Queda acentuada de Sonic (S)

Lido has launched an upgrade to its liquid staking protocol aimed at improving validator efficiency and decentralization on Ethereum. The update, called Curated Module v2, introduces support for Ethereum's 0x02 withdrawal credentials, allowing validators to increase their effective balance from 32 ETH to up to 2,048 ETH. According to Lido's projections, this migration could reduce the total number of Ethereum validators by about one-third, from approximately 880,000 to 628,000. This reduction is expected to streamline the network's consensus layer by decreasing the number of validators and the messages needed to maintain the network, without affecting execution-layer activity or transaction fees. The upgrade also implements new accountability measures for Lido's node operators, including bonding and penalty mechanisms. Future stake distribution may place greater emphasis on operator performance, fees, and contributions to the Ethereum ecosystem. Lido stated that stakers are not required to take any action, as the upgrade will be handled at the protocol level.

Strategy's variable-rate preferred stock, STRC, closed above $90 for the first time in seven weeks, marking a nearly 24% rebound from its June closing low of $74.57. The recovery follows company actions to support the stock, including selling 1,638 Bitcoin for $104.7 million—with half used to fund dividends and half for STRC repurchases. Strategy also raised $290.6 million through MSTR share sales, allocating a portion to further repurchases and increasing its dollar reserve to $4 billion. Despite the rebound, STRC remains below its target trading range of $99 to $100.

**Title:** After Memes, Solana Foundation's "Survival Roadmap" **Summary:** Solana Foundation's recent hiring spree for senior roles in stablecoins, AI, Asian institutional growth, and DeFi signals a strategic pivot away from its meme-driven past. This move comes as the blockchain faces a 43% quarterly drop in real economic value and declining application revenue, despite maintaining high network activity. While meme platforms like Pump.fun still dominate fee generation, new demand is emerging in tokenized equities (with $5.8B volume in Q2, a 114% increase) and institutional adoption (7 global systemically important banks are now active on Solana). The foundation's new hires aim to bridge a critical gap: transforming this growing non-speculative demand into sustainable, fee-generating activity. The stablecoin lead seeks "step-change growth" for a sector lagging behind competitors. The Asia-focused roles aim to convert institutional interest into concrete pipelines, leveraging upcoming network upgrades for millisecond settlement. The AI ecosystem role is tied to new stablecoin payment channels for AI agents, a nascent but promising revenue stream. The core challenge is clear: reduce reliance on volatile meme trading income and successfully monetize the rising institutional and real-world asset activity. The success of this "survival roadmap" will be measured by whether projects from these new focus areas can break into Solana's top revenue rankings, displacing the current meme-centric leaders.

China's 'Biology DeepSeek' Emerges: Four Oxford Alumni Aim to Let AI Take Over Life Sciences Following DeepSeek-V4-Flash's global impact, a Chinese counterpart for life sciences has arrived. Jindu Bio, founded by four Oxford University alumni, has developed GeneLLM, a multi-omics large language model. Published in top journals *Nature Communications* and *Advanced Science*, GeneLLM is the first model pre-trained directly on raw omics data, aiming to understand the "language" and "system" of life. GeneLLM treats the four RNA bases (A, U, G, C) as fundamental tokens, learning from raw sequencing data without relying on pre-defined annotations. It uses a Transformer architecture to predict the next base, processing trillions of RNA reads. With versions ranging from 1.5 billion to 30 billion parameters, it achieves high accuracy in disease prediction with significantly lower-cost, shallow-depth sequencing, making precision medicine more accessible. Beyond the model, Jindu Bio is building BioFord Harness, an infrastructure to connect AI with physical labs. This system translates scientific intent into executable commands for various lab equipment, manages scheduling, and creates a data feedback loop. Its platform features five collaborative AI agents for literature review, experimental design, scientific reasoning, lab scheduling, and data analysis, drastically speeding up research cycles. Crucially, it turns all experimental data—including failures—into valuable learning material. The founding team combines expertise in bioengineering, AI, computational biology, and business. After initial challenges in securing funding, the company completed four financing rounds in 2023 following China's national push for "AI+" initiatives, supported by prominent investors like Sequoia Capital China and Gaotegaj Investment. In the broader AI for BioScience landscape, Jindu carves a unique niche. Unlike digital-only AI scientists or capital-intensive fully automated labs, it focuses on the "last mile" of infrastructure—orchestrating the entire research workflow by bridging AI models with existing laboratory hardware. Its long-term vision is to build an intelligent operating system for life sciences, defining a new, scalable paradigm for scientific discovery.

A recent article details U.S. senators' calls for an SEC investigation into the Donald Trump-themed memecoin "TRUMP" on the Solana blockchain. Democratic Senators Elizabeth Warren and Richard Blumenthal reportedly sent a letter to the SEC urging a probe for potential market manipulation and investor harm, citing concerns over "pump-and-dump" risks and irreversible losses for millions of investors. However, blockchain analytics firm TRM Labs stated there is no strong evidence the token was specifically designed as a rug pull. The firm did highlight that a significant concentration of the token supply among insiders or related addresses is a risk factor requiring close monitoring. Their assessment noted that while early investors and the token issuer saw substantial profits, numerous retail investors who bought later incurred significant losses. TRM Labs suggested this structure, even if not technically classified as a pump-and-dump scheme, could become increasingly controversial over time.