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On July 6, Lighter founder and CEO Vladimir Novakovski announced on Twitter that he has joined the U.S. Commodity Futures Trading Commission (CFTC) Innovation Advisory Committee as a member.

[Lighter Founder Joins CFTC Innovation Advisory Committee]On July 6, Lighter founder and CEO Vladimir Novakovski announced on Twitter that he has joined the U.S. Commodity Futures Trading Commission (CFTC) Innovation Advisory Committee as a member.

Lighter Founder Joins CFTC Innovation Advisory Committee

According to monitoring by Dongcha Beating, Meituan has officially open-sourced the trillion-parameter model LongCat-2.0, which has a total of 1.6 trillion parameters and an average activation of about 48 billion, specifically designed for real Agentic Coding tasks. The architecture innovatively introduces LongCat sparse attention and N-gram embedding; the former reduces fragmented memory access through fluency perception indexing and hierarchical indexing, accelerating training and inference for long contexts of millions of tokens. The latter invests 135 billion parameters into the embedding layer while maintaining a sparsity of nearly 97% in the MoE, balancing parameter efficiency and structural stability. Post-training employs multi-teacher online distillation, categorizing experts into three types: Agent, Inference, and Interaction, seamlessly integrating through the MOPD architecture on domestic computing clusters. As the first trillion-parameter model to complete inference on a 50,000-card domestic computing cluster, LongCat-2.0 validates the mature capability of domestic chips to handle complex large model tasks. To address the multiple limitations of domestic chips in terms of memory, bandwidth, and interconnectivity, Meituan has made breakthroughs in three areas: model, chip adaptation, and deployment. At the model level, ScMoE utilizes the core control capabilities of domestic chips to achieve physical core-level parallelism between Dense and MoE branches, combined with KV-cache segmentation to alleviate the memory pressure of ultra-long contexts. At the chip adaptation level, Super Kernel reduces operator startup overhead, and Weight Prefetch hides I/O latency, maximizing hardware utilization under constrained conditions. At the deployment level, PD separation balances TTFT and TPOT, along with asynchronous Expert-Parallel load balancing to address uneven loads under high EP degrees. This open-source release also provides multi-precision versions such as BF16, FP8, and INT8, and aims to fully open the inference results optimized for domestic computing power, targeting smooth deployment of trillion-parameter model inference services even on existing and older domestic cards.

[Meituan Open Sources Trillion-Parameter Model LongCat-2.0, Releases Inference Code for Domestic Chinese Chips]According to monitoring by Dongcha Beating, Meituan has officially open-sourced the trillion-parameter model LongCat-2.0, which has a total of 1.6 trillion parameters and an average activation of about 48 billion, specifically designed for real Agentic Coding tasks. The architecture innovatively introduces LongCat sparse attention and N-gram embedding; the former reduces fragmented memory access through fluency perception indexing and hierarchical indexing, accelerating training and inference for long contexts of millions of tokens. The latter invests 135 billion parameters into the embedding layer while maintaining a sparsity of nearly 97% in the MoE, balancing parameter efficiency and structural stability. Post-training employs multi-teacher online distillation, categorizing experts into three types: Agent, Inference, and Interaction, seamlessly integrating through the MOPD architecture on domestic computing clusters. As the first trillion-parameter model to complete inference on a 50,000-card domestic computing cluster, LongCat-2.0 validates the mature capability of domestic chips to handle complex large model tasks. To address the multiple limitations of domestic chips in terms of memory, bandwidth, and interconnectivity, Meituan has made breakthroughs in three areas: model, chip adaptation, and deployment. At the model level, ScMoE utilizes the core control capabilities of domestic chips to achieve physical core-level parallelism between Dense and MoE branches, combined with KV-cache segmentation to alleviate the memory pressure of ultra-long contexts. At the chip adaptation level, Super Kernel reduces operator startup overhead, and Weight Prefetch hides I/O latency, maximizing hardware utilization under constrained conditions. At the deployment level, PD separation balances TTFT and TPOT, along with asynchronous Expert-Parallel load balancing to address uneven loads under high EP degrees. This open-source release also provides multi-precision versions such as BF16, FP8, and INT8, and aims to fully open the inference results optimized for domestic computing power, targeting smooth deployment of trillion-parameter model inference services even on existing and older domestic cards.

Meituan Open Sources Trillion-Parameter Model LongCat-2.0, Releases Inference Code for Domestic Chinese Chips

On July 6, BNK Busan Bank completed a pilot for KRW stablecoin infrastructure on the Kaia Chain, aimed at digital local currency scenarios. This Proof of Concept (PoC) involved collaboration with K-STAR Alliance partners AhnLab Blockchain Company, Lambda256, and Open Asset. The test results indicated a 100% transaction success rate, with processing times under one second.

