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Flash

Bonk Guy: The Fomo project will complete integration on Arc within a few days

Bonk Guy (Unipcs) posted that Fomo is expected to complete integration within a few days after the launch of the Arc chain, which changes its short-term judgment on Arc. He stated that builders related to Arc have recently contacted early on-chain traders multiple times, indicating their desire to generate early traffic for the new chain through Meme coin activities.Bonk Guy believes that the main opportunities on-chain this cycle are still concentrated in Robinhood, BNB, and Solana, and does not think Arc will become the next mainstream chain. However, he pointed out that Fomo has not yet integrated Hyperliquid, Tron, or TON, all of which have seen Meme assets with market capitalizations exceeding 100 million dollars. Therefore, if Arc connects with Fomo early after its launch, it could bring short-term trading opportunities. He revealed that he has purchased the native token LONG of the main launch platform Long, as well as the top three Meme coins on that platform.His core judgments include: Fomo will integrate Arc, Arc is actively attracting early on-chain traders, and Arc may learn from Robinhood's path of launching ecological growth through Meme activities. Bonk Guy also emphasized that the layout related to Arc is a short-term high-risk experiment and reminded to currently avoid using trading bots like Basedbot and GMGN to prevent significant slippage due to routing to incorrect liquidity pools.

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 North Korea uses IT employees from third countries to infiltrate American companies, paying interview assistants with cryptocurrency

According to NBC, North Korea is utilizing remote IT workers from third countries such as Iran and Lebanon to assist in infiltrating American companies and obtaining funds to finance its weapons programs. Alerts issued by the U.S. and several foreign agencies in July indicated that North Korean IT workers "seek to sign contracts with the intention of remitting salaries back to relevant North Korean agencies," while also posing internal threats to companies, involving data leaks, cryptocurrency theft, and sensitive information theft.As governments like the United States increase countermeasures, North Korea is increasingly leveraging third-country IT workers to secure job interviews, and after obtaining work contracts, the relevant positions are typically taken over by North Korean agents. Reports indicate that these foreign IT workers are scouted on LinkedIn, with some earning about $500 per month in cryptocurrency to work part-time as "interview assistants."Cointelegraph reported in May, citing data from cybersecurity company CrowdStrike, that state-affiliated North Korean hackers and threat actors caused cryptocurrency losses exceeding $2 billion in 2025, a 51% increase year-on-year. The Bank of Korea estimates that despite facing global sanctions, North Korea's GDP will still grow by 3.5% in 2025.

first_img After the release of GPT-6 Astra, users complained that it became less intelligent, and OpenAI has not yet responded

According to a report by Decrypt, OpenAI's latest flagship model GPT-6 Astra has seen a surge of user complaints on the X platform about its performance "getting dumber" just a week after its release. An anonymous developer, synthwavedd, posted that "Astra feels noticeably dumber today," joking that it was a "post-release lobotomy." Previously praising the model, developer Pranjal Paliwal stated after reviewing the code Astra wrote for him: "We don't have AGI; what we're encountering is a performance regression."Developer Pankaj Kumar listed the symptoms: faster responses with poorer quality, and he suspects OpenAI has lowered the "juice value" (the computational power invested by the model before answering). Salio and researcher Md Ismail Sojal compared Astra on the release day with the current version using the same prompts, both yielding worse results. T3Chat founder Theo believes Astra is simply less stable than Claude Fable, with users beginning to showcase poor results after the honeymoon period ended. There are also opinions pointing out that OpenAI's previous flagship GPT-5.6 Sol experienced a similar cycle in July, when OpenAI executive Tibo Sottiaux denied intentionally weakening the model but admitted the company had been experimenting with "reasoning effort" settings.OpenAI has not released a statement regarding Astra similar to that of Sol.
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