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The U.S. CLARITY Act is entering a critical two weeks, with multiple parties intensifying discussions during the Senate recess

According to Crypto in America, the U.S. Senate will recess until July 13, and the advancement of the CLARITY Act depends on the progress of behind-the-scenes coordination over the next two weeks. Staff from both parties, government officials, and industry stakeholders are working to resolve remaining differences, including reconciling text discrepancies between the Banking Committee and the Agriculture Committee, as well as reaching consensus on ethical standards and provisions to combat illegal financial activities.The bill requires the support of at least 60 senators to pass. Even if all 53 Republican votes are in favor, at least 7 Democratic senators will need to join; the support of the majority of Democrats may depend on whether the White House can agree to establish a strong ethical framework regarding issues related to Trump's cryptocurrency business. According to Reuters, since Trump's return to the White House, his cryptocurrency business has generated over $2 billion in new wealth for him.Additionally, major law enforcement groups still oppose the inclusion of provisions from the Blockchain Regulatory Certainty Act in the bill, arguing that it would increase the difficulty of investigating and prosecuting on-chain crimes. Remaining discrepancies in the Agriculture Committee's text include issues such as the prioritization of federal law over state law, management of conflicts of interest in exchanges, and restrictions on related-party transactions. Sources indicate that the parties have not yet reached a final agreement, and there remains uncertainty about whether the Senate vote can be completed before the August recess.

Kimi B's head of the department: There is a bubble in the AI industry, but the fundamentals are solid; the price increase of APIs is due to tight computing power

According to a report by 21 Finance, Huang Zhenxin, the head of Kimi B-end at Moonshot AI, stated in a recent communication meeting that there is indeed a bubble in the current AI industry, but the fundamentals are very solid. Enterprises can now clearly calculate the return on investment (ROI), and the substantial transformation in productivity brought by AI has already occurred.Regarding the recent phenomenon of widespread price increases among model vendors, Huang Zhenxin pointed out that the core reason lies in the rising global computing power costs, and chip production capacity cannot meet the explosive growth in Token demand. He emphasized that evaluating the cost-performance ratio of models should not only look at the unit price of input and output but should also focus on the Cache hit rate. It is reported that Kimi's original factory Cache hit rate has reached over 90%, significantly reducing actual computing costs.In addition, Huang Zhenxin revealed that Kimi will continue to challenge innovations in underlying architecture to sustain the Scaling Law, and its Muon optimizer, which has been validated on a large scale, is now widely adopted by several mainstream large models in the industry. Regarding the "last mile" of enterprise AI implementation, he believes that as the foundational capabilities of models continue to strengthen, the technical paradigms at the application layer will also continue to simplify.

first_img South Korea announces large-scale project plans for chips and artificial intelligence data centers

The South Korean government has announced significant project plans in the areas of chips, physical artificial intelligence, and artificial intelligence data centers. South Korean President Lee Jae-myung stated that it is necessary to ensure the development of artificial intelligence elements faster than other countries, and chip production construction must be completed as soon as possible.The current factory site selection is nearing its limits in terms of water resources and other infrastructure. The southwestern region will invest between 50 trillion to 200 trillion won in the new projects, while Gwangju and Jeolla may invest 52 trillion won in the projects. Regarding the detailed planning for the factories, the South Korean government announced that it is expected to build four chip factories in the southwest, with an investment of about 800 trillion won; Samsung Electronics and SK Hynix will each build two new factories; it is expected that investment in the chip sector will reach at least 300 trillion won over the next 15 years, including next-generation memory, edge artificial intelligence, and defense.Investment in the chip packaging cluster in the Chungcheong region is expected to reach 81 trillion won. It is anticipated that approximately 55 trillion won will be invested in the construction of artificial intelligence data centers. The South Korean government expects to double DRAM production capacity within five years, and the global memory market is expected to quadruple in five years. The South Korean side also stated that it seeks to distribute the growth dividends to the public.

Robinhood's second-quarter revenue is expected to reach $123 million, potentially surpassing cryptocurrency trading income

According to Dr. Crossroads' analysis, Robinhood's event prediction market revenue is expected to surpass its traditional cryptocurrency trading revenue as early as the second quarter of this year. Data shows that as of June 25, Robinhood has recorded approximately 12.3 billion event contract trades in the second quarter. Based on the usual 1 cent per contract revenue share, this is expected to contribute at least $123 million in single-quarter revenue, pushing the annualized revenue rate (ARR) of this business to $500 million. In comparison, due to the decline in institutional trading volume, its cryptocurrency business revenue in the second quarter is expected to fall below the first quarter's $134 million.At the same time, Robinhood's newly launched prediction market platform Rothera has surpassed 900 million contracts traded in its first week, bringing nearly 60% of potential contract trading increment to the company. Through Rothera's full-stack self-research and vertical integration, Robinhood plans to change the current fixed model where users pay 2 cents per contract (with the company and partner exchanges each receiving 1 cent), reducing the new fee rate to a minimum of 0.6 cents. This move aims to sprint into the top three in the industry through core price advantages while retaining the economic benefits of trade execution entirely within its ecosystem while passing savings on to users.

