Kristalina Georgieva says online fraud could lead people to opt out of system and turn to'shoeboxes under their bed' The heads of the Bank of England and the International Monetary Fund have issued a stark warning that rising cyber-attacks risk undermining trust in the financial system. Speaking on a panel about online fraud at the IMF and World Bank meetings in Bangkok, the governor of the Bank of England, Andrew Bailey, pointed to alarming headlines about self-replicating AI agents hijacking personal devices, and the French supermarket hack that heated fridges up to 50C . "If you try to say what's at the heart of this debate about AI - for me, it's about trust in technology and it's about human control to achieve that trust in technology," he said. Pointing to the key importance of technology in underpinning today's financial system, he added: "If we don't have trust in money, we don't operate as a society." Echoing his concerns, the IMF's managing director, Kristalina Georgieva, said the toll of cyber-fraud was now so great that people could decide to opt out of the formal financial system altogether.

International Monetary Fund Managing Director Kristalina Georgieva speaks during the IMF/World Bank 2026 Annual Meetings in Bangkok on Monday. The head of the International Monetary Fund has warned of the disruptive threat from artificial intelligence to the labor market and taxation, urging policymakers to rethink education and act now to help society adapt. "It is a slow-moving tsunami, but tsunami none the less," Managing Director Kristalina Georgieva said Monday during her first appearance at the annual meetings of the IMF and World Bank in Bangkok. Speaking at a session on AI's impact on employment, she said the technology is already hollowing out demand for many human workers by taking over routine, repetitive tasks. At the same time, it is increasing low-paying jobs in sectors like construction, which she said is "not a story to celebrate."

Thai police have arrested a Buddhist monk on suspicion of embezzling 100 million baht ($3m; £2.2m) from his monastery, along with a suspected female accomplice he was filmed having sex with. Phra Wachirayan Wi, a former abbot at the prominent 14th-Century Wat Phutthaisawan in the ancient capital of Ayutthaya, allegedly pocketed donations meant for the temple on more than 20 occasions over two years. In Thailand, Buddhist monks take a vow of celibacy and also renounce material possessions. He was defrocked after his arrest. He has yet to comment publicly.

Protesters have gathered outside the Israeli embassy in Bangkok to protest against offensive behaviour by Israeli tourists, and alleged inappropriate land acquisition strategies. The Trump loyalty test: Will his supporters ever disagree with him?

Air India pilot's reported cannabis test: What it can and can't tell investigators Reports that an Air India pilot tested positive for cannabis after a flight sound like the sort of finding that should make an aviation investigator sit up. But the reported result has not been officially confirmed, and even a confirmed positive would not necessarily be the smoking gun it might appear to be. On 4 August, an Air India Airbus A320 flying from Phuket to Delhi suddenly lost about 91m (300ft) of altitude, injuring 13 passengers and four crew members. The aircraft, carrying 137 passengers and eight crew, landed safely in Delhi. The incident is under investigation.

Do rage workouts really help to blow off steam? Research suggests that using exercise as an outlet for anger and frustration may be counterproductive. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Doing martial arts, such as Thailand's traditional martial art, Muay Thai, depicted here, is not the best way to calm your nervous system down if you're angry. Breakthroughs, discoveries, and DIY tips sent six days a week.

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One of Meta's Offices Was Briefly Overtaken by a Rogue Squirrel The animal escaped after apparently arriving inside a package at Meta's Bangkok office, injuring one employee before finally being caught. Meta's year so far hasn't exactly been a picnic. A squirrel apparently got loose inside a building in Bangkok, Thailand, where some of the tech giant's regional teams are based. The critter spent at least 20 minutes darting past staff, according to an internal memo seen by WIRED. It noted that the squirrel minorly injured a janitor before finally being caught.

People visit the Delta Electronics booth during the annual Computex trade show in Taipei, Taiwan, on June 3, 2026. Thailand's stock market is having the best year among Southeast Asian peers, as investors discover an unlikely source of exposure to the global artificial-intelligence boom. Much of that gain has come from Delta Electronics (Thailand). The maker of power systems for AI data centers has surged more than 80% this year and became Thailand's first $100 billion company, large enough to be worth more than the next four largest Thai stocks combined. While the country lacks the semiconductor champions of Taiwan or South Korea, investors are increasingly recognizing its role in supplying the infrastructure behind AI. "Thailand isn't a pure AI market, but its exposure to data centers, electronics, power systems and digital infrastructure gives investors a new way to view Thai equities beyond the traditional tourism, banks and domestic consumption cycle," Bloomberg Intelligence Strategist Sufianti said in a note. Delta's rise is the clearest evidence of that shift.

Recent advances in Large Language Models (LLMs) have highlighted the critical importance of extending context length, yet the quadratic complexity of attention mechanisms poses significant challenges for efficient long-context modeling. KV cache compression has emerged as a key approach to address this challenge. Through extensive empirical analysis, we reveal a fundamental yet previously overlooked asymmetry in KV caches: while adjacent keys receive similar attention weights (local homogeneity), adjacent values demonstrate distinct heterogeneous distributions. This key-value asymmetry reveals a critical limitation in existing compression methods that treat keys and values uniformly. To address the limitation, we propose a training-free compression framework (AsymKV) that combines homogeneity-based key merging with a mathematically proven lossless value compression. Extensive experiments demonstrate that AsymKV consistently outperforms existing long-context methods across various tasks and base models.