OpenAI's Brockman Says Safety Concerns Have Already Slowed Its Most Advanced AI Work
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Red Flag? OpenAI's Agentic ChatGPT Work Signs Into Your Accounts Without You
OpenAI says the model never sees your password—but a signed-in session can persist across tasks, and you can step away while it works.
Myanmar's telecom fraud AI industrialization exposed: Starlink becomes key infrastructure, encrypted payments and OpenAI/Google models are incorporated into the toolchain.
According to a report by Red Star News, citing Mars Finance, an investigative report leaked from a scam industrial park in Myanmar reveals that global telecom fraud is rapidly evolving towards an "AI industrialization + cross-border encrypted payment" system. These fraud networks use cryptocurrencies to transfer funds and employ automated tools based on large models for multilingual script generation, identity spoofing, and emotional manipulation. The investigation shows that these systems heavily utilize OpenAI's ChatGPT and Google's Gemini to support "large-scale social fraud," while funds are rapidly laundered and transferred through on-chain payments and cross-border channels, forming a two-tiered structure of "AI customer acquisition + encrypted settlement," enabling the fraud industry to achieve a high degree of automation and transnational expansion. Furthermore, Elon Musk's Starlink has become the leading network service provider in the Myanmar scam industrial park, with US ISPs handling nearly one-fifth of the park's traffic. In response to the allegations, OpenAI stated that the behavior of fraudsters using ChatGPT is highly similar to that of ordinary users, making identification difficult, but they have already blocked approximately 100,000 suspicious accounts monthly through behavioral pattern recognition and risk control systems. Google stated that its AI models have safety barriers in place and emphasized its commitment to "responsible AI development" to limit the tools from being used for illegal purposes such as fraud.
Circle CEO Responds to Competition Concerns Regarding OUSD: Stablecoins are Winner-Take-All! USDC's Decade-Long Network Effect Creates a Triple Moat
According to Mars Finance, on July 1st, Circle co-founder and CEO Jeremy Allaire responded to investors' questions regarding the competition from the emerging stablecoin OUSD, emphasizing that stablecoins are a business built on long-term platform and network effects, with a significant winner-takes-all characteristic. USDC's network strength stems from three barriers: First, the network effect of developer and application integration: thousands of services have integrated USDC, each integration amplifies network utility, forming a positive flywheel of developer preference and user stickiness; Second, the liquidity network effect: USDC is currently the third most liquid digital asset globally, alongside BTC and USDT, while other USD stablecoins have only one-tenth of its liquidity and are highly concentrated on promotional accounts on a single trading platform. USDC's liquidity is dispersed across dozens of exchanges, and it took nearly a decade to build this global liquidity foundation; Third, deep integration of policy and regulation: USDC is the only large-scale global stablecoin simultaneously covering Europe and Japan, and Circle continuously invests in the global banking system, reserve management, and near-24/7 liquidity infrastructure. Artemis data shows that USDC processed nearly $30 trillion in on-chain transactions in Q1 2026, accounting for 80% of all USD stablecoin transactions. Allaire addressed OUSD's core selling points point by point: First, while free minting and redemption are theoretically attractive, the market reality is that stablecoins with strong redemption capabilities, high liquidity, and zero fees naturally become exit channels for competitors. Circle addresses this issue through contractual mechanisms rather than general fee waivers. Second, while "everyone sharing the profits" sounds appealing, Circle has already distributed most of its revenue to distribution partners, while retaining sufficient revenue to continuously invest in the infrastructure that makes USDC a global utility—"distributing all revenue will only starve the infrastructure." Third, while the consortium governance model is attractive, its history of scaling and product agility is extremely poor. Large corporations often suffer from poor coordination, inconsistent incentives, and self-interest that stifles consortium operational investment. Circle attempted a similar model in the early days of USDC, encountering immense challenges even on a small scale; small, focused strategic partnerships and independently driven business partnerships almost always prevailed. Allaire also explicitly stated that Circle's stablecoin partnership with Coinbase remains strong, with both parties seeing significant opportunities to expand the USDC network. He expressed optimism about the overall growth of the stablecoin ecosystem, welcomed OUSD, and revealed that Circle is continuously expanding its partnerships with dozens of other stablecoin issuers through platforms such as Arc, CCTP, CPN, StableFX, and Agent Stack, even though some of these partners compete with Circle in other areas of their business. Last night, Open Standard announced the launch of OpenUSD, a new stablecoin backed by over 140 companies including Visa, Stripe, Mastercard, BlackRock, and Coinbase. According to BIT (bit.com) market data, Circle's stock price fell over 16% on Tuesday as a result, but has since rebounded briefly to a 1.55% gain in pre-market trading.
OpenAI Chief Scientist Warns AI Labs May Need to Slow Down
Jakub Pachocki is calling for mandatory safety standards as OpenAI finds it harder to monitor advanced AI models’ reasoning.
The US plans to release industry standards for AI models, which could restrict the businesses of companies like OpenAI and Anthropic.
According to a report by the Financial Times, the US government is in talks with several AI companies to release voluntary industry standards for cutting-edge AI models as early as next week, aiming to prevent the misuse of advanced technologies by other countries. The standards will clearly define performance benchmarks, release dates, and domestic and international access permissions for these models. Due to recent tightening regulations, several leading AI companies have already adjusted their operations. OpenAI has postponed the full release of GPT-5.6 at the government's request, only making it available to a limited number of qualified partners; Anthropic's two top models were just released from export restrictions this week after nearly three weeks of restrictions; and Google is also in close communication with the government while preparing its next-generation code models. The report also mentions that both OpenAI and Anthropic, currently under regulatory scrutiny, are actively preparing for initial public offerings (IPOs).
OpenAI's new method may improve the quality of AI-powered mental health recommendations; pre-release simulation testing is crucial.
BlockBeats reported on July 2nd that OpenAI's "Pre-Deployment Simulation" method promises to improve the performance of generative AI in mental health advice. This method tests new, yet-to-be-released models using real-world user dialogue samples from already deployed models, reviewing and optimizing their responses to identify and correct potential issues before official release. The report states that as more users seek mental health advice using large language models such as ChatGPT, Claude, Gemini, and Grok, which are not specifically designed for mental health scenarios, certain risks exist. The article argues that conducting pre-deployment simulation training for mental health scenarios can help improve the safety and effectiveness of model recommendations and reduce the risk of potential misleading information. --------------------------------- Click the original link below to join the Beating · Lark AI news channel and monitor global AI hotspots and news 24/7.