SBI Holdings acquires Bitbank for $289 million, creating Japan's largest cryptocurrency exchange; bipartisan U.S. senators urge CFTC to investigate Polymarket's "deceptive marketing."

According to BBX data, last weekend Japan's largest financial group completed the most important cryptocurrency acquisition, and U.S. bipartisan senators launched a new regulatory offensive against prediction market platforms. The core developments are as follows:SBI Holdings, Inc. (Tokyo Stock Exchange: 8473) announced the acquisition of the Japanese cryptocurrency exchange Bitbank (privately held) for approximately $289 million. After the transaction is completed, SBI's cryptocurrency business will surpass all competitors, creating Japan's largest cryptocurrency exchange. SBI Holdings is one of Japan's largest independent financial services groups, already owning cryptocurrency-friendly network bank SBI Shinsei Bank, cryptocurrency asset custodian SBI Digital Asset Holdings, and multiple Bitcoin mining and cryptocurrency venture capital investments. Bitbank is one of Japan's largest spot BTC exchanges and holds an official cryptocurrency exchange license from the Financial Services Agency (FSA) of Japan. This acquisition marks a shift for traditional Japanese financial institutions from "strategic trial" in the cryptocurrency sector to "scale acquisition dominance," alongside the joint stablecoin plan of the three major banks: Mitsubishi UFJ ($MUFG), Sumitomo Mitsui ($SMFG), and Mizuho ($MFG) (targeting March 2027), forming the most intensive wave of cryptocurrency layout in Japan's financial industry by 2026.U.S. Senators John Curtis (Republican, Utah) and Adam Schiff (Democrat, California) reported on June 28 that they jointly sent a letter to the CFTC, urging it to conduct a formal investigation into the prediction market platform Polymarket (privately held), citing a "concerning" investigative report regarding Polymarket's "deceptive marketing" practices, which accused it of systematic misleading in user acquisition and risk disclosure. This is the third regulatory offensive against prediction market platforms initiated by Congress this year (previously, the House Oversight Committee launched an insider trading investigation on May 22); the two senators come from different parties, which is significant. For Robinhood Markets, Inc. (NASDAQ: $HOOD), this investigation poses indirect pressure—Robinhood's prediction market/event contract business (which achieved a record daily trading volume in June) faces the same regulatory qualitative disputes as Polymarket; however, Robinhood's defensive advantage lies in its ongoing application for a CFTC Designated Contract Market (DCM) license, providing a clearer compliance path compared to Polymarket.

OpenAI has launched the next generation GPT-5.6 series models, currently available only to trusted partners using Codex and the API

According to official news, OpenAI has officially launched the preview version of the next-generation GPT-5.6 series models, including the flagship model Sol, the balanced model Terra, and the fast low-cost model Luna. GPT-5.6 introduces a brand new maximum reasoning effort and features a super strong mode that accelerates complex tasks through sub-agents.The flagship model Sol introduces the Ultra mode, which combines maximum reasoning intensity with sub-agent collaboration. In the Terminal-Bench 2.1 command line workflow test, Sol achieved a score of 88.8%, which increased to 91.9% in Ultra mode, surpassing GPT-5.5's 83.4% and Claude Fable 5's 88.0%. The mid-range model Terra performs close to GPT-5.5 while being priced at half, and the lightest model Luna is designed specifically for everyday automation tasks. Sol is priced at $5 per million input tokens and $30 for output, and it supports reducing secondary call costs by utilizing prompt caching.In terms of security, the security assessment confirmed that Sol did not exceed the critical thresholds of the Preparedness Framework cybersecurity. OpenAI has invested over 700,000 A100 equivalent GPU hours in automated red team exercises, equipping the entire series of models with a defense stack that includes rejection mechanisms, real-time abuse classifiers, and account-level audits. Although the current limited release follows the U.S. government's security framework, OpenAI emphasizes that it does not want a government-led access mechanism to become the long-term default model, as it would limit defenders' access to cutting-edge tools.
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