content gathered across the internet, the tool offers instant answers while reducing the need to visit original news sites.

Critics argue that the technology monopolises UK information by filtering what users see, based on algorithms rather than editorial judgement. Concerns have grown over transparency, fairness and the future of independent journalism.

Publishers are not compensated for content used by AI Mode, and most users rarely click through to the sources. Newsrooms fear pressure to adapt their output to align with Google’s preferences or risk being buried online.

While AI may streamline convenience, it lacks accountability. Regulated journalism must operate under legal frameworks, whereas AI faces no such scrutiny even when errors have real consequences.

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AI tools like Grok 4 may make developers obsolete, Musk suggests

Elon Musk has predicted a major shift in software development, claiming that AI is turning coding from a job into a recreational activity. The xAI CEO believes AI has removed much of the ‘drudgery’ from writing software.

Replying to OpenAI President Greg Brockman, Musk compared the future of coding to painting. He suggested that software creation will be more creative and expressive, no longer requiring professional expertise for functional outcomes.

Musk, a co-founder of OpenAI, left the organisation after a public dispute with the current CEO, Sam Altman. He later launched xAI, which now operates the Grok chatbot as a rival to ChatGPT, Gemini and Claude.

Generative AI firms are accelerating efforts in automated coding. OpenAI recently launched Codex to create a cloud-based software engineering agent, while Microsoft released GitHub Spark AI to generate apps from natural language.

xAI’s latest offering, Grok 4, supports over 20 programming languages and integrates with code editors. It enables developers to write, debug, and understand code using commands.

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India becomes McDonald’s global AI centre in major expansion

McDonald’s has declared its intention to significantly expand its footprint in AI, setting a global target of doubling AI investment by 2027. The company has designated Hyderabad, India, as its principal hub outside the US, focusing on data governance, engineering, and platform architecture.

AI technology in India already lives in 400 locations, where order-verifying systems automatically detect and correct errors before food is served. Plans are in place to scale that capability to 40,000 restaurants by 2027, enhancing operational efficiency across global markets.

McDonald’s is expanding AI use beyond order accuracy. Leadership has prioritised tools for forecasting customer demand, adjusting real-time pricing, and analysing product performance. A personalised application in development is intended to unify operations across multiple countries.

The Hyderabad centre aims to employ 2,000 tech professionals while prioritising tool and platform development over large-scale hiring. Similar global offices are being explored in Poland and Mexico.

A creative marketing angle is also emerging: McDonald’s India’s ‘Signature Collection’ campaign used generative AI to let customers design bespoke burgers via a chatbot, augmented by AI visuals, to create engaging brand experiences.

Strategic thinking among multinationals is shifting: firms like McDonald’s, Bupa, and Tesco are setting up global capability centres in India to sidestep competition for AI talent in Western markets. These centres now perform core AI functions rather than support tasks.

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AI is the next iPhone moment, says Apple CEO Tim Cook

Any remaining doubts about Apple’s commitment to AI have been addressed directly by its CEO, Tim Cook.

At an all-hands meeting on Apple’s Cupertino campus, Cook told employees that the AI revolution is as big as the internet, smartphones, cloud computing, and apps.

According to Bloomberg’s Power On newsletter, Cook clarified that Apple sees AI as an imperative. ‘Apple must do this,’ he said, describing the opportunity as ‘ours to grab’.

Despite Apple unveiling its AI suite, Apple Intelligence, only in June, well after competitors, Cook remains optimistic about Apple’s ability to take the lead.

‘We’ve rarely been first,’ he told staff. ‘There was a PC before the Mac; a smartphone before the iPhone; many tablets before the iPad; an MP3 player before the iPod.’

Cook stressed that Apple had redefined these categories and suggested a similar future for AI, declaring, ‘This is how I feel about AI.’

Cook also outlined concrete steps the company is taking. Around 40% of the 12,000 hires made last year were allocated to research and development, with much of the focus on AI.

