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first_img Fake AI trading robot tutorial deceives 224 victims into deploying malicious contracts

On September 14, blockchain intelligence company TRM Labs released a report revealing that fake YouTube tutorials lured 224 victims into deploying and funding malicious smart contracts under the guise of building AI-based crypto arbitrage bots, resulting in the theft of 274.6 ETH. TRM identified a total of 234 contracts deployed by the victims, with funds ultimately flowing into six collection addresses controlled by the operators. The stolen ETH was worth approximately $517,000 at the time of the transfer, with a median loss of 1 ETH per incident.Unlike common wallet theft attacks, this scam did not involve phishing links, spoofed domains, or malicious authorization prompts. Victims chose the tutorials themselves, copied the code, deployed the contracts, and funded them from their own wallets, with each step authorized by the victims themselves. As a result, wallet security warnings and phishing blacklists could not be triggered. TRM discovered nine nearly identical YouTube tutorials disguised as different creators, using AI-generated virtual hosts and voiceovers, promising to build fully automated crypto trading bots with Claude, and guiding victims to a compiler website controlled by the operators, some of which mimicked the commonly used Remix development environment.In one variant analyzed by TRM, a backend script would discard the source code pasted by the victims and retrieve another contract from the operator's server, with the clean code displayed on the screen never being on-chain. The replaced contract accepted deposits and transferred any balance over 0.05 ETH to the operators when the victims pressed Start or Withdraw, with no arbitrage logic or AI functionality included in the contract.

first_img King Charles convenes executives from OpenAI, Anthropic, NVIDIA, and others to discuss AI safety

On September 17, King Charles III of the United Kingdom convened executives from Nvidia, OpenAI, Anthropic, and Google DeepMind for an AI safety summit at Dumfries House in East Ayrshire, Scotland, calling for artificial intelligence to be "firmly placed on the track of serving humanity." The summit was jointly organized by the Ditchley Foundation and three of the King's charitable organizations, with UK AI Minister Kanishka Narayan also in attendance. Buckingham Palace stated that the representatives discussed whether the industry and government could reach a consensus on a set of common guiding principles for AI development, but no binding agreements were announced.A few days before the summit, Anthropic CEO Dario Amodei published a lengthy article titled "We Must Pace the Frontier," advocating that the industry should deliberately slow down the pace of model capability enhancement. OpenAI's Sam Altman and xAI's Elon Musk both publicly expressed their agreement within a day. In the article, Amodei pointed out that AI systems are increasingly capable of improving their own successors and mentioned an incident involving an OpenAI agent escape. OpenAI President Greg Brockman confirmed that the incident had forced the company to delay multiple releases and restructure its model development and monitoring processes, while advocating that the slowdown should only apply to laboratories building the most powerful frontier systems. On the first trading day after the news was released, Nvidia briefly fell by 3%, Intel dropped over 5%, and AMD declined by about 6%.

first_img Security personnel at California technology company plan to strike this week

According to Business Insider, security staff providing services to tech companies such as Anthropic, Google, and OpenAI in California plan to strike this week, which may lead some tech companies to close their offices and require employees to work from home. On Tuesday morning local time, security personnel submitted a 72-hour strike notice to the relevant companies, planning to refuse to participate in work shifts starting from 4:30 AM on Friday.The United Service Workers West Union stated that the security personnel who may participate in the strike are responsible for guarding the offices of companies like Amazon, Microsoft, Salesforce, OpenAI, Anthropic, Google, Meta, and Nvidia. Currently, tech companies in the Bay Area have not announced any office closures due to the strike. This labor dispute involves several security service companies, including Allied Universal, Securitas, and GardaWorld, with the union representing approximately 14,000 security personnel in California. Negotiations over a new labor contract have been ongoing for several months.Security personnel are demanding higher wages, improved healthcare benefits, and better job training. A union spokesperson stated that both parties will continue negotiations on Wednesday and Thursday of this week, and as of Tuesday, the strike has not been finalized. The union plans to organize a march for security personnel in downtown San Francisco on Tuesday, ending at the Salesforce Tower, where Salesforce's headquarters is located. On September 3, security personnel voted to authorize the strike at a rally in San Francisco.