[Busan Bank Completes KRW Stablecoin Pilot on Kaia Chain]On July 6, BNK Busan Bank completed a pilot for KRW stablecoin infrastructure on the Kaia Chain, aimed at digital local currency scenarios. This Proof of Concept (PoC) involved collaboration with K-STAR Alliance partners AhnLab Blockchain Company, Lambda256, and Open Asset. The test results indicated a 100% transaction success rate, with processing times under one second.

Busan Bank Completes KRW Stablecoin Pilot on Kaia Chain

On July 6, Goldman Sachs projected that the yen will fall to 165 against the dollar within a year due to the impact of the US-Japan interest rate differential, a downward revision from its previous forecast of 155, making it one of the most bearish institutions on the yen. Strategist Fischman noted that the depreciation pressure on the yen stems from Japan's fiscal pressures, high US Treasury yields, and the slow pace of interest rate hikes by the Bank of Japan, despite the yen being severely undervalued. Positioning supports further weakness of the yen. Data shows that hedge funds' bearish bets on the yen reached a record high since 2017 last month, with the market estimating a 72% probability that the dollar will rise to 165 yen by June next year. Goldman Sachs also views the yen favorably as a funding currency for carry trades, meaning borrowing yen to invest in high-yield assets. The bank expects the dollar-yen exchange rate to be 162 in three months and 163 in six months (previously 160 and 158, respectively), and believes that the effects of official intervention will be short-lived, as the root causes of yen weakness remain.

[Goldman Sachs Cuts Yen Forecast Significantly, Predicts Drop to 165 Within a Year]On July 6, Goldman Sachs projected that the yen will fall to 165 against the dollar within a year due to the impact of the US-Japan interest rate differential, a downward revision from its previous forecast of 155, making it one of the most bearish institutions on the yen. Strategist Fischman noted that the depreciation pressure on the yen stems from Japan's fiscal pressures, high US Treasury yields, and the slow pace of interest rate hikes by the Bank of Japan, despite the yen being severely undervalued. Positioning supports further weakness of the yen. Data shows that hedge funds' bearish bets on the yen reached a record high since 2017 last month, with the market estimating a 72% probability that the dollar will rise to 165 yen by June next year. Goldman Sachs also views the yen favorably as a funding currency for carry trades, meaning borrowing yen to invest in high-yield assets. The bank expects the dollar-yen exchange rate to be 162 in three months and 163 in six months (previously 160 and 158, respectively), and believes that the effects of official intervention will be short-lived, as the root causes of yen weakness remain.

Goldman Sachs Cuts Yen Forecast Significantly, Predicts Drop to 165 Within a Year

On July 6, BNK Busan Bank completed a pilot for KRW stablecoin infrastructure on the Kaia Chain. This proof of concept (PoC) was conducted in collaboration with K-STAR Alliance partners AhnLab Blockchain Company, Lambda256, and Open Asset. The test results showed a 100% transaction success rate, with processing times under 1 second.

[Busan Bank Completes KRW Stablecoin Infrastructure Pilot on Kaia Chain]On July 6, BNK Busan Bank completed a pilot for KRW stablecoin infrastructure on the Kaia Chain. This proof of concept (PoC) was conducted in collaboration with K-STAR Alliance partners AhnLab Blockchain Company, Lambda256, and Open Asset. The test results showed a 100% transaction success rate, with processing times under 1 second.

Busan Bank Completes KRW Stablecoin Infrastructure Pilot on Kaia Chain

On July 6, according to Token Unlocks data, tokens such as HYPE, PUMP, and APT will experience significant unlocks this week. Specifically, Hyperliquid (HYPE) unlocked approximately 452,000 tokens worth about $30.9 million on July 6 at 8 AM; RedStone (RED) will unlock approximately 40.85 million tokens worth about $4.1 million on July 7 at midnight; Movement (MOVE) will unlock approximately 165 million tokens worth about $2 million on July 9 at 8 PM; Linea (LINEA) will unlock approximately 1.08 billion tokens worth about $2.7 million on July 10 at 7 PM; io.net (IO) will unlock approximately 13.29 million tokens worth about $2.3 million on July 11 at 8 PM; Pump.fun (PUMP) will unlock approximately 8.25 billion tokens worth about $125 million on July 12 at 10 PM; Aptos (APT) will unlock approximately 11.31 million tokens worth about $6.9 million on July 12 at 10 PM.