According to Bloomberg, Apple is also reportedly developing a new cloud-computing chip, code-named Baltra, designed to support AI features. In a recent interview with CNBC, Cook stated that Apple is open to acquisitions that could accelerate its progress in the AI sector.

Apple is not alone in its intense focus on AI. Rival firms are also increasing expectations and pressure. Sergey Brin, the former Google CEO who has returned to the company, told employees that 60-hour in-office work weeks may be necessary to win the AI race.

Reports of burnout and extreme workloads are becoming more frequent across leading AI firms. Former OpenAI engineer Calvin French-Owen recently described the company’s high-pressure and secretive culture.

French-Owen noted that the environment had become so intense that leadership offered the entire staff a week off to recover, according to Wired.

AI has become the next major battleground in big tech, with companies ramping up investment and reshaping internal structures to secure dominance.

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Zuckerberg’s billion-dollar AI buyout blocked by Aussie innovator

Andrew Tulloch, an Australian AI engineer raised in Perth, has reportedly rejected a US$1 billion (A$1.55 billion) compensation package from Mark Zuckerberg’s Meta.

Tulloch, a University of Sydney mathematics graduate with a near-perfect ATAR, co-founded the AI start-up Thinking Machines Lab earlier this year with former OpenAI CTO Mira Murati.

Thinking Machines Lab, focused on building safer, customisable multimodal AI systems, has already secured US$2 billion in seed funding and is now valued at $12 billion. Investors include major tech firms Nvidia, AMD and Cisco, and the Albanian government.

According to the Wall Street Journal, Meta attempted to acquire the company and later made direct offers to key employees. Tulloch declined the offer, which Meta dismissed as “inaccurate and ridiculous.”

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Apple’s quiet race to replace Google Search with its own AI

Apple occasionally seems out of step with public sentiment, particularly when it comes to AI. A revealing example, highlighted by Bloomberg’s Mark Gurman in his Power On newsletter, involves Apple’s initial reluctance to build a ChatGPT-style chatbot for the iPhone.

Engineers within Apple’s AI division reportedly concluded that creating such a chatbot was unnecessary. Executives in both software and marketing agreed, suggesting there was only limited consumer interest in these tools.

However, chatbots have already demonstrated strong capabilities in answering user queries—something Siri still struggles with. While Siri can manage simple phone tasks, such as setting timers and alarms, it falls short in terms of the depth and accuracy of modern generative AI models.

Currently, Siri can redirect questions to ChatGPT, but only with user consent on a case-by-case basis. The responses, however, are brief and lack the detail found in the standalone ChatGPT app.

For richer answers, users are better off installing ChatGPT or Google’s Gemini directly. Siri’s limited integration does not extend to older models, such as the iPhone 15 or 15 Plus, which lack Apple Intelligence.

Users of these devices are strongly encouraged to install the AI apps manually for a more capable assistant experience. AI is also transforming search. Apple Services chief Eddy Cue has acknowledged that AI-driven search is the future.

Nonetheless, Apple remains financially bound to Google, which pays approximately $20 billion annually to be the default search engine on Apple devices. The US Department of Justice may soon intervene, potentially disrupting a partnership crucial to the growth of Apple’s Services division.

In a bid to modernise its search experience, Apple is developing its answer engine through an internal team known as AKI (Answers, Knowledge and Information).

The goal is to build a web-crawling system capable of delivering accurate responses to general knowledge queries, similar to what ChatGPT offers. Apple is considering deploying this answer engine not only within Siri but also across Spotlight and Safari.

A standalone app may also be developed to complement these efforts. Apple has also shown interest in external AI tools, such as Perplexity. Its iOS app, boasting a near-perfect rating from almost 230,000 reviews, promises clear, up-to-date answers, a long-time demand from users frustrated with Siri’s limitations.

The success of Apple’s in-house AI search project will be closely watched. Many iPhone users are hopeful that the next wave of AI tools will finally deliver the intelligence and responsiveness long expected from Apple’s digital assistant.

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