Analyst: The AI competition in the United States is difficult to "slow down," and safety regulations may instead reinforce the advantages of leading laboratories

Analyst Jukan from Citrini forwarded a research report from Tianfeng Securities and stated that the U.S. government needs to maintain its leading position in the AI field, making it difficult to truly stop once it enters the AI race. Jukan believes that the recent calls from Anthropic and OpenAI to slow down AI development should not be viewed solely as safety initiatives; there may also be multiple considerations behind it, such as the inability to slow down competition and consolidating leading advantages through safety regulation.Jukan further pointed out that the related "AI slowdown" calls seemingly stem from the challenges of safety testing, operational monitoring, and third-party validation keeping pace with the speed of model iteration. In the short term, this may suppress market sentiment in the AI sector and lower market expectations for the next generation of models; another possibility is that the industry remains optimistic about AI in the long term but wishes to delay the next round of significant R&D investment, prioritizing the commercialization of existing products and reducing infrastructure and capital expenditure pressures. He believes that the AI race is essentially similar to a "prisoner's dilemma," where all parties wish to slow down, but no one dares to be the first to stop, or they may lose technological, customer, and financing advantages.Jukan also mentioned that Anthropic and OpenAI have recently emphasized recursive self-improvement (RSI), which is related to AI already assisting in the development of the next generation of AI and the acceleration of model iteration speed; at the same time, it has been reported that during internal testing at OpenAI, incidents occurred where agents collaborated to escape the sandbox and intrude into Hugging Face's production servers. Jukan believes that as the release of models incurs expensive evaluation, certification, and ongoing audit costs, large laboratories are better able to bear these fixed costs, while smaller teams may face higher entry barriers as a result; if leading laboratories further participate in the formulation of evaluation standards, industry barriers may continue to rise.

first_img Cronos rolled back the blockchain to recover 111 million USD in stolen funds

Cronos confirmed in a post-mortem report that the attack on the lending platform Tectonic on August 30 involved $120.4 million in borrowing activities. The validators made the "difficult decision" to roll back the on-chain history, successfully recovering approximately $111.2 million (about 92% of the affected funds), while about $9.19 million flowed out before the network was paused and could not be recovered. The attacker leveraged weak DEX liquidity to inflate the price of Tectonic token TONIC by about 100 times within minutes and borrowed $120.4 million through a single transaction across nine markets. The validators paused the network about two hours later, restoring the chain to the last block before the suspicious activity, with block production resuming approximately 11 hours after the attack. The rollback involved reversing 1 hour and 54 minutes of on-chain history, totaling 10,961 blocks, with all transactions within that window being canceled, regardless of whether they were involved in the attack. Cronos stated that the alternative would have been to restart the network without restoring the previous state, which would have left the stolen assets in the hands of the attacker. This rollback closely followed Harmony's announcement of a similar plan, while Flow abandoned its rollback proposal last December due to community opposition. The validator cap for Cronos is 100, which facilitated quick coordination for the pause and restart, but also indicated that the network's finality in emergencies depends on validator consensus.

first_img OpenAI suspends training of the Astra model due to safety issues

According to TIME, OpenAI CEO Sam Altman recently stated in an interview that the company has previewed the upcoming cutting-edge model series Astra to key clients. In the demonstration, 16 AI agents can collaboratively break down mathematical problems and assemble proofs, and Astra can operate computer software across applications at superhuman speeds. Altman mentioned that Astra will support "persistent agents" capable of performing long-term tasks and is expected to be the first model that can invent new things in a meaningful way, possessing characteristics of AGI.Over the past year, OpenAI has fallen behind expectations in product direction and pre-training research, being surpassed by Anthropic in programming products, annual revenue, and valuation. The company has experienced multiple executive departures and is facing challenges such as several product liability lawsuits and legal disputes with Apple and Musk. OpenAI's current valuation is nearly $1 trillion, with ChatGPT having over 1 billion monthly active users.Recently, OpenAI disclosed a security incident: an unreleased agent escaped the sandbox and attacked Hugging Face. Following this, the research team froze some experiments, enhanced monitoring, and paused the training of an unreleased model expected to bring the greatest capability leap until new safety measures are in place. Altman emphasized that "ensuring AI safety is more important than the growth momentum of any company," and the company will slow its pace and allocate resources to safety and alignment teams. Chief Research Officer Mark Chen estimated that the company is about 80% complete in reaching AGI, and Altman stated that the internal system may be referred to as AGI by the end of the year.
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