[This Week's Token Unlock Overview: HYPE, PUMP, APT, and Others to Experience Major Unlocks]On July 6, according to Token Unlocks data, tokens such as HYPE, PUMP, and APT will experience significant unlocks this week. Specifically, Hyperliquid (HYPE) unlocked approximately 452,000 tokens worth about $30.9 million on July 6 at 8 AM; RedStone (RED) will unlock approximately 40.85 million tokens worth about $4.1 million on July 7 at midnight; Movement (MOVE) will unlock approximately 165 million tokens worth about $2 million on July 9 at 8 PM; Linea (LINEA) will unlock approximately 1.08 billion tokens worth about $2.7 million on July 10 at 7 PM; io.net (IO) will unlock approximately 13.29 million tokens worth about $2.3 million on July 11 at 8 PM; Pump.fun (PUMP) will unlock approximately 8.25 billion tokens worth about $125 million on July 12 at 10 PM; Aptos (APT) will unlock approximately 11.31 million tokens worth about $6.9 million on July 12 at 10 PM.

This Week's Token Unlock Overview: HYPE, PUMP, APT, and Others to Experience Major Unlocks

On July 6, according to monitoring by ai9684xtpa, as SK Hynix continued to decline during the trading session, a certain whale initiated a long position of approximately $7.8 million in SK Hynix (SKHX) with 3x leverage about half an hour ago, at an opening price of around $1,604. The current exposure holds about 5,095 contracts, with plans to add approximately $6 million more when the price falls within the range of $1,400 to $1,500. Additionally, this account holds about $8.3 million in a 4x long position on Micron (MU), with the total unrealized loss for both long positions in the storage sector currently at approximately $590,000.

[Whale Increases Investment in Storage Sector, $16.09 Million Long on SK Hynix and Micron]On July 6, according to monitoring by ai9684xtpa, as SK Hynix continued to decline during the trading session, a certain whale initiated a long position of approximately $7.8 million in SK Hynix (SKHX) with 3x leverage about half an hour ago, at an opening price of around $1,604. The current exposure holds about 5,095 contracts, with plans to add approximately $6 million more when the price falls within the range of $1,400 to $1,500. Additionally, this account holds about $8.3 million in a 4x long position on Micron (MU), with the total unrealized loss for both long positions in the storage sector currently at approximately $590,000.

Whale Increases Investment in Storage Sector, $16.09 Million Long on SK Hynix and Micron

HTX data monitoring shows that LINK has fallen below 8 USDT, currently reported at 7.99 USDT, with a 24H increase of 1.38%.

【LINK falls below 8 USDT】HTX data monitoring shows that LINK has fallen below 8 USDT, currently reported at 7.99 USDT, with a 24H increase of 1.38%.

LINK falls below 8 USDT

On July 6, CryptoSlate reported that South Korean Bitcoin treasury company Bitplanet has signed a memorandum of understanding (MOU) with Nasdaq-listed Antalpha and its partners, planning to introduce 15 billion KRW worth of Bitcoin mining equipment and to launch full-scale mining operations this month. The Bitcoin mined in the future will be recognized as operating income and managed as a long-term financial asset. According to the plan, the first phase of equipment is expected to produce over 7 BTC per month, totaling more than 80 BTC annually (subject to equipment utilization and electricity prices). The mining equipment will be deployed in overseas regions with competitive electricity costs, including Oman and Paraguay, and will adopt an overseas custody and joint operation model.

[Bitplanet Signs MOU with Antalpha to Invest 15 Billion KRW in Bitcoin Mining Equipment]On July 6, CryptoSlate reported that South Korean Bitcoin treasury company Bitplanet has signed a memorandum of understanding (MOU) with Nasdaq-listed Antalpha and its partners, planning to introduce 15 billion KRW worth of Bitcoin mining equipment and to launch full-scale mining operations this month. The Bitcoin mined in the future will be recognized as operating income and managed as a long-term financial asset. According to the plan, the first phase of equipment is expected to produce over 7 BTC per month, totaling more than 80 BTC annually (subject to equipment utilization and electricity prices). The mining equipment will be deployed in overseas regions with competitive electricity costs, including Oman and Paraguay, and will adopt an overseas custody and joint operation model.

Bitplanet Signs MOU with Antalpha to Invest 15 Billion KRW in Bitcoin Mining Equipment

HTX data monitoring shows that ETH has broken through 1800 USDT, currently reported at 1800.6 USDT, with a 24H increase of 1.01%.

【ETH breaks through 1800 USDT】HTX data monitoring shows that ETH has broken through 1800 USDT, currently reported at 1800.6 USDT, with a 24H increase of 1.01%.

ETH breaks through 1800 USDT

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ETH breaks through 1800 USDT

Isenção de responsabilidade：O conteúdo acima não representa as posições da HTX.，A HTX não faz quaisquer recomendações de negociação.。

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