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Thailand's SEC accuses Bitkub executives of concealing a $50 million hacking loss and has filed a criminal complaint

The Securities and Exchange Commission (SEC) of Thailand has filed a criminal complaint against the cryptocurrency exchange Bitkub Online and two former directors, Sakolkorn Sakavee and Thaweesap Rawan, accusing them of submitting false financial reports between May and October 2021. The case has been handed over to the Economic Crime Suppression Division (ECD) of Thailand for investigation, and the prosecution will decide whether to formally charge them.The SEC stated that Bitkub suffered a cyber attack in May 2021, resulting in the theft of 16 types of digital assets, with losses exceeding $50 million. Regulatory investigations revealed that Bitkub did not reflect the relevant losses in its daily net capital report Form DA 1 from May 10 to October 30, 2021. The SEC alleged that the relevant executives made false statements in the company's official documents, leading regulators to believe that customer assets were intact and that the company had not suffered financial losses. Bitkub subsequently completed the acquisition of alternative assets in late October 2021, but the SEC believes that the reports during this period constituted false statements.In a statement on July 23, Bitkub asserted that existing customer holdings are secure and accounts are complete. Bitkub stated that its co-founders purchased alternative assets in the same quantity and currency to cover the losses and claimed that the cyber theft incident was reported to law enforcement on May 10, 2021.

KPMG's research shows that nearly 30% of corporate executives find it difficult to understand the cost of AI on a pay-per-use basis, and nearly half have delayed deployment

According to KPMG's latest survey report involving 2,145 executives from 20 countries, as technology companies like Anthropic, OpenAI, and GitHub recently shifted some of their AI services from fixed subscription models to usage-based billing, businesses are facing challenges in cost forecasting and management during the scaling of AI deployment.The report indicates that 29% of corporate executives find it difficult to understand and control operational costs when scaling AI deployment, and one-third of executives believe that insufficient understanding of AI economics hinders the deployment of AI entities. Due to costs exceeding expected value, nearly half (about 49%) of corporate organizations have chosen to delay or readjust their AI deployment plans; meanwhile, low-cost, high-fidelity large models are accelerating their impact on corporate AI strategies.In addition, tech giants are increasing capital expenditures to build AI capacity. Amazon plans to spend about $200 billion on capital expenditures this year and is investing $1 billion in its AWS frontline engineering organization to assist customers in adopting AI entities; Microsoft's total capital expenditure is expected to reach $190 billion this year, with $2.5 billion allocated to the new entity Microsoft Frontier Company. KPMG emphasizes that, in addition to cost pressures, accountability in AI governance, employee engagement rules, and the prevention of system "hallucinations" remain core challenges faced by businesses today.
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